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Using a Hybrid of AI and Template-Based Method in Automatic Item Generation to Create Multiple-Choice Questions in Medical Education: Hybrid AIG

Using a Hybrid of AI and Template-Based Method in Automatic Item Generation to Create Multiple-Choice Questions in Medical Education: Hybrid AIG

The purpose of generating MCQs in medical education is for a human expert to assess the students’ skills and knowledge and to evaluate whether they have grasped the nuances of the information presented, aiming for outcomes that are consistent with expert reasoning. The parent item includes the necessary components and embedded possible cognitive models required for this purpose, as it is approved and provided by the expert.

Yavuz Selim Kıyak, Andrzej A Kononowicz

JMIR Form Res 2025;9:e65726

Evaluation of the Development, Implementation, Maintenance, and Impact of 3 Digital Surveillance Tools Deployed in Malawi During the COVID-19 Pandemic: Protocol for a Modified Delphi Expert Consensus Study

Evaluation of the Development, Implementation, Maintenance, and Impact of 3 Digital Surveillance Tools Deployed in Malawi During the COVID-19 Pandemic: Protocol for a Modified Delphi Expert Consensus Study

In this paper, we will seek expert consensus using the Delphi methodology to examine Malawi’s COVID-19 digital surveillance response strategy, that is, the use of the following 3 digital tools. This application extends the existing infrastructure of electronic medical records and implements an electronic integrated disease surveillance and response system to facilitate real-time detection and reporting of notifiable disease cases.

Alanna Denny, Isaach Ndemera, Kingston Chirwa, Joseph Tsung Shu Wu, Griphin Baxter Chirambo, Simeon Yosefe, Ben Chilima, Matthew Kagoli, Hsin-yi Lee, Kwong Leung Joseph Yu, John O'Donoghue

JMIR Res Protoc 2024;13:e58389

Dimensions and Subcategories of Digital Maturity in General Practice: Qualitative Study

Dimensions and Subcategories of Digital Maturity in General Practice: Qualitative Study

An explorative qualitative research design based on semistructured, guided expert interviews was used to answer the research question. The decision to use a qualitative research design was made against the background of a lack of empirical approaches for determining the dimensions of maturity models. The aim was to examine the understanding of digital maturity independently of existing maturity models.

Timo Neunaber, Achim Mortsiefer, Sven Meister

J Med Internet Res 2024;26:e57786

Co-Designing the MOSAIC mHealth App With Breast Cancer Survivors: User-Centered Design Approach

Co-Designing the MOSAIC mHealth App With Breast Cancer Survivors: User-Centered Design Approach

Our multidisciplinary team was comprised of breast cancer survivors (the end user), content experts, UX designers, and a stress expert facilitator.

Betsey Zenk Nuseibeh, Shelley A Johns, Patrick C Shih, Gregory F Lewis, Tayler M Gowan, Evan J Jordan

JMIR Form Res 2024;8:e59426

EpiHacks, a Process for Technologists and Health Experts to Cocreate Optimal Solutions for Disease Prevention and Control: User-Centered Design Approach

EpiHacks, a Process for Technologists and Health Experts to Cocreate Optimal Solutions for Disease Prevention and Control: User-Centered Design Approach

A developer to health expert ratio of 3:1 is recommended. Given that 3 in 4 emerging infectious diseases have their origins in animals, it is imperative that technology-enabled solutions for disease prevention and control engage both the human and animal sectors [2]. Epi Hacks therefore require the active engagement of subject matter experts across the human and animal health sectors, including epidemiologists, veterinarians, and health care specialists.

Nomita Divi, Mark Smolinski

J Med Internet Res 2021;23(12):e34286

Features Constituting Actionable COVID-19 Dashboards: Descriptive Assessment and Expert Appraisal of 158 Public Web-Based COVID-19 Dashboards

Features Constituting Actionable COVID-19 Dashboards: Descriptive Assessment and Expert Appraisal of 158 Public Web-Based COVID-19 Dashboards

Actionability scores were defined on a Likert scale from “not actionable” (score=1) to “extremely actionable” (score=5) and assigned based on the scorer’s judgement of the considerations assessed and their expert opinion of the dashboard’s fitness for purpose and use. Scores were accompanied by a written statement explaining the rationale behind the response.

Damir Ivanković, Erica Barbazza, Véronique Bos, Óscar Brito Fernandes, Kendall Jamieson Gilmore, Tessa Jansen, Pinar Kara, Nicolas Larrain, Shan Lu, Bernardo Meza-Torres, Joko Mulyanto, Mircha Poldrugovac, Alexandru Rotar, Sophie Wang, Claire Willmington, Yuanhang Yang, Zhamin Yelgezekova, Sara Allin, Niek Klazinga, Dionne Kringos

J Med Internet Res 2021;23(2):e25682