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How to Improve Pancreatic Cancer Network Care Using a Human-Centered Design Sprint

How to Improve Pancreatic Cancer Network Care Using a Human-Centered Design Sprint

Four elements of the solution sketches Envisioned patient journey of a patient diagnosed and treated with pancreatic cancer in a pancreatic cancer network (From left to right). Prototype of “CONNECT”, an open-source community dashboard that enables real-time insight in patient information and the patient trajectory throughout the network. The prototype was developed and was tested by the intended users.

Jana S Hopstaken, Mats Koeneman, Robin Hooijer, Concha C van Rijssel, Theo van Voorthuizen, Frank A Oort, Charlotte F J M Blanken, Martijn de Groot, Cees J H M van Laarhoven, Martijn W J Stommel

J Med Internet Res 2025;27:e55598


Medical Expert Knowledge Meets AI to Enhance Symptom Checker Performance for Rare Disease Identification in Fabry Disease: Mixed Methods Study

Medical Expert Knowledge Meets AI to Enhance Symptom Checker Performance for Rare Disease Identification in Fabry Disease: Mixed Methods Study

This objective focused on determining whether the integration of guided interviews, in combination with literature review, results in improved diagnostic accuracy and patient satisfaction compared to models based solely on literature review. This mixed methods prospective pilot study was approved by the ethics committee of Hannover Medical School, Germany (10363_BO_K_2022), with patient enrollment between May 2022 and June 2023.

Anne Pankow, Nico Meißner-Bendzko, Jessica Kaufeld, Laura Fouquette, Fabienne Cotte, Stephen Gilbert, Ewelina Türk, Anibh Das, Christoph Terkamp, Gerhard-Rüdiger Burmester, Annette Doris Wagner

JMIR AI 2025;4:e55001


Patients’ Perceptions of Artificial Intelligence Acceptance, Challenges, and Use in Medical Care: Qualitative Study

Patients’ Perceptions of Artificial Intelligence Acceptance, Challenges, and Use in Medical Care: Qualitative Study

In addition, specific patient populations, including outpatients, older or chronically ill patients, and those from lower socioeconomic backgrounds, have been understudied [32,38,39]. To our knowledge, there has been no study that included these patient groups and used focus groups to explore general perceptions of AI in medical care.

Jana Gundlack, Carolin Thiel, Sarah Negash, Charlotte Buch, Timo Apfelbacher, Kathleen Denny, Jan Christoph, Rafael Mikolajczyk, Susanne Unverzagt, Thomas Frese

J Med Internet Res 2025;27:e70487


Low Earth Orbit Communication Satellites: A Positively Disruptive Technology That Could Change the Delivery of Health Care in Rural and Northern Canada

Low Earth Orbit Communication Satellites: A Positively Disruptive Technology That Could Change the Delivery of Health Care in Rural and Northern Canada

The current solution to providing health care in these remote locations has been to transport the patient to the health care provider or vice versa, which incurs considerable financial strain on our health care system and personal stress to the patient and provider. One of the most stressful concerns is the danger and futility of unnecessary transport and the higher crash rates of medical evacuation flights [9].

Douglas Hamilton, Sandeep (Sonny) S Kohli, Paul McBeth, Randy Moore, Keltie Hamilton, Andrew W Kirkpatrick

J Med Internet Res 2025;27:e46113


A Smartphone App Self-Management Program for Chronic Obstructive Pulmonary Disease: Randomized Controlled Trial of Clinical Outcomes

A Smartphone App Self-Management Program for Chronic Obstructive Pulmonary Disease: Randomized Controlled Trial of Clinical Outcomes

However, these studies [15-28] have issues with heterogeneity among interventions used, consistency of their application, patient population specifics, duration of studies, and outcome measures. In addition, studies have suggested that support from a third party, such as a health care professional may improve engagement levels [16,21,23,24,28].

Lisa Glynn, Eddie Moloney, Stephen Lane, Emma McNally, Carol Buckley, Margaret McCann, Catherine McCabe

JMIR Mhealth Uhealth 2025;13:e56318


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

The early detection of patient deterioration and timely intervention can improve patient outcomes [2]. Various early warning scores (EWS) have been developed to identify the deterioration risk by monitoring different clinical variables, and the implementation of machine-learning EWS, such as the electronic cardiac arrest risk triage (e CART) score, has been associated with improved mortality [3-6].

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


Media Framing and Portrayals of Ransomware Impacts on Informatics, Employees, and Patients: Systematic Media Literature Review

Media Framing and Portrayals of Ransomware Impacts on Informatics, Employees, and Patients: Systematic Media Literature Review

In 2019, an Alabama hospital was locked out of its computers for 8 days, unable to access patient records, locate staff, or monitor fetal heartbeats, cutting doctors and nurses off from critical patient information, equipment, and resources [8].

Atiya Avery, Elizabeth White Baker, Brittany Wright, Ishmael Avery, Dream Gomez

J Med Internet Res 2025;27:e59231


Infoveillance of COVID-19 Infections in Dentistry Using Platform X: Descriptive Study

Infoveillance of COVID-19 Infections in Dentistry Using Platform X: Descriptive Study

Since the API makes it possible to construct queries up to 1024 characters, we were able to search using long queries where we tried to include all possible keywords used in dental care, for example, dental hygienist, dental therapist, dental nurse, or dentist patient, to name a few. 

Alghalia Al-Mansoori, Ola Al Hayk, Sharifa Qassmi, Sarah M Aziz, Fatima Haouari, Tawanda Chivese, Faleh Tamimi, Alaa Daud

J Med Internet Res 2025;27:e54650


Patient Acceptability and Technical Reliability of Wearable Devices Used for Monitoring People With Parkinson Disease: Survey Study

Patient Acceptability and Technical Reliability of Wearable Devices Used for Monitoring People With Parkinson Disease: Survey Study

However, the use of patient- and clinician-rated scales is resource-intensive, and the results limited by subjectivity and inaccuracy and are either one-off assessments or dependent on the patient’s recollection [3]. Continuous and accurate assessment of PD features, in both clinical practice and trials, would provide more relevant information and overcome the limitations of clinical scales and questionnaires through real-world data.

Tasmin Alanna Rookes, Amit Batla, Megan Armstrong, Gareth Ambler, Kate Walters, Anette Schrag

JMIR Form Res 2025;9:e63704