Skip to main content

The complex ethics of Google’s controversial Project Nightingale

The Conversation logo

A version of this article was originally published by The Conversation (CC BY-ND 4.0)

The US’s second-largest health system, Ascension, has agreed to allow the software behemoth Google access to tens of millions of patient records. The partnership, called Project Nightingale, aims to improve how information is used for patient care. Specifically, Ascension and Google are trying to build tools, including artificial intelligence and machine learning, “to make health records more useful, more accessible and more searchable” for doctors. Ascension did not announce the partnership: The Wall Street Journal first reported it.

Patients and doctors have raised privacy concerns about the plan. Lack of notice to doctors and consent from patients are the primary concerns. As a public health lawyer, I study the legal and ethical basis for using data to promote public health. Information can be used to identify health threats, understand how diseases spread and decide how to spend resources. But it’s more complicated than that.

The law deals with what can be done with data; this piece focuses on ethics, which asks what should be done.

Beyond Hippocrates

Big-data projects like this one should always be ethically scrutinised. However, data ethics debates are often narrowly focused on consent issues.

In fact, ethical determinations require balancing different, and sometimes competing, ethical principles. Sometimes it might be ethical to collect and use highly sensitive information without getting an individual’s consent.

Public health ethics are useful to evaluate activities that affect population health. A recent report by the World Health Organization (WHO) describes public health ethics with four principles:

  • Common good – Does the activity promote collective benefit?
  • Equity – Does the activity reduce the burdens or risks to health or opportunity?
  • Respect for persons – Does the activity support individual rights and interests?
  • Good governance – Does the activity have processes for public transparency and accountability?

Public health ethics is an appropriate framework for evaluating Project Nightingale, given its massive scale. But the current health care context is relevant.

The system and its struggles

For over a decade, scholars have argued that technological solutions are needed to address three major challenges to how the health system uses information.

First, the health system struggles to integrate new knowledge into patient care. New medical evidence takes 17 years to change clinical practice, on average. The breakneck pace of science challenges doctors to keep up, and applying modern medical knowledge requires doctors to consider more factors than is humanly possible.

Second, information is central to preventing many medical errors, the third leading cause of death in America. Communication problems, judgment errors and incorrect diagnosis or treatment decisions can have devastating consequences for patients.

Third, the system does not learn from care. For example, a doctor and patient might try several different medications before finding the right one. One medication might not help, another might cause awful side effects, and finding the best medication might take months or years. The health system does not learn from that care process. Individual providers will gain knowledge over a lifetime, but that knowledge is never aggregated or shared efficiently.

To help address these challenges, the Institute of Medicine in 2007 introduced a vision for a learning health system that would quickly learn from patient care and use that knowledge to improve future care. The concept is simple, but learning health systems require sophisticated information technology platforms capable of extracting knowledge from the existing evidence and millions of treatment records.

The benefits of Project Nightingale

Project Nightingale appears to align with the learning health system concept. Systematically improving health care is a clear common good. Although a learning health system requires sharing patient data, patients stand to benefit from improved health care. Reciprocal data sharing by patients for a collective benefit is a prototypical example of the “common good” principle in public health ethics.

Project Nightingale might also improve health equity. For example, minorities and pregnant women are underrepresented in research studies, raising concerns that some medical knowledge might not be well tailored to these patients. A learning health system would improve understanding of what treatments are effective and safe for these underrepresented populations.

For small-scale activities, respect for persons usually demands giving people an opportunity to make a free and informed decision to participate. However, for activities carried out at the scale of the whole population, it is possible to show respect for persons by engaging the public and inviting them into the decision-making process. It is not clear whether Ascension or Google involved the public or patients in Project Nightingale.

The downsides

Some patients have criticised Project Nightingale because it does not have an “opt-out” for patients who do not want their information shared.

However, opt-out systems raise ethical concerns, too. They permit free riders who will benefit from the knowledge gained from the participants. Second, knowledge from a learning health system could be biased if enough people opt out. If so, opting out could expose others to riskier health care.

