Implications of integrating large language models into clinical decision making - Communications Medicine Christof & Armoundas explore how large language models (LLMs) can augment clinician-level clinical reasoning across the three pillars-framing the encounter, diagnostic reasoning, and treatment/management-highlighting gains in information synthesis and pattern recognition while underscoring limits that require continuous human judgment and oversight. They advocate a bias-aware, privacy-preserving, and rigorously validated “human-in-the-loop” deployment that safeguards patient agency and clinical accountability, while integrating LLMs into real-world workflows via clear clinician imperatives.

🚨 NEW PERSPECTIVE⚕️ 🩺

Christof and Armoundas discuss the potential of LLMs to provide clinician-level clinical reasoning using three defined pillars as a guideline.

http://dlvr.it/TRqqZD #ArtificialIntelligence #Healthcare #ClinicalReasoning

Location bias: the room shapes the differential.
If this patient presented elsewhere, would you think differently?

Part 5 (and the final!) in our Cognitive Bias series.

#Neurohospitalist #ClinicalReasoning #NeuroSky #MedSky

www.hackedexams.com/item/119335/...
TEST BANK For Critical Thinking Clinical Reasoning And Clinical Judgment 7th Edition By Rosalinda Alfaro Lefevre Complete Chapters 1 7
#TESTBANK #TESTBANK2025 #CriticalThinking #ClinicalReasoning #ClinicalJudgment #testbankexams #hackedexams

Consult question bias = treating the question, not the diagnosis.
Before changing therapy: is the neurologic diagnosis correct?

Part 2 in our Cognitive Bias series.

#Neurohospitalist #ClinicalReasoning #NeuroSky #MedSky

This new study evaluates the psychometric properties of scores from a large-scale pilot study to inform the utility of the objective structured clinical examination for #ClinicalReasoning as a formative #assessment in undergraduate #MedEd: https://bit.ly/3OyxasD #MedSky

Most diagnostic errors aren’t knowledge gaps. They’re framing errors.
Launching a 5-part series on cognitive bias in neurohospitalist consults.
First up: Occam’s Razor Bias. When does parsimony mislead?

#Neurohospitalist #ClinicalReasoning #NeuroSky #BrainSky #MedSky

🚨TWO NEW Podcast Episodes 🚨

1) #IDLove - a case of RED EYE 🦠👁️

🎧Listen here ➡️ clinicalproblemsolving.com/2026/02/17/r...

2) Spaced Learning Series —Edema & Eosinophils 🤔🧪

🎧Listen here ➡️ clinicalproblemsolving.com/2026/02/20/e...

#Medsky #MedEd #ClinicalReasoning #CPSolvers

I Human Week 9 Nur 2026 Case Study Bundle 2025 2026 Ace Your Pediatric Adult Strep Exams With Soap Notes Clinical Reasoning And NCLEX Style Qa
#IHuman #Ihumanweek9 #Nur #Nursing #NCLEX #ClinicalReasoning #IHumanweek9 #Pediatric #hackedexams

www.hackedexams.com/item/120589/...

TEST BANK For Critical Thinking Clinical Reasoning And Clinical Judgment 7th Edition By Rosalinda Alfaro Lefevre
#testbank #testbankforCriticalThinking #ClinicalReasoning #ClinicalJudgment #nursing #7thedition #hackedexams

www.hackedexams.com/item/120747/...

TEST BANK For Clinical Reasoning Cases In Nursing 7th Edition By Mariann M Harding Julie S Snyder
#testbank #ClinicalReasoning #CasesInNursing #nursing #7thedition #testbankforClinicalReasoningCasesInNursing #hackedexams

www.hackedexams.com/item/120787/...

Emt Exam Prep 2026 2027 Ultimate TEST BANK With Actual Questions And Expert Verified Answers
#testbank #testbankforAdvancedEmt #EMT #nursing #ClinicalReasoning #3rdedition #hackedexams

www.hackedexams.com/item/117071/...

