Author

manuela

5 September 2022

Meaningful Healthcare Disruption has Become A Huge Challenge

Last week, GeekWire reported unexpected news: Amazon will be shutting down its Care initiative, according to an internal memo which indicates that it is not “the right long-term solution for [Amazon’s] enterprise customers.” Per the memo, Neil Lindsay, Amazon Health Services Senior Vice President, explains that “Although our enrolled members have loved many aspects of Amazon Care, it is not a complete enough offering for the large enterprise customers we have been targeting, and wasn’t going to work long-term…”

Undoubtedly, Amazon Care was revolutionary in concept and was poised to become one of the most beloved disruptors in healthcare. The company was aiming to not only streamline a massive virtual care offering, but also provide way for in-person clinical services. In addition, with Amazon’s recent acquisition of One Medical, healthcare pundits were excited to see the potential transformation that the company would effectuate in the industry. Now, with this surprising news of Amazon Care shutting down, these same pundits are asking the question—is healthcare really that hard to disrupt?

Notably, this is not Amazon’s first time changing course on one of its healthcare projects. In 2018, Amazon, Berkshire Hathaway, and JP Morgan Chase collaborated to form a new venture named Haven, with a goal of disrupting care. However, just 3 years after Haven was started, its respective leaders decided that it was time to disband the company, as tackling healthcare would likely require a different approach.
Indeed, if these three globally renowned companies were not able to successfully tackle issues in healthcare, what hope is left for other players? One central conundrum with healthcare that makes it so challenging to disrupt, especially in the United States, is how siloed it has become. Any innovator or policymaker that wants to create change has to deal with so many different angles, including insurance companies, pharmaceutical developers, private hospitals, public healthcare entities, private clinics, individual physicians and other clinicians, and ultimately and most importantly, patients.

Without a doubt, healthcare is a tough nut to crack. For example, over the last 5 years, innovators have pored over artificial intelligence with the hope that it can disrupt healthcare across a variety of subsectors, including care delivery, research, diagnostics, and even treatment plans. However, many healthcare enthusiasts are disappointed in AI’s lack of traction, as much work still needs to be done to perfect the technology and make it mainstream.
There have been some successful ventures, however. Digital health and the inculcation of technology within healthcare in general has definitely progressed significantly. I’ve written in the past about various aspects of healthcare innovation, including the use of augmented reality (AR), virtual reality (VR), and other advanced computing tools within the realm of care delivery. These aspects indeed seem like worthwhile endeavors in bettering care and patient outcomes.

Assuredly, healthcare has proven to be an extremely challenging industry to meaningfully disrupt. However, while many areas still require more work and investment to perfect, there are other aspects which have flourished and have truly improved patient care. Innovators and leaders must continue their efforts on this front without getting discouraged, as this will be the only way to ensure a better future ahead.

27 July 2022

It’s Finally Time For AI In Healthcare

Artificial intelligence (AI) has been the promise of healthcare for nearly a decade, but the industry has yet to adopt it widely. Applications of AI in arguably more difficult domains, such as search, language and image recognition, have seen massive success over the past decade. While neural net algorithms and compute power have improved dramatically, AI in healthcare is still lagging behind. The big reason these domains, and not healthcare, have been able to utilize AI tech is due to the internet’s ability to make massive amounts of data available. Now data access via internet technologies is finally happening in healthcare through secure channels.

Driven primarily through government regulation mandating standards for interpretability, healthcare is beginning to see data move through the same pipelines and formats as the rest of the Internet. Over the past five years, a mounting set of policies have pushed interoperability for the patient’s benefit. The 21st Century Cures Act Final Rule from the ONC was introduced to improve data access to provider and clinical data. For health insurance plans, the Interoperability and Patient Access rule covers financial and clinical data. Both of these require a new standard called FHIR (Fast Health Interoperable Resources), which spans the broadest set of data ever included in a single healthcare format. FHIR also utilizes consistent methods to transact that data via RESTful APIs and OAuth2, which much of the internet’s websites and apps use to share and secure information. These patient-directed improvements present a waterfall of downstream effects, which regulators understand, but the industry is yet to capitalize on fully.
By virtue of being a broad and open standard, FHIR is bringing many previously disconnected healthcare data types together—most notably claims and clinical data from insurance and doctors respectively. Although claims and clinical are not the full picture, they are two fundamental parts of a patient’s health that have historically been separate and the standard still allows for social determinants of health, sensor data and other wellness information. FHIR is also breaking barriers to create massive data sets, combining information from disparate providers and health insurance plans and enabling organizations to unify the fragmented views they have of patients today. In this new world, AI researchers can finally train on complete patient data sets, including financial and clinical data from all providers and health insurance plans the patient has interacted with.

