Difference between revisions of "Project Nightingale"
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− | '''Project Nightingale''' is a Google initiative that is meant to collect and analyze millions of patients’ personal-health information in the United States <ref name = "WSJ">https://www.wsj.com/articles/google-s-secret-project-nightingale-gathers-personal-health-data-on-millions-of-americans-11573496790 | + | '''Project Nightingale''' is a Google initiative that is meant to collect and analyze millions of patients’ personal-health information in the United States.<ref name = "WSJ">Copeland, Rob. “Google's 'Project Nightingale' Gathers Personal Health Data on Millions of Americans.” The Wall Street Journal, 11 Nov. 2011, https://www.wsj.com/articles/google-s-secret-project-nightingale-gathers-personal-health-data-on-millions-of-americans-11573496790.</ref> Google is one of the largest technology companies in the world that is most known for its internet search engine, however, it continues to look to expand upon its capabilities. The project sits under the Google Cloud division, which is run by Thomas Kurian; Project Nightingale started in 2018, and has only become bigger as time has progressed. |
− | With Project Nightingale, Google works with Ascension, the second largest healthcare system in the country that has 2,600 hospitals, to obtain access to over 50 million patients’ medical records ( | + | With Project Nightingale, Google works with Ascension, the second largest healthcare system in the country that has 2,600 hospitals, to obtain access to over 50 million patients’ medical records.<ref name = "second">Lawmakers push again for info on google's 'project nightingale'. (2020, Mar 03). Dow Jones Institutional News Retrieved from https://proxy.lib.umich.edu/login?url=https://www.proquest.com/wire-feeds/lawmakers-push-again-info-on-googles-project/docview/2370268359/se-2?accountid=14667</ref> As Ascension is handing over data, in return they receive any new services that Google creates from the data. Ascension’s goal of working with Google is to improve upon its patient care system to centralize its electronic record-keeping processes by moving its data to the cloud; there is a rapid growth in the volume of healthcare information, as healthcare professionals are overwhelmed within the United States system.<ref name = "third">Brandt, Richard, and Rich Rice. “Building a Better PHR Paradigm: Lessons from the Discontinuation of Google Health.” Health Policy and Technology, vol. 3, no. 3, 2014, pp. 200–207. </ref> Google’s end goal is to be able to create tools (using the data and information to build artificial intelligence algorithms) to identify and predict health problems before a patient visits a doctor, which helps with decision making for patient treatment. |
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+ | Project Nightingale has become an increasingly debated topic as lawmakers are seeking to gain more insight into the operations and ethics of this Google project to see whether it is driving medical innovation or prioritizing Google’s profits; Google has a large advertisement division, which makes its money from knowing as much information on consumers as possible. Those who are against Project Nightingale are worried about the privacy of their health data as it gets into the hands of one of the largest technology companies in the world. In addition, as it has happened in the past within healthcare, people of color are concerned about the algorithms being generated from this project which could systematically discriminate against them. | ||
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Google was started on the foundation of providing information to consumers in convenient ways, in which the technology firm has gained a major interest in using this within the healthcare industry. Project Nightingale is not the first healthcare venture that has started in Google. | Google was started on the foundation of providing information to consumers in convenient ways, in which the technology firm has gained a major interest in using this within the healthcare industry. Project Nightingale is not the first healthcare venture that has started in Google. | ||
− | Google Health started its development in 2006 as an online personal health records service that allowed people to enter, update and edit their health and wellness information <ref name = "WSJ"></ref> | + | Google Health started its development in 2006 as an online personal health records service that allowed people to enter, update and edit their health and wellness information.<ref name = "WSJ"></ref> One of Google’s main goals was to reduce medical errors and cut the costs of healthcare in the United States.<ref name = "fourth">Tanne, Janice Hopkins. “Google launches free electronic health records service for patients.” BMJ (Clinical research ed.) vol. 336,7655 (2008)</ref> As there is a ton of patient data, data management contributes to rising healthcare administrative costs.<ref name = "third">Brandt, Richard, and Rich Rice. “Building a Better PHR Paradigm: Lessons from the Discontinuation of Google Health.” Health Policy and Technology, vol. 3, no. 3, 2014, pp. 200–207.</ref> Google continued to develop this product for two years before live testing with 1,600 patients at the Cleveland Clinic. From there, the Google Health Beta Edition was released to the public in 2008.<ref name = "third"></ref> The product allowed a user to create an account and enter their personal medical records (manually or automatically from hospitals, laboratories, and pharmacies that were Google Health partners).<ref name = "sixth">“Google Health Is Dead. (But This Isn't the End of 'Google Health.').” Advisory Board, 24 Aug. 2021, https://www.advisory.com/daily-briefing/2021/08/24/google-health. </ref> During this time, there were fears over the safety and security of users’ stored health information; Google released a statement saying “no personal or medical information in your Google Health profile is used to customize your Google.com search results or used for advertising."<ref name = "sixth"></ref> |
− | Due to its lack of adoption and scalability, the electronic personal health records (PHR) platform closed its operations in 2012. Patients did not always receive dependable information as many users did not take the time needed to update the details of their healthcare records | + | Due to its lack of adoption and scalability, the electronic personal health records (PHR) platform closed its operations in 2012. Patients did not always receive dependable information as many users did not take the time needed to update the details of their healthcare records.<ref name = "seventh">O'Mara, Morgan. “3 Reasons Why Google Health Failed.” Record Nations, 14 July 2021, https://www.recordnations.com/2015/11/3-reasons-why-google-health-failed/#:~:text=Lack%20of%20Provider%20Relationships,often%20get%20patients%20using%20PHRs. </ref> Google Health did not have strong relationships with big labs, so users were not able to access their test results within the platform; the key was to build strong partnerships with providers to be able to acquire patients.<ref name = "seventh"></ref> This is something Google learned as it began to scale Project Nightingale. |
