Digital health is the broad use of digital technologies, data, software, connected devices and information systems to support health, wellness and healthcare delivery. It includes everything from mobile health apps and electronic health records to telemedicine, wearables, remote patient monitoring, artificial intelligence and digital therapeutics. In other words, digital health is an umbrella term for technology used across the healthcare ecosystem.
The differentiation is very vital because a smartwatch, an AI diagnostic tool and a hospital EHR may look completely different, yet all can belong to the same digital health ecosystem.
|
Digital health area |
What it does |
|
Mobile health |
Uses smartphones and apps to support health |
|
Telehealth |
Delivers or supports healthcare remotely |
|
Wearables |
Collects health and activity data |
|
EHRs |
Stores and exchanges patient information |
|
Remote monitoring |
Tracks patients outside traditional facilities |
|
AI and machine learning |
Analyses data and supports decisions |
|
Digital therapeutics |
Uses software for evidence-based interventions |
|
Health IT |
Connects systems, information and workflows |
WHO’s global strategy has now been extended through 2027, and 129 countries had established national digital health strategies by May 2025. That tells us something important: this is no longer simply a collection of health apps. It is becoming part of how healthcare systems are designed and delivered.
What Does Digital Health Include?
Digital health includes mobile health, telehealth, electronic health records, wearable devices, remote patient monitoring, artificial intelligence, health information technology, digital medicine and digital therapeutics. The FDA similarly describes the field as spanning mHealth, health IT, wearables, telehealth, telemedicine, personalized medicine, AI and machine learning.
Mobile health (mHealth)
Mobile health uses smartphones, tablets and connected mobile services to support healthcare or wellness.
Examples include:
- Medication reminders
- Fitness and wellness tracking
- Symptom-monitoring apps
- Pregnancy apps
- Mobile clinical tools
- Patient education platforms
Not every health app is a medical device. That distinction becomes important when a product moves from general wellness into diagnosis or treatment.
Telehealth and telemedicine
Telehealth allows healthcare services to be delivered or supported remotely. Telemedicine is more specifically concerned with remote clinical care.
A video consultation with a doctor is therefore one form of digital healthcare, but digital healthcare extends far beyond video calls.
Wearable devices
Smartwatches, fitness trackers and medical wearables can collect information such as:
- Heart rate
- Activity
- Sleep
- Blood oxygen
- ECG readings
- Other physiological measurements
The important question is not simply whether a device collects data. It is what happens to that data afterwards.
Electronic health records
Electronic health records (EHRs) replace or supplement paper-based clinical records with digital information that can be stored, accessed and exchanged.
They are foundational health information technology because other digital systems often need access to reliable patient information.
Remote patient monitoring
Remote patient monitoring allows devices to collect information from patients outside a hospital or clinic and transmit relevant information to care teams.
This can be particularly useful when a condition requires repeated measurements rather than one isolated appointment.
Artificial intelligence and machine learning
AI can analyse large volumes of health information, identify patterns, support clinical decisions and automate certain workflows.
The FDA maintains a list of AI-enabled medical devices authorised for marketing in the U.S., illustrating how AI is moving from experimentation into regulated clinical products.
Digital therapeutics and digital medicine
These are more specialised categories. Digital therapeutics use software-based interventions intended to prevent, manage or treat particular conditions, while digital medicine can involve technologies that measure health or intervene in care.
That is why simply calling everything a “health app” can be misleading.
What are Examples of Digital Health?
Examples of digital health include smartwatches, telemedicine platforms, glucose monitoring systems, patient portals, EHRs, remote monitoring devices, AI-enabled medical software and medication apps.
|
Example |
How it is used |
|
Smartwatch |
Tracks selected health and activity metrics |
|
Telemedicine platform |
Enables remote clinical consultations |
|
Glucose monitoring system |
Measures and records glucose levels |
|
Patient portal |
Gives patients access to health information |
|
EHR |
Stores clinical records |
|
Remote monitoring device |
Sends patient data to care teams |
|
AI diagnostic software |
Helps analyse clinical information |
|
Medication app |
Supports reminders and adherence |
One of the biggest misunderstandings about digital health examples is assuming they all have the same level of clinical evidence.
They do not.
A wellness app reminding you to drink water is very different from software used to analyse medical images. Both can fall within the digital health ecosystem, but their intended uses, evidence requirements and regulatory considerations can be very different.
How Does Digital Health Work?
Digital health generally works through a 5-step data journey: collect, connect, store, analyse and act. The technology may differ, but this basic pattern appears repeatedly across modern healthcare systems.
1. Data is collected
Information may come from:
- Wearable sensors
- Mobile apps
- Medical devices
- EHRs
- Laboratory systems
- Patient questionnaires
- Clinician input
2. Data is transmitted
The information moves through networks, applications or connected healthcare systems.
3. Data is stored
It is stored in appropriate digital systems where authorised users or applications can access it.
4. Data is analysed
Healthcare professionals, software or AI systems can analyse the information.