Unified data begins to open up the possibility for more accurate AI models that have the ability to see that a patient discharged from one hospital was readmitted to another two months after switching health insurance plans. In addition to a better longitudinal view, the importance of financial claims and clinical data coming together is driven largely by the fact that, in the U.S., without vertically integrated payment and care systems, you need to know what you are getting for your dollar. Now, with more complete data spanning financial and clinical interactions, AI models will be able to tell a health plan or patient the actual quality or value to be expected when seeing doctor A for a procedure versus doctor B using data amassed from thousands of encounters.
Of course, you don’t need AI models to see benefits from this more informed world in healthcare. You could make improvements using traditional analytics approaches, but AI allows for the nuances in the data to precipitate. AI models can account for nonlinear interaction effects among thousands of variables, like those of medical coding terminology systems that categorize conditions, procedures and medications. AI can generalize to many types of problems without requiring an analyst to build specific models for risk, quality, cost, network leakage, etc. And finally, with sufficient data, they can perform much more accurately than traditional analytics.

The signs of successful neural-network-based AI models in healthcare are beginning to appear. This, however, is not happening within isolated entities. It’s largely emerging from data-sharing partnerships or through technology solutions that are building on FHIR and connecting claims and clinical data sets. There are a few organizations that have the potential to win AI in healthcare and bring the tech to the masses. Those are large hospital systems, health insurance plans and data platforms (including electronic health record companies, cloud providers and healthcare data platforms). Data from tens of millions of patients under management will be required, limiting the pool potential solutions to a few dozen.

In an effort to embrace AI, healthcare organizations must think about data first. The vast majority of AI is data engineering, governance and structure. Only a small portion of it is the actual analytics or the neural network model. Thinking data-first can be broken down into three core tenants: compute, connectivity and ontrol. Compute is all the infrastructure that enables you to interact with data deftly—to strucure it, house it and modify it. Connectivity to external payers or providers, internal analytics or other enterprise vendors allows healthcare systems to see beyond their own walls and truly amass more information than was possible alone. Finally, control ensures an organization can secure and govern access to data that is most sensitive. Together, these set a foundation for AI in healthcare that all organizations considering the technology should prioritize.

Both the risk and the reward are massive for those that become dominant AI companies in healthcare. Clearly, there is the risk of missing or overdiagnosing life-threatening ailments, where missteps can and already have led to death. But there is also the reward of beginning to automate and better solve a broad swath of problems in which we value direction of care from nurses, doctors and analysts in the hundreds of billions of dollars. Fundamentally, AI algorithms are able to learn from and act on more information than any individual human. Now in healthcare, we are finally starting to see that information become available in a secure and computable form.

20 July 2022

Healthcare leaders are optimistic about metaverse disruption, report says

The metaverse has significant potential to disrupt traditional healthcare delivery in the long term, according to a recent Accenture report. While it will likely take time for providers to begin building their own digital environments in the metaverse, healthcare leaders said they believe metaverse technologies will have a positive impact on healthcare.

The metaverse — a domain of the internet in which users immerse themselves in interactive digital environments — has significant potential to disrupt traditional healthcare delivery in the long term, according to a recent report from Accenture.

For the report, Accenture surveyed 391 healthcare executives across 10 countries. More than 80% of them said they believe the metaverse will have a positive effect on the healthcare industry.
The metaverse has two primary functions, according to Kaveh Safavi, senior managing director at Accenture Health. The first is the “Internet of Place,” which refers to spaces in the metaverse that will virtually transport users to almost any world they can imagine. Safavi said that this could one day allow people to easily interact with clinicians, peers and enterprises at a distance.

The second is Web3 or the “Internet of Ownership.” Web3 is an evolving term that the report used to describe the utilization of technologies like blockchain and tokenization to build a more distributed data layer into the internet, allowing data to be owned and validated by metaverse users. Healthcare organizations could shift part of their operations to the metaverse and maintain their own internal virtual environments, Safavi said. This will allow employees to work from anywhere and collaborate based on data that they can authenticate.

“The greatest value of the metaverse in healthcare will depend on the ways in which the ‘Internet of Place’ and the ‘Internet of Ownership’ converge with one another,” Safavi said. “In combination, the two have the power to eliminate the distrust, friction and fragmentation that patients and healthcare workers experience as they cross platforms, care settings and work environments.”

