
@ShahidNShah
Health data is growing highly complex and multi-dimensional with every passing day. Therefore, data management is now more a necessity for any medical organization trying to mitigate burnout among physicians and other support staff than it ever has been.
Clinical Decision Support Systems (CDSS) can help make sense of healthcare data with the latest evidence, as well as suggest treatments tailored to each patient and furnish personalized care plans,
Machine learning (ML), a subset of AI, can be applied to complex data in order to predict patterns that the human eye could have missed and health outcomes in general.
With wearable technology, there is potential for a more progressive approach to one’s holistic wellbeing. Rather than reacting to the harmful effects of burnout once they begin causing problems, wearables can be used to take action right during the initial stages.
Continue reading at physicianspractice.com
There is one critical metric that is the key to unlocking a myriad of mission-critical problems plaguing the healthcare industry, the “referral-to-appointment” ratio, or RTA. A new concept to …
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