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The Revenue Cycle Management Technology Adoption Model from HFMA and FinThrive generates insights and optimizes technology investments. Kim Waters, an RCM consultant at CereCore, offers a comprehensive look at the tool.

The new deep-learning model outperforms biomedical-imaging analysis in understanding disease progression, pediatrics researchers at Children's Hospital of Philadelphia say.

It features speech-to-text and an AI that identifies high-risk findings from slide images.

Approximately 10% of all U.S. healthcare workers will divert opioids or other controlled substances from their workplace at some point in their career.1 Drug diversion, or the illegal distribution or abuse of prescription drugs, remains a top challenge at hospitals and health systems across the country, and is often undiscovered and underreported.2

The CEO of a telehealth services provider explains why patients being seen remotely by physicians first can also help with accessibility, data integrity and consistency.

New data elements related to social drivers of health, such as referrals to social services, improve standards-based information exchange with electronic health records, it says. 

The tools have helped the health system grow demand for data-driven healthcare services, measure member attribution, and gain significant cost savings from identifying and acting on key healthcare utilization patterns.

A nurse remote patient monitoring expert explains why she's seeing more providers looking for new tools to help manage CHF – and how advancements in virtual care are allowing more patients to be cared for at home.

How is artificial intelligence being used to identify anomalies in sensitive healthcare data to safeguard patient information? What are best practices for enhancing cybersecurity through AI and ML? An expert answers those questions and others.

Samsung leaders discussed the importance and relevance of technological integration in healthcare.