Digital health is a discipline that includes digital care programs, technologies with health, healthcare, living, and society to enhance the efficiency of healthcare delivery and to make medicine more personalized and precise.[1][2][3][4] It uses information and communication technologies to facilitate understanding of health problems and challenges faced by people receiving medical treatment[4] and social prescribing in more personalised and precise ways. The definitions of digital health and its remits overlap in many ways with those of health and medical informatics.
Worldwide adoption of electronic medical records has been on the rise since 1990.[5] Digital health is a multi-disciplinary domain involving many stakeholders, including clinicians, researchers and scientists with a wide range of expertise in healthcare, engineering, social sciences, public health, health economics and data management.[6]
Digital health technologies include both hardware and software solutions and services, including telemedicine, wearable devices, augmented reality, and virtual reality.[7][8] Generally, digital health interconnects health systems to improve the use of computational technologies, smart devices, computational analysis techniques, and communication media to aid healthcare professionals and their patients manage illnesses and health risks, as well as promote health and wellbeing.[4][8]
Although digital health platforms enable rapid and inexpensive communications, critics warn against potential privacy violations of personal health data and the role digital health could play in increasing the health and digital divide between social majority and minority groups, possibly leading to mistrust and hesitancy to use digital health systems.[9][10][11]
^Walker, Mark (2023). Digital Health: How modern technology is changing medicine and healthcare. Sheffield, UK: Sicklebrook publishing. ISBN978-1446755969.
^O'Donoghue J, Herbert J (1 October 2012). "Data Management within mHealth Environments: Patient Sensors, Mobile Devices, and Databases". Journal of Data and Information Quality. 4 (1): 1–20. doi:10.1145/2378016.2378021. S2CID2318649.