Individual digital health devices are increasingly being bundled together as interacting, multicomponent suites, to deliver clinical services (e.g., teleconsultation and ‘hospital-at-home services’). In the first article of this two-article series we described the challenges in implementation and the current limitations in frameworks for the regulation, health technology assessment, and reimbursement of these device suites and linked novel care pathways. A flexible and fit-for-purpose evaluation framework that can analyze the strengths and weaknesses of digital technology suites is needed. In this second article we describe adaptations that could enable this new technological paradigm while maintaining patient safety and fair value.
The delivery of healthcare is evolving to incorporate digital health technology (DHT) with a rise in interacting systems of DHT suites, characterized by modularity, embedding, aggregation, adaptability, co-design, and rapid evolution. This ongoing transformation has led to a shift from conventional face-to-face patient-clinician interactions to telemedicine approaches that incorporate aspects of remote health care provider (HCP) management of patients, the greater use of wireless sensor technologies for measuring patient physiology, and the merging of these concepts through the inclusion of aspects of automation, machine decision making and even advice1. This entails the exchange of patient data, data and algorithm-driven practices, and distributed trust extending beyond traditional healthcare practices2. Our previous article3 in this two-article series, described how there is much enthusiasm for the potential of these suite-based workflows to positively transform care, alongside substantial challenges in their regulation, health technology assessment (HTA), and reimbursement. Frameworks are unsurprisingly playing catch up with these fast-evolving technologies. Some device suites are specifically developed for aggregated use. Increasingly, individually approved “standalone” DHTs, which may even have “standalone” HTA and reimbursement recommendations, can be brought together on an ad hoc basis. Understandably, current evaluation frameworks focus on individual DHTs rather than on integrated systems or bundles. The US Food and Drug Administration (FDA) commissioner Robert Califf directly acknowledged this in a February 2024 speech, saying “If you think about device development, like sensors, if you do it one at a time, you’ll never put a whole suite together into something that fits together in the [home] environment. [The FDA is] working on a strategy on how to create regulatory pathways to help make that happen”4.
A range of different types of DHT aggregations are possible for which differing regulatory and HTA considerations apply. Some of these suites are well established, and some exist more as concepts described in the literature rather than as approaches currently adopted in mainstream healthcare (Table 1). We describe the need for change in current frameworks, and describe approaches that could be applied for this relatively new phenomenon.
Regulatory considerations for aggregates of DHTs
It is rational that medical device regulation frameworks require developers to consider the interactions between their devices and other devices that they are planned to directly interact with5. In former eras, it is likely that the developer could anticipate all future uses and DHT interactions. Although this approach may have seemed logical and balanced at the time of writing the laws, the increasing networked interaction of DHTs now falls short in addressing the complexities of modern mobile communications systems. While we recognize that communication systems originated in low-risk environments compared to healthcare, to keep pace with advancing digital progress a cautious introduction of systems with safeguards to identify unintended consequences early on, could be necessary. This approach prioritizes dynamic monitoring and evidence generation over aversion to technology, promoting optimal and safe healthcare practices without advocating for a free-for-all system.
As highlighted in Table 1, it is highly challenging to define a taxonomy for suites of devices. There is need for understanding both from the manufacturer’s and regulator’s side to strike a balance that is proportionate to risk. In this complex environment, transparency is key and requires to be noted by both parties. Manufacturers have the responsibility to make data available and conduct trend reporting for real-world performance monitoring to ensure patient safety. The pandemic recognized the need for aggregation of individual DHTs into service bundles but without systematic and automated monitoring that can now be achieved. Flexible monitoring ideas, like integrated collection of feedback from system users (patients and HCPs), can support this effort1,6.
