Digital Health
Technology has changed how people communicate, work, shop, and manage their finances. It is also changing how patients receive healthcare. Telehealth and telemedicine use digital technologies to connect patients with healthcare professionals without requiring everyone to be in the same physical location.
A simple way to think about the difference is that telemedicine focuses primarily on remote clinical care, while telehealth describes the wider use of technology to support healthcare. Telehealth does not replace every in-person medical visit. Physical examinations, medical procedures, emergencies, and certain diagnostic services still require direct care. Instead, telehealth and telemedicine provide additional ways for healthcare organizations to connect patients with appropriate services.
Telemedicine generally refers to providing clinical medical services remotely. For example, a patient might have a video appointment with a doctor to discuss symptoms, receive follow-up care, review test results, or manage an ongoing condition. Secure messaging and remote monitoring technologies may also support the delivery of medical care. Telemedicine includes virtual doctor visits, online consultations with specialists, remote mental health counseling, prescription management, and follow-up appointments conducted through video or secure messaging. For example, a patient experiencing minor symptoms may speak with a physician through a video appointment to discuss treatment options without traveling to a medical office.
Telehealth is a broader term. It includes telemedicine but can also cover services such as health education, remote patient monitoring, communication between healthcare professionals, and other technology-enabled healthcare activities. Telehealth is a part of digital healthcare activities, including remote patient monitoring, health education programs, mobile health apps, patient portals, and communication between healthcare professionals. For example, a patient with high blood pressure might use a connected blood pressure monitor that sends readings to a healthcare provider, allowing the care team to track the patient’s condition remotely.
One of the biggest advantages of telehealth is accessibility. Virtual services can reduce travel time and make healthcare more convenient for people who live far from medical facilities, have transportation difficulties, or need routine follow-up appointments. Remote monitoring devices can also provide healthcare professionals with information such as blood pressure, heart rate, or blood glucose readings while patients remain at home.
As digital technology becomes more integrated into healthcare, telehealth is likely to remain an important part of how care is delivered. When used appropriately, it can make healthcare more convenient, connected, and accessible while giving patients and providers greater flexibility in how they interact.
Digital Health
Digital health is where healthcare and technology come together. It includes the digital tools that help people manage their health, allow healthcare professionals to provide care, and help organizations collect and understand medical information. Technologies such as artificial intelligence (AI), mobile health (mHealth), wearable devices, telehealth, electronic health records (EHRs), remote patient monitoring (RPM), cloud computing, and data analytics all fall under the digital health umbrella.
One of the most visible parts of digital health is telehealth and telemedicine. Telehealth allows patients and healthcare professionals to communicate without being in the same location. A patient might have a video consultation with a doctor, send a secure message, or receive follow-up care through an online platform. Telemedicine generally refers specifically to remote clinical care, while telehealth is a broader term that can include other health services. Together, these technologies have helped make virtual care a regular part of healthcare delivery.
Smartphones have also become important healthcare tools. Mobile health, or mHealth, includes apps that help people track medications, symptoms, nutrition, exercise, appointments, and chronic conditions. These applications can also support patient engagement by giving people easier access to health information and services. Some mobile apps connect directly with healthcare providers or medical devices, allowing information to move between patients and healthcare systems.
Another growing area is wearable technology. Smartwatches, fitness trackers, and specialized medical wearables use biosensors to collect information from the body. Depending on the device, this can include heart rate, movement, sleep, blood oxygen saturation (SpO2), or electrocardiogram (ECG) signals. Instead of measuring health only during an occasional doctor’s appointment, wearable devices can provide frequent or even continuous biometric and physiological data.
Wearables are closely connected with remote patient monitoring (RPM). With RPM, patients can use connected devices such as blood pressure monitors, pulse oximeters, weight scales, or glucose monitors at home. The information can then be transmitted to a healthcare platform for review. This creates patient-generated health data that can help healthcare professionals understand what is happening between appointments and potentially identify changes earlier.
Behind many of these technologies are electronic health records (EHRs). An EHR stores information such as diagnoses, medications, allergies, laboratory results, clinical notes, and treatment histories in digital form. A major challenge is making sure different healthcare systems can exchange and understand this information. This ability is called interoperability. Technical standards such as HL7 and FHIR (Fast Healthcare Interoperability Resources) help different applications and systems exchange healthcare data.
Artificial intelligence and machine learning add another layer to digital health. AI systems can process large amounts of healthcare information and look for useful patterns. Machine learning (ML) and deep learning can support areas such as medical imaging, risk prediction, patient monitoring, and clinical decision support. Natural language processing (NLP) can help software understand information contained in clinical notes or conversations. These technologies can assist healthcare professionals by organizing information, identifying patterns, and reducing some repetitive work.
Digital health can also deliver parts of treatment itself. Digital therapeutics (DTx) are software-based interventions designed to help prevent, manage, or treat particular health conditions. They can use apps, personalized programs, behavioral techniques, and patient data to provide structured interventions. This is different from a general wellness app because digital therapeutics are intended to deliver an evidence-based therapeutic intervention and may be subject to healthcare or medical-device regulations.
Connecting all of these devices creates what is often called the Internet of Medical Things (IoMT). IoMT is the healthcare-focused part of the broader Internet of Things (IoT). It includes medical devices, sensors, software, and networks that communicate with one another. For example, a sensor might collect a patient’s measurement and transmit it using Bluetooth or wireless connectivity to an application, which then sends the information to a healthcare platform.
Much of this information is stored and processed using cloud computing. Cloud infrastructure allows healthcare organizations and technology companies to run applications and manage large amounts of data without keeping every computing resource in one physical location. Application programming interfaces (APIs) can then help different applications communicate. Cloud platforms, APIs, databases, and interoperability standards form much of the technical infrastructure behind modern digital health products.
Collecting data is only one part of the process. Healthcare data analytics helps turn that information into something useful. Using big data, predictive analytics, clinical analytics, data visualization, and population health analytics, organizations can identify trends, measure outcomes, understand patient populations, and sometimes estimate future risks. This area overlaps with health informatics, which focuses more broadly on how health information is collected, managed, exchanged, and used.
As healthcare becomes more connected, cybersecurity and data privacy become increasingly important. Health information can be highly sensitive, so digital health systems need protections such as encryption, identity and access management (IAM), multi-factor authentication (MFA), access controls, audit logs, and data governance. In the United States, HIPAA is also an important part of the legal framework governing certain uses and disclosures of protected health information (PHI).
The easiest way to understand digital health is to see these technologies as parts of one connected ecosystem. Imagine someone wearing a health sensor. A biosensor collects physiological data, an IoMT connection transfers it to a cloud platform, and an AI algorithm analyzes the information. The results might be integrated into an EHR through a FHIR API, where a healthcare professional can review them. The patient and clinician might then discuss the results through a telehealth appointment. Throughout the process, cybersecurity technology helps protect the data.
This connected ecosystem is what makes digital health much more than healthcare apps. It brings together software, medical devices, AI, cloud infrastructure, connectivity, interoperability, cybersecurity, and health data. As these technologies continue to develop, they are changing how health information is collected, how patients interact with healthcare, and how professionals make decisions.
Digital health is ultimately about using technology and data to make healthcare more connected, accessible, informed, and efficient. Understanding the technologies behind it is an important first step toward understanding the future of healthcare.