How To Get Clinicians Onboard With Predictive Analytics?

Whether their skepticism is from a lack of interest or a lack of trust, it's possible – and valuable – to get clinicians enthusiastic about data-driven medicine, experts will show at HIMSS21.

Healthcare has higher barriers to adopting data science than other industries. State-of-the-art analytics solutions are already available, but few of them are in use by clinicians.

At University of Virginia Health System, health leaders worked to establish a culture of data-driven decision-making with clinicians, with data science guides clinicians in finding opportunities for improvement, designing and implementing interventions, and evaluating impacts.

Bommae Kim, senior data scientist at Hackensack Meridian Health – and until last year with UVA Health, also as a senior data scientist – said a key challenge to wider adoption is lack of interest.

"Due to their disinterest or ambivalence to data science, it may be difficult to find opportunities to work with clinicians to begin with," she said.

Kim, who along with Dr. Jonathan Michel, director of data science at University of Virginia Health, will speak on the topic next month at HIMSS21. She said a lack of trust and a lack of understanding are two other challenges to adoption of analytics solutions