{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,12]],"date-time":"2026-09-12T06:09:01Z","timestamp":1789193341772,"version":"build-2803163510"},"reference-count":27,"publisher":"Georg Thieme Verlag KG","issue":"04","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Appl Clin Inform"],"published-print":{"date-parts":[[2026,8]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>Background Electronic health record (EHR) clinical decision support (CDS) systems generate excessive, non-contextual alerts, causing clinician desensitization with override rates exceeding 90%. This alert fatigue disrupts workflows, contributes to burnout, and creates patient safety risks. Traditional survey-based methods fail to capture real-time end-user feedback at scale.<\/jats:p>\n                  <jats:p>Objectives This study aimed to evaluate real-world CDS usability signals by analyzing physician discourse on X (formerly Twitter) and identify physician-perceived sociotechnical pain points to inform future, hypothesis-driven EHR optimization.<\/jats:p>\n                  <jats:p>Methods X was systematically searched in August 2025 using Grok 4 (2025-08 build) via an internal API (Application Programming Interface). The AI temperature was set to 0.7 for search generation to ensure a broad retrieval of relevant discourse, utilizing keywords including \u201cEHR alert fatigue,\u201d \u201cclinical decision support usability,\u201d \u201cEMR burnout,\u201d \u201coverride EHR,\u201d and \u201calert fatigue doctors,\u201d yielding 117 posts from 106 self-identified physicians after manual curation (spanning from 2016 to 2025). Only the first post per author was included in the final analysis of 106 posts. We applied Braun and Clarke\u2019s reflexive thematic analysis, with artificial intelligence (AI)-assisted coding verification. Sentiment classification was conducted as a secondary assessment.<\/jats:p>\n                  <jats:p>Results Six CDS usability failure domains were identified: Alert Overwhelm (38.7%, 95% confidence interval [CI]: 30.0\u201348.2%), Burnout and Fatigue (43.4%, 95% CI: 34.4\u201352.9%), Patient Safety Threats (9.4%, 95% CI: 5.2\u201316.5%), Regulatory and Billing Pressures (17.0%, 95% CI: 11.0\u201325.3%), Mitigation Strategies, including AI prioritization (36.8%, 95% CI: 28.2\u201346.3%), and Lack of Customization (7.5%, 95% CI: 3.9\u201314.2%). Sentiment was 76.4% (95% CI: 67.5\u201383.5%) negative. Co-occurrence analysis showed 50.0% of safety posts co-occurred with alert overwhelm, and 19.6% of burnout posts co-occurred with regulatory and billing pressures.<\/jats:p>\n                  <jats:p>Conclusion Physician discourse on X provides valuable, exploratory usability signals. The prevalence of alert overwhelm and burnout themes highlights recurring pain points in current EHR architectures, generating hypotheses for future user-centered CDS redesign such as tiered alerting, role-based routing, and alert deferral mechanisms.<\/jats:p>","DOI":"10.1055\/a-2945-3280","type":"journal-article","created":{"date-parts":[[2026,9,12]],"date-time":"2026-09-12T05:14:39Z","timestamp":1789190079000},"page":"781-788","source":"Crossref","is-referenced-by-count":0,"title":["Systemic Challenges in EHR Alert Design: A Thematic Analysis of Physician Discourse on X (Formerly Twitter)"],"prefix":"10.1055","volume":"17","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9928-1591","authenticated-orcid":false,"given":"Guy","family":"Vishnevsky","sequence":"additional","affiliation":[{"name":"Tel Aviv Sourasky Medical Center Ichilov, Tel Aviv District, Israel","place":["Tel Aviv-Yafo"],"department":["Department of Internal Medicine H"]},{"name":"Gray Faculty of Medical and Health Sciences, Tel Aviv University, Tel Aviv-Yafo, Israel","place":["Tel Aviv District"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2523-4850","authenticated-orcid":false,"given":"Jacob N.","family":"Ablin","sequence":"additional","affiliation":[{"name":"Tel Aviv Sourasky Medical Center Ichilov, Tel Aviv District, Israel","place":["Tel Aviv-Yafo"],"department":["Department of Internal Medicine H"]},{"name":"Gray Faculty of Medical and Health Sciences, Tel Aviv University, Tel Aviv-Yafo, Israel","place":["Tel Aviv District"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"194","published-online":{"date-parts":[[2026,9,11]]},"reference":[{"issue":"02","key":"ref1","doi-asserted-by":"crossref","first-page":"138","DOI":"10.1197\/jamia.M1809","article-title":"Overriding of drug safety alerts in computerized physician order entry","volume":"13","author":"H van der Sijs","year":"2006","journal-title":"J Am Med Inform 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