Electronic Health Records (EHRs) - Meaningful Use
The Centers for Medicare & Medicaid Services today requested new and innovative ideas for reducing administrative burdens for health care providers and patients as part of its Patients over Paperwork initiative.
The AHA today shared with the Centers for Medicare & Medicaid Services a number of actions that the agency could take as part of its calendar year 2020 physician fee schedule proposed rule that would reduce the burden of clinical documentation.
AHA recommends CMS actions to reduce burden of clinical documentation.
Digital innovation may be a necessity for health care organizations, but it’s coming at a steep price. Modern Healthcare’s most recent Power Panel survey of top CEOs found that more than a third of the 26 responding CEOs said their organizations spent between $5 million and $19.9 million on digital…
The AHA released a detailed summary of the Centers for Medicare & Medicaid Services’ hospital inpatient prospective payment system proposed rule for fiscal year 2020.
Eligible hospitals and critical access hospitals that did not qualify as meaningful users of certified electronic health record technology for the 2019 Medicare Promoting Interoperability Program may apply for a hardship exception to avoid the associated payment penalty.
The Centers for Medicare & Medicaid Services April 23 issued its hospital inpatient prospective payment system (PPS) and long-term care hospital PPS proposed rule for fiscal year (FY) 2020.
More than 9 in 10 hospitals used their electronic health record data to inform clinical practice in 2017.
On March 4, the Centers for Medicare & Medicaid Services (CMS) and Office of the National Coordinator for Health Information Technology (ONC) published proposed rules that would promote patient access to health information in Medicare, Medicaid, the Children’s Health Insurance Program (CHIP),…
Google has applied for a wide-ranging patent for a deep learning system that aggregates electronic health record data into a timeline that can be used to predict potential adverse events.