Digital healthcare is the broad use of technology to deliver, manage, and improve health services. It covers everything from a video visit with your doctor to an AI system reading a chest X-ray to a wearable sensor tracking your heart rhythm after surgery. The term has become an umbrella for dozens of tools and systems that move healthcare beyond the walls of a clinic, and the field is growing fast: the global market for mobile health apps alone was valued at roughly $37.5 billion in 2024 and is projected to more than double by 2030.
What Falls Under Digital Healthcare
Digital healthcare is not a single technology. It’s a category that includes several overlapping areas, each serving a different purpose in how care is delivered or managed.
- Telehealth and telemedicine: Live video or audio visits between patients and clinicians, replacing or supplementing in-person appointments.
- Remote patient monitoring: Devices that track vital signs like blood pressure, blood sugar, or oxygen levels from home and send the data to a care team in real time.
- Mobile health apps: Smartphone applications for everything from medication reminders to mental health support to chronic disease management.
- Wearable devices: Fitness trackers, smartwatches, and medical-grade sensors that continuously collect health data.
- Electronic health records: Digital versions of your medical chart that allow different providers to access and share your information.
- AI-powered diagnostics: Software that analyzes medical images, lab results, or patient data to help clinicians detect disease earlier or more accurately.
The U.S. Food and Drug Administration organizes many of these tools into formal categories, including software classified as a medical device, wireless medical devices, and sensor-based digital health technology. That regulatory structure matters because it determines which products need clinical testing and government clearance before reaching patients.
How Widely It’s Used Today
Telehealth saw an enormous spike during the pandemic, and while usage dipped slightly afterward, it has settled at levels far above where it started. In 2024, 71.4% of physicians reported using telehealth weekly, compared to just 25.1% in 2018. The shift has been especially dramatic in mental health care: nearly 86% of psychiatrists reported conducting a video visit in the prior week, and about 68% used telehealth for more than a fifth of all their weekly appointments.
That said, telehealth still represents a small slice of total healthcare spending. Only 3.7% of telehealth-eligible physician spending was billed as a virtual visit in 2024. For most specialties, in-person care remains the default, with telehealth filling specific roles like follow-ups, medication management, and triage for minor concerns.
Remote Monitoring and Hospital Readmissions
One of the strongest cases for digital healthcare comes from remote patient monitoring after a hospital stay. Readmissions within 30 days of discharge are a persistent, costly problem, and monitoring patients at home has shown meaningful results. In one program published in The Permanente Journal, patients enrolled in remote monitoring had a 30-day readmission rate of 11%, compared to 41% among those who were not enrolled. That 30-percentage-point gap is striking. A broader systematic review of 90 studies found that remote monitoring reduced readmissions in about half of them.
These programs typically involve a connected blood pressure cuff, pulse oximeter, or weight scale that automatically sends readings to a nurse or care coordinator. If your numbers trend in the wrong direction, someone calls you before the situation escalates to an emergency room visit. For people managing heart failure, COPD, or recovery from surgery, this kind of early warning system can be the difference between a phone call and a rehospitalization.
AI in Medical Devices
Artificial intelligence is one of the fastest-growing corners of digital healthcare. As of December 2025, the FDA had authorized 1,357 AI-enabled medical devices. Most of these are used in radiology, where algorithms help detect tumors, fractures, or signs of stroke in imaging scans. Others assist in cardiology, pathology, and ophthalmology.
These tools don’t replace a doctor’s judgment. They flag potential findings, prioritize urgent cases, or provide a second opinion that the clinician can accept or override. The value is speed and consistency: an AI system doesn’t get fatigued at the end of a long shift, and it can process thousands of images in the time it takes a human to review a handful.
Digital Therapeutics: Software as Treatment
A newer category called digital therapeutics takes things a step further. These are software programs designed to treat a medical condition, not just track it. They go through clinical testing similar to a drug trial and require FDA clearance before they can be prescribed. Examples include app-based programs for substance use disorders, insomnia, and chronic pain that use techniques like cognitive behavioral therapy delivered through a smartphone.
The distinction from a regular wellness app is important. A meditation app you download from an app store doesn’t need clinical evidence or regulatory approval. A prescription digital therapeutic does. During the pandemic, the FDA temporarily relaxed some of these requirements for mental health products, but that policy expired in late 2023. Any new digital therapeutic now has to meet the full standard of safety and efficacy testing.
How Health Data Gets Shared
For digital healthcare to work well, different systems need to talk to each other. Your hospital’s records, your pharmacy’s database, your wearable device, and your primary care doctor’s software all hold pieces of your health picture. The standard that increasingly connects them is called FHIR (Fast Healthcare Interoperability Resources), a technical framework designed to let health data move quickly and securely between systems. It functions like a common language that different software platforms can use to exchange your clinical and administrative information.
Without this kind of interoperability, digital health tools become isolated silos. Your cardiologist might not see the blood pressure readings your home monitor sends to a different platform, or your new doctor might not have access to lab work ordered by your previous one. FHIR doesn’t solve every compatibility problem, but its widespread adoption has been a major step toward making digital health records actually useful across settings.
Privacy Protections for Your Data
Digital healthcare generates enormous amounts of personal information, and protecting that data is a real concern. In the United States, the primary legal framework is HIPAA, which sets national standards for how hospitals, insurers, and other covered entities handle your health information. HIPAA requires organizations to maintain administrative, technical, and physical safeguards to prevent unauthorized access to or disclosure of your records.
The catch is that HIPAA was written in 1996 and doesn’t automatically cover every digital health product. Many consumer wellness apps and wearable devices fall outside its scope because they aren’t operated by a traditional healthcare provider or insurer. That means data from your fitness tracker or a mental health chatbot may not have the same legal protections as data in your doctor’s electronic health record. In the European Union, the General Data Protection Regulation provides broader coverage for personal data, including health information collected by apps and devices, but enforcement varies.
The Digital Divide in Healthcare
Digital healthcare’s benefits depend on being able to access it, and that access is far from equal. Three barriers stand out: affordability, infrastructure, and digital literacy. People with lower incomes are less likely to own the devices and data plans needed for video visits or health apps. Rural and historically underserved communities often lack reliable broadband internet, a problem rooted in uneven infrastructure investment and, in some cases, what researchers describe as digital redlining.
Even when the technology is available, not everyone has the skills or comfort level to use it effectively. Older adults, people with limited English proficiency, and those with lower formal education may struggle with patient portals, app interfaces, or video call software. The World Health Organization has made equitable access a central part of its digital health strategy, but closing the gap requires more than building better apps. It requires addressing the economic and social conditions that keep people on the wrong side of the divide.
Regulation has also lagged on equity. The FDA does not currently require that digital health products be tested for cultural competence or linguistic accessibility, and digital therapeutics are not subject to the national standards designed to ensure equal access for racial, cultural, and language minority communities. That means a product can receive full regulatory clearance without ever being tested on the populations that may need it most.