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Exploring Physicians’ Dual Perspectives on the Transition From Free Text to Structured and Standardized Documentation Practices: Interview and Participant Observational Study

Exploring Physicians’ Dual Perspectives on the Transition From Free Text to Structured and Standardized Documentation Practices: Interview and Participant Observational Study

Furthermore, Levy et al [23] emphasized that health professionals encounter an excessive documentation burden when the usability of the documentation systems fails to adequately support patient care delivery. This highlights the crucial role of systems’ usability and the need to assess their impact on documentation practices.

Olga Golburean, Rune Pedersen, Line Melby, Arild Faxvaag

JMIR Form Res 2025;9:e63902

Impact of a Digital Scribe System on Clinical Documentation Time and Quality: Usability Study

Impact of a Digital Scribe System on Clinical Documentation Time and Quality: Usability Study

In total, 21 medical students with experience in clinical practice and clinical documentation from Leiden University Medical Center consented to participate in our study. All students had a bachelor’s degree in medicine and completed a course in clinical documentation. The students received a compensation of €100 (US $111) for their participation. Autoscriber is a web-based software application that transcribes and summarizes medical conversations (currently with support for Dutch, English, and German).

Marieke Meija van Buchem, Ilse M J Kant, Liza King, Jacqueline Kazmaier, Ewout W Steyerberg, Martijn P Bauer

JMIR AI 2024;3:e60020

Effect of Digital Early Warning Scores on Hospital Vital Sign Observation Protocol Adherence: Stepped-Wedge Evaluation

Effect of Digital Early Warning Scores on Hospital Vital Sign Observation Protocol Adherence: Stepped-Wedge Evaluation

Other barriers to escalation include delays in documentation, lack of familiarity with the escalation protocol, failure to follow the protocol, and poor communication [10,11]. Digital EWS systems have been proposed as a solution. These systems automatically calculate the EWS based on data input by staff and display relevant information from the escalation protocol.

David Chi-Wai Wong, Timothy Bonnici, Stephen Gerry, Jacqueline Birks, Peter J Watkinson

J Med Internet Res 2024;26:e46691

Experiences of Electronic Health Records’ and Client Information Systems’ Use on a Mobile Device and Factors Associated With Work Time Savings Among Practical Nurses: Cross-Sectional Study

Experiences of Electronic Health Records’ and Client Information Systems’ Use on a Mobile Device and Factors Associated With Work Time Savings Among Practical Nurses: Cross-Sectional Study

Mobile devices may also reduce duplicate documentation [13] and potential documentation errors [17,20] because client data can be documented at the time of its occurrence. In addition, improved decision-making is one of the main advantages [9,20]. Mobile devices continuously provide the latest information on the situation of the clients, which can improve safety and the quality of care [14,18].

Satu Paatela, Maiju Kyytsönen, Kaija Saranto, Ulla-Mari Kinnunen, Tuulikki Vehko

J Med Internet Res 2024;26:e46954

Using ChatGPT-4 to Create Structured Medical Notes From Audio Recordings of Physician-Patient Encounters: Comparative Study

Using ChatGPT-4 to Create Structured Medical Notes From Audio Recordings of Physician-Patient Encounters: Comparative Study

Beyond the immediate implications of documentation errors, documentation demands have been identified as a significant contributor to physician burnout [2]. With health care professionals spending an increasing amount of their working hours on paperwork, there is less time and energy left for direct patient care.

Annessa Kernberg, Jeffrey A Gold, Vishnu Mohan

J Med Internet Res 2024;26:e54419

Moving Biosurveillance Beyond Coded Data Using AI for Symptom Detection From Physician Notes: Retrospective Cohort Study

Moving Biosurveillance Beyond Coded Data Using AI for Symptom Detection From Physician Notes: Retrospective Cohort Study

For each ED encounter, there was 1 final physician ED note that aggregated all ED physician documentation. Characteristics of the entire study cohort and variant-specific cohorts are summarized in Table 1. A patient could appear in the cohort more than once if they had multiple ED encounters. Characteristics of patients at emergency department encounters. a PCR: polymerase chain reaction. b ICD-10: International Classification of Diseases, 10th Revision.

Andrew J McMurry, Amy R Zipursky, Alon Geva, Karen L Olson, James R Jones, Vladimir Ignatov, Timothy A Miller, Kenneth D Mandl

J Med Internet Res 2024;26:e53367