Recent publications on diagnostic quality and safety

Mark Graber Mark.Graber at IMPROVEDIAGNOSIS.ORG
Mon Jul 29 17:44:26 UTC 2019

Dear colleagues:

Below, please find links to recent publications on the safety and quality of diagnosis.  Thanks to Ilse Garcia Romero for her help identifying articles.

As reminders, you can find a list of Foundational Readings<> about diagnosis on the SIDM website, and joining <> SIDM provides you full access to all articles published in our journal, DIAGNOSIS, just by logging in to your SIDM account.


Mark L Graber MD FACP
Chief Medical Officer; Founder and President Emeritus, SIDM
Professor Emeritus, Stony Brook University, NY
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Peer review publications of interest

Serious misdiagnosis-related harms in malpractice claims: The “Big Three” – vascular events, infections, and cancers

Pediatric clinician perspectives on communicating diagnostic uncertainty<>

Improving Diagnostic Fidelity: An Approach to Standardizing the Process in Patients With Emerging Critical Illness

Pathologists’ Knowledge, Experience, and Judgment in Diagnostic Error Prevention (Pathologists’ Competence)

Recommendations for using the Revised Safer Dx Instrument to help measure and improve diagnostic safety

Competencies for improving diagnosis: an interprofessional framework for education and training in health care

Assessing diagnostic error in cerebral venous thrombosis via detailed chart review

Primary adrenal insufficiency in the United States: diagnostic error and patient satisfaction with treatment

Editorials, blogs, and other news

David Newman-Toker:   Where Is the “Low-Hanging Fruit” in Diagnostic Quality and Safety?

The Times Magazine’s ‘Diagnosis’ Column Is Now a Documentary Series

Pilot study of 5-hour molecular test accurately distinguishes malignant and benign breast tumors

3-D printed pill samples gut microbiome to aid diagnosis and treatment

Fort Sanders Regional Medical Center introduces new software to diagnose strokes faster

'Electronic tongues' may help diagnose early stage bladder cancer

Johns Hopkins designs criteria for diagnostic imaging tests

Doctors Are Turning to Artificial Intelligence to Diagnose Cancer Patients

Would you trust an algorithm to diagnose an illness?  (AI to diagnose retinal disease)

Effects of deliberate reflection on diagnostic accuracy, confidence and diagnostic calibration in dermatology<>

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