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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 ...
The tools of health informatics and health information technology are continually improving to bring greater efficiency to information management in the health care sector. Health information management professionals plan information systems, develop health policy, and identify current and future
Health information technology (HIT) is "the application of information processing involving both computer hardware and software that deals with the storage, retrieval, sharing, and use of health care information, health data, and knowledge for communication and decision making". [8]
Digital health describes a patient-centric health care system in which patients manage their own health and wellness with new technologies that will gather and assess their data. [ 10 ] Data has become increasingly valuable in the 21st century and new economies have been shaped by who controls it [ 11 ] —health data and the health care ...
Health informatics / healthcare information systems: also often refer to software solutions for appointment scheduling, patient data management, work schedule management and other administrative tasks surrounding health. There can be integrated data collection platforms for devices and standards and require extended research.
The data management plan describes the activities to be conducted in the course of processing data. Key topics to cover include the SOPs to be followed, the clinical data management system (CDMS) to be used, description of data sources, data handling processes, data transfer formats and process, and quality control procedure
OMOP Common Data Model: model that defines how electronic health record data, medical billing data or other healthcare data from multiple institutions can be harmonized and queried in unified way. It is maintained by Observational Health Data Sciences and Informatics consortium.
The trend of large health companies merging allows for greater health data accessibility. Greater health data lays the groundwork for the implementation of AI algorithms. A large part of industry focus of implementation of AI in the healthcare sector is in the clinical decision support systems. As more data is collected, machine learning ...