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Snowball Group Usability Testing for Rapid and Iterative Multisite Tool Development: Method Development Study

Snowball Group Usability Testing for Rapid and Iterative Multisite Tool Development: Method Development Study

Usability testing is particularly important in clinical decision support (CDS) development. CDS tools are evidence-based tools that help clinicians make decisions to improve patient care. Usability testing during CDS development increases the likelihood of tool adoption and impact by creating a tool that is workflow-integrated, useful, and easy to use [1-5].

Katherine L Dauber-Decker, David Feldstein, Rachel Hess, Devin Mann, Eun Ji Kim, Pranisha Gautam-Goyal, Jeffrey Solomon, Sundas Khan, Fatima Malik, Lynn Xu, Ainsley Huffman, Paul D Smith, Wendy Halm, Alice Yuroff, Safiya Richardson

JMIR Form Res 2025;9:e55316

Performance of an Electronic Health Record–Based Automated Pulmonary Embolism Severity Index Score Calculator: Cohort Study in the Emergency Department

Performance of an Electronic Health Record–Based Automated Pulmonary Embolism Severity Index Score Calculator: Cohort Study in the Emergency Department

To promote PESI use in our hospital and facilitate more consistent implementation across other health systems, we created a new CDS within our 2023 Epic-based EHR featuring an electronic PESI calculator, or “e PESI” that automatically calculates a patient’s PESI score when a computerized tomography-pulmonary embolism (CT-PE) is ordered.

Elizabeth Joyce, James McMullen, Xiaowen Kong, Connor O'Hare, Valerie Gavrila, Anthony Cuttitta, Geoffrey D Barnes, Colin F Greineder

JMIR Med Inform 2025;13:e58800

Barriers to Implementing Registered Nurse–Driven Clinical Decision Support for Antibiotic Stewardship: Retrospective Case Study

Barriers to Implementing Registered Nurse–Driven Clinical Decision Support for Antibiotic Stewardship: Retrospective Case Study

Therefore, the i CPR intervention was adapted for RNs to include the identification of patients with low-acuity URI followed by clinical decision support (CDS)–guided RN visits. The intervention was implemented in February 2022 as a stepped-wedge trial in primary and urgent care practices within 4 academic health systems in New York, Wisconsin, and Utah [26].

Elizabeth R Stevens, Lynn Xu, JaeEun Kwon, Sumaiya Tasneem, Natalie Henning, Dawn Feldthouse, Eun Ji Kim, Rachel Hess, Katherine L Dauber-Decker, Paul D Smith, Wendy Halm, Pranisha Gautam-Goyal, David A Feldstein, Devin M Mann

JMIR Form Res 2024;8:e54996

Academic Detailing as a Health Information Technology Implementation Method: Supporting the Design and Implementation of an Emergency Department–Based Clinical Decision Support Tool to Prevent Future Falls

Academic Detailing as a Health Information Technology Implementation Method: Supporting the Design and Implementation of an Emergency Department–Based Clinical Decision Support Tool to Prevent Future Falls

Clarified the importance of counseling patients on the referral and demonstrated where in the CDS to access information to support counseling patients on the referral. Demonstrated where in the CDS to find the reasons the patient was flagged as high risk. a CDS: clinical decision support. b EHR: electronic health record. c ED: emergency department. The first category of factors that influenced clinicians’ use of the CDS was those that related to the design of the CDS tool.

Hanna J Barton, Apoorva Maru, Margaret A Leaf, Daniel J Hekman, Douglas A Wiegmann, Manish N Shah, Brian W Patterson

JMIR Hum Factors 2024;11:e52592

Clinical Decision Support System for Guidelines-Based Treatment of Gonococcal Infections, Screening for HIV, and Prescription of Pre-Exposure Prophylaxis: Design and Implementation Study

Clinical Decision Support System for Guidelines-Based Treatment of Gonococcal Infections, Screening for HIV, and Prescription of Pre-Exposure Prophylaxis: Design and Implementation Study

We evaluated CDS solution use and outcome metrics specifically for any person with confirmed case of gonorrhea or with an STI-related chief complaint. Data were collected on the demographics of the patient population to ensure appropriate comparison between the baseline and intervention populations, use metrics of CDS solutions by X-Clinic, and outcomes following the implementation of the CDS solution.

Saugat Karki, Sarah Shaw, Michael Lieberman, Alejandro Pérez, Jonathan Pincus, Priya Jakhmola, Amrita Tailor, Oyinkansola Bukky Ogunrinde, Danielle Sill, Shane Morgan, Miguel Alvarez, Jonathan Todd, Dawn Smith, Ninad Mishra

JMIR Form Res 2024;8:e53000