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Validation of Mood and Anxiety Disorder Case Definitions using Primary Care Electronics Medical Records [Big data]

Annals of Family Medicine

Objective: To validate and apply electronic medical record (EMR)-based definitions for mood and anxiety disorders (inc. Results: Definition 11 captured anxiety, depression, and bi-polar diagnoses with sen 80.7, depression, anxiety, bipolar disorder), and schizophrenia. Study Design: Retrospective cross-sectional study. spec 88.7,

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Using technology to reclaim our time

Today's Hospitalist

The AI captures details in real time, ensuring that important information isn’t missed or forgotten, potentially improving billing accuracy and compliance. ” This will streamline information access and task execution, freeing up valuable time for direct patient care. J Am Med Inform Assoc. J Am Med Inform Assoc.

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Is a Medical Office Assistant Career Right for You?

Physicians Alliance of Connecticut

Relaying information between patients and providers. Knowledge of medical terminology: Understanding common abbreviations, diagnoses, and procedures helps you do your job effectively. Technical skills: Being comfortable with technology helps you learn to navigate electronic health records (EHRs).

Medical 52
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The Future Of Vision And Eye Care

The Medical Futurist

Compared to that, our hearing only processes 11 percent of information, while smell 3.5 It greatly helps physicians in remote areas such as Sub-Saharan Africa diagnose and treat patients. Harbisson received a specialised electronic eye, his “eyeborg” to be able to render perceived colours as sounds on the musical scale.

Diabetes 105
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Screening for Dementia: A Podcast with Anna Chodos, Joseph Gaugler and Soo Borson

GeriPal

And so certainly from a family’s perspective, a family caregiver perspective, the last thing we want to have when it comes to good dementia care is a diagnose and audio scenario, or in this case, some type of screening result, and then we’ll see you again in six months. It can’t be diagnosed and adios.

Screening 119
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Disparities in Post-COVID Conditions among Persons with Disabilities: Findings from Primary Care Patients, 2019-2022 [COVID-19]

Annals of Family Medicine

Objective: Compare the incidence of post-COVID conditions (PCC) by pre-pandemic diagnosed by the type of disability. Setting or Dataset: American Family Cohort, a data asset including electronic health records of 8 million patients from family practices across 50 US states. 95% CI 0.51, 0.7)

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Middle to Older Age Latinas Experiences Across the Cervical Cancer Continuum: Screening, Diagnosis, Treatment and Impact [Health care disparities]

Annals of Family Medicine

Participants were recruited via electronic healthcare records, community tabling events, and social media efforts. Cancer Prevention: Little to no awareness or information about cervical cancer. Only a few received stage 1 diagnoses. Verbatim transcripts in English and Spanish were analyzed in NVivo 14.

Diagnosis 130