=== Other Google Health Projects === | === Other Google Health Projects === | ||
− | In 2019, Google acquired wearable fitness device company Fitbit for $2.1 Billion giving it access to user data such as daily steps, heart rate, calories burned, and location. | + | In 2019, Google acquired wearable fitness device company Fitbit for $2.1 Billion giving it access to user data such as daily steps, heart rate, calories burned, and location. This has been an increasing trend for Google as it acquires new companies and information to continue conducting analyses with healthcare data. |
− | Google also uses “emergent medical | + | Google also uses “emergent medical data."<ref name = "eighth">Marks, Mason. “Everyone Is Asking the Wrong Question about Google's New Health Care Project.” Slate Magazine, Slate, 20 Nov. 2019, https://slate.com/technology/2019/11/google-ascension-project-nightingale-emergent-medical-data.html. </ref> Emergent medical data is health data analyzed by artificial intelligence from normal consumer behavior. Anytime a user interacts with technology, they leave behind a digital footprint of their behavior that can serve as raw materials for companies like Google to mine for emergent medical data.<ref name = "eighth"></ref> Other companies mine for emergent medical data as well; a study found that Facebook analyzed social media posts of almost 1,000 Facebook users to discover that religious language such as “God” or “Lord” were strong indicators of diabetes.<ref name = "eighth"></ref> |
− | In 2019, Google patented a smart home device that mined emergent medical data from occupants’ behavior to conclude whether they | + | In 2019, Google patented a smart home device that mined emergent medical data from occupants’ behavior to conclude whether they were developing Alzheimer’s disease or substance use disorders.<ref name = "eighth"></ref> While Project Nightingale takes on a massive amount of data, its opposers believe it is a piece to a larger puzzle that will help Google increase its personalization tactics. |
=== Launching Project Nightingale === | === Launching Project Nightingale === | ||
− | In 2018, the company attempted to re-launch its separate health division to consolidate the company’s health projects which spanned across web services, software, and AI-backed products. These projects consisted of topics such as Google Brain (focused on deep learning), Google Fit (focused on wearable fitness devices), and Project Nightingale | + | In 2018, the company attempted to re-launch its separate health division to consolidate the company’s health projects which spanned across web services, software, and AI-backed products. These projects consisted of topics such as Google Brain (focused on deep learning), Google Fit (focused on wearable fitness devices), and Project Nightingale.<ref name = "fourth"></ref> However, it closed down its operations in 2021 as the company felt it was best to split up the combined healthcare strategy into other segments. These projects have continued to be worked on, just within the research division of Google as Project Nightingale is within Google Cloud.<ref name = "fourth"></ref> |
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== What Project Nightingale Uses and its Potential Benefits == | == What Project Nightingale Uses and its Potential Benefits == | ||
− | Before partnering with Google, Ascension used 40 data centers in more than a dozen states. Project Nightingale uses lab results, doctor diagnoses, hospitalization records, and lots of other medical information to analyze patient data; the amount of data compares to a complete health history, such as patient names, family member addresses, and dates of birth | + | Before partnering with Google, Ascension used 40 data centers in more than a dozen states. Project Nightingale uses lab results, doctor diagnoses, hospitalization records, and lots of other medical information to analyze patient data; the amount of data compares to a complete health history, such as patient names, family member addresses, and dates of birth.<ref name = "third"></ref> This data is used with artificial intelligence and machine learning to create strategies that will improve patients’ treatment. These algorithms can help predict diseases a patient might have before a doctor has even diagnosed them; clinicians are able to make data-driven decisions that can save their patients’ lives. |
− | A pathology report is a document that contains the diagnosis determined by examining cells and tissues under a microscope; pathologists provide one of the most significant sources of diagnostic data for providers within the world of care delivery | + | A pathology report is a document that contains the diagnosis, which is determined by examining cells and tissues under a microscope; pathologists provide one of the most significant sources of diagnostic data for providers within the world of care delivery.<ref name = "ninth">Bresnick, Jennifer. “Top 12 Ways Artificial Intelligence Will Impact Healthcare.” HealthITAnalytics, HealthITAnalytics, 25 Aug. 2020, https://healthitanalytics.com/news/top-12-ways-artificial-intelligence-will-impact-healthcare. </ref> “70% of all decisions in healthcare are based on a pathology result and between 70-75% of all data in an electronic health record are from a pathology result” states Jeffrey Golden, MD, the Chair of the Department of Pathology at Brigham & Women’s Hospital.<ref name = "ninth"></ref> Analytics on the data from artificial intelligence can drill down “to the pixel level” on extremely large digital images, which allow healthcare professionals to identify variations that the human eye cannot catch.<ref name = "ninth"></ref> Golden states that these analytics can help providers get a more accurate diagnosis, and the sooner the correct diagnosis, the higher likelihood of a better outcome for the patient.<ref name = "ninth"></ref> It is tools such as this that Project Nightingale is capable of producing that will become extremely beneficial to hospitals. |
− | Project Nightingale is keeping up with the healthcare industry trends as artificial intelligence and automation is one of the biggest trends in the sector | + | Project Nightingale is keeping up with the healthcare industry trends as artificial intelligence and automation is one of the biggest trends in the sector.<ref name = "tenth">Martin, Geoffrey. “Top 10 Emerging Trends in Health Care for 2021: The New Normal.” AHA Trustee Services, AHA Trustee Services, 14 Jan. 2022, https://trustees.aha.org/top-10-emerging-trends-health-care-2021-new-normal.</ref> Real-time analytics are being used to expedite care as other organizations are also using up-to-date information to drive the treatment process. Healthcare workers have become frustrated with the manual aspect of paperwork and find it extremely helpful to have processes automated.<ref name = "third"></ref> |
− | [[ | + | [[File:Healthcarebigdata.png|600px|center]] |
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== Ethics of Project Nightingale == | == Ethics of Project Nightingale == | ||
=== Misuse of Data Concerns === | === Misuse of Data Concerns === | ||
