Decision Support for Health Professionals

The AI Will See You Now: Feasibility and Acceptability of a Conversational AI Medical Interviewing System

Grace Hong, Margaret Smith, Steven Lin

JMIR Form Res 2022 (Jun 27); 6(6):e37028

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Identifying Patients With Delirium Based on Unstructured Clinical Notes: Observational Study

Wendong Ge, Haitham Alabsi, Aayushee Jain, Elissa Ye, Haoqi Sun, Marta Fernandes, Colin Magdamo, Ryan A Tesh, Sarah I Collens, Amy Newhouse, Lidia MVR Moura, Sahar Zafar, John Hsu, Oluwaseun Akeju, Gregory K Robbins, Shibani S Mukerji, Sudeshna Das, M Brandon Westover

JMIR Form Res 2022 (Jun 24); 6(6):e33834

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Medication Use and Clinical Outcomes by the Dutch Institute for Clinical Auditing Medicines Program: Quantitative Analysis

Rawa Kamaran Ismail, Jesper van Breeschoten, Silvia van der Flier, Caspar van Loosen, Anna Maria Gerdina Pasmooij, Maaike van Dartel, Alfons van den Eertwegh, Anthonius de Boer, Michel Wouters, Doranne Hilarius

J Med Internet Res 2022 (Jun 23); 24(6):e33446

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A Clinical Decision Support System for Assessing the Risk of Cervical Cancer: Development and Evaluation Study

Nasrin Chekin, Haleh Ayatollahi, Mojgan Karimi Zarchi

JMIR Med Inform 2022 (Jun 22); 10(6):e34753

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System for Context-Specific Visualization of Clinical Practice Guidelines (GuLiNav): Concept and Software Implementation

Jonas Fortmann, Marlene Lutz, Cord Spreckelsen

JMIR Form Res 2022 (Jun 22); 6(6):e28013

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A Disease Identification Algorithm for Medical Crowdfunding Campaigns: Validation Study

Steven S Doerstling, Dennis Akrobetu, Matthew M Engelhard, Felicia Chen, Peter A Ubel

J Med Internet Res 2022 (Jun 21); 24(6):e32867

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Toward an Ecologically Valid Conceptual Framework for the Use of Artificial Intelligence in Clinical Settings: Need for Systems Thinking, Accountability, Decision-making, Trust, and Patient Safety Considerations in Safeguarding the Technology and Clinicians

Avishek Choudhury

JMIR Hum Factors 2022 (Jun 21); 9(2):e35421

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The Drivers of Acceptance of Artificial Intelligence–Powered Care Pathways Among Medical Professionals: Web-Based Survey Study

Lisa Cornelissen, Claudia Egher, Vincent van Beek, Latoya Williamson, Daniel Hommes

JMIR Form Res 2022 (Jun 21); 6(6):e33368

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Implementation Outcomes Assessment of a Digital Clinical Support Tool for Intrapartum Care in Rural Kenya: Observational Analysis

Nhi Dinh, Smisha Agarwal, Lisa Avery, Priya Ponnappan, Judith Chelangat, Paul Amendola, Alain Labrique, Linda Bartlett

JMIR Form Res 2022 (Jun 20); 6(6):e34741

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Quality Criteria for Real-world Data in Pharmaceutical Research and Health Care Decision-making: Austrian Expert Consensus

Peter Klimek, Dejan Baltic, Martin Brunner, Alexander Degelsegger-Marquez, Gerhard Garhöfer, Ghazaleh Gouya-Lechner, Arnold Herzog, Bernd Jilma, Stefan Kähler, Veronika Mikl, Bernhard Mraz, Herwig Ostermann, Claas Röhl, Robert Scharinger, Tanja Stamm, Michael Strassnig, Christa Wirthumer-Hoche, Johannes Pleiner-Duxneuner

JMIR Med Inform 2022 (Jun 17); 10(6):e34204

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Predicting Risk of Hypoglycemia in Patients With Type 2 Diabetes by Electronic Health Record–Based Machine Learning: Development and Validation

Hao Yang, Jiaxi Li, Siru Liu, Xiaoling Yang, Jialin Liu

JMIR Med Inform 2022 (Jun 16); 10(6):e36958

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Multitask Learning With Recurrent Neural Networks for Acute Respiratory Distress Syndrome Prediction Using Only Electronic Health Record Data: Model Development and Validation Study

Carson Lam, Rahul Thapa, Jenish Maharjan, Keyvan Rahmani, Chak Foon Tso, Navan Preet Singh, Satish Casie Chetty, Qingqing Mao

JMIR Med Inform 2022 (Jun 15); 10(6):e36202

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Perspective of Information Technology Decision Makers on Factors Influencing Adoption and Implementation of Artificial Intelligence Technologies in 40 German Hospitals: Descriptive Analysis

Lina Weinert, Julia Müller, Laura Svensson, Oliver Heinze

JMIR Med Inform 2022 (Jun 15); 10(6):e34678

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A Novel Score for mHealth Apps to Predict and Prevent Mortality: Further Validation and Adaptation to the US Population Using the US National Health and Nutrition Examination Survey Data Set

Shatha Elnakib, Andres I Vecino-Ortiz, Dustin G Gibson, Smisha Agarwal, Antonio J Trujillo, Yifan Zhu, Alain B Labrique

J Med Internet Res 2022 (Jun 14); 24(6):e36787

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Machine Learning Support for Decision-Making in Kidney Transplantation: Step-by-step Development of a Technological Solution

François-Xavier Paquette, Amir Ghassemi, Olga Bukhtiyarova, Moustapha Cisse, Natanael Gagnon, Alexia Della Vecchia, Hobivola A Rabearivelo, Youssef Loudiyi

JMIR Med Inform 2022 (Jun 14); 10(6):e34554

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The Prediction of Preterm Birth Using Time-Series Technology-Based Machine Learning: Retrospective Cohort Study

Yichao Zhang, Sha Lu, Yina Wu, Wensheng Hu, Zhenming Yuan

JMIR Med Inform 2022 (Jun 13); 10(6):e33835

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Acceptance, Barriers, and Facilitators to Implementing Artificial Intelligence–Based Decision Support Systems in Emergency Departments: Quantitative and Qualitative Evaluation

Ryo Fujimori, Keibun Liu, Shoko Soeno, Hiromu Naraba, Kentaro Ogura, Konan Hara, Tomohiro Sonoo, Takayuki Ogura, Kensuke Nakamura, Tadahiro Goto

JMIR Form Res 2022 (Jun 13); 6(6):e36501

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Machine Learning–Based Text Analysis to Predict Severely Injured Patients in Emergency Medical Dispatch: Model Development and Validation

Kuan-Chen Chin, Yu-Chia Cheng, Jen-Tang Sun, Chih-Yen Ou, Chun-Hua Hu, Ming-Chi Tsai, Matthew Huei-Ming Ma, Wen-Chu Chiang, Albert Y Chen

J Med Internet Res 2022 (Jun 10); 24(6):e30210

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Error and Timeliness Analysis for Using Machine Learning to Predict Asthma Hospital Visits: Retrospective Cohort Study

Xiaoyi Zhang, Gang Luo

JMIR Med Inform 2022 (Jun 08); 10(6):e38220

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Medication-Wide Association Study Using Electronic Health Record Data of Prescription Medication Exposure and Multifetal Pregnancies: Retrospective Study

Lena Davidson, Silvia P Canelón, Mary Regina Boland

JMIR Med Inform 2022 (Jun 07); 10(6):e32229

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