Safavi does not know when the future he described will become a reality, but he said there are practical ways in which he can foresee providers adopting the metaverse. For example, if a physician notices one of their patients is recovering slowly from a basic laparoscopic surgery, they can take their concern to the metaverse and watch a previous abdominal surgery this patient had. The physician can then show the patient the video when explaining that their slow healing time is the result of the scar tissue that formed during the previous surgery.
The patient can also continue to heal in the metaverse after their discharge. For example, their physical therapist can demonstrate exercises in an immersive setting, such as an environment simulating a beach, and they can fast forward to the future to show the patient how they will be moving in six week’s time.

If healthcare companies or health systems want to jump into the metaverse, Safavi said they must ensure they have the foundational social, mobile, analytics and cloud technologies to build a complete, interactive digital healthcare ecosystem. He also pointed out they must have the right data.

“This is not just about EMR data,” he said. “It’s the full spectrum of data that represents people, physical items and activity. Unfortunately, many healthcare organizations do not have a way to capture data about people and processes.”

Safavi acknowledged the exciting healthcare metaverse applications detailed in the report are unlikely to emerge soon, and a February Rock Health report said the same. It showed that while the metaverse’s integration into healthcare will take time, healthcare leaders are playing the long game and beginning to invest in metaverse technologies — investors funneled $198 million into U.S. startups using virtual or augmented reality for healthcare in 2021, up from $93 million in 2020.

14 July 2022

Fix It or Forget It

It’s not too late to reduce the threat of failure of the World Bank’s new pandemic preparedness fund.

On June 30, the board of directors of the World Bank approved a proposal for a new pandemic preparedness fund. This fund, enthusiastically backed by the United States is, in its current form, built to fail. Numerous groups, from the Africa Centres for Disease Control and Prevention to the World Health Organization’s Council on the Economics of Health For All to a range of seasoned activist groups and coalitions, have identified potentially lethal flaws in the blueprint, including a problematic approach to governance, a narrowly scoped list of implementing entities, and an absence of real strategy for ensuring equity, access, and impact. As it stands, this latest global health coffer, officially known as the Financial Intermediary Fund (FIF) for Pandemic Prevention, Preparedness and Response (PPR), seems destined to flounder, if not fail.

So far, the World Bank has merely paid lip service to widespread concerns that what this fund pays for and how it operates will be determined by the World Bank staff and a handful of “founding donors” (European Commission, Germany, Indonesia, Singapore, the United Kingdom, the United States, the Bill & Melinda Gates Foundation and the Wellcome Trust.) According to the World Bank, these founding donors will, in the coming weeks, make the “ultimate decisions” about the composition of the FIF’s governing board, decision-making processes, and the composition and responsibility of the technical advisory board. The World Bank has said it intends to “capture the voices” of civil society and that it will explore how best to include low-income country governments, including the possibility that these governments might serve as “non-voting members” in order to avoid “conflicts of interest.”

An approach that consolidates decision-making power in the hands of wealthy nations and philanthropies is egregious

An approach that consolidates decision-making power in the hands of a small group of predominantly wealthy nations and philanthropies is itself an egregious conflict of interest with agendas of health equity and pandemic response. It cannot be allowed to stand. The World Bank has promised “to work closely with donors and other partners” on the details of the FIF, which it plans to launch in the third quarter of 2022. This is the last possible moment to make changes to an outdated, neocolonial plan that has, so far, garnered pledges amounting to just over a tenth of the estimated $10 billion per year needed. If the governance of the FIF is not substantially altered, it is not worthy of more resources. The Joe Biden Administration has fought for the fund and lauded its approval; now it must act, promptly and publicly, to ensure that communities most impacted by pandemics drive decisions over the new fund’s strategies, structure and scope. The World Bank and the Biden Administration face a “fix it or forget it” moment: a last chance to redress the FIF’s flaws or move on to more promising initiatives before the mechanics of the World Bank’s retrogressive approach grind into motion.

A FIF is an account that receives and distributes donations according to specific purposes and goals. It is a funding instrument that seems, at first glance, uniquely suited to the task of paying for the global public good of improved pandemic preparedness. And there is no question that a global effort to marshal funds to support a shared agenda for building robust health and disease surveillance systems is needed.

There’s also ample evidence of what such an effort should look like. Decades of experience with pandemics including HIV, tuberculosis, malaria, Ebola, Zika and more offer extensive evidence about what does and does not works in financing, setting strategy for and achieving impact in global health. No single entity is perfect, but both the Global Fund to Fight AIDS, Tuberculosis and Malaria and the U.S. President’s Emergency Plan for AIDS Relief (PEPFAR) have shown the utility and feasibility of: robust leadership by those most impacted and at risk: low- and middle-income countries, marginalized communities, immunocompromised people, women, LGBTQ+ and others; flexible funding matched to community priorities, with encouragement and incentive for ambition and innovation based on the latest scientific evidence; and a governance structure that actively dismantles colonial dichotomies of donor and recipient, vulnerable and protected, and ensures that the new fund is additive, not competitive with other, existing initiatives. 