− | When the Wall Street Journal broke the news about the secret operation of Project Nightingale, doctors nor patients were not formally notified of the partnership between Google and Ascension ( | + | When the Wall Street Journal broke the news about the secret operation of Project Nightingale, doctors nor patients were not formally notified of the partnership between Google and Ascension.<ref name = "eleventh">McDonnell, Peter J. "Perils of Project Nightingale: Google-Ascension deal ignites private data debate." Ophthalmology Times 44.20 (2019): 4. Business Insights: Essentials. Web.</ref> In 2019, The Office for Civil Rights in the Department of Health and Human Services sought to learn more information about Project Nightingale’s data collection to ensure that HIPAA protections were fully implemented. Under the HIPAA Privacy Rule, hospitals are allowed to share data with business partners without telling patients as long as the information is used "only to help the covered entity carry out its health-care functions." <ref name = "eleventh"></ref> Experts state that Project Nightingale appears to be permissible under federal law as a spokeswoman stated the Ascension data would not be used to sell ads. <ref name = "eleventh"></ref> However Kirsten Ostherr, a co-founder and the director of the Medical Futures Lab at Rice University, states that “it is widely agreed that HIPAA is out of date."<ref name = "twelfth">Fussell, Sidney. “Google's Totally Creepy, Totally Legal Health-Data Harvesting.” The Atlantic, Atlantic Media Company, 15 Nov. 2019, https://www.theatlantic.com/technology/archive/2019/11/google-project-nightingale-all-your-health-data/601999/. </ref> It is also noted that searching for a dermatologist or stores that sell Plan B is not protected under HIPAA; these results are data that Google already tracks alongside users’ IP address and location.<ref name = "twelfth"></ref> Google already has access to millions of patient records through relationships with healthcare partners, such as the Mayo Clinic, the University of Chicago, and the Cleveland Clinic. What makes this project with Ascension different is the magnitude and scale of it.<ref name = "eighth"></ref> United States Senators Amy Klobuchar and Lisa Murkowski proposed a law, the Protecting Personal Health Data Act, which addresses health privacy concerns by requiring the Secretary of Health and Human Services to publicize regulations for new health technologies such as health apps and wearable devices that are not regulated by existing laws. <ref name = "eighth">Marks, Mason. “Everyone Is Asking the Wrong Question about Google's New Health Care Project.” Slate Magazine, Slate, 20 Nov. 2019, https://slate.com/technology/2019/11/google-ascension-project-nightingale-emergent-medical-data.html.</ref> |
− | Ellen Wright Clayton, a professor of biomedical ethics at Vanderbilt University is worried that Project Nightingale will use the health data to perform independent research outside the direct scope of treatment for the patients | + | Ellen Wright Clayton, a professor of biomedical ethics at Vanderbilt University is worried that Project Nightingale will use the health data to perform independent research outside the direct scope of treatment for the patients.<ref name = "eleventh"></ref> An anonymous whistleblower from Google came out and stated that those on the project team did not necessarily know which artificial intelligence algorithms were being used as the data was being transferred from the hospital groups to Google. <ref name = "thirteenth">“I'm the Google Whistleblower. the Medical Data of Millions of Americans Is at Risk | Anonymous.” The Guardian, Guardian News and Media, 14 Nov. 2019, https://www.theguardian.com/commentisfree/2019/nov/14/im-the-google-whistleblower-the-medical-data-of-millions-of-americans-is-at-risk.</ref> When the report of the Project first came out, it had been claimed that over 100 Google employees had been able to access the data of patients tied to the Project. <ref name = "second"></ref> While Google states it will not use the Ascension data outside the scope of the project, there is a difference between the data itself and the knowledge Google can get access to from analyzing the data; this gives Google the opportunity to apply this knowledge to other aspects of its business while technically still playing within the rules.<ref name = "eighth"></ref> Those that oppose Project Nightingale speculate that Google will take the health data and identify new indicators of health that can be used to infer consumers’ medical conditions outside of the healthcare system.<ref name = "eighth"></ref> From here, Google could use its Google Ads business to target different users; in 2019, the company expected $120 billion of its revenue to come from advertising (making up ~83% of its parent company’s total revenue).<ref name = "fourteenth"> Wallace, Frankie. “Data Privacy & Google: What Are the Security Risks?” United States Cybersecurity Magazine, 17 Aug. 2020, https://www.uscybersecurity.net/data-privacy-google/. </ref> |
− | === Security of | + | === Security of Data Concerns === |
− | With all data privacy issues, patients and health care providers are worried about the protection of their information. In 2018, Google was the victim of a major data privacy offense in which five million Google+API users had their private data exposed. As the company stores massive amounts of personalized information, it leaves itself extremely vulnerable for more attacks. In 2021, one of the biggest cloud computing challenges for IT service providers was security of data | + | With all data privacy issues, patients and health care providers are worried about the protection of their information. In 2018, Google was the victim of a major data privacy offense in which five million Google+API users had their private data exposed. As the company stores massive amounts of personalized information, it leaves itself extremely vulnerable for more attacks. In 2021, one of the biggest cloud computing challenges for IT service providers was the security of data.<ref name = "fifteenth">Patel, Rushi. “10 Major Cloud Computing Challenges to Face in 2022.” 10 Major Cloud Computing Challenges to Face in 2022, 1 Feb. 2022, https://www.mindinventory.com/blog/cloud-computing-challenges/. </ref> There are several situations that can stem from stolen health data: finding details about specific diseases & illnesses of a patient and long-term identity theft.<ref name = "sixteenth">Steger, Andrew. “What Happens to Stolen Healthcare Data?” Technology Solutions That Drive Healthcare, 8 Sept. 2021, https://healthtechmagazine.net/article/2019/10/what-happens-stolen-healthcare-data-perfcon. </ref> For example, a hacker can use information about one’s private sexually transmitted disease to coerce them into paying a lump sum of cash or doing what they tell them to do.<ref name = "sixteenth"></ref> With long-term identity theft, unlike bank information, the health information of one does not change, so once the hacker has it, they have it forever. Brandon Reagin, a victim of stolen health data, states that his hacker had multiple medical procedures completed, which amounted to nearly $20,000 in hospital bills; this is something he has dealt with for over 15 years.<ref name = "sixteenth"></ref> As it recognizes these concerns, Google has learned from the past and continues to strengthen its security protocols through its $10 billion investment in advancing cybersecurity over the next five years; it plans on expanding zero-trust programs, helping secure the software supply chain, and enhancing open-source security.<ref name = "seventeenth">Walker, Kent. “Why We're Committing $10 Billion to Advance Cybersecurity.” Google, Google, 25 Aug. 2021, https://blog.google/technology/safety-security/why-were-committing-10-billion-to-advance-cybersecurity/.</ref> |
