Automated Process for Monitoring of Amiodarone Treatment: Development and Evaluation.
Birgitta I Johansson1,2, Jonas Landahl3, Karin Tammelin1,4,5,6
1Department of Molecular and Clinical Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Journal of Medical Internet Research
|February 19, 2025
Summary
A new robot automates laboratory testing for amiodarone (a heart medication) follow-up, improving side effect detection and potentially reducing testing frequency. This automated system offers a reliable alternative to manual processes for patient monitoring.
Area of Science:
- Clinical Informatics
- Medical Automation
- Pharmacovigilance
Background:
- Amiodarone treatment necessitates regular thyroid and liver function tests due to potential adverse effects.
- Robotic process automation (RPA) can streamline repetitive clinical tasks, including laboratory evaluations.
Purpose of the Study:
- To develop an automated robot utilizing a diagnostic classification algorithm for amiodarone follow-up laboratory testing.
- To enhance efficiency and accuracy in monitoring patients on amiodarone therapy.
Main Methods:
- A robot and clinical decision support system were designed based on expert advice and best practices.
- The system provided recommendations for laboratory testing intervals and management, with physician oversight (human-in-the-loop).
- Robot performance was compared against the existing manual follow-up process.
Main Results:
- The robot recommended a mean follow-up interval of 4.5 months versus 3.1 months by physicians (P<.001).
- For normal labs, the robot suggested 6-month follow-up (72.1%) vs. physicians' 3-4 month intervals (58.2%).
- The robot correctly identified all 12 new side effects, while physicians identified only 8.
Conclusions:
- An automated robotic system with a diagnostic algorithm is a reliable alternative for amiodarone follow-up.
- This automation can reduce manual workload, decrease testing frequency, and improve side effect detection.
- The system offers potential cost reductions and enhanced patient value through improved monitoring.
Keywords:
algorithmamiodarone treatmentanti-arrhythmicanti-arrhythmic medicationarrhythmiaatrial fibrillationautomated processautomationcardiac dysrhythmiasclinical decision support systemdecision supportdevelopmentdisease managementevaluationfollow-up studiesheartlivermonitoringrobotroboticsside effectsthyroidthyroid functionthyroid glandventricular fibrillationventricular tachycardia
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