The need for a flexible way forward in HTA evaluation of DHT aggregates
Just as regulation needs to adopt a more flexible approach to governing interacting DHT systems, the same adaptability is necessary for HTA and reimbursement processes. There is currently no comprehensive assessment framework to evaluate DHTs in general, let alone modular DHT suites that function independently or in an aggregated system. Current DHT assessment approaches, which are based on care processes, could evolve to be system-based. For example, in Belgium, authorized digital health applications may receive reimbursement as part of a healthcare process, receiving a lump sum for treatment rather than individual reimbursements for specific actions7. This model can be applied to modular digital health tools, reimbursing them as part of a whole system instead of as individual components.
Another route to promote innovation in healthcare technology was adopted by Germany proposing the digital health application (DiGA) fast-track system that allowed temporary reimbursement, during a one-year evidence generation period, and this did achieve its aim8. There were also drawbacks—full reimbursement was provided to many DiGAs that later did not prove positive benefits9, but soon to be enforced rules on ongoing performance monitoring, bring promise of a fair balance of early reimbursement and promotion of innovation10. Our view is that the described model could be extended to the provisional approval of integrated DHT suites, allowing temporary approvals and partial reimbursement, while sharing risks with manufacturers until benefits are proven. To deliver safety, it would be essential to ensure that: (i) manufactures define an ‘envelope’ for the safe use of their device—which may not predict every device combination but delineates permissible use types, such as suitability for critical monitoring; and, (ii) the registration of new combinations and use cases as they are identified; and, (iii) the testing of new use cases and combinations promptly, automatically gathering feedback on use where possible1 and with the requirement for manufactures to risk assess and gather surveillance data.
Summary
We advocate for better recognition in regulations and HTA frameworks that DHTs can be aggregated into modular suites, expanding beyond discrete purposes. Here the individual device intended purposes may form a guide but should not be a barrier to use in wider, combinatory use cases. Why is this needed? Nations will get the digital care futures they legislate for, regulate for and choose through reimbursement decisions. To enable transformational benefit through new care paradigms that are possible through digital medicine, a first step is the acknowledgment and readiness for change. Under-cautious approaches could lead to unsafe technologies. Regulatory, HTA and reimbursement approaches based on traditional concepts of discrete DHTs, are unlikely to realize the comprehensive benefits of digital transformation. Countries adopting flexible approval, assessment, and payment frameworks, coupled with robust and intelligent oversight, are likely to achieve digitally transformed medical technologies suited to societal needs, reducing costs, environmental impact, and enhancing quality of care.
References
Welzel, C. et al. Holistic human-serving digitization of health care needs integrated automated system-level assessment tools. J. Med. Internet Res. 25, e50158 (2023).
Lavallee, D. C. et al. mHealth and patient generated health data: stakeholder perspectives on opportunities and barriers for transforming healthcare. mHealth 6, 8 (2020).
Mathias, R., McCulloch, P., Chalkidou, A. & Gilbert, S. Digital health technologies need regulation and reimbursement that enable flexible interactions and grou**s. NPJ Digit. Med. 7, 148 (2024).
RAPS. 2024. Califf: New systems needed for bringing rare disease treatments, at-home devices to market. Regulatory Affairs Professionals Society. https://www.raps.org/news-and-articles/news-articles/2024/2/califf-new-systems-needed-for-bringing-rare-diseas. https://www.raps.org/news-and-articles/news-articles/2024/2/califf-new-systems-needed-for-bringing-rare-diseas.
MDCG. MDCG 2023-24 - Guidance on MDSW intended to work in combination with hardware or hardware components. https://health.ec.europa.eu/document/download/b2c4e715-f2b4-4d24-af60-056b5d41a72e_en?filename=md_mdcg_2023-4_software_en.pdf.
Brönneke, J. B., Herr, A., Reif, S. & Stern, A. D. Dynamic HTA for digital health solutions: opportunities and challenges for patient-centered evaluation. Int. J. Technol. Assess. Health Care 39, e72 (2023).
Miguel, L. S.,Obyn, C., Vinck, I., de Meester, C., Jespers, V. & Pouppez, C. Evaluation of Digital Medical Technologies. Health Technology Assessment (HTA) Brussels: Belgian Health Care Knowledge Centre (KCE). KCE Reports 362s. D/2022/10.273/66. https://doi.org/10.57598/R362C (2022).