=== Discrimination Concerns === | === Discrimination Concerns === | ||
− | As Google builds out algorithms in Project Nightingale, a concern is that they may discriminate against various communities of people. A term for this is “algorithmic bias,” which is defined as the application of an algorithm that compounds existing inequities in socioeconomic status, race, | + | As Google builds out algorithms in Project Nightingale, a concern is that they may discriminate against various communities of people. A term for this is “algorithmic bias,” which is defined as the application of an algorithm that compounds existing inequities in socioeconomic status, race, ethnic background, religion, gender, disability, or sexual orientation and amplifies inequities in health systems.<ref name = "fourteenthpt2">Igoe, Katherine J. “Algorithmic Bias in Health Care Exacerbates Social Inequities - How to Prevent It.” Executive and Continuing Professional Education, 12 Mar. 2021, https://www.hsph.harvard.edu/ecpe/how-to-prevent-algorithmic-bias-in-health-care/. </ref> In the field of genetics, it is estimated that Caucasians make up almost 80% of collected data, and thus studies may be more applicable for that group than for other underrepresented groups.<ref name = "fourteenthpt2">Igoe, Katherine J. “Algorithmic Bias in Health Care Exacerbates Social Inequities - How to Prevent It.” Executive and Continuing Professional Education, 12 Mar. 2021, https://www.hsph.harvard.edu/ecpe/how-to-prevent-algorithmic-bias-in-health-care/. </ref> |
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+ | In 2019, a study published in ''Science'' concluded that an algorithm widely used in US hospitals was less likely to refer black people than white people (who were equally sick) to programs that aim to improve care for patients with complex medical records.<ref name = "eighteenth">Ledford, Heidi. “Millions of Black People Affected by Racial Bias in Health-Care Algorithms.” Nature News, Nature Publishing Group, 24 Oct. 2019, https://www.nature.com/articles/d41586-019-03228-6. </ref> For researchers, a study like this is important because it is extremely hard to gain access to a large set of health data to run full tests; there have only been smaller studies conducted.<ref name = "eighteenth"></ref> Scientists theorize that the reasoning for the lack of access to care is due to the effects of systemic racism, which ranges from doubt of the healthcare system to direct racial discrimination by healthcare providers.<ref name = "eighteenth"></ref> This study shines a light on a major problem that worries patients who have their medical information tied with the Ascension data. In recent history, Google has been exposed in under-representing people of color in its image search.<ref name = "twentyfive">Cohn, Jonathan. “Google's Algorithms Discriminate against Women and People of Colour.” The Conversation, 10 Aug. 2020, https://theconversation.com/googles-algorithms-discriminate-against-women-and-people-of-colour-112516.</ref> This 2019 study shows there is the potential for inequality in the data resulting in unjust practices from the algorithms. As Project Nightingale is working with one of the largest healthcare providers in the country, these algorithms could have unintended effects if not addressed. | ||
== Competition == | == Competition == | ||
− | Google has a stronghold on the healthcare data segment. On May 26th, 2021, Google and HCA Healthcare, a national hospital chain, announced they are teaming up in a data sharing partnership | + | Google has a stronghold on the healthcare data segment. On May 26th, 2021, Google and HCA Healthcare, a national hospital chain, announced they are teaming up in a data sharing partnership.<ref name = "nineteenth">Tom Kelly, IDX. “Google's Health Care Data-Sharing Partnership Is a Problem.” VentureBeat, VentureBeat, 20 June 2021, https://venturebeat.com/2021/06/20/googles-health-care-data-sharing-partnership-is-a-problem/. </ref> This partnership will allow Google to gain more access to a host of patient records with real-time medical information. This comes as the company has a lot of knowledge with emergent medical data and Fitbit data. <ref name = "nineteenth"></ref> Accessing medical records has given Google a major leg-up against its competitors who are trying to replicate the technology company’s work. Facebook does not use health data to make predictions, it uses user-generated content; with this lack of access, the accuracy of its health predictions are extremely variable. <ref name = "nineteenth"></ref> |
=== Microsoft === | === Microsoft === | ||
− | Microsoft had its own personal health record system called | + | Microsoft had its own personal health record system called “HealthVault” which helped users store health data and fitness information in a centralized location. What happened with the original Google Health platform held true for HealthVault as well; it did not have enough adoption as it did not help users understand and address their health concerns and problems. What differentiates Google is the fact that now it has patient-acquired data, which can help it create innovative services and products. <ref name = "twenty">Brown, Donald. “What the Failure of Microsoft's HealthVault Means for the Future of Ehrs.” Healthcare IT News, 22 Apr. 2019, https://hitconsultant.net/2019/04/19/what-the-failure-of-microsofts-healthvault-means-for-the-future-of-ehrs/. </ref> |
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+ | === IBM === | ||
+ | Other companies have or are starting to follow suit and use healthcare data to create artificial intelligence tools and services. In 2016, IBM bought Truven Health Analytics for $2.6 billion for their healthcare data of tens of millions of medical records and years of health insurance data. <ref name = "twentyone">“IBM to Acquire Truven Health Analytics for $2.6 Billion.” Reuters, Thomson Reuters, 18 Feb. 2016, https://www.reuters.com/article/us-truven-m-a-ibm/ibm-to-acquire-truven-health-analytics-for-2-6-billion-idUSKCN0VR1SS. </ref> This acquisition of Truven will help IBM find health cost savings, improve healthcare outcomes, fight fraud, and make operations more efficient. <ref name = "twentyone"></ref> | ||
=== Small Company Partnerships === | === Small Company Partnerships === | ||
− | As there | + | As there is a debate over the ethicalness of tech giants using healthcare data to create artificial intelligence algorithms (like Google, Facebook, Microsoft, and IBM), small companies have arisen to work with patient-acquired data. The Indiana University School of Medicine has partnered with a small Indianapolis-based company, LifeOmic, to create a cloud-based service that uses artificial intelligence to deliver insights to patients, providers, and clinical researchers. <ref name = "twenty"></ref> |