5. Action is taken
The result may support:
- Monitoring
- Diagnosis
- Treatment
- Prevention
- Care coordination
- Population health management
Imagine a patient with a chronic condition using a connected monitoring device at home. The device records measurements, sends them to a healthcare platform, software identifies an unusual trend and the care team reviews it. The technology has not replaced the clinician. It has changed when and how useful information reaches the clinician.
That is the more interesting story behind digital health technology.
What are the Benefits of Digital Health?
The major digital health benefits include improved access, more continuous monitoring, earlier intervention, greater patient involvement, more personalised care and more efficient healthcare delivery. The FDA identifies improved access, reduced inefficiency and costs, increased quality and more personalised medicine among the potential benefits of digital health technologies.
- Better access to healthcare: Digital healthcare can make some services available to people who live far from healthcare facilities or have difficulty travelling.
- Earlier detection and intervention: Continuous or repeated data can reveal changes that may not be visible during a single appointment.
- Continuous health monitoring: Connected devices can provide information between visits rather than limiting care to occasional snapshots.
- More personalised care: Healthcare professionals can potentially use individual-level data to tailor decisions and interventions.
- Better chronic disease management: Monitoring on a regular basis combined with digital communication helps people who are managing long-term illness.
- Increased patient involvement: Patients can find out more, watch a few selected indicators, and actually take part in their own treatment to a greater extent.
- Healthcare is more efficient: The use of digital tools and platforms helps healthcare organizations reduce paperwork, and allows them to better share information.
WHO’s approach is broader than simply making healthcare faster. Its strategy emphasises equitable access, sustainability, interoperability and stronger health systems.
What are the Risks and Challenges of Digital Health?
We have to remember that the main digital health challenges are also related privacy cybersecurity poor data quality, algorithmic bias, problems with interoperability, unequal availability, digital literacy gaps and not only that but no clear accountability.
This is where the conversation needs to become less enthusiastic and more honest.
- Privacy and health data security: Health information is highly sensitive. A digital system therefore needs strong safeguards around who can access information, how it is stored and how it is shared.
- Cybersecurity: Connected healthcare systems create more potential points of attack.
- Digital exclusion: A digital solution is not automatically an inclusive solution. People may lack devices, connectivity, digital skills or the ability to use technology comfortably.
- Data quality: Bad information can produce bad conclusions. AI cannot magically turn incomplete or inaccurate data into reliable clinical evidence.
- Algorithmic bias: AI systems can reproduce or amplify biases present in their training data.
- Interoperability problems: Two systems may both be digital and still fail to communicate properly.
- Regulation and accountability: When technology influences a healthcare decision, someone still needs to be accountable for that decision.
WHO continues to emphasise governance, privacy, security, interoperability, workforce capacity and equity as important parts of successful digital health systems.
What is the Difference Between Digital Health, Telehealth and Telemedicine?
Digital health is the broadest category; telehealth is a wider form of remotely delivered or supported healthcare, while telemedicine specifically refers to remote clinical care. mHealth focuses on mobile technologies, while digital medicine and digital therapeutics describe more specific evidence-based uses of technology in healthcare.
|
Term |
Meaning |
|
Digital health |
Broad ecosystem of digital technologies used for health |
|
Telehealth |
Healthcare services and activities supported remotely |
|
Telemedicine |
Remote clinical care |
|
mHealth |
Health services using mobile technologies |
|
Digital medicine |
Evidence-based technology that measures or intervenes in health |
|
Digital therapeutics |
Software-based interventions intended to prevent, manage or treat conditions |
So, digital health vs telehealth is not really a competition between two technologies. Telehealth sits within the much larger digital health landscape.
How is Artificial Intelligence Used in Digital Health?
AI in digital health is used for medical image analysis, prediction, clinical decision support, patient monitoring, research, drug development and administrative automation. WHO notes that AI is already being applied across diagnosis, clinical care, drug development, disease surveillance, outbreak response and health-system management.
Common applications include:
- Medical diagnosis and image analysis
- Predictive analytics
- Patient monitoring
- Clinical decision support
- Drug discovery and research
- Documentation and workflow automation
- Personalised health support
But AI is not a magic layer that makes healthcare automatically better.
WHO’s guidance on AI for health stresses the importance of safety, ethics, equity, governance and human oversight.
What are the risks of AI in digital health?
The biggest concerns include biased data, privacy problems, limited transparency, inaccurate outputs and unclear accountability.
A useful rule is simple: the higher the clinical consequence, the stronger the need for evidence, oversight and accountability.
What is Interoperability in Digital Health?
Interoperability means that different healthcare systems can exchange and use health information accurately, securely and consistently. It matters because healthcare rarely happens inside one software system. A patient’s information may move between a hospital, laboratory, pharmacy, specialist and other services.
Think of it this way:
Patient → Hospital EHR → Laboratory → Pharmacy → Specialist
If each system stores information in isolation, the patient can end up carrying the burden of connecting the systems.
