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Prompt Framework for Extracting Scale-Related Knowledge Entities from Chinese Medical Literature: Development and Evaluation Study

Prompt Framework for Extracting Scale-Related Knowledge Entities from Chinese Medical Literature: Development and Evaluation Study

Given the importance of task-oriented prompt design and the linguistic complexities of Chinese medical literature, there is an urgent need to develop a specialized framework for medical scale–related knowledge extraction. In this study, we propose Med Scale NER, a task-oriented prompt framework tailored for named entity recognition (NER) of medical scales in Chinese medical literature.

Jie Hao, Zhenli Chen, Qinglong Peng, Liang Zhao, Wanqing Zhao, Shan Cong, Junlian Li, Jiao Li, Qing Qian, Haixia Sun

J Med Internet Res 2025;27:e67033

Applying Critical Discourse Analysis to Cross-Cultural Mental Health Recovery Research

Applying Critical Discourse Analysis to Cross-Cultural Mental Health Recovery Research

Adapted version of the analytical framework for critical discourse analysis [1,2,40]. a TXT files: text files. As both CDA and mental health recovery research share the common goal of identifying and addressing inequalities, our adaptation of established CDA frameworks to cross-cultural mental health recovery research represents a crucial step forward. This paper offered valuable insights to researchers seeking to explore recovery in cross-cultural contexts using CDA.

Yasuhiro Kotera, Riddhi Daryanani, Oliver Skipper, Jonathan Simpson, Simran Takhi, Merly McPhilbin, Benjamin-Rose Ingall, Mariam Namasaba, Jessica Jepps, Vanessa Kellermann, Divya Bhandari, Yasutaka Ojio, Amy Ronaldson, Estefania Guerrero, Tesnime Jebara, Claire Henderson, Mike Slade, Sara Vilar-Lluch

JMIR Form Res 2025;9:e64087

The Design and Evaluation of a Simulation Tool for Audiology Screening Education: Design Science Approach

The Design and Evaluation of a Simulation Tool for Audiology Screening Education: Design Science Approach

This work’s contributions include a framework for developing a simulation of an existing process (hearing screening testing) and the description of a unique artifact with a user interface that closely emulates an existing commercial tool used to perform hearing screenings. This artifact supports an individualized, self-paced learning environment incorporating context-sensitive feedback and performance assessment.

John Gerdes, Benjamin Schooley, Dakota Sharp, Juliana Miller

JMIR Form Res 2025;9:e47150

Toward a New Conceptual Framework for Digital Mental Health Technologies: Scoping Review

Toward a New Conceptual Framework for Digital Mental Health Technologies: Scoping Review

In step 2, we discussed findings from the rapid review and broader issues with developing a framework with an expert working group. Finally, in step 3, we considered the perspectives of the expert working group and developed a framework that could inform future work in this area.

Gareth Hopkin, Holly Coole, Francesca Edelmann, Lynda Ayiku, Richard Branson, Paul Campbell, Sophie Cooper, Mark Salmon

JMIR Ment Health 2025;12:e63484

A Health Professional Mentorship Platform to Improve Equitable Access to Abortion: Development, Usability, and Content Evaluation

A Health Professional Mentorship Platform to Improve Equitable Access to Abortion: Development, Usability, and Content Evaluation

A wireframe is a visual guide that shows a skeletal framework of a web interface [18]. The wireframe was designed to follow the format of the resources on the master file. The framework depicted the page layout and arrangement of content on the website including interface elements, navigational features, the range of functions to include, and the relative prioritization of content.

Abdul-Fatawu Abdulai, Cam Duong, Eleni Stroulia, Efrat Czerniak, Rachel Chiu, Aashay Mehta, Ken Koike, Wendy V Norman

JMIR Hum Factors 2025;12:e63364

Using Structured Codes and Free-Text Notes to Measure Information Complementarity in Electronic Health Records: Feasibility and Validation Study

Using Structured Codes and Free-Text Notes to Measure Information Complementarity in Electronic Health Records: Feasibility and Validation Study

First, we extracted both structured and unstructured data for each eligible patient and applied a concept extraction framework to extract clinical concepts from the free-text notes. Second, we applied 2 different data grouping methods to the population. Third, we used pretrained multilingual concept embeddings to calculate the similarities between the structured and extracted concepts.

Tom M Seinen, Jan A Kors, Erik M van Mulligen, Peter R Rijnbeek

J Med Internet Res 2025;27:e66910

Building a Foundation for High-Quality Health Data: Multihospital Case Study in Belgium

Building a Foundation for High-Quality Health Data: Multihospital Case Study in Belgium

Despite these efforts, there is still no comprehensive framework that captures all aspects of data quality [8]. This has led to a fragmented understanding of data quality dimensions, with varying interpretations depending on the specific use of health data. Literature suggests that existing methods are often constrained by the absence of standardized metrics that can accurately assess data quality across different dimensions [8].

Jens Declerck, Bert Vandenberk, Mieke Deschepper, Kirsten Colpaert, Lieselot Cool, Jens Goemaere, Mona Bové, Frank Staelens, Koen De Meester, Eva Verbeke, Elke Smits, Cami De Decker, Nicky Van Der Vekens, Elin Pauwels, Robert Vander Stichele, Dipak Kalra, Pascal Coorevits

JMIR Med Inform 2024;12:e60244

A Cross-Disciplinary Analysis of the Complexities of Scaling Up eHealth Innovation

A Cross-Disciplinary Analysis of the Complexities of Scaling Up eHealth Innovation

They do, however, mobilize a diversity of viewpoints and arguments that enable us to illuminate crucial aspects of the complexities of technology scale-up, giving us a generative heuristic framework for our analysis.

Sanne Allers, Chiara Carboni, Frank Eijkenaar, Rik Wehrens

J Med Internet Res 2024;26:e58007

Data Ownership in the AI-Powered Integrative Health Care Landscape

Data Ownership in the AI-Powered Integrative Health Care Landscape

The lack of a clear regulatory framework adds to the complexity, introducing uncertainties about data ownership and usage within the IHC landscape. Furthermore, data privacy laws, both common law and civil, are often incompatible with public blockchains because anyone can see the information stored on them. This transparency can be a major issue for sensitive data.

Shuimei Liu, L Raymond Guo

JMIR Med Inform 2024;12:e57754