=== CloudMedx === | === CloudMedx === | ||
− | There are also companies whose sole business model is to create predictive analyses for healthcare providers using the medical data. CloudMedx is a startup in California that uses disparate healthcare data and converts into actionable treatment for patients | + | There are also companies whose sole business model is to create predictive analyses for healthcare providers using the medical data. CloudMedx is a startup in California that uses disparate healthcare data and converts into actionable treatment for patients. <ref name = "twentytwo">CloudMedx, https://cloudmedxhealth.com/about/. </ref> The founder of the company advocates for uses of data like this as his father almost died as a result of a misdiagnosis; he believes it is technology like CloudMedx (and Project Nightingale) that can shape the future of the healthcare industry and save more patients with faster and more accurate diagnoses. |
== Looking Ahead == | == Looking Ahead == | ||
− | As the world continues to increase its technological capabilities, humans’ lives will only continue to digitize more. | + | As the world continues to increase its technological capabilities, humans’ lives will only continue to digitize more. While this is occurring, there are different perspectives on the extent to which this digitalization should influence and control lives. As with Project Nightingale and all of the Google Health initiatives, it comes down to the protection and use of data and whether it will benefit society. This is a concern that people like Clayton and Senators Klobuchar & Murkowski have for these types of projects; they speculate that Google’s main interest is to continue to increase the amount of data it has. This will help the technology company continue to strengthen its ad revenue business. However, the other side, such as people/groups like Ascension and Doctor Golden, believe that the AI-powered tools that Google can create from Project Nightingale can save lives and improve the healthcare system. |
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+ | In a statement last year, a Google spokesperson stated that “Google deeply believes in the power of technology to improve health and wellness and we have increased our health investments across the company. Today, health is growing, and the Google Health name will continue to encompass our projects that share the common purpose to improve global health outcomes." <ref name = "twentythree"> Landi, Heather. “Google Says Health Projects Will Continue Even as It Unwinds Dedicated Health Division.” Fierce Healthcare, 23 Aug. 2021, https://www.fiercehealthcare.com/tech/google-dissolved-its-unified-health-division-what-s-next-for-its-health-tech-strategy. </ref> | ||
== References == | == References == |
Latest revision as of 18:29, 11 February 2022
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Project Nightingale is a Google initiative that is meant to collect and analyze millions of patients’ personal-health information in the United States.[1] Google is one of the largest technology companies in the world that is most known for its internet search engine, however, it continues to look to expand upon its capabilities. The project sits under the Google Cloud division, which is run by Thomas Kurian; Project Nightingale started in 2018, and has only become bigger as time has progressed.
With Project Nightingale, Google works with Ascension, the second largest healthcare system in the country that has 2,600 hospitals, to obtain access to over 50 million patients’ medical records.[2] As Ascension is handing over data, in return they receive any new services that Google creates from the data. Ascension’s goal of working with Google is to improve upon its patient care system to centralize its electronic record-keeping processes by moving its data to the cloud; there is a rapid growth in the volume of healthcare information, as healthcare professionals are overwhelmed within the United States system.[3] Google’s end goal is to be able to create tools (using the data and information to build artificial intelligence algorithms) to identify and predict health problems before a patient visits a doctor, which helps with decision making for patient treatment.
Project Nightingale has become an increasingly debated topic as lawmakers are seeking to gain more insight into the operations and ethics of this Google project to see whether it is driving medical innovation or prioritizing Google’s profits; Google has a large advertisement division, which makes its money from knowing as much information on consumers as possible. Those who are against Project Nightingale are worried about the privacy of their health data as it gets into the hands of one of the largest technology companies in the world. In addition, as it has happened in the past within healthcare, people of color are concerned about the algorithms being generated from this project which could systematically discriminate against them.
Contents
The Rise and Fall of Google Health
How Google Health Started
Google was started on the foundation of providing information to consumers in convenient ways, in which the technology firm has gained a major interest in using this within the healthcare industry. Project Nightingale is not the first healthcare venture that has started in Google.
Google Health started its development in 2006 as an online personal health records service that allowed people to enter, update and edit their health and wellness information.[1] One of Google’s main goals was to reduce medical errors and cut the costs of healthcare in the United States.[4] As there is a ton of patient data, data management contributes to rising healthcare administrative costs.[3] Google continued to develop this product for two years before live testing with 1,600 patients at the Cleveland Clinic. From there, the Google Health Beta Edition was released to the public in 2008.[3] The product allowed a user to create an account and enter their personal medical records (manually or automatically from hospitals, laboratories, and pharmacies that were Google Health partners).[5] During this time, there were fears over the safety and security of users’ stored health information; Google released a statement saying “no personal or medical information in your Google Health profile is used to customize your Google.com search results or used for advertising."[5]
Due to its lack of adoption and scalability, the electronic personal health records (PHR) platform closed its operations in 2012. Patients did not always receive dependable information as many users did not take the time needed to update the details of their healthcare records.[6] Google Health did not have strong relationships with big labs, so users were not able to access their test results within the platform; the key was to build strong partnerships with providers to be able to acquire patients.[6] This is something Google learned as it began to scale Project Nightingale.