WHO specifically identifies interoperability and data sharing as important foundations for effective digital health systems.
Who Uses Digital Health?
Digital health is used by patients, caregivers, healthcare professionals, hospitals, researchers, governments, public health agencies and health technology companies.
That means the ecosystem is much bigger than consumer-facing digital health apps.
- Patients: access information and manage aspects of their care.
- Doctors and nurses: review information and use clinical tools.
- Hospitals: manage records, workflows and patient services.
- Researchers: analyse health data and develop new interventions.
- Public health agencies: monitor populations and disease patterns.
- Governments: build national digital infrastructure.
- Health technology companies: develop digital products and services.
The WHO reported in 2025 that 129 countries had national digital health strategies, showing how deeply the subject has moved into national health planning.
How Has Digital Health Evolved?
Digital health evolved from basic electronic recordkeeping and health IT into connected systems involving mobile devices, telemedicine, wearables, remote monitoring and AI.
The progression is relatively straightforward:
Early digitisation → Internet healthcare → Smartphones → Connected devices → AI and data-driven healthcare
The interesting change is not merely that technology became more sophisticated. Healthcare began generating vastly more data, creating the need for systems capable of connecting, interpreting and acting on it.
That is why today’s health technology conversation increasingly includes infrastructure, data standards and workforce capabilities rather than only apps.
What is the Future of Digital Health?
The future of digital health is likely to centre on connected healthcare systems, AI-assisted care, remote monitoring, interoperable records, personalised medicine, digital therapeutics, population health analytics and responsible use of health data.
Some of this future is already here.
WHO’s global strategy was extended through 2027, while work on the next 2028–2033 strategy has begun. Its current priorities include governance, interoperability, digital infrastructure, equitable access, AI, digital literacy and workforce capacity.
India is also part of this shift. WHO’s South-East Asia work specifically points to India’s Ayushman Bharat Digital Mission as an example of digital public infrastructure supporting scalable and interoperable healthcare.
The direction is therefore not simply toward more apps.
It is toward health systems that can use information better.
Frequently Asked Questions
What is digital health in simple words?
Digital health means using technology, software, connected devices and health data to improve healthcare, wellness and health-system delivery. It includes everything from mobile health apps and wearables to electronic records, telemedicine, remote monitoring and AI.
What are 5 examples of digital health?
Five common digital health examples are telemedicine platforms, electronic health records, smartwatches, remote patient monitoring devices and AI-enabled medical software.
What are the main types of digital health?
The main categories include mHealth, telehealth, telemedicine, EHRs, wearables, remote monitoring, AI, health IT, digital medicine and digital therapeutics.
Is telemedicine part of digital health?
Yes. Telemedicine is a specific form of digital health focused primarily on providing clinical care remotely.
What is the difference between digital health and telehealth?
Digital health is the broader field. Telehealth refers to healthcare services and activities delivered or supported remotely. Therefore, telehealth is one part of the wider digital health ecosystem.
How does digital health improve healthcare?
Digital health can improve access, monitoring, care coordination, patient engagement and efficiency. Its actual impact depends on factors such as evidence, implementation, interoperability, usability and equitable access.
What are the disadvantages of digital health?
Major disadvantages and risks include privacy concerns, cybersecurity threats, unequal access, poor data quality, interoperability problems, digital literacy barriers and potential algorithmic bias.
How is AI used in digital health?
AI can support medical image analysis, prediction, clinical decision support, monitoring, research, drug development and administrative workflows. Its use requires appropriate evidence, governance and human oversight.
Is digital health the same as digital medicine?
No. Digital medicine is a more specific category within digital health, generally involving evidence-based technologies used to measure or intervene in health.
Is digital health safe?
Digital health can be safe when technologies are appropriately designed, validated, regulated and implemented. Safety depends on the particular product and its intended use rather than the label “digital health” itself.
How does digital health protect patient data?
Protection depends on technical security, access controls, privacy policies, governance, applicable regulations and responsible data-sharing practices. No digital system should treat privacy as an afterthought.
Why is interoperability important in digital health?
Interoperability allows different healthcare systems to exchange and use information. Without it, data can become trapped in disconnected systems, creating additional work for healthcare professionals and patients.
Conclusion
The easiest way to understand digital health is to stop thinking about it as a single technology.
It is an ecosystem.
A smartwatch can collect information. An app can help a patient interpret it. A connected device can transmit it. An EHR can store clinical information. An AI system can identify patterns. A doctor can use the information to make a decision.
None of those pieces alone represents the whole picture.
And that, ultimately, is where the future of digital healthcare is heading. The real opportunity is not simply to put healthcare on a screen. It is to connect people, information, technology and healthcare professionals in ways that make care more accessible, useful, personalised and sustainable, without losing the human judgement that healthcare ultimately depends on. WHO’s current strategy makes the same broader point: digital transformation needs strong governance, interoperability, infrastructure, people and health-system integration, not technology for technology’s sake.
