Data-informed Decision Making in Healthcare
Sil Aarts E-Mail
Assistant professor at the Living Lab in Ageing and Long-term Care, Department of Health Services Research, Care and Public Health Research Institute (CAPHRI), Maastricht University, Maastricht, Netherlands
Research Keywords: Quality of care, nursing home science, technology in healthcare, data, statistics, R(stats), qualitative research
Data are invaluable to healthcare: the availability of increasing amounts of data offers new possibilities to support personalized healthcare. Healthcare organisations collect large amounts of data at client, employee, and organizational levels: e.g., data in electronic health records or data collected by digital techniques such as sensors or wearables, and qualitative data in the form of texts collected in, for example, multidisciplinary consultations. Hence, care organisations collect a wealth of data, thereby generating information. This data can be used to support shared decision-making, improving the quality of care for patients/clients and the quality of work for employees. The present special issue addresses the remarkable shift in the use of data in healthcare, where the use of data to make informed and shared decisions in care becomes vital. This special issue is focused on publishing the highest quality papers in areas associated with data, data science, and data-informed decision-making in healthcare. Papers involving the use of data and/or data science methods relevant to care, including care settings such as long-term care or family medicine, will be considered for publication.
Keywords: Data, data science, data-informed decision making, personalized health care