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Chatbot for the Return of Positive Genetic Screening Results for Hereditary Cancer Syndromes: Prompt Engineering Project

Chatbot for the Return of Positive Genetic Screening Results for Hereditary Cancer Syndromes: Prompt Engineering Project

The objectives of the present project were to (1) prompt engineer an LLM-based chatbot focused on answering questions about the return of positive PGS results, and (2) conduct an intrinsic evaluation of the prompt engineering approach based on hypothetical cases and expert raters. This viewpoint paper offers insight into the application of specific prompt engineering methods to create patient-facing chatbots in the hereditary cancer diagnostic process.

Emma Coen, Guilherme Del Fiol, Kimberly A Kaphingst, Emerson Borsato, Jackilen Shannon, Hadley Smith, Aaron Masino, Caitlin G Allen

JMIR Cancer 2025;11:e65848

Usability Testing of a Digitized Interventional Prehabilitation Tool for Health Care Professionals and Patients Before Major Surgeries: Formative and Summative Evaluation

Usability Testing of a Digitized Interventional Prehabilitation Tool for Health Care Professionals and Patients Before Major Surgeries: Formative and Summative Evaluation

With this approach, we follow a strict usability engineering process required by the MDR and as defined in DIN ISO 62366:2017. We were able to design a “safety by design” interface that avoids errors and hazardous situations and tested those scenarios in this clinical investigation. To date, the workflow of the pathway seems to be logical and without any dead ends and complicated usability issues.

Andreas A Schnitzbauer, Charlotte Detemble, Sara Fatima Faqar-Uz-Zaman, Julia Dreilich, Lisa Mohr, Svenja Sliwinski, Dora Zmuc, Mark Siller, Johannes Fleckenstein

JMIR Form Res 2024;8:e59513

Designing Human-Centered AI to Prevent Medication Dispensing Errors: Focus Group Study With Pharmacists

Designing Human-Centered AI to Prevent Medication Dispensing Errors: Focus Group Study With Pharmacists

The Systems Engineering Initiative for Patient Safety (SEIPS) 3.0 and the Human-Machine Team (HMT) theoretical frameworks may guide researchers to design systems that integrate AI with human expertise. The SEIPS model, grounded in the principles of human-centered systems engineering, commonly known as human factors and ergonomics, paints a comprehensive picture of how work systems influence health-related outcomes.

Yifan Zheng, Brigid Rowell, Qiyuan Chen, Jin Yong Kim, Raed Al Kontar, X Jessie Yang, Corey A Lester

JMIR Form Res 2023;7:e51921

Prompt Engineering as an Important Emerging Skill for Medical Professionals: Tutorial

Prompt Engineering as an Important Emerging Skill for Medical Professionals: Tutorial

Thus, a new, essential skill has emerged: prompt engineering. Prompt engineering is a relatively new field of research that refers to the practice of designing, refining, and implementing prompts or instructions that guide the output of LLMs to help in various tasks. It is essentially the practice of effectively interacting with AI systems to optimize their benefits.

Bertalan Meskó

J Med Internet Res 2023;25:e50638

Reliable Deep Learning–Based Detection of Misplaced Chest Electrodes During Electrocardiogram Recording: Algorithm Development and Validation

Reliable Deep Learning–Based Detection of Misplaced Chest Electrodes During Electrocardiogram Recording: Algorithm Development and Validation

The data pipeline of this study using 3 phases (data engineering, analytics, and delivery). (a) The data engineering phase that includes data collection (extracting electrocardiograms from body surface potential maps) and data preparation (removing noise from extracted data).

Khaled Rjoob, Raymond Bond, Dewar Finlay, Victoria McGilligan, Stephen J Leslie, Ali Rababah, Aleeha Iftikhar, Daniel Guldenring, Charles Knoery, Anne McShane, Aaron Peace

JMIR Med Inform 2021;9(4):e25347

Influence of Scanner Precision and Analysis Software in Quantifying Three-Dimensional Intraoral Changes: Two-Factor Factorial Experimental Design

Influence of Scanner Precision and Analysis Software in Quantifying Three-Dimensional Intraoral Changes: Two-Factor Factorial Experimental Design

As directly scanning teeth with lab-based profilometers has not been possible, scans of molds of the teeth have been aligned and compared using custom-built or commercial engineering software to quantify changes. Data capture is typically very accurate with this approach, and small process errors have been calculated to be in the range of 15 microns [6,7].

Saoirse O'Toole, David Bartlett, Andrew Keeling, John McBride, Eduardo Bernabe, Luuk Crins, Bas Loomans

J Med Internet Res 2020;22(11):e17150

Development and Implementation of a Mobile Phone–Based Prevention of Mother-To-Child Transmission of HIV Cascade Analysis Tool: Usability and Feasibility Testing in Kenya and Mozambique

Development and Implementation of a Mobile Phone–Based Prevention of Mother-To-Child Transmission of HIV Cascade Analysis Tool: Usability and Feasibility Testing in Kenya and Mozambique

The systems analysis and improvement approach (SAIA) is a 5-step process using systems engineering theory to guide facility-level staff and managers to maximize effectiveness of PMTCT services [26]. The first step is to improve the understanding of the inefficiencies by conducting a cascade analysis using the PMTCT cascade analysis tool (PCAT), which provides a systems-level view to track patient flow through the PMTCT cascade.

Nami Kawakyu, Ruth Nduati, Khátia Munguambe, Joana Coutinho, Nancy Mburu, Georgina DeCastro, Celso Inguane, Andrew Zunt, Neil Abburi, Kenneth Sherr, Sarah Gimbel

JMIR Mhealth Uhealth 2019;7(5):e13963