How healthcare systems can become digital-health leaders
Health systems around the world clearly recognize the potential of digital health: over the past decade, they have invested heavily in national e-health programs. Yet most have delivered only modest returns when measured by higher care quality, greater efficiency, or better patient outcomes. And in some cases, e-health projects have been cancelled due to significant cost overruns and delays, such as the National Program for IT in the United Kingdom’s National Health Service (NHS).1 That’s because such ambitious information-technology initiatives—with a clear focus on IT support for clinical professionals—are typically beyond the core mission of healthcare systems, which also often struggle with legacy systems that impede data integration.
At the same time, the advent of smartphones, cloud computing, and global connectivity has created a universe of consumers accustomed to everything from checking bank balances, making purchases, and watching movies on mobile devices. Increasingly, those consumers wonder why health systems cannot provide similar service innovations. In that respect, digital-health companies would appear to be best positioned: innovation is in their DNA, they have attracted billions of dollars in venture capital, and they have the flexibility to design applications that cater directly to patient groups. Yet digital-health companies have been impeded by a lack of access to health data along with uncertainty about how to distribute the economic benefits generated by smartphone apps.
As system leaders struggle to unlock the full potential of technology in healthcare, they must answer the following three fundamental questions:
- Who should pay for digital-health applications and services?
- What evidence of effectiveness should be required to justify reimbursement?
- What conditions must be in place to provide start-ups that develop successful health applications with a sustainable business model?
We believe the solution is to promote collaboration among providers and digital-health companies by enabling the exchange of health data—a vital enabler of more efficient care delivery. To drive technology advancement and adoption, each national or federal health system should consider an open innovation platform that holds healthcare data (beginning with highly standardized claims records), and provides data access that is enabled for application programming interfaces as well as common technical IT services such as identity, access, or consent management. This platform would serve as the basis for an ecosystem of digital-health-services innovation by certified third parties and could be steered by the respective health system.
Such a data platform could revolutionize health-service use and delivery and also help health systems bend the cost curve.2 To pave the way for this development, stakeholders must address how benefits are distributed and keep four foundational principles in mind.
The potential impact of technology on healthcare systems
High-quality, sustainable healthcare depends on IT-enabled services and a digital platform, but healthcare systems are still unclear on where to focus investment, what technologies provide the greatest benefits for patients and healthcare providers, and the return on investment. In 2014, we did considerable research into the economic value of digital technologies in healthcare and found that implementing technologies such as patient self-services, using digital channels rather than direct physician interaction, or patient self-management solutions can produce net economic benefits of 7 to 11 percent of total healthcare spending. Over this past year, our work on the ground has confirmed this original analysis. However, after reviewing the evidence, including successful cases of IT implementation in the most advanced healthcare systems, we believe an even greater impact can be achieved through coordinated joint effort. This would involve the interconnection of all digital-health stakeholders through an open innovation platform.
This recommendation may seem radical given the failure of so many public e-health projects. Yet we believe it is the necessary precondition for the digital-health market to work. We also recognize that creating such an open innovation platform won’t be easy from either a technical or regulatory standpoint, and it will require close cooperation among a range of stakeholders. However, the potential benefits justify this effort. For example, the NHS England’s director of patients and information, Tim Kelsey, has said that investment in electronic health records, digital services, and data could save the NHS up to £13.7 billion out of a £127 billion forecasted healthcare budget by 2020–21, or as much as 10.8 percent of total healthcare spending.3
The promise of apps
Digital-health applications are mobile applications that enable people to track, manage, and improve their health, achieve wellness goals, and interact with their health system. Most are quite sophisticated technologically, easy to use, and smartly designed, creating a compelling user experience. Consumer demand for digital-health applications also appears to be strong: for example, our latest research has found that 70 percent of patients aged 18 to 65 would be interested in digitally monitoring their health data; another cross-country survey reveals that 71 percent of consumers are interested in quantifying their health and lifestyle behavior.4 The problem is that, to date, individual digital-health players have gone their own way in developing solutions. Numerous start-ups—7,600 worldwide, by one estimate, most supported by venture capital5 —have been developing smartphone apps, wearable devices, and other digital applications to better manage and measure health. Venture-capital firms invested $6.9 billion globally in digital health in 20146 and are set to spend at a similar level in 2015.
Who should pay?
Although the technology is available, most companies developing today’s digital-health applications lack proof that their apps produce a long-term improvement in user health that leads to economic benefits to health systems. The absence of such evidence complicates a fundamental question: who should pay for the applications?
One option would be to have users pay. This option may seem unreasonable in a world where many mobile apps are free or extremely inexpensive. But most inexpensive apps have “premium” versions that require users to pay considerably more to access the most desirable features. Yet many wearable devices are pricey, and asking users to pay more for applications could restrict the market to those willing and able to do so—a segment that may not include those users who would benefit most. Another option would be to provide the applications for free if users share data with the developer. This approach, however, raises privacy concerns and other data-sharing issues. Some successful examples include patients who share data with companies, making a conscious contribution to research and discovery of new life-saving treatments and drugs.
A third option would be to have health systems (or the payors within them) reimburse the digital-health services provided by the applications and make them available to appropriate patients. Although this approach is congruent with the philosophies underpinning most European health systems, it is viable only if developers can prove that their applications achieve the desired goals. Are enough patients willing to use the application—and continue to use it regularly? Even more important, does using the applications result in better health outcomes? To gain this proof, developers need the support of the very health systems demanding it. Health systems—not application developers—have the expertise to measure patients’ health status and changes over time. Without this information, developers will find it difficult, if not impossible, to get the evidence needed to justify their application’s cost.7
One solution could be to introduce a “value-based digital health” reimbursement model: since health systems hold the data needed to measure outcomes, why not use this information to measure the outcomes of digital-health services? If cost reductions or quality improvements can be found in the data, the benefits can be shared with the digital-health solution providers. This approach would resolve issues for both sides: digital-health service developers can create sustainable business models while payors avoid the risk of investing in innovations that don’t deliver tangible value.
- Oliver Campion-Awwad, Alexander Hayton, Leila Smith, and Mark Vuaran, The national programme for IT in the NHS: A case history, University of Cambridge, February 2014, cl.cam.ac.uk.
- Thomas Meek, “IT could save NHS £13.7bn a year: Kelsey,” Digital Health, June 18, 2015, digitalhealth.net.
- Thomas Meek, “NHS IT needs £8 billion – McKinsey,” Digital Health, November 12, 2015, digitalhealth.net.
- Living longer: Wellness and the Internet, Ericsson, March 2015, ericsson.com.
- “Digital health funding rankings – 2015 midyear report,” Startup Health Insights, 2015, startuphealth.com.
- Teresa Wang, et al., Digital health funding: 2015 year in review, Rock Health, December 2015, rockhealth.com.
- This is analogous to current practice in the pharmaceutical and medical-device industries. Companies must collaborate with health systems to conduct the clinical trials needed for approval of their products.