Other Google Health Projects
In 2019, Google acquired wearable fitness device company Fitbit for $2.1 Billion giving it access to user data such as daily steps, heart rate, calories burned, and location. This has been an increasing trend for Google as it acquires new companies and information to continue conducting analyses with healthcare data.
Google also uses “emergent medical data."[7] Emergent medical data is health data analyzed by artificial intelligence from normal consumer behavior. Anytime a user interacts with technology, they leave behind a digital footprint of their behavior that can serve as raw materials for companies like Google to mine for emergent medical data.[7] Other companies mine for emergent medical data as well; a study found that Facebook analyzed social media posts of almost 1,000 Facebook users to discover that religious language such as “God” or “Lord” were strong indicators of diabetes.[7]
In 2019, Google patented a smart home device that mined emergent medical data from occupants’ behavior to conclude whether they were developing Alzheimer’s disease or substance use disorders.[7] While Project Nightingale takes on a massive amount of data, its opposers believe it is a piece to a larger puzzle that will help Google increase its personalization tactics.
Launching Project Nightingale
In 2018, the company attempted to re-launch its separate health division to consolidate the company’s health projects which spanned across web services, software, and AI-backed products. These projects consisted of topics such as Google Brain (focused on deep learning), Google Fit (focused on wearable fitness devices), and Project Nightingale.[4] However, it closed down its operations in 2021 as the company felt it was best to split up the combined healthcare strategy into other segments. These projects have continued to be worked on, just within the research division of Google as Project Nightingale is within Google Cloud.[4]
What Project Nightingale Uses and its Potential Benefits
Before partnering with Google, Ascension used 40 data centers in more than a dozen states. Project Nightingale uses lab results, doctor diagnoses, hospitalization records, and lots of other medical information to analyze patient data; the amount of data compares to a complete health history, such as patient names, family member addresses, and dates of birth.[3] This data is used with artificial intelligence and machine learning to create strategies that will improve patients’ treatment. These algorithms can help predict diseases a patient might have before a doctor has even diagnosed them; clinicians are able to make data-driven decisions that can save their patients’ lives.
A pathology report is a document that contains the diagnosis, which is determined by examining cells and tissues under a microscope; pathologists provide one of the most significant sources of diagnostic data for providers within the world of care delivery.[8] “70% of all decisions in healthcare are based on a pathology result and between 70-75% of all data in an electronic health record are from a pathology result” states Jeffrey Golden, MD, the Chair of the Department of Pathology at Brigham & Women’s Hospital.[8] Analytics on the data from artificial intelligence can drill down “to the pixel level” on extremely large digital images, which allow healthcare professionals to identify variations that the human eye cannot catch.[8] Golden states that these analytics can help providers get a more accurate diagnosis, and the sooner the correct diagnosis, the higher likelihood of a better outcome for the patient.[8] It is tools such as this that Project Nightingale is capable of producing that will become extremely beneficial to hospitals.
Project Nightingale is keeping up with the healthcare industry trends as artificial intelligence and automation is one of the biggest trends in the sector.[9] Real-time analytics are being used to expedite care as other organizations are also using up-to-date information to drive the treatment process. Healthcare workers have become frustrated with the manual aspect of paperwork and find it extremely helpful to have processes automated.[3]
Ethics of Project Nightingale
Misuse of Data Concerns
When the Wall Street Journal broke the news about the secret operation of Project Nightingale, doctors nor patients were not formally notified of the partnership between Google and Ascension.[10] In 2019, The Office for Civil Rights in the Department of Health and Human Services sought to learn more information about Project Nightingale’s data collection to ensure that HIPAA protections were fully implemented. Under the HIPAA Privacy Rule, hospitals are allowed to share data with business partners without telling patients as long as the information is used "only to help the covered entity carry out its health-care functions." [10] Experts state that Project Nightingale appears to be permissible under federal law as a spokeswoman stated the Ascension data would not be used to sell ads. [10] However Kirsten Ostherr, a co-founder and the director of the Medical Futures Lab at Rice University, states that “it is widely agreed that HIPAA is out of date."[11] It is also noted that searching for a dermatologist or stores that sell Plan B is not protected under HIPAA; these results are data that Google already tracks alongside users’ IP address and location.[11] Google already has access to millions of patient records through relationships with healthcare partners, such as the Mayo Clinic, the University of Chicago, and the Cleveland Clinic. What makes this project with Ascension different is the magnitude and scale of it.[7] United States Senators Amy Klobuchar and Lisa Murkowski proposed a law, the Protecting Personal Health Data Act, which addresses health privacy concerns by requiring the Secretary of Health and Human Services to publicize regulations for new health technologies such as health apps and wearable devices that are not regulated by existing laws. [7]
Ellen Wright Clayton, a professor of biomedical ethics at Vanderbilt University is worried that Project Nightingale will use the health data to perform independent research outside the direct scope of treatment for the patients.[10] An anonymous whistleblower from Google came out and stated that those on the project team did not necessarily know which artificial intelligence algorithms were being used as the data was being transferred from the hospital groups to Google. [12] When the report of the Project first came out, it had been claimed that over 100 Google employees had been able to access the data of patients tied to the Project. [2] While Google states it will not use the Ascension data outside the scope of the project, there is a difference between the data itself and the knowledge Google can get access to from analyzing the data; this gives Google the opportunity to apply this knowledge to other aspects of its business while technically still playing within the rules.[7] Those that oppose Project Nightingale speculate that Google will take the health data and identify new indicators of health that can be used to infer consumers’ medical conditions outside of the healthcare system.[7] From here, Google could use its Google Ads business to target different users; in 2019, the company expected $120 billion of its revenue to come from advertising (making up ~83% of its parent company’s total revenue).[13]
Security of Data Concerns
