01 Dec Health Data News Roundup: Empathy and Healthcare AI; Predictive AI Increasing; and Medicare Advantage Audit Final Rule

Welcome to the Health Data Weekly News Roundup from IMAT Solutions. As the power of data continues to grow in the healthcare arena, today’s care organizations need to be on the forefront of all news and trends to help ensure that their data analytics efforts deliver accountable and informed care. Each week, we will provide you with the actionable news you need to meet these goals.

Rise of Empathy and Healthcare AI?
Patients consistently rated the AI responses as more empathetic than human ones, suggesting that chatbots may help strengthen empathetic communication and support human machine collaboration in care settings, according to a new study published in Frontiers.

Use of Predictive AI in Hospitals is Growing
Predictive AI’s uses by hospitals are expanding with 61 percent of care organizations using it for simplifying or automating billing procedures, including predicting claims denials, according to Healthcare Brew.

HHS Appeals Decision That Struck Down Medicare Advantage Audit Final Rule
HHS is appealing a judgment that vacated CMS’ Medicare Advantage Risk Adjustment Data Validation program final rule, according to Becker’s Payer Issues.

Medicare Advantage Plans See Payments Rise with Chart Reviews
A KFF analysis shows that one in six Medicare Advantage enrollees undergoes a chart review, often leading to additional diagnoses that increase payments to plan sponsors, according to xtelligent Healthcare Payers.

Oracle Health Designated QHIN Under TEFCA Data Sharing Framework
Oracle Health has received Qualified Health Information Network status under the federal government’s health data sharing framework, according to Healthcare Dive.

Cigna Joins CMS Health Technology ‘Ecosystem’
Cigna is joining a handful of other payers in CMS’ health technology “ecosystem” with the goal of aligning on an interoperability framework for healthcare data and access, according to Becker’s Payer Issues.