SmartState: An Automated Research Protocol Adherence System
- PMID: 40502224
- PMCID: PMC12150725
SmartState: An Automated Research Protocol Adherence System
Abstract
Developing and enforcing study protocols is crucial in medical research, especially as interactions with participants become more intricate. Traditional rules-based systems struggle to provide the automation and flexibility required for real-time, personalized data collection. We introduce SmartState, a state-based system designed to act as a personal agent for each participant, continuously managing and tracking their unique interactions. Unlike traditional reporting systems, SmartState enables real-time, automated data collection with minimal oversight. By integrating large language models to distill conversations into structured data, SmartState reduces errors and safeguards data integrity through built-in protocol and participant auditing. We demonstrate its utility in research trials involving time-dependent participant interactions, addressing the increasing need for reliable automation in complex clinical studies.
©2025 AMIA - All rights reserved.
Figures






References
-
- NCATS Strategic Plan for 2025-2030 [Internet] National Institutes of Health. 2024 [cited 2024 Sept 17] Available from: https://ncats.nih.gov/sites/default/files/2024-09/NCATS-Strategic-Plan-2... .
-
- De Micheli G, Brayton R, Sangiovanni-Vincentelli A. Optimal State assignment for Finite State Machines. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 1985 Jul;4(3):269–85. doi:10.1109/tcad.1985.1270123.
-
- Foukarakis M, Leonidis A, Antona M, Stephanidis C. Combining finite state machine and decision-making tools for adaptable robot behavior. Lecture Notes in Computer Science. 2014:625–35. doi:10.1007/978-3-319-07446-7_60.
-
- Sai Vandana S, Abinandhan K, Ramesh S. Implementation of smart home using Finite State Machine Model. 2022 7th International Conference on Communication and Electronics Systems (ICCES) 2022 Jun 22:45–9. doi:10.1109/icces54183.2022.9835949.
-
- Bae S-H, Joo S-H, Pyo J-W, Yoon J-S, Lee K, Kuc T-Y. Finite State Machine based vehicle system for autonomous driving in Urban Environments. 2020 20th International Conference on Control, Automation and Systems (ICCAS) 2020 Oct 13;84:1181–6. doi:10.23919/iccas50221.2020.9268341.
Grants and funding
LinkOut - more resources
Full Text Sources