08 Jul Health Data News Roundup: ACA Risk Adjustment Worked; ONC TEFCA Comments; and Aetna and Precision Medicine
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.
ACA Risk Adjustment Worked as Intended in 2018, CMS Reports
CMS recently released a summary report of the Affordable Care Act (ACA) risk adjustment program for the 2018 benefit year, asserting in the report that the data proves the program acted as intended that year.
ONC Posts 100 Stakeholder Comments Guiding TEFCA Final Draft
ONC recently released over 100 comment letters from stakeholders offering input to inform the development of the federal agency’s Trusted Exchange Framework and Common Agreement (TEFCA.)
Precision Medicine Challenges Persist, Aetna Leads Response
Precision medicine has the potential to significantly improve health outcomes and save members and their payers, so Aetna is overcoming the major challenges associated with implementing the personalized medicine approach and bolstering its precision medicine efforts.
EHR-Generated Inbox Messages May Increase Physician Burnout
Algorithms built into EHR systems designed to generate inbox messages may be partly responsible for rising rates of physician burnout, according to a July Health Affairs study.
UnitedHealthcare Launches Hearing Healthcare Program
UnitedHealthcare (UHC) is launching a hearing healthcare program to combat hearing loss and improve access to quality, affordable hearing aids.
eHI Releases Guidelines for Social Determinants of Health Data
eHealth Initiative (eHI) recently released its “Guiding Principles for Ethical Use of Social Determinants of Health Data” to ensure that ethics and security remain a priority for social determinants of health data usage.
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