UCSF – Latest News Feed
An examination of how the adoption of electronic health records (EHRs) affected the quality of hospital care between 2008 and 2013 found that mortality rates were initially higher among hospitals with more digital capabilities, but fell over time, as hospitals learned how to work with the technology and adopted new capabilities.
The study by researchers at UC San Francisco, the Harvard T. H. Chan School of Public Health and the University of Michigan, does not support the common viewpoint that EHRs are not improving clinical care, the researchers said, adding that their findings underscore the importance of allowing time for technology to prove its worth.
“In other industries, widespread digitization took a decade to realize improvements,” said UCSF’s Julia Adler-Milstein, PhD, an associate professor in the Department of Medicine and the Philip R. Lee Institute for Health Policy Studies, and senior author of the study, which is published July 9, 2018, in Health Affairs. “It’s a major transformation of the healthcare system to go from paper to digital. We are seeing those rewards, but it has taken time and work.”
Julia Adler-Milstein, PhD, studies communication between different EHR systems. Photo by Elisabeth FallAll hospitals did not see equal benefits from digitization, however, and the trend was driven mainly by smaller and non-teaching hospitals. The researchers hypothesized this was because the larger and teaching hospitals had ongoing efforts to improve hospital quality, and therefore had less room to improve with the adoption of health records. In contrast, for smaller and non-teaching hospitals, EHR adoption may have represented a large, highly visible quality improvement initiative that also prompted broader quality efforts.
The research team examined data from 3,249 hospitals across the country, measuring quality by looking at 30-day mortality rates for 15 common conditions for patients who were 65 years and older.
They selected a study timeframe beginning in 2008, because that is when national data was first …