Medical records - Strategic Insights Report

Machine learning

Multimodal Machine Learning for Predicting Perioperative Safety Indicators in Spinal Surgery

Researchers from the Albert Einstein College of Medicine have developed a novel machine learning architecture that integrates structured electronic health records (EHRs) with unstructured free-text inputs to predict perioperative safety indicators for spinal surgery patients. This preoperative multimodal model demonstrated superior performance in predicting extended length of stay, 90-day reoperation,

Medical records

Pediatricians Advised to Introduce Peanut-Containing Foods Early to Prevent Allergies

Researchers at the Ann & Robert H. Lurie Children's Hospital of Chicago conducted a randomized clinical trial, publishing their results in Pediatrics, which found that pediatricians who received targeted educational and clinical decision-support tools were significantly more likely to advise parents to introduce peanut-containing foods early. This approach

Medical records

AI Scribes May Improve Electronic Health Record Efficiency, Reduce Clinician Burnout

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

Physician-Led Electronic Health Record Partnership with AI Drives Accuracy and Efficiency in Hospital Course Summarization

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

Moyamoya Angiopathy Prevalence Varies Greatly Among Ethnic Groups in South Auckland

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

Personalized Medicine for Cancer Prevention: New Study Finds Electronic Health Records Crucial for Early Detection

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

Electronic Health Record Alert Improves Naloxone Coprescribing for Cancer Patients

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 records

System for Managing Electronic Medical Records and Medical Practices Developed

According to a patent application by Singh, Jeevan Jot, a system for managing electronic medical records and medical practices has been developed. This system aims to simplify and streamline the administrative tasks of physicians and clinics by providing a comprehensive electronic medical record management system. The system includes a communications

Medical records

Developing a Pressure Injury Predictive Indicator System for Data Mining

Researchers at Second Xiangya Hospital in Changsha, Hunan, China, have developed a predictive indicator system for hospital-acquired pressure injuries (PIs), a critical measurement of medical care quality. The study aimed to identify and automatically mine predictive indicators from electronic medical record systems. The research was funded by the National Natural

Natural language processing

Natural Language Processing System Improves Electronic Medical Records Quality

Current study results on Information Technology - Electronic Medical Records have shown that well-organised electronic health records are essential for high-quality patient care. However, electronic health records user interfaces can be cumbersome for entry of structured information, resulting in a majority of information being in free text rather than a

Trademarks

Hannover Ruck SE Trademark Application for "HR | REFLEX EXPRESS"

Hannover Ruck SE, a leading European primary insurer, has filed a trademark application for "HR | REFLEX EXPRESS", signaling a significant move towards digital transformation in the healthcare and insurance sectors. As part of this application, Hannover Ruck SE aims to expand its existing services, including medical software for

Natural language processing

Improving Classification of Myocardial Infarction with Machine Learning in a Diverse Population

Researchers at Harvard Medical School have made a significant breakthrough in the classification of myocardial infarction (heart attack) in diverse populations using machine learning algorithms. The study, published in the American Journal of Epidemiology, aimed to investigate the performance of machine learning (ML) phenotyping pipelines in classifying myocardial infarction in

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