Taking a closer look: Can an app improve diagnostic accuracy in urgent care? Cluster-randomized interventional trial DASI

In urgent care settings, efficient medical history-taking is paramount for making timely and accurate treatment decisions. Medical history-taking apps have emerged as a means to streamline this process but their effectiveness in enhancing diagnostic accuracy remains unclear. We aimed to investigate whether using a medical history-taking app before consultation improves diagnostic accuracy. In two German out-of-hours practices (OOHP), patients were recruited over a 12-months period. Within each practice, weeks were randomized to either an intervention or control group, resulting in a cluster-randomized trial (CRT) with clustering in weeks within the same practice. Patients in the intervention group used an app to report their complaints before their consultation, enabling physicians to review their medical history details beforehand. In contrast, patients in the control group used the app after their consultation, and no summary of their medical history was available to the physician. Diagnostic accuracy was defined as the agreement between the OOHP physician's diagnoses and those determined by an expert committee (EC) after reviewing patient files. As a secondary outcome, we compared OOHP and EC physicians' treatment recommendations against patients' self-reported actual treatment (e.g., specialist care, hospital admissions) from a follow-up survey. We analyzed data from 986 patients and found no significant intervention effect on diagnostic accuracy (Odds Ratio 0.94 (95%CI 0.73 - 1.21), 57.6% in intervention vs 59.1% in control group). Additionally, the app had no significant effect on the prediction of further treatment. The only significant factors affecting these outcomes were the number of diagnoses (positively associated with diagnostic accuracy) and a self-reported severe condition (associated with higher likelihood of requiring further treatment). Individual differences between physicians were more pronounced than those between the intervention and control group for the secondary outcome. The study's findings suggest that this medical history-taking app does not enhance diagnostic accuracy in urgent care settings.

Authors

Institutions

Publication Details

Journal
PLOS Digital Health
Published
2026-02-24
DOI
https://doi.org/10.1371/journal.pdig.0001252
Primary Topic
Clinical Reasoning and Diagnostic Skills
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Taking a closer look: Can an app improve diagnostic accuracy in urgent care? Cluster-randomized interventional trial DASI

Kai Antweiler, Lea Roddewig, Eva Maria Noack, Dominik Schröder et al.
PLOS Digital Health
Clinical Reasoning and Diagnostic Skills
article

Taking a closer look: Can an app improve diagnostic accuracy in urgent care? Cluster-randomized interventional trial DASI

Kai Antweiler, Lea Roddewig, Eva Maria Noack, Dominik Schröder, Tim Friede, Frank Müller, Tobias Schmidt, Eva Hummers
article en

Abstract

In urgent care settings, efficient medical history-taking is paramount for making timely and accurate treatment decisions. Medical history-taking apps have emerged as a means to streamline this process but their effectiveness in enhancing diagnostic accuracy remains unclear. We aimed to investigate whether using a medical history-taking app before consultation improves diagnostic accuracy. In two German out-of-hours practices (OOHP), patients were recruited over a 12-months period. Within each practice, weeks were randomized to either an intervention or control group, resulting in a cluster-randomized trial (CRT) with clustering in weeks within the same practice. Patients in the intervention group used an app to report their complaints before their consultation, enabling physicians to review their medical history details beforehand. In contrast, patients in the control group used the app after their consultation, and no summary of their medical history was available to the physician. Diagnostic accuracy was defined as the agreement between the OOHP physician's diagnoses and those determined by an expert committee (EC) after reviewing patient files. As a secondary outcome, we compared OOHP and EC physicians' treatment recommendations against patients' self-reported actual treatment (e.g., specialist care, hospital admissions) from a follow-up survey. We analyzed data from 986 patients and found no significant intervention effect on diagnostic accuracy (Odds Ratio 0.94 (95%CI 0.73 - 1.21), 57.6% in intervention vs 59.1% in control group). Additionally, the app had no significant effect on the prediction of further treatment. The only significant factors affecting these outcomes were the number of diagnoses (positively associated with diagnostic accuracy) and a self-reported severe condition (associated with higher likelihood of requiring further treatment). Individual differences between physicians were more pronounced than those between the intervention and control group for the secondary outcome. The study's findings suggest that this medical history-taking app does not enhance diagnostic accuracy in urgent care settings.

PLOS Digital HealthVol. 5(2)
MSH Medical School Hamburg – University of Applied Sciences and Medical University (DE), Universitätsmedizin Göttingen (DE), University of Göttingen (DE), Michigan State University (US)
Peace, Justice and strong institutions
Openalex Percentile: Top 47%
Clinical Reasoning and Diagnostic Skills
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.