With all data privacy issues, patients and health care providers are worried about the protection of their information. In 2018, Google was the victim of a major data privacy offense in which five million Google+API users had their private data exposed. As the company stores massive amounts of personalized information, it leaves itself extremely vulnerable for more attacks. In 2021, one of the biggest cloud computing challenges for IT service providers was the security of data.[14] There are several situations that can stem from stolen health data: finding details about specific diseases & illnesses of a patient and long-term identity theft.[15] For example, a hacker can use information about one’s private sexually transmitted disease to coerce them into paying a lump sum of cash or doing what they tell them to do.[15] With long-term identity theft, unlike bank information, the health information of one does not change, so once the hacker has it, they have it forever. Brandon Reagin, a victim of stolen health data, states that his hacker had multiple medical procedures completed, which amounted to nearly $20,000 in hospital bills; this is something he has dealt with for over 15 years.[15] As it recognizes these concerns, Google has learned from the past and continues to strengthen its security protocols through its $10 billion investment in advancing cybersecurity over the next five years; it plans on expanding zero-trust programs, helping secure the software supply chain, and enhancing open-source security.[16]
Discrimination Concerns
As Google builds out algorithms in Project Nightingale, a concern is that they may discriminate against various communities of people. A term for this is “algorithmic bias,” which is defined as the application of an algorithm that compounds existing inequities in socioeconomic status, race, ethnic background, religion, gender, disability, or sexual orientation and amplifies inequities in health systems.[17] In the field of genetics, it is estimated that Caucasians make up almost 80% of collected data, and thus studies may be more applicable for that group than for other underrepresented groups.[17]
In 2019, a study published in Science concluded that an algorithm widely used in US hospitals was less likely to refer black people than white people (who were equally sick) to programs that aim to improve care for patients with complex medical records.[18] For researchers, a study like this is important because it is extremely hard to gain access to a large set of health data to run full tests; there have only been smaller studies conducted.[18] Scientists theorize that the reasoning for the lack of access to care is due to the effects of systemic racism, which ranges from doubt of the healthcare system to direct racial discrimination by healthcare providers.[18] This study shines a light on a major problem that worries patients who have their medical information tied with the Ascension data. In recent history, Google has been exposed in under-representing people of color in its image search.[19] This 2019 study shows there is the potential for inequality in the data resulting in unjust practices from the algorithms. As Project Nightingale is working with one of the largest healthcare providers in the country, these algorithms could have unintended effects if not addressed.
Competition
Google has a stronghold on the healthcare data segment. On May 26th, 2021, Google and HCA Healthcare, a national hospital chain, announced they are teaming up in a data sharing partnership.[20] This partnership will allow Google to gain more access to a host of patient records with real-time medical information. This comes as the company has a lot of knowledge with emergent medical data and Fitbit data. [20] Accessing medical records has given Google a major leg-up against its competitors who are trying to replicate the technology company’s work. Facebook does not use health data to make predictions, it uses user-generated content; with this lack of access, the accuracy of its health predictions are extremely variable. [20]
Microsoft
Microsoft had its own personal health record system called “HealthVault” which helped users store health data and fitness information in a centralized location. What happened with the original Google Health platform held true for HealthVault as well; it did not have enough adoption as it did not help users understand and address their health concerns and problems. What differentiates Google is the fact that now it has patient-acquired data, which can help it create innovative services and products. [21]
IBM
Other companies have or are starting to follow suit and use healthcare data to create artificial intelligence tools and services. In 2016, IBM bought Truven Health Analytics for $2.6 billion for their healthcare data of tens of millions of medical records and years of health insurance data. [22] This acquisition of Truven will help IBM find health cost savings, improve healthcare outcomes, fight fraud, and make operations more efficient. [22]
Small Company Partnerships
As there is a debate over the ethicalness of tech giants using healthcare data to create artificial intelligence algorithms (like Google, Facebook, Microsoft, and IBM), small companies have arisen to work with patient-acquired data. The Indiana University School of Medicine has partnered with a small Indianapolis-based company, LifeOmic, to create a cloud-based service that uses artificial intelligence to deliver insights to patients, providers, and clinical researchers. [21]
CloudMedx
There are also companies whose sole business model is to create predictive analyses for healthcare providers using the medical data. CloudMedx is a startup in California that uses disparate healthcare data and converts into actionable treatment for patients. [23] The founder of the company advocates for uses of data like this as his father almost died as a result of a misdiagnosis; he believes it is technology like CloudMedx (and Project Nightingale) that can shape the future of the healthcare industry and save more patients with faster and more accurate diagnoses.
Looking Ahead
As the world continues to increase its technological capabilities, humans’ lives will only continue to digitize more. While this is occurring, there are different perspectives on the extent to which this digitalization should influence and control lives. As with Project Nightingale and all of the Google Health initiatives, it comes down to the protection and use of data and whether it will benefit society. This is a concern that people like Clayton and Senators Klobuchar & Murkowski have for these types of projects; they speculate that Google’s main interest is to continue to increase the amount of data it has. This will help the technology company continue to strengthen its ad revenue business. However, the other side, such as people/groups like Ascension and Doctor Golden, believe that the AI-powered tools that Google can create from Project Nightingale can save lives and improve the healthcare system.
In a statement last year, a Google spokesperson stated that “Google deeply believes in the power of technology to improve health and wellness and we have increased our health investments across the company. Today, health is growing, and the Google Health name will continue to encompass our projects that share the common purpose to improve global health outcomes." [24]
References
- ↑ 1.0 1.1 Copeland, Rob. “Google's 'Project Nightingale' Gathers Personal Health Data on Millions of Americans.” The Wall Street Journal, 11 Nov. 2011, https://www.wsj.com/articles/google-s-secret-project-nightingale-gathers-personal-health-data-on-millions-of-americans-11573496790.
- ↑ 2.0 2.1 Lawmakers push again for info on google's 'project nightingale'. (2020, Mar 03). Dow Jones Institutional News Retrieved from https://proxy.lib.umich.edu/login?url=https://www.proquest.com/wire-feeds/lawmakers-push-again-info-on-googles-project/docview/2370268359/se-2?accountid=14667
- ↑ 3.0 3.1 3.2 3.3 3.4 Brandt, Richard, and Rich Rice. “Building a Better PHR Paradigm: Lessons from the Discontinuation of Google Health.” Health Policy and Technology, vol. 3, no. 3, 2014, pp. 200–207.
