Researchers at the University of Illinois at Chicago have developed an algorithm capable of extracting data from patient electronic health records (EHRs) to show the difference in care provided by physicians and nurses. Findings were published online Feb. 9 in the International Journal of Medical Informatics.
At HIMSS 2018, Nuance Communications and Epic announced a partnership that will integrate Nuance's new artificial intelligence (AI)-powered virtual assistant platform into Epic’s electronic health record (EHR).
Researchers established a system of alerts based on electronic medical records to identify patients who qualify for cardiac rehabilitation at the Hospital of the University of Pennsylvania in Philadelphia. In just nine months, the program boosted referral rates from 12 percent to 75 percent.
Acuant will partner with Healthpac, a provider of medical billing and practice management software, to develop an integrated automatic identity information system to reduce wait times during patient intake.
Researchers at Massachusetts General Hospital and Harvard Medical School have developed a method of extracting symptom information from electronic health records (EHRs) to allow physicians to identify psychiatric disorders missed in traditional sources of clinical data. Findings were presented in Biological Psychiatry.
The American Academy of Family Physicians (AAFP) has written a letter to CMS and the Office of the National Coordinator for Health Information Technology (ONC) with recommendations to reduce clinician burden.
Researchers have used data collected from patient electronic health records (EHRs) to train a machine learning algorithm to predict the onset of hypertension in individuals in the next year, according to a study published in the Journal of Medical Internet Research.
Allscripts has certified Luma Health’s patient communication platform as a part of the Allscripts Developer Program, enabling Allscripts electronic health record (EHR) users to automate patient-provider communication with text-first action.
A natural language processing system that defines medical jargon for patients viewing electronic health record (EHR) notes through portals could improve care outcomes, according to a study published in Journal of Medical Internet Research.
Medical scribes in charge of electronic health record (EHR) documentation could reduce physician burnout and restore joy to practicing, according to a study published in the Journal of the American Board of Family Medicine.
Researchers have developed a natural language processing (NLP) system capable of measuring the quality of heart failure inpatient care by analyzing data collected from electronic health records (EHRs), according to a study published in JMIR Medical Informatics.
Choosing an electronic health record (EHR) vendor can determine a hospital's ability to improve performance based on meaningful use criteria, according to a study published in the Journal of Informatics in Health and Biomedicine.