Electronic Health Record News and Research

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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.
New digital decision-aiding tool to personalize choice of test for patients with chest pain

New digital decision-aiding tool to personalize choice of test for patients with chest pain

Algorithm interprets data from electronic medical records to diagnose kidney disease

Algorithm interprets data from electronic medical records to diagnose kidney disease

Study shows link between EHR usability and nurse burnout, surgical patient outcomes

Study shows link between EHR usability and nurse burnout, surgical patient outcomes

Policies designed to prevent opioid misuse may limit access to pain-relieving drugs

Policies designed to prevent opioid misuse may limit access to pain-relieving drugs

Breast cancer treatment can be safely reduced in women over the age of 70

Breast cancer treatment can be safely reduced in women over the age of 70

Machine learning algorithm predicts risk for suicide attempt

Machine learning algorithm predicts risk for suicide attempt

In-person rapid mortality review process sparked improvements in patient care

In-person rapid mortality review process sparked improvements in patient care

AI-mediated analysis of vaccinated patients affirms safety of SARS-CoV-2 vaccines

AI-mediated analysis of vaccinated patients affirms safety of SARS-CoV-2 vaccines

Study investigates characteristics of high utilizers for psychiatric hospital services

Study investigates characteristics of high utilizers for psychiatric hospital services

Novel tool guides evaluation of patients who develop COVID-19 symptoms

Novel tool guides evaluation of patients who develop COVID-19 symptoms

Machine learning can help improve predictions of mortality risk

Machine learning can help improve predictions of mortality risk

Scripps Research collaborates with Tempus to develop a predictive model of glucose responses

Scripps Research collaborates with Tempus to develop a predictive model of glucose responses

Delaying colonoscopy after an abnormal stool test can have major consequences

Delaying colonoscopy after an abnormal stool test can have major consequences

Researchers identify genetic risk factors contributing to pneumonia susceptibility and severity

Researchers identify genetic risk factors contributing to pneumonia susceptibility and severity

Sex disparity is not a risk factor for stroke mortality

Sex disparity is not a risk factor for stroke mortality

Study shows patients are more receptive to using mental health and wellness apps

Study shows patients are more receptive to using mental health and wellness apps

Analysis of timestamp data from EHRs provides useful insights on doctors' use of time

Analysis of timestamp data from EHRs provides useful insights on doctors' use of time

Huntsman Cancer Institute receives $3 million CDC grant to improve colorectal cancer screening

Huntsman Cancer Institute receives $3 million CDC grant to improve colorectal cancer screening

$2.5 million funding helps researchers to advance tools for predicting readmission in diabetic patients

$2.5 million funding helps researchers to advance tools for predicting readmission in diabetic patients

Black patients hospitalized with COVID-19 less likely to have severe illness, die compared to Whites

Black patients hospitalized with COVID-19 less likely to have severe illness, die compared to Whites

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