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Bridging Data Silos in Oncology with Modular Software for Federated Analysis on Fast Healthcare Interoperability Resources: Multisite Implementation Study

Bridging Data Silos in Oncology with Modular Software for Federated Analysis on Fast Healthcare Interoperability Resources: Multisite Implementation Study

We developed an extract-transform-load (ETL) process, a data integration method that involves extracting data from its original source, transforming it into a suitable format, and loading it into a target system. This process transforms o BDS XML-data to HL7 FHIR resources [41]. This component reads single o BDS XML-reports from an Apache Kafka topic, maps them to FHIR resources of the oncology FHIR model developed by Lambarki et al [42] and publishes the results to another Apache Kafka topic.

Jasmin Ziegler, Marcel Pascal Erpenbeck, Timo Fuchs, Anna Saibold, Paul-Christian Volkmer, Guenter Schmidt, Johanna Eicher, Peter Pallaoro, Renata De Souza Falguera, Fabio Aubele, Marlien Hagedorn, Ekaterina Vansovich, Johannes Raffler, Stephan Ringshandl, Alexander Kerscher, Julia Karolin Maurer, Brigitte Kühnel, Gerhard Schenkirsch, Marvin Kampf, Lorenz A Kapsner, Hadieh Ghanbarian, Helmut Spengler, Iñaki Soto-Rey, Fady Albashiti, Dirk Hellwig, Maximilian Ertl, Georg Fette, Detlef Kraska, Martin Boeker, Hans-Ulrich Prokosch, Christian Gulden

J Med Internet Res 2025;27:e65681

Methadone Patient Access to Collaborative Treatment: Protocol for a Pilot and a Randomized Controlled Trial to Establish Feasibility of Adoption and Impact on Methadone Treatment Delivery and Patient Outcomes

Methadone Patient Access to Collaborative Treatment: Protocol for a Pilot and a Randomized Controlled Trial to Establish Feasibility of Adoption and Impact on Methadone Treatment Delivery and Patient Outcomes

The creation of a trauma-informed codevelopment space was crucial to facilitate safer and more open discussions. To accomplish this, we established a parallel, intervention refinement process using a helical structure developed by this team and based on our prior research with structural indicators for community-based participatory action research [33]. As shown in Figure 2, the “hand off” of work drives an iterative (helical) thinking process.

Beth E Meyerson, Alissa Davis, Richard A Crosby, Linnea B Linde-Krieger, Benjamin R Brady, Gregory A Carter, Arlene N Mahoney, David Frank, Janet Rothers, Zhanette Coffee, Elana Deuble, Jonathon Ebert, Mary F Jablonsky, Marlena Juarez, Barbara Lee, Heather M Lorenz, Michael D Pava, Kristen Tinsely, Sana Yousaf

JMIR Res Protoc 2025;14:e69829

Impact of an Alert-Based Inpatient Clinical Decision Support Tool to Prevent Drug-Induced Long QT Syndrome: Large-Scale, System-Wide Observational Study

Impact of an Alert-Based Inpatient Clinical Decision Support Tool to Prevent Drug-Induced Long QT Syndrome: Large-Scale, System-Wide Observational Study

The CDS alert system uses a native, rule-based logic system within Epic called the Best Practice Advisory (BPA). To avoid confusion in terminology, we refer to the “BPA” as the specific alert that fires for a given patient with a given culprit medication; we refer to “CDS” as the system as a whole, including those in whom the BPA did not fire due to not meeting criteria.

Katy E Trinkley, Steven T Simon, Michael A Rosenberg

J Med Internet Res 2025;27:e68256

Designing eHealth Interventions for Pediatric Emergency Departments: Protocol for a Usability Testing Study With Youth, Parent, and Clinician Participants

Designing eHealth Interventions for Pediatric Emergency Departments: Protocol for a Usability Testing Study With Youth, Parent, and Clinician Participants

The International Organization for Standardization describes usability as “the extent to which a system, product or service can be used by specified users to achieve specified goals with effectiveness, efficiency and satisfaction in a specified context of use” [1]. Usability testing is a method in which a product is evaluated by users as they perform tasks, and may include formative or summative testing [2].

Mari Somerville, Lori Wozney, Allyson Gallant, Janet A Curran

JMIR Res Protoc 2025;14:e64350

Early Detection of Type 1 Diabetes in First-Degree Relatives in Saudi Arabia (VISION-T1D): Protocol for a Pilot Implementation Study

Early Detection of Type 1 Diabetes in First-Degree Relatives in Saudi Arabia (VISION-T1D): Protocol for a Pilot Implementation Study

To enhance recruitment, a home testing option is provided, allowing families to conveniently perform finger-prick testing and data collection at home. After screening results are available, a research physician reviews the findings. Participants who test positive for islet autoantibodies are invited to a follow-up visit that includes personalized counseling, targeted educational interventions, and additional metabolic staging to determine their T1 D stage.

