By Greg Freeman
A survey of rehab therapy leaders from private practices, hospitals, and contract therapy organizations indicates that the known deficiencies in electronic health records (EHRs) may affect some specialties more than others.
Seventy-six percent of rehab therapy leaders are focused on optimizing EHR data analytics, the survey found. Ninety-four percent of respondents reported concerns over data security, a shortage of internal skills and resources, and difficulties integrating new systems with existing infrastructure.
The survey was conducted by Net Health, a software provider based in Pittsburgh. The January 2025 study reveals that, despite being central to clinical data management, many EHR platforms are inadequate in several critical areas, the company reports.
Many rehab therapy practices are turning to artificial intelligence (AI)-driven EHR platforms to address those challenges, says Francesca Vereb, senior vice president for marketing.
“Fifty-eight percent of survey participants have already implemented advanced, AI-powered EHR analytics, and an additional 15% are in the process of adopting these technologies,” Vereb says. “However, a significant gap remains, as 51% of respondents identified the lack of predictive analytics as a critical shortcoming in their current EHR systems.”
Source
- Francesca Vereb, Senior Vice President for Marketing, Net Health, Pittsburgh.
Greg Freeman has worked with Relias Media and its predecessor companies since 1989, moving from assistant staff writer to executive editor before becoming a freelance writer. He has been the editor of Healthcare Risk Management since 1992 and provides research and content for other Relias Media products. In addition to his work with Relias Media, Greg provides other freelance writing services and is the author of seven narrative nonfiction books on wartime experiences and other historical events.
A survey of rehab therapy leaders from private practices, hospitals, and contract therapy organizations indicates that the known deficiencies in electronic health records may affect some specialties more than others.
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