TEST BANK For Advanced Emt A Clinical Reasoning Approach 3rd Edition By Melissa Alexander And Richard Belle Chapter 1 Ems Systems
#testbank #testbankforadvancedemt #EMT #nursing #ClinicalReasoning #Chapter1 #3rdedition #hackedexams

www.hackedexams.com/item/118139/...

Wonderful piece, @kamranabbasi.bsky.social 👌🏼

#clinicalreasoning #medsky

Is delayed onset enough to rule out iatrogenic nerve injury? This case challenges that assumption and shows how diagnostic framing altered care decisions.

Read more: www.cureus.com/articles/449...

#Cureus #Orthopedics #Neurology #ClinicalReasoning #MedSky

🚨New RLR Podcast Episode 🚨

Tune in as Rabih and Prof Reza discuss a case of a normal gap acidosis🧪🩺

🎧Listen here ➡️ clinicalproblemsolving.com/2026/01/05/e...

#Medsky #MedEd #ClinicalReasoning #CPSolvers

Assessment of Large Language Models in Clinical Reasoning: A Novel Benchmarking Study Large language models (LLMs) are increasingly deployed for clinical decision support, yet standard evaluations such as medical licensing exams overlook how clinicians update decisions in dynamic co...

Once more - here's a link to the #fulltext manuscript at @NEJM_AI cc'ing @adamrodmanmd.bsky.social & @liamgmccoy.bsky.social as authors of this interesting #clinicalreasoning benchmarking study:

ai.nejm.org/doi/full/10....

Deliberate solitude for clinical reasoning.
Durning, Steven J et al.
Paper
Details
#ClinicalReasoning #DeliberatePractice #MedicalEducation

Spend the holidays with us on VMR! 🎄🎅🏼✨

And join our #clinicalreasoning VMR on Tues, 23rd Dec at 11AM PST/2PM EST 🧑‍⚕️🩺

We hope to see you there! ➡️ clinicalproblemsolving.com/learn-live/

#MedSky #MedEd #CPSolvers

🚨New Schema Podcast Episode 🚨

Noah presents a fascinating case involving eosinophilia. Tune in as @madellenaconte.bsky.social , Mark, and @saklawimd.bsky.social work through the diagnostic puzzle.🧩🤔

🎧Listen here ➡️ clinicalproblemsolving.com/2025/12/11/s...

#Medsky #ClinicalReasoning #CPSolvers

Comparison of Physician Assistant and Medical Students' Clinical Reasoning Processes Using an Online Patient Simulation Tool to Support Clinical Reasoning (eCREST): Mixed Methods Study Background: Clinical reasoning is increasingly recognised as an important skill in the diagnosis of serious conditions. eCREST (electronic Clinical Reasoning Educational Simulation Tool), a clinical r...

Clinical Reasoning Across Professions
How do PA and Med students think through patient cases? 🤔

Our new study showed their clinical reasoning processes were more similar than different when using the eCREST simulation tool!

🔗JMIR Med. Educ: mededu.jmir.org/2025/1/e68981/
#ClinicalReasoning #MedEd

How do trainees learn to manage patients? @acadmedjournal.bsky.social Thanks so much to my collaborators and #PhDSky supervisory team #ClinicalReasoning #MedSky #MedEdSky #ClinEd #HPE #MedEd #AcademicSky academic.oup.com/academicmedi...

🚨TWO NEW Podcast Episodes 🚨

1) Spaced Learning Series - Subacute Inflammation

🎧Listen here ➡️ clinicalproblemsolving.com/2025/12/02/e...

2) RLR discuss a case of a Red Leg

🎧Listen here ➡️ clinicalproblemsolving.com/2025/12/02/e...

