5 Must-Haves for Effective Analytics in Clinical Decision-Making
In healthcare, data is king. Clinicians rely on data to make informed decisions at the point-of-care and ultimately propel patients’ health forward. However, the wealth of unstructured data captured by IT systems in hospitals may prove fruitless if physicians can’t use it to inform care decisions in real time. Analytics must be straightforward, easily digestible and accessible to help physicians personalize and improve patient care planning.
Read More at Becker’s Health IT & CIO Review
Since 2014, the Healthcare Center of Excellence (HCOE) has been tracking the healthcare industry’s progress towards population health analytics using their proprietary Healthcare Transformation Change Model. This model was developed in 2013 to help healthcare organizations understand the requirements to become an analytics focused healthcare organization. The concepts were based on a customer relationship marketing (CRM) implementation model, previously co-developed by Professor Bennett. The CRM model was considered by Gartner to be one of the top three CRM implementation visions at the time and has become the basis for most successful CRM implementations today.