- ↑ 4.0 4.1 4.2 Tanne, Janice Hopkins. “Google launches free electronic health records service for patients.” BMJ (Clinical research ed.) vol. 336,7655 (2008)
- ↑ 5.0 5.1 “Google Health Is Dead. (But This Isn't the End of 'Google Health.').” Advisory Board, 24 Aug. 2021, https://www.advisory.com/daily-briefing/2021/08/24/google-health.
- ↑ 6.0 6.1 O'Mara, Morgan. “3 Reasons Why Google Health Failed.” Record Nations, 14 July 2021, https://www.recordnations.com/2015/11/3-reasons-why-google-health-failed/#:~:text=Lack%20of%20Provider%20Relationships,often%20get%20patients%20using%20PHRs.
- ↑ 7.0 7.1 7.2 7.3 7.4 7.5 7.6 7.7 Marks, Mason. “Everyone Is Asking the Wrong Question about Google's New Health Care Project.” Slate Magazine, Slate, 20 Nov. 2019, https://slate.com/technology/2019/11/google-ascension-project-nightingale-emergent-medical-data.html.
- ↑ 8.0 8.1 8.2 8.3 Bresnick, Jennifer. “Top 12 Ways Artificial Intelligence Will Impact Healthcare.” HealthITAnalytics, HealthITAnalytics, 25 Aug. 2020, https://healthitanalytics.com/news/top-12-ways-artificial-intelligence-will-impact-healthcare.
- ↑ Martin, Geoffrey. “Top 10 Emerging Trends in Health Care for 2021: The New Normal.” AHA Trustee Services, AHA Trustee Services, 14 Jan. 2022, https://trustees.aha.org/top-10-emerging-trends-health-care-2021-new-normal.
- ↑ 10.0 10.1 10.2 10.3 McDonnell, Peter J. "Perils of Project Nightingale: Google-Ascension deal ignites private data debate." Ophthalmology Times 44.20 (2019): 4. Business Insights: Essentials. Web.
- ↑ 11.0 11.1 Fussell, Sidney. “Google's Totally Creepy, Totally Legal Health-Data Harvesting.” The Atlantic, Atlantic Media Company, 15 Nov. 2019, https://www.theatlantic.com/technology/archive/2019/11/google-project-nightingale-all-your-health-data/601999/.
- ↑ “I'm the Google Whistleblower. the Medical Data of Millions of Americans Is at Risk | Anonymous.” The Guardian, Guardian News and Media, 14 Nov. 2019, https://www.theguardian.com/commentisfree/2019/nov/14/im-the-google-whistleblower-the-medical-data-of-millions-of-americans-is-at-risk.
- ↑ Wallace, Frankie. “Data Privacy & Google: What Are the Security Risks?” United States Cybersecurity Magazine, 17 Aug. 2020, https://www.uscybersecurity.net/data-privacy-google/.
- ↑ Patel, Rushi. “10 Major Cloud Computing Challenges to Face in 2022.” 10 Major Cloud Computing Challenges to Face in 2022, 1 Feb. 2022, https://www.mindinventory.com/blog/cloud-computing-challenges/.
- ↑ 15.0 15.1 15.2 Steger, Andrew. “What Happens to Stolen Healthcare Data?” Technology Solutions That Drive Healthcare, 8 Sept. 2021, https://healthtechmagazine.net/article/2019/10/what-happens-stolen-healthcare-data-perfcon.
- ↑ Walker, Kent. “Why We're Committing $10 Billion to Advance Cybersecurity.” Google, Google, 25 Aug. 2021, https://blog.google/technology/safety-security/why-were-committing-10-billion-to-advance-cybersecurity/.
- ↑ 17.0 17.1 Igoe, Katherine J. “Algorithmic Bias in Health Care Exacerbates Social Inequities - How to Prevent It.” Executive and Continuing Professional Education, 12 Mar. 2021, https://www.hsph.harvard.edu/ecpe/how-to-prevent-algorithmic-bias-in-health-care/.
- ↑ 18.0 18.1 18.2 Ledford, Heidi. “Millions of Black People Affected by Racial Bias in Health-Care Algorithms.” Nature News, Nature Publishing Group, 24 Oct. 2019, https://www.nature.com/articles/d41586-019-03228-6.
- ↑ Cohn, Jonathan. “Google's Algorithms Discriminate against Women and People of Colour.” The Conversation, 10 Aug. 2020, https://theconversation.com/googles-algorithms-discriminate-against-women-and-people-of-colour-112516.
- ↑ 20.0 20.1 20.2 Tom Kelly, IDX. “Google's Health Care Data-Sharing Partnership Is a Problem.” VentureBeat, VentureBeat, 20 June 2021, https://venturebeat.com/2021/06/20/googles-health-care-data-sharing-partnership-is-a-problem/.
- ↑ 21.0 21.1 Brown, Donald. “What the Failure of Microsoft's HealthVault Means for the Future of Ehrs.” Healthcare IT News, 22 Apr. 2019, https://hitconsultant.net/2019/04/19/what-the-failure-of-microsofts-healthvault-means-for-the-future-of-ehrs/.
- ↑ 22.0 22.1 “IBM to Acquire Truven Health Analytics for $2.6 Billion.” Reuters, Thomson Reuters, 18 Feb. 2016, https://www.reuters.com/article/us-truven-m-a-ibm/ibm-to-acquire-truven-health-analytics-for-2-6-billion-idUSKCN0VR1SS.
- ↑ CloudMedx, https://cloudmedxhealth.com/about/.
- ↑ Landi, Heather. “Google Says Health Projects Will Continue Even as It Unwinds Dedicated Health Division.” Fierce Healthcare, 23 Aug. 2021, https://www.fiercehealthcare.com/tech/google-dissolved-its-unified-health-division-what-s-next-for-its-health-tech-strategy.