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Oncology Clinicians' Perspectives of a Remote Patient Monitoring Program: Multi-Modal Case Study Approach

Oncology Clinicians' Perspectives of a Remote Patient Monitoring Program: Multi-Modal Case Study Approach

Can you describe your workflow and the technology systems used in your daily work activities? Can you describe the workflow, and the systems used when providing care? How does the RPM fit into the care workflow? What are the strengths/barriers to using RPM from the nursing perspective? What are the strengths/barriers to using RPM from the patient’s perspective? Do you think RPM is valuable: to nurses the patients?

Ann Marie Mazzella-Ebstein, Robert Daly, Jennie Huang, Camila Bernal, Clare Wilhelm, Katherine S Panageas, Jessie Holland, Rori Salvaggio, Jill Ackerman, Jennifer Cracchiolo, Gilad Kuperman, Jun Mao, Aaron Begue, Margaret Barton-Burke

JMIR Hum Factors 2025;12:e60585

In Silico Evaluation of Algorithm-Based Clinical Decision Support Systems: Protocol for a Scoping Review

In Silico Evaluation of Algorithm-Based Clinical Decision Support Systems: Protocol for a Scoping Review

This scoping review endeavors to synthesize existing knowledge on the in silico evaluation of algorithm-based CDS systems via clinical workflow simulation methods. High-fidelity workflow simulations offer a pragmatic solution by allowing in silico replication of clinical processes, predicting the behavior of systems, and assessing the potential impacts of new models without risking patient safety or disrupting existing services [46].

Michael Dorosan, Ya-Lin Chen, Qingyuan Zhuang, Shao Wei Sean Lam

JMIR Res Protoc 2025;14:e63875

Current State of Community-Driven Radiological AI Deployment in Medical Imaging

Current State of Community-Driven Radiological AI Deployment in Medical Imaging

Understanding the systems that make up a given workflow is the first step when considering AI integration touchpoints. The interoperability of health care systems is critical in the delivery of good patient care, but adding new applications into a complex workflow can be challenging if the interfaces between systems are not well understood. AI integration into the workflow must leverage interoperability with existing systems to be effective.

Vikash Gupta, Barbaros Erdal, Carolina Ramirez, Ralf Floca, Bradley Genereaux, Sidney Bryson, Christopher Bridge, Jens Kleesiek, Felix Nensa, Rickmer Braren, Khaled Younis, Tobias Penzkofer, Andreas Michael Bucher, Ming Melvin Qin, Gigon Bae, Hyeonhoon Lee, M Jorge Cardoso, Sebastien Ourselin, Eric Kerfoot, Rahul Choudhury, Richard D White, Tessa Cook, David Bericat, Matthew Lungren, Risto Haukioja, Haris Shuaib

JMIR AI 2024;3:e55833

Improving Vaccine Clinic Efficiency Through the CANImmunize Platform

Improving Vaccine Clinic Efficiency Through the CANImmunize Platform

Our objective was to evaluate the CANImmunize product and measure the impact on workflow and appointment booking. We implemented CANImmunize between November 2020 and April 2021 at Bruyère Hospital in Ottawa, Ontario. We offered vaccination appointments to staff, their families, and Bruyère Academic Family Health Team primary care clinic patients. All staff and patients were sent information about how to download the app, create an account, and sign up for an appointment.

Ananda Kuatsidzo, Kumanan Wilson, Sydney Ruller, Blake Daly, Roland Halil, Daniel Kobewka

Online J Public Health Inform 2024;16:e53226

Hospital Staff Perspectives on the Drivers and Challenges in Implementing a Virtual Rehabilitation Ward: Qualitative Study

Hospital Staff Perspectives on the Drivers and Challenges in Implementing a Virtual Rehabilitation Ward: Qualitative Study

The transition to virtual care posed workflow and responsibility challenges, highlighting the need for staff training and support. Ambiguity surrounding the service’s identity and referral processes impacted resource allocation and patient expectations. Challenges in patient transfer and continuity of care were observed, along with resistance to hospital readmission and overcrowded emergency departments.

Leanne Greene, Miia Rahja, Kate Laver, Vun Vun Wong, Chris Leung, Maria Crotty

JMIR Aging 2024;7:e54774

Use of Mobile Technologies to Streamline Pretriage Patient Flow in the Emergency Department: Observational Usability Study

Use of Mobile Technologies to Streamline Pretriage Patient Flow in the Emergency Department: Observational Usability Study

The workflow was broken down into five different steps (Table 1). For kiosks, patients swipe their health cards on the front end for registration and present a paper document with a barcode to a triage nurse. After scanning the code with a hand-held device, the nurse quickly finds the record and then updates it with an acuity level based on the “quick-lookup” result [30-32]. For smartphone users, We Chat is used to scan a QR code at the front end.

Panzhang Wang, Lei Yu, Tao Li, Liang Zhou, Xin Ma

JMIR Mhealth Uhealth 2024;12:e54642

A Team-Based Training for Continuous Glucose Monitoring in Diabetes Care: Mixed Methods Pilot Implementation Study in Primary Care Practices

A Team-Based Training for Continuous Glucose Monitoring in Diabetes Care: Mixed Methods Pilot Implementation Study in Primary Care Practices

Association Standards of Medical Care in Diabetes Case studies Identifying patients who may benefit from CGM Patient CGM identification tool (handout) Perceived benefits and burdens of CGM scales (surveys) Educating patients about CGM Shared decision-making Interpreting CGM data and reports Using CGM to inform treatment adjustments Case examples Components of a continuous glucose monitor (handout) Patient-facing Diabetes Wise.org website guide (handout) Key CGM measures (handout) Patient-facing handout Practice workflow

Melissa K Filippi, Angela M Lanigan, Sean M Oser, Jillian Alai, Alicia Brooks-Greisen, Tamara K Oser

JMIR Form Res 2023;7:e45189