The broad outline of the FIF as presented in a World Bank concept note reviewed by the board prior to approval ignores every single one of these lessons. Aside from Indonesia, the founding donors are predominantly governments and philanthropies based in and representing the interests of high-income countries. The FIF preserves the power structures which perpetuate pandemics and grossly inequitable access to the vaccines, treatments and tests that can bring outbreaks and epidemics under control. Instead of departing from business as usual by immediately instituting a decision-making structure that dismantles donor-recipient dichotomies, the World Bank is doubling down on retrogressive practices.

Funds to prevent future pandemics should flow through mechanisms that are working right now

The governance structure must be inclusive, centering power in the hands of those most impacted by pandemics. Instead of capturing voices of civil society, the World Bank and the founding donors should ensure that civil society have equal voice as decision-making members on the governing board and are part of technical review panels. There is robust evidence that when civil society leads and sets strategy, impact and accountability improve. The FIF’s mission should, likewise, be expansive and responsive to country- and community-derived priorities for pandemic prevention and response. Right now, the FIF concept suggests financing a narrow array of “pandemic preparedness” activities, with a heavy focus on surveillance activities that may provide information for high-income countries but will not improve health outcomes for communities. 

The FIF should be designed explicitly to attract new funds and to ensure it does not rob Peter to pay Paul, by taking existing financial resources from other pandemic fights, such as HIV/AIDS. Instead, the World Bank Concept Note for this fund positions the FIF as a competitor—a means of maintaining resources that might be allocated to what it dubs “peace time” health concerns—a tone-deaf term considering the preventable, ongoing harms caused by raging pandemics of HIV, TB, antimicrobial resistance, malaria and more. 

Even as experts in development and health have enumerated these flaws, the United States has invested precious political capital in fundraising for the FIF, making it a centerpiece at both of its Global COVID Summits. According to individuals close to negotiations over the past several months, members of the Biden Administration have recently been pressuring governments to ante up funds and political support for this new, untested fund even as the United States prepares to host the replenishment funding conference for the Global Fund to Fight AIDS, Tuberculosis and Malaria–-a twenty-year old FIF with a proven track record in financing global COVID-19 emergency responses. 

Faced with a vast array of unmet needs on domestic and global COVID-19, and a mile-high pile of competing crises from a tragically incompetent response to a global monkeypox outbreak to gun control to the Supreme Court’s assault on bodily autonomy, the White House is putting its precious, limited energy and the unique heft of American endorsement behind a fund that will not avert future crises. This must change, now, while there is still time. 

Fundamental changes must be made to the FIF or any other mechanism that seeks to have real impact on people’s lives and the risk of future pandemics. First, the governance structure must put low- and middle-income country governments and civil society groups on equal footing with governments and donors from high-income countries in all decision making and governance.

Next, funds to prevent future pandemics should flow through mechanisms that are working right now, notably the Global Fund to Fight AIDS Tuberculosis and Malaria. The Global Fund should be at the head of the queue, before the World Bank’s own network of development banks. Yet the proposed, FIF will launch its investments through multilateral development banks (MDBs), the International Monetary Fund and UN agencies, and will only “consider” the Global Fund “once the FIF is launched.” Putting MDBs first in line to spend these funds, ignores the track record of failed health investments, including the disastrous Pandemic Emergency Financing Facility. Using entities and approaches that have failed in the past further erodes the trust of low- and middle-income countries who have repeatedly pushed for more accountability from the World Bank. 

In June, the World Bank succumbed to considerable pressure and agreed that the Global Fund and other entities such as Gavi, the vaccine alliance, could be considered eligible to receive FIF pledges, provided those potential recipients secured a waiver from the World Bank itself. But even that waiver would merely make the Global Fund eligible—it provides no assurance that the Global Fund would actually receive resources.  

The past two years of unprecedented crisis have yielded occasional examples of exceptional mobilization and action. But far more frequently, those charged with planning for the future dangerous disease threats are using the opportunity to advance agendas and approaches that pre-date COVID-19 and consolidate power in the hands of wealthy country decision-makers. These maneuvers happen in the fine print of institutional governance and behind closed doors in bureaucracies fond of acronyms and arcana. The White House could put the same energy it’s currently investing in forcing a flawed instrument across the finish line into fixing it. This would save lives and redeem the administration’s integrity.