Good governance is critical to support a “common good” activity that conflicts with some individual interests. Transparency and accountability are crucial to keep the parties honest and open to public scrutiny. They also empower people to demand government action against an activity that cannot be ethically justified. There is little, if any, reported evidence that Project Nightingale has sufficient transparency or accountability processes. This is likely to be the biggest ethical challenge to Project Nightingale.

Issues of consent

Some of the biggest concerns have been about consent. However, public health ethics do not always require consent. One recent WHO ethical guideline says:

“Individuals have an obligation to contribute … when reliable, valid, complete data sets are required and relevant protection is in place. Under these circumstances, informed consent is not ethically required.” The basic argument is that individuals have a moral obligation to contribute when there is low individual risk and high population benefit.

Currently, the public does not know enough about Project Nightingale to make definitive ethical judgments. However, public health ethics likely provides some support for what Google and Ascension are trying to do. The more critical ethical issue might turn on how Google and Ascension are doing it.

The Conversation

By Cason Schmit 

Cason Schmit is assistant professor of public health at Texas A&M University.

 

The post The complex ethics of Google’s controversial Project Nightingale appeared first on Silicon Republic.



Udimi - Buy Solo Ads from Silicon RepublicSilicon Republic https://ift.tt/2RlZuhZ
via IFTTT

Comments

Popular posts from this blog

9 VCs in Madrid and Barcelona discuss the COVID-19 era and look to the future

Spain’s startup ecosystem has two main hubs: Madrid and Barcelona. Most observers place Barcelona first and Madrid second, but the gap appears to close every year. Barcelona has benefitted from attracting expats in search of sun, beach and lifestyle who tend to produce more internationally minded startups. Madrid’s startups have predominantly been Spain or Latin America-focused, but have become increasingly international in nature. Although not part of this survey, we expect Valencia to join next year, as city authorities have been going all-out to attract entrepreneurs and investors. The overall Spanish ecosystem is generally less mature than those in the U.K., France, Sweden and Germany, but it has been improving at a fast clip. More recently, entrepreneurs in Spain have moved away from emulating success in pursuit of innovative technologies. Following the financial crisis, the Spanish government supported the creation of startups with the launch of FOND-ICO GLOBAL, a €1.5 billi

How to Stay Creative and Keep SEO in Mind

Information Technology Blog - - How to Stay Creative and Keep SEO in Mind - Information Technology Blog Search engine optimization (SEO) refers to customizing your website’s content to ensure that web browsers give your website a high SEO score. The sites with the highest SEO scores are featured on the search engine’s first page of search results for relevant searches.  71%  of the click-throughs happen with articles listed on the first page of results on the search engine. This means that if your website’s article is the second (or third, or fourth page), it’s less likely the search user will even see your article. You want your article to be ranking as close to the top of the first page of results as possible. In order to have a good SEO score your site’s content needs to feature keywords and relevant phrases. It must be optimized for easy navigation between pages. It also needs to be referenced via external links that drive traffic to your site. Incorporating all of these elem

Everything we know about HHS Protect, a secretive government project with Peter Thiel's Palantir that helps brief Trump's coronavirus task force

A secretive project at the US Department of Health and Human Services is working with technology companies to collect and analyze data related to the novel coronavirus .  Dubbed "HHS Protect," the effort tracks information from around the country about coronavirus case numbers, hospital capacity, and even supply chain issues.  HHS uses Palantir Technologies , a data firm cofounded by Peter Thiel, to distill that information for the White House coronavirus task force. Visit Business Insider's homepage for more stories . A secretive project at the US Department of Health and Human Services is working with technology companies to collect and analyze data related to the novel coronavirus.  Dubbed "HHS Protect," the effort includes roughly 2.5 billion pieces of data from healthcare providers, government officials, and labs around the country about coronavirus case numbers, hospital capacity, and even supply chain issues.  The goal is learn about the progress