Digital Health and Health Technology Innovation

Digital health and health technology innovation covers the introduction of new digital tools - telemedicine, mobile and wearable devices, remote monitoring, and connected services - into health care, and the processes by which such innovations are developed, evaluated, adopted, and scaled. Telemedicine, the delivery of health services at a distance using telecommunications, is a defining and rapidly expanded example.

Definition

Digital health is the use of information and communication technologies - including telemedicine, mobile and wearable devices, and remote monitoring - to support health and health care; health technology innovation is the process of developing, evaluating, adopting, and scaling such tools within health systems.

Scope

This topic covers the main categories of digital health technology, the distinctive challenges of evaluating and scaling them, and the factors that determine whether innovations are adopted or abandoned. It is framed as a reference on the concepts and evidence around digital health, not as a recommendation to use any particular device, app, or service, and it contains no clinical advice.

Core questions

• What are the main categories of digital health technology?
• How is telemedicine delivered and when is it useful?
• Why is evaluating and scaling digital health innovations difficult?
• What determines whether a digital health innovation is adopted or abandoned?

Key concepts

• Telemedicine and telehealth
• Mobile health (mHealth)
• Wearable and remote monitoring devices
• Connected and remote care
• Technology evaluation
• Scale-up and sustainability
• Pilot-to-scale gap

Key theories

NASSS framework

A framework for understanding why digital health and care technologies are or are not adopted and sustained, examining complexity across the condition, technology, value proposition, adopters, organization, and wider system; widely used to explain the high failure rate of digital health pilots at scale.

Mechanisms

Digital health innovations deliver or support care through telecommunications and connected devices, ranging from synchronous video consultation to passive data capture by wearables and remote monitors. Innovation typically moves from development and pilot evaluation toward wider adoption, but many tools stall at the pilot stage because demonstrating value, fitting workflows, and sustaining use at scale are harder than building the technology. Frameworks in this area treat scale-up as multi-domain, and evidence suggests that devices such as wearables are more effective as facilitators within a supportive program than as standalone drivers of behavior change.

Clinical relevance

Digital health tools change where and how care can be delivered, with implications for access and continuity. This entry describes categories, evidence, and adoption challenges as reference material; it does not advise on the clinical use of any specific tool, and the suitability of a given technology for a particular patient is a matter for qualified clinicians.

Epidemiology

Telemedicine use expanded abruptly during the COVID-19 pandemic, when distancing requirements pushed many routine encounters to remote channels, illustrating how external shocks and policy can rapidly change adoption of an otherwise slowly diffusing technology.

Evidence & guidelines

Evidence is mixed and evolving, drawing on narrative reviews, evaluation frameworks, and program studies rather than a settled guideline base. Accounts of pandemic-era telemedicine, analyses of wearable devices, and scale-up frameworks together describe both the promise of digital health and the recurring difficulty of demonstrating value and sustaining it.

History

Telemedicine and other digital health tools developed over decades but long remained marginal to mainstream care, with many pilots failing to scale. The COVID-19 pandemic produced a sudden, large expansion of telemedicine, and broader interest in wearables, remote monitoring, and data-driven personalization - including precision-medicine initiatives - has kept health technology innovation prominent while underlining persistent questions about evidence and sustainability.

Debates

Why do so many digital health pilots fail to scale?

Numerous promising tools succeed in pilots but are abandoned when spread across organizations, because demonstrating value, integrating with workflows, and sustaining use are harder than the initial build; multi-domain frameworks attempt to explain and anticipate this.

Key figures

• Trisha Greenhalgh
• Judd Hollander
• Mitesh Patel
• Eric Topol

Seminal works

• greenhalgh-2017
• hollander-2020

Frequently asked questions

What is telemedicine?

Telemedicine is the delivery of health services - such as consultations, monitoring, or follow-up - at a distance using telecommunications technologies, allowing care to occur without the patient and clinician being in the same place.

Why do many digital health tools struggle despite working in trials?

Scaling a tool requires demonstrating value, integrating with workflows, and sustaining use across organizations, which is far harder than building the technology, so many promising pilots are eventually abandoned.