Using artificial intelligence to improve revenue cycle operations
In God we trust; all others must bring data — W. Edwards Deming The ability to use the data aggregated throughout the revenue cycle is critical to proactive issue resolution, project prioritization, estimation of financial impact of revenue cycle initiatives and forecasting. However, data analysis at each stage of the revenue cycle is dependent on…
Using artificial intelligence to uncover social determinants of health
Natural language processing can help providers discover patients’ social needs from the vast amounts of unstructured data in electronic health records.
hfm Magazine: February 2019
The February 2019 edition of hfm explores people and culture in healthcare finance, focusing on performance improvement, academic-community relationships, and care delivery.
A CFO’s Guide to AI Strategy
As artificial intelligence is growing in popularity in the healthcare industry, hospitals and health systems are beginning to realize significant ROI from the technology.
Artificial Intelligence Offers Revenue Cycle Opportunities
Artificial intelligence streamlines interactions with patients and payers. Examples include real-time out-of-pocket patient estimates, and, to reduce denials, analysis of health plan documentation before claims are submitted.
Grant Thornton: Helping Organizations Embrace Robotic Process Automation
Two senior leaders at Grant Thornton talk about the advantages of robotic process automation to improve office efficiency, reduce costs, and mitigate risk.
Building Machine-Learning Algorithms that Reduce Hospitalizations and Costs
Researchers have developed software that reduces readmissions and hospitalizations by flagging patients for increased risk of medical emergencies based on EHR data.
The New Knowledge Matchmaker
The latest AI applications in health care offer clinical options by pairing the most relevant evidence to individual patients based on their clinical and life context.