Distributed, collaborative intelligent agents for proactive post-marketing drug safety surveillance

Yanqing Ji, Hao Ying, Margo S. Farber, John Yen, Peter Dews, Richard E. Miller, R. Michael Massanari

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

Healthcare systems and insurers nationwide regularly make decisions regarding which drugs to include or exclude from their formularies based on evidence concerning benefits, risks, and costs of the medications. A major barrier to effective drug selection is the lack of sufficient published information on the safety of drugs, particularly new drugs. In this paper, we propose an innovative multi-agent system, named ADRMonitor, for actively monitoring and detecting signal pairs implicating anticipated or potential adverse drug reactions (ADRs) of interest at a healthcare facility. Each intelligent agent is empowered by a fuzzy logic-based computational recognition-primed decision (RPD) model where fuzzy logic is utilized to represent, interpret, and compute vague and/or subjective information. We conducted a simulation study based on thousands of hypothetical patient cases that were created on the basis of real patients who were prescribed the drug Cisapride in a local hospital. At the current stage, our focus is to establish that the system can outperform the spontaneous reporting approach in identifying signal pairs. Under certain conditions (e.g., without agent collaboration), our simulation results show that 1) ADRMonitor detected 21 out of 27 (78%) ADRs when the optimized RPD model was used as a gold standard; 2) the number of ADRs detected by the agents is (many) more than those detected by the spontaneous reporting strategy (assuming 10% reporting rate - high end of rates reported in the literature) at any particular time. The second result implies that useful information could be collected more timely by the proposed agent system for formulary decisions.

Original languageEnglish (US)
Title of host publicationNAFIPS 2007
Subtitle of host publication2007 Annual Meeting of the North American Fuzzy Information Processing Society
Pages158-163
Number of pages6
DOIs
StatePublished - Oct 12 2007
EventNAFIPS 2007: 2007 Annual Meeting of the North American Fuzzy Information Processing Society - San Diego, CA, United States
Duration: Jun 24 2007Jun 27 2007

Publication series

NameAnnual Conference of the North American Fuzzy Information Processing Society - NAFIPS

Other

OtherNAFIPS 2007: 2007 Annual Meeting of the North American Fuzzy Information Processing Society
CountryUnited States
CitySan Diego, CA
Period6/24/076/27/07

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Mathematics(all)

Fingerprint Dive into the research topics of 'Distributed, collaborative intelligent agents for proactive post-marketing drug safety surveillance'. Together they form a unique fingerprint.

  • Cite this

    Ji, Y., Ying, H., Farber, M. S., Yen, J., Dews, P., Miller, R. E., & Massanari, R. M. (2007). Distributed, collaborative intelligent agents for proactive post-marketing drug safety surveillance. In NAFIPS 2007: 2007 Annual Meeting of the North American Fuzzy Information Processing Society (pp. 158-163). [4271052] (Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS). https://doi.org/10.1109/NAFIPS.2007.383829