Here’s a sampling of the recent articles R1 revenue cycle experts are reading:
Chief Healthcare Executive
Looking at how hospitals will be using AI in 2025
Analysts from Vizient and Kaufman Hall looked at trends for health systems in 2025. In a new report, they projected some of the new strategies they’ll be pursuing in the coming year. Health systems may see more emphasis and gains on the “less glamorous” uses of AI to improve their operations, such as finding new efficiency and automating more functions.
Healthcare Finance
Denials top reason for eroding provider-payer relationship
A new report by the Healthcare Financial Management Association shows a deteriorating relationship between providers and payers. Nearly 60% of health system CFOs surveyed said their relationships with health plans have changed for the worse over the past three years. Eighty percent cited an “intentional or systematic effort” by payers to increase denials, according to the report.
Health IT Answers
Will AI help improve healthcare security in 2025?
The healthcare sector is particularly vulnerable to cybersecurity risks and the stakes for patient care and safety are particularly high. Healthcare facilities are attractive targets for cyber criminals in light of their size, technological dependence, sensitive data, and unique vulnerability to disruptions. R1 cybersecurity leader Cecil Pineda and others look at how AI can improve data security in 2025.
Physicians Practice
2025 Healthcare predictions: Part 1
Each new year brings a feeling of endless possibilities, and this is felt nowhere more than in the realm of healthcare which is seeing seismic shifts in technology and policy. Physicians Practice asked leaders from across the health care space to take out their crystal balls and see if they can give some insight into what awaits the industry in 2025. Hear what they said.
Modern Healthcare
Providers lean on AI startups to limit, challenge insurance denials
As more insurance companies use automation tools in coverage decisions, some providers and patients are turning to artificial intelligence to speed up their own approval-request processes.
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