DiGA: How Germany Channeled Digital Health Apps Into Its Healthcare System. The Medical Futurist https://medicalfuturist.com/diga-how-germany-channeled-digital-health-apps-into-its-healthcare-system/ (2022).
Groene, N. & Schneck, L. Covering digital health applications in the public insurance system: how to foster innovation in patient care while mitigating financial risks-evidence from Germany. Front. Digit. Health 5, 1217479 (2023).
Gesetzentwurf der Bundesregierung - Entwurf eines Gesetzes zur Beschleunigung der Digitalisierung des Gesundheitswesens (Digital-Gesetz – DigiG).
Christodouleas, D. C., Kaur, B. & Chorti, P. From point-of-care testing to eHealth diagnostic devices (eDiagnostics). ACS Cent. Sci. 4, 1600–1616 (2018).
NHS England. 2022. Supporting information for integrated care system leads: enablers for success - virtual wards including hos. https://www.england.nhs.uk/wp-content/uploads/2022/04/B1382_supporting-information-for-integrated-care-system-leads_enablers-for-success_virtual-wards-including-hos.pdf.
Virtual Wards. BT Business. https://business.bt.com/public-sector/organisations/health/virtual-wards/. BT Business https://business.bt.com/corporate/products/enabling-your-business/virtual-wards/.
Demanuele, C. et al. Considerations for conducting bring your own “device” (BYOD) clinical studies. Digit. Biomark. 6, 47–60 (2022).
Acknowledgements
This work was supported by the European Commission under the Horizon Europe Program, as part of the projects CYMEDSEC (101094218) and ASSESS-DHT (101137347). UK participants in Horizon Europe Project ASSESS-DHT are supported by UKRI grant number 10106825 (National Institute for Health and Care Excellence). Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union, the United Kingdom, HaDEA or UKRI. Neither the European Union, the United Kingdom, nor the granting authorities can be held responsible for them. Responsibility for the information and views expressed therein lies entirely with the authors. We acknowledge the use of the ChatGPT language model (GPT-3.5, OpenAI, Inc., San Francisco, CA, USA) for providing assistance in refining some text of this paper.
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S.G. developed the concept of the manuscript. R.M. wrote the first draft of the manuscript. R.M., P.M., A.C. and S.G. contributed to the writing, interpretation of the content, and editing of the manuscript, revising it critically for important intellectual content. R.M., P.M., A.C. and S.G. had final approval of the completed version. R.M., P.M., A.C. and S.G. take accountability for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved.
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R.M. and P.M. declare no nonfinancial interests and no competing financial interests. S.G. declares a nonfinancial interest as an Advisory Group member of the EY-coordinated “Study on Regulatory Governance and Innovation in the field of Medical Devices” conducted on behalf of the DG SANTE of the European Commission. S.G.is the coordinator of a Bundesministerium für Bildung und Forschung (BMBF) project (Personal Mastery of Health & Wellness Data, PATH) on consent in health data sharing, financed through the European Union NextGenerationEU program). S.G. declares the following competing financial interests: he has or has had consulting relationships with Una Health GmbH, Lindus Health Ltd., Flo Ltd, Thymia Ltd., FORUM Institut für Management GmbH, High-Tech Gründerfonds Management GmbH, and Ada Health GmbH and holds share options in Ada Health GmbH. S.G. is a News and Views Editor for npj Digital Medicine. S.G. played no role in the internal review or decision to publish this News and Views article. Author A.C. is an employee of the National Institute for Health and Care Excellence (NICE) UK. The views expressed in this article are those of authors and not the views of NICE.
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Mathias, R., McCulloch, P., Chalkidou, A. et al. How can regulation and reimbursement better accommodate flexible suites of digital health technologies?. npj Digit. Med. 7, 170 (2024). https://doi.org/10.1038/s41746-024-01156-y
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DOI: https://doi.org/10.1038/s41746-024-01156-y
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