The application of artificial intelligence technologies to health care delivery, coding and population management may profoundly alter the manner in which clinicians and others interact with patients, and seek reimbursement. While on one hand, AI may promote better treatment decisions and streamline onerous coding and claims submission, there are risks associated with unintended bias that may be lurking in the algorithms. AI is trained on data. To the extent that data encodes historical bias, that bias may cause unintended errors when applied to new patients. This can result in ...
Much of the work of the Commonwealth Fund and others seems to presume that payors are a necessary intermediary and should be the entities doling out population prepayment (aka capitation before it was a nasty word). However, it need not work out that way – particularly with House Dems’ concern that Medicare Advantage was profiteering.
It would be a small step for the new public plan likely to be created to make “population prepayments” directly to integrated health systems particularly because the covered lives under such a plan are likely to have the benefit of public ...
Blog Editors
Recent Updates
- Breaking Down the Legal Challenges Surrounding State Licensure Restrictions for Telehealth Providers
- Interested in Opening a Medical Spa? Here’s What You Need to Know
- Podcast: Key Changes in Finalized Antitrust Merger Guidelines – Diagnosing Health Care
- FDA Releases Draft Guidance on New Dietary Ingredient Notification Master Files for Dietary Supplements
- Updated Requirements for Informed Consent: HHS Issues New Guidance on Sensitive Exams