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Is Boundary Annotation Necessary? Evaluating Boundary-Free Approaches to Improve Clinical Named Entity Annotation Efficiency: Case Study

Is Boundary Annotation Necessary? Evaluating Boundary-Free Approaches to Improve Clinical Named Entity Annotation Efficiency: Case Study

We performed a case study to evaluate the efficiency of the proposed methods when annotating a corpus of Japanese medical case reports to create training data for an NER system. Our contributions are summarized as follows. We present 2 novel boundary-free annotation methodologies, evaluate the efficiency of the annotation process by metrics of annotation time and annotator agreement, and analyze the impact on the performance of an NER system trained with annotated corpora.

Gabriel Herman Bernardim Andrade, Shuntaro Yada, Eiji Aramaki

JMIR Med Inform 2024;12:e59680

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Navigating the Pedagogical Landscape: Exploring the Implications of AI and Chatbots in Nursing Education

Navigating the Pedagogical Landscape: Exploring the Implications of AI and Chatbots in Nursing Education

By examining the impact of AI and chatbots on student learning, engagement, and teacher effectiveness and efficiency, this viewpoint paper aims to provide educators and researchers in nursing education with a deeper understanding of the potential benefits and challenges of integrating AI and chatbots into their teaching practice. However, there are also challenges and ethical considerations that must be addressed.

Muthuvenkatachalam Srinivasan, Ambili Venugopal, Latha Venkatesan, Rajesh Kumar

JMIR Nursing 2024;7:e52105

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Enhancing the Efficiency of a Radiation Oncology Department Using Electronic Medical Records: Protocol for Preparing Radiotherapy

Enhancing the Efficiency of a Radiation Oncology Department Using Electronic Medical Records: Protocol for Preparing Radiotherapy

This study examines how the integration of the RT EMR system with our HIS improved the efficiency of our department and the accuracy of the data. In this study, we demonstrated that by consolidating the 2 separate systems into 1, we were able to significantly increase efficiency, save time, and conserve valuable resources. In January 2020, the first meeting was convened to discuss the implementation of EMRs.

Hao-Shen Cheng, Weir-Chiang You, Ni-Wei Chen, Mu-Chih Hsieh, Che-Fu Tsai, Chia-Jing Ho, Chien-Chih Chen

JMIR Res Protoc 2024;13:e51002

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The Accuracy and Potential Racial and Ethnic Biases of GPT-4 in the Diagnosis and Triage of Health Conditions: Evaluation Study

The Accuracy and Potential Racial and Ethnic Biases of GPT-4 in the Diagnosis and Triage of Health Conditions: Evaluation Study

These findings suggest that GPT-4 is a promising tool for improving the efficiency of health care service provision by supporting clinicians in making diagnosis and triage decisions, without introducing significant unconscious racial and ethnic biases into such decisions. Given the remarkable advances of AI in recent years, conversational AI, including GPT-4 will likely impact clinical practice and decision-making.

Naoki Ito, Sakina Kadomatsu, Mineto Fujisawa, Kiyomitsu Fukaguchi, Ryo Ishizawa, Naoki Kanda, Daisuke Kasugai, Mikio Nakajima, Tadahiro Goto, Yusuke Tsugawa

JMIR Med Educ 2023;9:e47532

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Telehealth in the COVID-19 Era: A Balancing Act to Avoid Harm

Telehealth in the COVID-19 Era: A Balancing Act to Avoid Harm

The telehealth revolution has been heralded for its potential to increase health care access and improve the efficiency of health care delivery. Previously, telehealth had been strategically rolled out to settings wherein the need for a relationship is less pressing (eg, radiology), outcomes can be remotely assessed in principle (eg, dermatology), or access to care is severely limited (eg, rural areas) [1]. COVID-19 prompted a near-universal expansion of telehealth utilization.

J Jeffery Reeves, John W Ayers, Christopher A Longhurst

J Med Internet Res 2021;23(2):e24785

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Effective Use of Mobile Electronic Medical Records by Medical Interns in Real Clinical Settings: Mixed Methods Study

Effective Use of Mobile Electronic Medical Records by Medical Interns in Real Clinical Settings: Mixed Methods Study

The m EMR has been shown to improve the efficiency and effectiveness of hospital workflow in previous studies [13,14]. However, none of the previous studies evaluated the time efficiency of interns’ job achievement in a clinical setting using m EMRs. This study aims to determine the association between interns' clinical task completion time interval and the frequency of m EMR usage. This mixed methods study was conducted at the Samsung Medical Center, Seoul, South Korea.

SuJin Kim, Seulji Ku, Taerim Kim, Won Chul Cha, Kwang Yul Jung

JMIR Mhealth Uhealth 2020;8(12):e23622

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Measuring Mobility and Room Occupancy in Clinical Settings: System Development and Implementation

Measuring Mobility and Room Occupancy in Clinical Settings: System Development and Implementation

Specifically, we show how capturing and studying the longitudinal movement of people in a hospital can provide insights into the operational characteristics and efficiency of the hospital. We show multiple analyses where long-term mobility patterns help us quantify a hospital’s operational efficiency. Hospitals are no strangers to localization technologies [1].

Gabriele Marini, Benjamin Tag, Jorge Goncalves, Eduardo Velloso, Raja Jurdak, Daniel Capurro, Clare McCarthy, William Shearer, Vassilis Kostakos

JMIR Mhealth Uhealth 2020;8(10):e19874

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Evaluating the Impact of Physical Activity Apps and Wearables: Interdisciplinary Review

Evaluating the Impact of Physical Activity Apps and Wearables: Interdisciplinary Review

Consequently, researchers have emphasized the need for greater “efficiency” (ie, rapid, responsive, and relevant [11], or agile [13] research) when evaluating mobile health (m Health) technologies. Evaluating the effectiveness of m Health technologies can be particularly challenging because of their “complexity” [14]. Physical activity apps and wearables often contain multiple components, which can interact with context and produce different outcomes for different people in different settings [15,16].

Claire McCallum, John Rooksby, Cindy M Gray

JMIR Mhealth Uhealth 2018;6(3):e58

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Harnessing ChatGPT for Thematic Analysis: Are We Ready?

Harnessing ChatGPT for Thematic Analysis: Are We Ready?

Given Chat GPT’s ability to handle large textual data and provide sets of meaningful codes and themes, as demonstrated by De Paoli [13], Chat GPT has the potential to improve the efficiency of the thematic analysis process.

V Vien Lee, Stephanie C C van der Lubbe, Lay Hoon Goh, Jose Maria Valderas

J Med Internet Res 2024;26:e54974

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