SmartState: An Automated Research Protocol Adherence System
Fuente:
arXiv
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| Autori principali: | , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2023
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| Soggetti: | |
| Accesso online: | |
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| _version_ | 1866915114613997568 |
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| author | Armstrong, Samuel E. Klusty, Mitchell A. Mullen, Aaron D. Talbert, Jeffery C. Bumgardner, V. K. Cody |
| author_facet | Armstrong, Samuel E. Klusty, Mitchell A. Mullen, Aaron D. Talbert, Jeffery C. Bumgardner, V. K. Cody |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2305_04411 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | SmartState: An Automated Research Protocol Adherence System Armstrong, Samuel E. Klusty, Mitchell A. Mullen, Aaron D. Talbert, Jeffery C. Bumgardner, V. K. Cody Human-Computer Interaction 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. |
| title | SmartState: An Automated Research Protocol Adherence System |
| topic | Human-Computer Interaction |
| url | https://arxiv.org/abs/2305.04411 |