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Updated: Feb 11, 2026

Development of a Mobile Mitochondrial Physiology Laboratory for Measuring Mitochondrial Energetics in the Field
Published on: August 27, 2021
Evaluating a mobile application for improving clinical laboratory test ordering and diagnosis.
Ashley N D Meyer1, Pamela J Thompson2, Arushi Khanna1
1Center for Innovations in Quality, Effectiveness and Safety, Michael E. DeBakey Veterans Affairs Medical Center and Department of Medicine, Baylor College of Medicine, Houston, Texas, USA.
A mobile app, PTT Advisor, improved physicians' test ordering and diagnostic accuracy compared to usual methods. Physicians found the app useful for learning and clinical decision-making, suggesting broader applications.
Area of Science:
- Medical Informatics
- Clinical Decision Support
- Health Services Research
Background:
- Mobile applications for clinical decision support often lack rigorous evaluation.
- Effective diagnostic decision-making tools are crucial for improving patient care.
Purpose of the Study:
- To evaluate the impact of a mobile application, PTT Advisor, on generalist physicians' laboratory test ordering and diagnosis decisions.
- To assess physicians' perceptions of the app's utility as a learning tool.
Main Methods:
- An experimental vignette study involving 46 physicians across 7 US healthcare institutions.
- Physicians diagnosed 8 patient vignettes (normal PT, abnormal PTT) using either PTT Advisor or usual clinical decision support.
- Perceptions of usefulness were assessed using a modified Kirkpatrick Training Evaluation Framework.
Main Results:
- PTT Advisor use was associated with significantly higher diagnostic accuracy (82.6% vs 70.2%) and confidence (7.5 vs 6.3/10).
- Vignette completion time was reduced with PTT Advisor (3:02 vs 3:53 min).
- Physicians reported positive perceptions of the app's potential for improving clinical decision-making.
Conclusions:
- The PTT Advisor mobile application may enhance diagnostic accuracy and serve as a valuable learning tool for physicians.
- The study suggests similar evaluation methods can be applied to other diagnostic support applications.
- Improved diagnostic processes facilitated by mobile apps hold potential for better patient outcomes.
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