The Impact of Clinical AI: Four Questions for Jvion

By Claire Thayer, September 10, 2020

Recently, Jvion participated in a Healthcare Web Summit webinar discussion of how clinical AI differs from traditional predictive analytics and explored ways in which AI can improve patient risk trajectories while having positive impact on revenue, and identified key steps to implement adoption across organizations.  We caught up with Dr. John Showalter, Chief Product Officer, Jvion on four key takeaways from the webinar:

1. Why clinical AI? What’s the difference to other AI approaches?

Dr. John Showalter: Clinical AI focuses on an understanding of an individual patient and is designed to augment the actions and decisions of a care team. By understanding the individual drivers of risk and best actions to help a patient, an individual plan can be developed. Other AI approaches attempted to automate actions/processes, diagnose problems, or determine risk with a blackbox. The understanding of why and what to do is unique to Jvion.

2. What are the main gaps in traditional analytics like risk stratification and predictive modeling that leave healthcare organizations exposed?

Dr. John Showalter: The main gaps are predicting with non-modifiable risk factors, limited accuracy in risk predictions, population based protocols to respond to risk, and identifying too many individuals at risk. Current cohorting approaches frequently identify so many patients at risk that it is impossible to intervene on all of them effectively, especially when the individual gets an all or nothing population based protocol as an intervention.

3. What are a few of most pressing reasons for clinicians and healthcare organizations like payers to consider data augmentation in today's environment?

Dr. John Showalter: A few are: financial risk due to COVID-19, deferred care due to COVID-19, the aging population, increasing amounts of value-based contracts, increases in uncompensated care, increased consumerism, reducing health disparities.

4. What are the key things an organization should consider to ensure successful implementation and adoption of AI technology?

Dr. John Showalter: A commitment to adapting to the new insights, willingness to change workflows, identifying and tracking value attainment, identifying a need they are committed to fixing, full/broad stakeholder engagement.

If you missed this informative webinar presentation, Addressing the Iron Triangle of Healthcare With Clinical AI: Protecting Revenue While Improving Health Outcomes, we invite you to watch the On-Demand webinar video, short webinar re-cap video, or read the full Executive Brief.