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Alert Reduction and Telemonitoring Process Optimization for Improving Efficiency in Remote Patient Monitoring Programs: Framework Development Study

Alert Reduction and Telemonitoring Process Optimization for Improving Efficiency in Remote Patient Monitoring Programs: Framework Development Study

These health data [8] ideally generate as few alerts as possible, and a clinical consequence is attached to each generated alert. However, in practice, alert triggering and processing are not perfect yet.

Job van Steenkiste, Niki Lupgens, Martijn Kool, Daan Dohmen, Iris Verberk-Jonkers

JMIR Med Inform 2025;13:e66066

Implementing Diabetes Distress Screening in a Pediatric Endocrinology Clinic Using a Digital Health Platform: Quantitative Secondary Data Analysis

Implementing Diabetes Distress Screening in a Pediatric Endocrinology Clinic Using a Digital Health Platform: Quantitative Secondary Data Analysis

Eventually, to automate the process more fully, the clinic technology team built a best practice alert (BPA) into the EHR so that clinical providers associated with an upcoming visit and the diabetes psychologist would receive an automated alert flag for elevated DD scores.

Nicole A Kahhan, Larry A Fox, Matthew Benson, Susana R Patton

JMIR Pediatr Parent 2025;8:e65107

The Trifecta of Industry, Academic, and Health System Partnership to Improve Mental Health Care Through Smartphone-Based Remote Patient Monitoring: Development and Usability Study

The Trifecta of Industry, Academic, and Health System Partnership to Improve Mental Health Care Through Smartphone-Based Remote Patient Monitoring: Development and Usability Study

This collaborative team reports the results of the EHR integration, results of the feasibility testing of the urgent and emergent alert algorithms, effectiveness of the 24/7 virtual patient monitoring system, user acceptability in terms of both patient use of and satisfaction with Rhythms, and provider impressions of the impact of Rhythms on patient care.

C Neill Epperson, Rachel Davis, Allison Dempsey, Heinrich C Haller, David J Kupfer, Tiffany Love, Pamela M Villarreal, Mark Matthews, Susan L Moore, Kimberly Muller, Christopher D Schneck, Jessica L Scott, Richard D Zane, Ellen Frank

JMIR Form Res 2025;9:e57624

An Ontology-Based Approach to Improving Medication Appropriateness in Older Patients: Algorithm Development and Validation Study

An Ontology-Based Approach to Improving Medication Appropriateness in Older Patients: Algorithm Development and Validation Study

Formal testing was performed to demonstrate that the new version of the ontology-driven alert module met functional requirements. In addition, clinical pharmacists performed manual testing in a control environment (the SAP quality assurance server) to evaluate whether the alert module functioned properly when generating the prescribing alerts.

Elena Calvo-Cidoncha, Julián Verdinelli, Javier González-Bueno, Alfonso López-Soto, Concepción Camacho Hernando, Xavier Pastor-Duran, Carles Codina-Jané, Raimundo Lozano-Rubí

JMIR Med Inform 2023;11:e45850

Hospital-Level Implementation Barriers, Facilitators, and Willingness to Use a New Regional Disaster Teleconsultation System: Cross-Sectional Survey Study

Hospital-Level Implementation Barriers, Facilitators, and Willingness to Use a New Regional Disaster Teleconsultation System: Cross-Sectional Survey Study

Overall and by-state comparison of mechanisms by which New England hospitals and emergency departments are notified of large-scale or state-wide no-notice emergency events. a EMS: emergency medical service. b“Other” includes receiving notifications from a dedicated third party, internal notification system, national alert network such as from Centers for Disease Control, and so forth.

Tehnaz Boyle, Krislyn Boggs, Jingya Gao, Maureen McMahon, Rachel Bedenbaugh, Lauren Schmidt, Kori Sauser Zachrison, Eric Goralnick, Paul Biddinger, Carlos A Camargo Jr

JMIR Public Health Surveill 2023;9:e44164

Behavioral Predictors of Intention to Use a Text Messaging Reminder System Among People Living With HIV in Rural Uganda: Survey Study

Behavioral Predictors of Intention to Use a Text Messaging Reminder System Among People Living With HIV in Rural Uganda: Survey Study

In a previous qualitative study of people living with HIV in rural Uganda, we examined user attitudes toward an SMS text message notification sent to alert patients with low CD4 counts and to recall them to the clinic to initiate antiretroviral therapy (ART). On the basis of this investigation, we developed the Technology Acceptance Model for Resource-Limited Settings [17].

Jeffrey I Campbell, Isaac Aturinda, Evans Mwesigwa, Annabella Habinka, Michael Kanyesigye, Richard J Holden, Mark J Siedner, John D Kraemer

JMIR Hum Factors 2023;10:e42952

Real-world Implementation of an eHealth System Based on Artificial Intelligence Designed to Predict and Reduce Emergency Department Visits by Older Adults: Pragmatic Trial

Real-world Implementation of an eHealth System Based on Artificial Intelligence Designed to Predict and Reduce Emergency Department Visits by Older Adults: Pragmatic Trial

Particularly, when the algorithm predicted a high-risk level, an alert was displayed in the form of a notification on the screen to the coordinating nurse of the health care network center of the district (Dispositif d’Appui à la Coordination of the Agence Régionale de Santé).

Joël Belmin, Patrick Villani, Mathias Gay, Stéphane Fabries, Charlotte Havreng-Théry, Stéphanie Malvoisin, Fabrice Denis, Jacques-Henri Veyron

J Med Internet Res 2022;24(9):e40387