Diabetes-specific EHR Improvements

Articles published in 2024 in this theme: 10 (scroll down to load remaining articles)

2024

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Machine Learning–Based Prediction for High Health Care Utilizers by Using a Multi-Institutional Diabetes Registry: Model Training and Evaluation

Joshua Kuan Tan, Le Quan, Nur Nasyitah Mohamed Salim, Jen Hong Tan, Su-Yen Goh, Julian Thumboo, Yong Mong Bee

JMIR AI 2024 (Oct 17); 3:e58463

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Exploring the User Acceptability and Feasibility of a Clinical Decision Support Tool Designed to Facilitate Timely Diagnosis of New-Onset Type 1 Diabetes in Children: Qualitative Interview Study Among General Practitioners

Chiara Beccia, Barbara Hunter, Jo-Anne Manski-Nankervis, Mary White

JMIR Form Res 2024 (Sep 23); 8:e60411

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The Development of an Electronic Medical Record System to Improve Quality of Care for Individuals With Type 1 Diabetes in Rwanda: Qualitative Study

Nathalie Bille, Dirk Lund Christensen, Stine Byberg, Michael Calopietro, Crispin Gishoma, Sarah Fredsted Villadsen

JMIR Diabetes 2024 (Sep 20); 9:e52271

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Recommendations to Address Barriers to Patient Portal Use Among Persons With Diabetes Seeking Care at Community Health Centers: Interview Study With Patients and Health Care Providers

Samuel Akyirem, Julie Wagner, Helen N Chen, Joanna Lipson, Maritza Minchala, Karina Cortez, Robin Whittemore

JMIR Diabetes 2024 (Sep 16); 9:e58526

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A Machine Learning Model for Risk Stratification of Postdiagnosis Diabetic Ketoacidosis Hospitalization in Pediatric Type 1 Diabetes: Retrospective Study

Devika Subramanian, Rona Sonabend, Ila Singh

JMIR Diabetes 2024 (Aug 07); 9:e53338

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Effects of a Patient Portal Intervention to Address Diabetes Care Gaps: Protocol for a Pragmatic Randomized Controlled Trial

Amber J Hackstadt, Tom A Elasy, Sapna Gangaputra, Kryseana J Harper, Lindsay S Mayberry, Lyndsay A Nelson, Neeraja B Peterson, S Trent Rosenbloom, Zhihong Yu, William Martinez

JMIR Res Protoc 2024 (Jun 28); 13:e56123

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Assessing the Utility, Impact, and Adoption Challenges of an Artificial Intelligence–Enabled Prescription Advisory Tool for Type 2 Diabetes Management: Qualitative Study

Sungwon Yoon, Hendra Goh, Phong Ching Lee, Hong Chang Tan, Ming Ming Teh, Dawn Shao Ting Lim, Ann Kwee, Chandran Suresh, David Carmody, Du Soon Swee, Sarah Ying Tse Tan, Andy Jun-Wei Wong, Charlotte Hui-Min Choo, Zongwen Wee, Yong Mong Bee

JMIR Hum Factors 2024 (Jun 13); 11:e50939

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Deriving Treatment Decision Support From Dutch Electronic Health Records by Exploring the Applicability of a Precision Cohort–Based Procedure for Patients With Type 2 Diabetes Mellitus: Precision Cohort Study

Xavier Pinho, Willemijn Meijer, Albert de Graaf

Online J Public Health Inform 2024 (May 01); 16:e51092

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Implementation of an Electronic Clinical Decision Support System for the Early Recognition and Management of Dysglycemia in an Inpatient Mental Health Setting Using CogStack: Protocol for a Pilot Hybrid Type 3 Effectiveness-Implementation Randomized Controlled Cluster Trial

Dipen Patel, Yamiko Joseph Msosa, Tao Wang, Julie Williams, Omar G Mustafa, Siobhan Gee, Barbara Arroyo, Damian Larkin, Trevor Tiedt, Angus Roberts, Richard J B Dobson, Fiona Gaughran

JMIR Res Protoc 2024 (Apr 05); 13:e49548

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Care Partner Engagement in Secure Messaging Between Patients With Diabetes and Their Clinicians: Cohort Study

Wagahta Semere, Andrew J Karter, Courtney R Lyles, Mary E Reed, Leah Karliner, Celia Kaplan, Jennifer Y Liu, Jennifer Livaudais-Toman, Dean Schillinger

JMIR Diabetes 2024 (Feb 09); 9:e49491

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