Decision Support

Dr. Jackie Gerhart, a physician at Epic, sat down at HIMSS22 to discuss the electronic health record's massive research database and how its findings can shape individual services. 

At HIMSS22, the CMIO of BayCare Health System will describe how its clinical and IT staff worked together to ensure care providers "received data exactly how they wanted it to appear" – and reduced prescriptions of controlled substances as a result.

The feature is geared toward offering clinicians a holistic view of the patient.

In a preview of his HIMSS22 session, Dr. Thomas Selva talks through his team's Davies Award-winning strategy to detect the life-threatening condition early.

"We succeeded by reframing the view of notes – from buckets of data to thoughtful synthesis that transforms information into knowledge and wisdom," said a clinical transformation leader who will explain more at HIMSS22.

David Klebonis, COO of Palm Beach Accountable Care Organization, will showcase machine learning models at HIMSS22 that can help drive appropriate hospice referrals and surface other important decision support criteria.

While RPA has proved its success for some administrative functions, other technologies are emerging as options to help address the worker shortage and reduce workload in clinical and operational areas.

Christian Wernz, senior data scientist at UVA Health System, will explain more about this approach to tracking social determinants and population health at HIMSS22.

Training artificial intelligence models on more diverse image and data sets can augment decision-making, overcome knowledge gaps, and promote greater health equity and outcomes, says one expert.

In a preview of his HIMSS22 session, the CEO of Tripleblind explains the value of private data – and describes how his company's technology enables datasets to be used for model training while complying with an array of privacy regulations.