As health organisations take practical steps towards patient data and health record management, it becomes important to understand and account for two diverging ideals:
Ensuring data quality and facilitating efficiency while simultaneously protecting property, sovereignty, trust and security, seems to be the way forward. This webcast will provide leaders of healthcare organisations with valuable insights to prepare for the new patient data era, with insights into quantitative and quantitative studies into the future of patient data and consumer attitudes towards digital health.
Join the discussion on 28 August 3:00 PM CET / 2:00 PM GMT as we interpret the data and facilitate the diverging ideals discourse for you.
Electronic Health Records (EHRs) must provide a sound basis for effective digital health. Artificial intelligence, predictive analytics and population health management all depend on a structured foundation of accurate data which can then be processed to enable decision support – whether clinical or back-office. The HIMSS Annual European eHealth Survey indicates that EHR implementation is the single largest priority for 23% of the respondents.
Providers that want a comprehensive view of the patient need to establish electronic health record databases as a foundation for more complex EHR-driven services. That means building towards value-added functionality like health analytics and AI. Those that already have access to existing EHR databases might need to structure and optimise the data to enable effective data mining, extract greater efficiency and improve health outcomes.
Clinical Staff competency with EMRs is increasing, as is patient demand for electronic records, due to a shift in the number who are actively monitoring their own health.
Doctors and patients are now in overwhelming agreement that EMRs improve clinical outcomes. Clinical Staff competency with EHRs is increasing, as is patient demand for utilizing EHR for managing their health.