#Medsky #MedEd #ClinicalReasoning #CPSolvers

Teaching Clinical Reasoning in Health Care Professions Learners Using AI-Generated Script Concordance Tests: Mixed Methods Formative Evaluation Background: The integration of artificial intelligence (#AI) (AI) in medical education is evolving, offering new tools to enhance teaching and assessment. Among these, script concordance tests (SCT) are well suited to evaluate clinical reasoning in contexts of uncertainty. Traditionally, SCTs require expert panels for scoring and feedback, which can be resource intensive. Recent advances in generative AI, particularly large language models (LLM), suggest the possibility of replacing human experts with simulated ones, though this potential remains underexplored. Objective: This study aimed to evaluate whether LLMs can effectively simulate expert judgment in SCTs, by using generative AI to author, score, and provide feedback for SCTs in cardiology and pneumology. A secondary goal was to assess students’ perceptions of the test’s difficulty and the pedagogical value of AI-generated feedback. Methods: A cross-sectional, mixed-methods study was conducted with 25 second-year medical students who completed a 32-item SCT authored by ChatGPT-4o. Six LLMs (three trained on course material and three untrained) served as simulated experts to generate scoring keys and feedback. Students answered SCT questions, rated perceived difficulty, and selected the most helpful feedback explanation for each item. Quantitative analysis included scoring, difficulty ratings, and correlation between student and AI responses. Qualitative comments were thematically analyzed. Results: The average student score was 22.8 out of 32 (SD = 1.6), with scores ranging from 19.75 to 26.75. Trained AI systems showed significantly higher concordance with student responses (ρ = 0.64) than untrained models (ρ = 0.41). AI-generated feedback was rated as most helpful in 62.5% of cases, especially when provided by trained models. The SCT demonstrated good internal consistency (Cronbach’s α = 0.76), and students reported moderate perceived difficulty (mean=3.7/7). Qualitative feedback highlighted appreciation for SCTs as reflective tools, while recommending clearer guidance on Likert-scale use and more contextual detail in vignettes. Conclusions: This is among the first studies to demonstrate that trained generative AI models can reliably simulate expert clinical reasoning in a script concordance framework. The findings suggest that AI can both streamline SCT design and offer educational valuable feedback without compromising authenticity. Future studies should explore longitudinal effects on learning and assess how hybrid models (human and AI) can optimize reasoning instruction in medical education.

JMIR Formative Res: Teaching Clinical Reasoning in Health Care Professions Learners Using AI-Generated Script Concordance Tests: Mixed Methods Formative Evaluation #ClinicalReasoning #ArtificialIntelligence #MedicalEducation #HealthCareProfessions #GenerativeAI

Excited to read this! #nontechnicalskills #SurgSky #DecisionMaking #clinicalreasoning

🧩 Clinical Conundrum Alert!

A patient presents with classic meningitis...but is it?

Ready to solve the mystery? 🔍
🔗 doi.org/10.1002/jhm.70134

#MedicalEducation #ClinicalReasoning #HospitalMedicine #DiagnosticChallenge

🚨New RLR Podcast Episode 🚨

Tune in as Rabih and Prof Reza discuss a case of a Forehead Bump 🤔👨‍⚕️

🎧Listen here ➡️ clinicalproblemsolving.com/2025/11/05/e...

#Medsky #MedEd #ClinicalReasoning #CPSolvers

Building a Validity Argument for a New #ClinicalReasoning Item Format: A new think-aloud interview study asked students to verbalize their thoughts as they answered 12 SHARP (SHort Answer, Rationale Provision) items: https://bit.ly/478YTqG #MedEd #MedSky

#Match2025 Are you applying for Internal Medicine?

Tomorrow at 6:30 AM PST / 9:30 AM EST, we will host a session with the program from the University of Missouri Kansas City.

Join us to learn more about it!
➡️ clinicalproblemsolving.com/learn-live/

#ClinicalReasoning #MedEd #MedSky

Feeling overwhelmed by complex #PharmacyFirst clinical flowcharts?

This video demonstrates the guided step-by-step navigation with automated pan and zoom, ensuring you miss nothing.

#ClinicalReasoning

Static PDFs & dense PGDs are a tough way to learn complex clinical pathways.

Based on principles of multimedia learning, our interactive tool combines visual flowcharts & text to make the process intuitive. Here's a look at the Pharmacy Hub.

#PharmacyFirst #ClinicalReasoning