Ordering and managing genomic testing in electronic health records significantly cut the time Penn Medicine clinicians spent doing it
Hospital admission is a worthwhile time to ask patients whether they usually have sufficient food at home, then connect them to community resources if necessary. That conclusion comes from a quality improvement project by Dr. Emily Gore, a recent graduate of the University of Rochester School of Medicine and Dentistry, and colleagues. They describe their project in The Journal for Healthcare Quality (JHQ), an official publication of the National Association for Healthcare Quality that is published in the Lippincott portfolio by Wolters Kluwer.
Ochsner Health, through its Precision Medicine Program, is the first in the nation to incorporate Epic’s Orders and Results Anywhere integration with its Genomics module.
Developers of electronic health records (EHR) should create or modify their products to ensure that health care organizations can meet safety recommendations of the Safety Assurance Factors for EHR Resilience (SAFER) Guides, according to researchers with The University of Texas Health Science Center at Houston (UTHealth) and Baylor College of Medicine.
Scientists at the Icahn School of Medicine at Mount Sinai described the creation of a new, automated, artificial intelligence-based algorithm that can learn to read patient data from electronic health records. In a side-by-side comparison, they showed that their method, called Phe2vec (FEE-to-vek), accurately identified patients with certain diseases as well as the traditional, “gold-standard” method, which requires much more manual labor to develop and perform
Patients who, perhaps unbeknownst to their health care providers, are in need of genetic testing for rare undiagnosed diseases can be identified en masse based on routine information in electronic health records (EHRs), a research team reported today in the journal Nature Medicine.
A new study from the University of Pennsylvania School of Nursing’s Center for Health Outcomes and Policy Research (CHOPR) has investigated associations between EHR usability and nurse job outcomes (burnout, job dissatisfaction, and intention to leave) and surgical patient outcomes (inpatient mortality and 30-day readmission).
Making doctors opt out from prescribing cardiac rehabilitation instead of opting in increased referrals by roughly 70 percent
Researchers used informatics to examine 5,000+ patient records and five years of data related to nursing skin assessments and hospital-acquired pressure injuries. The results underscore the importance of treating and monitoring irritated skin early and eliminating the cause as an important step to prevent pressure injuries.