HFMA
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HFMA
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Revenue cycle technology trends
The results of a September 2019 HFMA study about revenue cycle challenges and opportunities and how hospitals and health systems are addressing them.
Healthcare Cost Containment: October 2019
The October issue features articles on addressing the SDOH impact on readmissions, valuating the cost benefit of medical technology, reducing healthcare-associated infections and assessing clinical costs.
Healthcare Cost Containment: August 2019
Read the contents of the August issue of HFMA’s Healthcare Cost Containment newsletter. Access a PDF of the issue. Care process redesign Why behavioral health should be part of a holistic healthcare approach Jeremiah Reuter The dual risk of physician and mental health conditions often compound the cost of care. In fact, people with a…
Care coordination can reduce $89 billion behavioral health cost impact
Lack of access to mental health services results in patients with psychiatric service needs relying on ED visits, which can range from $1,198 to $2,264.
The 4 Cs of social determinants of health
Community resources and patient screening are important elements in an SDOH program.
Revenue Cycle Strategist October 2019
The October issue of Revenue Cycle Strategist features articles on medical debt, robotic process automation, consumerism, patient experience and denials management.
Consumer-oriented services necessary for healthcare providers to maintain patient loyalty
Convenience factors, including easy-to-use payment options, have a significant impact on patients’ loyalty to healthcare providers.
Information imperatives for successful payer-provider collaboration
A roundtable of payer and provider leaders examines the importance of transparent communication, relationship-building and robust data sharing amid the transition to value-based care.
3 abilities every coder should possess
Coders need to understand billing expectations, how the billing process works and how the revenue cycle is affected.
What exactly is robotic process automation?
Today’s robots can be governed by business logic, structured inputs and artificial intelligence to manage complex processes and apply decision-making abilities.