Electronic records
A groundbreaking patent application by inventors Stephan Schwiebert and Velislava Petrova Yanchina has made available online, detailing a revolutionary method for extracting tables from unstructured documents. The application, filed on April 4, 2025, was posted on October 16, 2025. The inventors' work aims to tackle the long-standing challenge of
Electronic records
A groundbreaking patent application by inventors Stephan Schwiebert and Velislava Petrova Yanchina has made available online, detailing a revolutionary method for extracting tables from unstructured documents. The application, filed on April 4, 2025, was posted on October 16, 2025. The inventors' work aims to tackle the long-standing challenge of
Electronic records
Research from the University of Massachusetts Chan Medical School has developed and tested a novel machine learning approach to monitor the impact of computerized clinical decision support (CDS) tools on clinicians' electronic health record (EHR) activities. The approach leverages topic modeling, a latent-variable statistical machine learning method, to infer
Electronic records
Research from the University of Massachusetts Chan Medical School has developed and tested a novel machine learning approach to monitor the impact of computerized clinical decision support (CDS) tools on clinicians' electronic health record (EHR) activities. The approach leverages topic modeling, a latent-variable statistical machine learning method, to infer
Medical records
A groundbreaking study on personalized medicine for cancer prevention has been published, highlighting the importance of electronic health records (EHRs) in early detection. Researchers at Harvard College developed a prediction model using data from Mass General Brigham's EHR to identify high-risk individuals for non-small cell lung cancer (NSCLC)
Medical records
A recent study published in the Internal Medicine Journal has shed light on the demographic, imaging, and disease patterns of moyamoya angiopathy in South Auckland, New Zealand. The research, funded by the Maori Health Advisory Committee, aimed to determine the disease prevalence, age, sex, and ethnic distribution, management, and patient
Medical records
Physician-led partnerships with AI-driven electronic health record (EHR) systems have shown promise in improving the accuracy and efficiency of hospital course summarization. A recent study published in the Journal of the American Medical Association (JAMA) Network Open found that physicians were able to effectively partner with large language models (LLMs)
Medical records
A recent study conducted by researchers at the University of Chicago has found that the use of artificial intelligence (AI) scribes may significantly reduce the time spent interacting with electronic health records (EHRs), a contributing factor to clinician burnout. The study, published in the JAMA Network Open, analyzed data from
Medical records
Aurora, Colorado residents may recall the crucial role electronic health records (EHRs) play in patient care. A recent project in an outpatient medical oncology clinic in the Mountain West region of the US demonstrated the effectiveness of implementing EHR alerts to increase naloxone coprescribing rates for patients with cancer at
Medical research
New research suggests that nurse staffing decisions often rely on outdated or unreliable data, leading to potential patient harm and death. A recent study conducted by researchers at Thomas Jefferson University in Philadelphia, Pennsylvania, aimed to address this issue by developing an automated patient acuity tool for use in electronic
Medical research
Research conducted by Lauren Schiff and her team has shed light on the unequal distribution of electronic health record (EHR) messaging burden among primary care clinicians in the United States. The study, published in the Applied Clinical Informatics journal, found that female clinicians received significantly more patient-initiated medical advice request
Medical research
Data from a recent study has shed light on the potential for automated International Classification of Functioning, Disability and Health (ICF) coding in electronic health records. According to the research, a self-supervised learning algorithm demonstrated strong performance in generating ICF codes from free-text clinical notes, with a precision of 0.
