Revenue Cycle Management
The AI-native model yields revenue cycle results that were unimaginable only a year ago, says athenahealth.
Profitability has decreased while bad debt and charity care continue to rise, says Kaufman Hall report.
Real-time interaction of disparate data exchange will reach across practices, hospitals, public health registries, payers, data aggregators and other EHR systems.
In the mid revenue cycle, AI makes more accurate and efficient decisions, ensuring hospitals get reimbursed the amount they’re owed, says William Chan, cofounder and CEO of Iodine Software.
Revenue cycle teams are able to resolve billing inquiries faster through an automated AI call center.
The ultimate goal is to streamline documentation and coding in the mid-revenue cycle.
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Gradually transitioning from cash to digital payments can help manage patient expectations.
Challenges include technology gaps, provider shortages and reliance on data, the paper finds.
The editors of Healthcare IT News, Healthcare Finance News and MobiHealthNews look at the big trends in AI, cybersecurity and reimbursement and the uncertainty of what to expect from a new administration.
