An Electronic Health Record (EHR) is a longitudinal electronic record of patient health information generated by one or more encounters in any care delivery setting. Included in this information are patient demographics, progress notes, problems, medications, vital signs, past medical history, immunizations, laboratory data, and radiology reports. The EHR automates and streamlines the clinician's workflow. The EHR has the ability to generate a complete record of a clinical patient encounter, as well as supporting other care-related activities directly or indirectly via interface—including evidence-based decision support, quality management, and outcomes reporting.
As part of a nationwide trend that occurred during the pandemic, many more of NYU Langone Health's patients started using electronic health record (EHR) tools to ask their doctors questions, refill prescriptions, and review test results. Many of these digital inquiries arrived via a communications tool called In Basket, which is built into NYU Langone's EHR system, EPIC.
A new study led by Michigan State University researchers shows a significant increase in telemedicine services offered by U.S. hospitals from 2017 to 2022, while also highlighting persistent barriers to its full implementation.
Tirzepatide leads to significantly greater weight loss than semaglutide in overweight or obese adults, with no significant difference in gastrointestinal adverse effects.
As a leader in innovative health solutions, George Mason University's College of Public Health received a National Institutes of Health (NIH) AIM-AHEAD program grant to pilot an artificial intelligence (AI) chatbot for Black and African Americans with depression.
For patients who are in the final stages of both gradual and sudden terminal illnesses, hospice care can provide safe, comfortable, and dignified care at the end of life.
A common algorithm to check for endometrial cancer is not reliable for Black women, according to a new study published today in JAMA Oncology.
Generative Artificial Intelligence (Gen AI) can rapidly and accurately screen patients for clinical trial eligibility, according to a new study from Mass General Brigham researchers. Such technology could make it faster and cheaper to evaluate new treatments and, ultimately, help bring successful ones to patients.
Opioids are a broad group of effective pain-relieving medicines that can become highly addictive in some individuals. According to government sources, nearly 40 million people are addicted to illicit drugs worldwide.
Using an advanced artificial intelligence tool, researchers at the Icahn School of Medicine at Mount Sinai have identified rare coding variants in 17 genes that shed light on the molecular basis of coronary artery disease (CAD), the leading cause of morbidity and mortality worldwide.
Supplemental oxygen is among the most widely prescribed therapies in the world, with an estimated 13 to 20 million patients worldwide requiring oxygen delivery by mechanical ventilation each year.
Researchers from The Possibilities Project and Clinical Futures at Children's Hospital of Philadelphia (CHOP) developed, implemented and successfully tested a nutrition screener to improve access to healthy resources for families eligible for federally funded food benefits.
A new study in EClinicalMedicine found that SARS-CoV-2 infection during pregnancy is linked to a lower risk of developing post-acute sequelae (PASC) compared to infection outside of pregnancy.
A lack of detailed record-keeping in clinics and emergency departments may be getting in the way of reducing the inappropriate use of antibiotics, a pair of new studies by a pair of University of Michigan physicians and their colleagues suggests.
Scientists have designed a new artificial intelligence model that emulates randomized clinical trials at determining the treatment options most effective at preventing stroke in people with heart disease.
Researchers say a machine learning tool can identify many patients with rare, undiagnosed diseases years earlier, potentially improving outcomes and reducing cost and morbidity. The findings, led by researchers at UCLA Health, are described in Science Translational Medicine.
A new study by investigators from Mass General Brigham demonstrates that large language models (LLMs), a type of generative AI, may help reduce physician workload and improve patient education when used to draft replies to patient messages.
The risk factor (RF) burden, clinical outcomes, and long-term survival among patients with atrial fibrillation (AF) under 65 years of age.
A recent study in eClinicalMedicine assesses whether individuals with diabetes are more susceptible to developing long COVID, analyzing a UK cohort to explore the prolonged impact of SARS-CoV-2 infection in this population.
Manisha Jhamb, M.D., launched the Kidney-CHAMP study five years ago because she saw a looming tsunami of chronic kidney disease cases. She was pulled to find a way to assist the primary care physicians upon whom this burden would fall.
As one of the first health systems in the country to pilot the use of generative artificial intelligence (GenAI) to draft replies to patient messages inside the Epic Systems electronic health record, UC San Diego Health is a pioneer in shaping the future of digital health.
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