Iman S Algadi, Yazed AlRuthia, Muhammad H Mujammami, Khaled Hani Aburisheh, Metib Alotaibi, Sharifah Al Issa, Amal A Al-Saif, David Seftel, Cheng-Ting Tsai, Reem A Al Khalifah

JMIR Res Protoc 2025;14:e70575

Identifying Intersecting Factors Associated With Suicidal Thoughts and Behaviors Among Transgender and Gender Diverse Adults: Preliminary Conditional Inference Tree Analysis

Identifying Intersecting Factors Associated With Suicidal Thoughts and Behaviors Among Transgender and Gender Diverse Adults: Preliminary Conditional Inference Tree Analysis

We included 274 TGD participants from the US transgender population health survey (Trans Pop), a national probability sample of gender diverse adults in the United States that was conducted from 2016 to 2018, which is publicly available [57]. Probability sampling approaches were used to enhance diversity and representativeness of the sample [58] (see Krueger et al [59] for further methodological details on the original study).

Amelia M Stanton, Lauren A Trichtinger, Norik Kirakosian, Simon M Li, Katherine E Kabel, Kiyan Irani, Alexandra H Bettis, Conall O’Cleirigh, Richard T Liu, Qimin Liu

J Med Internet Res 2025;27:e65452

Motivation Theories and Constructs in Experimental Studies of Online Instruction: Systematic Review and Directed Content Analysis

Motivation Theories and Constructs in Experimental Studies of Online Instruction: Systematic Review and Directed Content Analysis

For example, medical students completing an online module on a basic science topic may be confident in their ability to learn but struggle to see the value in the material beyond their next examination. Conversely, students completing a virtual examination with a standardized patient may see the value in what they are learning but not feel confident in their ability to succeed.

Adam Gavarkovs, Erin Miller, Jaimie Coleman, Tharsiga Gunasegaran, Rashmi A Kusurkar, Kulamakan Kulasegaram, Melanie Anderson, Ryan Brydges

JMIR Med Educ 2025;11:e64179

Adapting Cognitive Behavioral Therapy for Adolescents in Iraq via Mobile Apps: Qualitative Study of Usability and Outcomes

Adapting Cognitive Behavioral Therapy for Adolescents in Iraq via Mobile Apps: Qualitative Study of Usability and Outcomes

Data saturation—a point where no new themes or insights emerge—can often be achieved with 6‐12 interviews, depending on the study’s scope and participant homogeneity [43]. In this study, combining focus groups and individual interviews ensured a rich dataset that captured a range of perspectives while adhering to the principle of saturation.

Radhwan Hussein Ibrahim, Marghoob Hussein Yaas, Mariwan Qadir Hamarash, Salwa Hazim Al-Mukhtar, Mohammed Faris Abdulghani, Osama Al Mushhadany

JMIR Pediatr Parent 2025;8:e67137

Maternal Metabolic Health and Mother and Baby Health Outcomes (MAMBO): Protocol of a Prospective Observational Study

Maternal Metabolic Health and Mother and Baby Health Outcomes (MAMBO): Protocol of a Prospective Observational Study

The aim of this study is to develop risk calculators that best predict (1) a mother’s risk of having a neonate with abnormal fetal growth (large for gestational age [LGA] or small for gestational age [SGA]); (2) a mother’s risk of having a serious adverse neonatal outcome; and (3) a mother’s risk of developing new metabolic disease after pregnancy (Figure 1).

Sarah A L Price, Digsu N Koye, Alice Lewin, Alison Nankervis, Stefan C Kane

JMIR Res Protoc 2025;14:e72542

Comparison of Deep Learning Approaches Using Chest Radiographs for Predicting Clinical Deterioration: Retrospective Observational Study

Comparison of Deep Learning Approaches Using Chest Radiographs for Predicting Clinical Deterioration: Retrospective Observational Study

A total of 258,621 admissions occurred during the study period, and 92,845 had an elevated e CART score. Of these, for 21,817 admissions, a chest radiograph was obtained within 48 hours of the time of the elevated score and was included in the analysis (Figure 1). The characteristics of the final cohort are presented in Table 1. The patients in the final cohort had a median age of 63 (IQR 52-74) years, with a higher likelihood of being male (56.1%, 12,249/21,817); 5.7% were black (1252/21,187).

Mahmudur Rahman, Jifan Gao, Kyle A Carey, Dana P Edelson, Askar Afshar, John W Garrett, Guanhua Chen, Majid Afshar, Matthew M Churpek

JMIR AI 2025;4:e67144