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Lessons, Message, and Recommendations from Latina Survivor of Cervical Cancer for Healthcare Teams and Providers [Health care disparities]

Annals of Family Medicine

Context: Most of the existing research in cervical cancer and healthcare systems is based on large scale quantitative data and primarily focuses on younger reproductive-age women. This approach emphasizes the utilization of stories to improve care, thereby supporting experience as evidence and informing decision-making in clinical settings.

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Understanding Barriers to Congenital Syphilis Prevention and Care Through Provider and Patient Perspectives [Infectious diseases (not respiratory tract)]

Annals of Family Medicine

Objective This study explores barriers to CS prevention and care by investigating perspectives from prenatal healthcare providers and mothers of diagnosed infants. Study Design and Analysis Interviews were conducted with prenatal healthcare providers and mothers in Chicago, IL.

Provider 130
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Interventions Between Providers and Patients with Limited English Proficiency to Improve Health-Related Outcomes [Systematic review, meta-analysis, or scoping review]

Annals of Family Medicine

diagnosis of a condition; biological markers; knowledge; attitude; quality of life and change in symptoms; individual or group behavior, skills; healthcare process and system outcomes). Intervention/Instrument Multiple interventions utilized, as specified in each study. Results Eighty-four studies fit inclusion criteria.

Provider 130
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Validation of an Administrative Knee Osteoarthritis Severity Index in a Veterans Health Affairs Cohort [Big data]

Annals of Family Medicine

The Osteoarthritis Severity Index (OASI) was developed to inform clinical trajectory of knee OA toward TKA and was previously created and validated in a nationally distributed, general population cohort of EHR data. However, it is unclear whether results would generalize to other healthcare populations. Final sample size was 435,731.

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The Healthcare Vision of ChatGPT-4o and Multimodal LLMs

The Medical Futurist

Large language models will soon find their way in to everyday clinical settings , simply because the global shortage of healthcare personnel is becoming dire and AI will lend a hand with tasks that do not require skilled medical professionals. Current medical AIs only process one type of data, for example, text or X-ray images.

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Creative Dissemination: Community-Engaged Mural to Disseminate the PORTRAIT Registry on Peripheral Arterial Disease [Cardiovascular disease]

Annals of Family Medicine

Public health initiatives, including community engagement projects, are vital for promoting early diagnosis and encouraging behaviors to combat PAD. We launched a targeted dissemination campaign to share registry results and promote PAD awareness.

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The Opportunity of Scarcity in Healthcare

33 Charts

For most of history, medical diagnosis came through a series of chaotic steps. Increasingly, diagnosis is being be reduced to simple transactions. Clean point-of-care testing based on molecular and marker diagnosis. And healthcare tech is no exception. Or, in many cases, just a guess.