Lawrence M. Fagan

ORCID: 0000-0003-2162-9628
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Semantic Web and Ontologies
  • Biomedical Text Mining and Ontologies
  • AI-based Problem Solving and Planning
  • Electronic Health Records Systems
  • Topic Modeling
  • Speech and dialogue systems
  • Machine Learning in Healthcare
  • Bayesian Modeling and Causal Inference
  • Health Sciences Research and Education
  • Healthcare Technology and Patient Monitoring
  • Natural Language Processing Techniques
  • Advanced Database Systems and Queries
  • Complex Systems and Decision Making
  • Clinical Reasoning and Diagnostic Skills
  • Business Process Modeling and Analysis
  • Healthcare Systems and Technology
  • Genetics, Bioinformatics, and Biomedical Research
  • Biomedical and Engineering Education
  • Constraint Satisfaction and Optimization
  • Patient Safety and Medication Errors
  • Advanced Text Analysis Techniques
  • Meta-analysis and systematic reviews
  • Information Retrieval and Search Behavior
  • Context-Aware Activity Recognition Systems
  • Data Visualization and Analytics

Summa Health System
2025

Sutter Health
2024

Stanford University
1991-2016

Stanford Medicine
1986-2002

Telemedicine & Advanced Technology Research Center
2002

Yale University
2002

University of California, Irvine
1999-2000

10.1016/s0020-7373(87)80039-1 article EN cc-by-nc-nd International Journal of Man-Machine Studies 1987-01-01

Abstract Objectives Large Language Models (LLMs) have been proposed as a solution to address high volumes of Patient Medical Advice Requests (PMARs). This study addresses whether LLMs can generate quality draft responses PMARs that satisfies both patients and clinicians with prompt engineering. Materials Methods We designed novel human-involved iterative processes train validate prompts LLM in creating appropriate PMARs. GPT-4 was used response the messages. updated prompts, evaluated...

10.1093/jamia/ocae172 article EN cc-by-nc-nd Journal of the American Medical Informatics Association 2024-07-19

ONCOCIN is a medical expert system that extends the skeletal-planning technique to an applciation area where history of past events and duration actions are important. The system's knowledge base designed reflect hierarchical model domain, its control inference mechanisms encourage mixed-initiative style interaction between computer user.

10.1145/76380.76384 article EN Communications of the ACM 1989-12-01

Physicians faced with diagnostic and therapeutic decisions must reason about clinical features that change over time. Database-management systems (DBMS) can increase access to patient data, but most are limited in their ability store retrieve complex temporal information. The Time-Oriented Databank (TOD) model, the widely used data model for medical database systems, associates a single time stamp each observation. proper analysis of requires accounting multiple concurrent events may alter...

10.1055/s-0038-1634816 article EN Methods of Information in Medicine 1991-01-01

Objective: The authors' goal was to determine whether dynamic categorization, a new technique for organizing search results, is more useful than the two existing organizational techniques: relevance ranking and clustering. They define tool as one that helps users learn about kinds of information pertain their query, find answers questions efficiently easily, feel satisfied with experience. Design: Fifteen patients breast cancer family members completed query-related tasks using all three...

10.1136/jamia.2000.0070605 article EN Journal of the American Medical Informatics Association 2000-11-01

Mycin, a computer-based consultation system which provides to physicians antimicrobial therapy recommendations for patients with bacterial infections, is described. The program arrives at therapeutic decisions using built-in knowledge base as well patient data entered by the physician. capable of explaining its and answering questions about reasoning process. system's can be updated corrected easily infectious disease experts. At present operational within research setting; routine use in...

10.1093/ajhp/33.12.1304 article EN American Journal of Health-System Pharmacy 1976-12-01

Decision analysis is an appealing methodology with which to provide decision support the practicing physician. However, its use in clinical setting impeded because computer- based explanations of decision-theoretic advice are difficult generate without resorting mathematical arguments. Nevertheless, human analysts useful and tuitive on trees. To facilitate theory a computer-based system, authors developed computer program that uses symbolic reasoning techniques nonquantitative results...

10.1177/0272989x8800800410 article EN Medical Decision Making 1988-12-01

<h3>Objective</h3> To investigate the impact of a computer-based documentation (CBD) tool on parent and physician satisfaction with pediatric health maintenance encounter. <h3>Design</h3> The project used preintervention postintervention design. group visits paper-based forms for data entry, whereas CBD. At conclusion each encounter, both completed survey that assessed their perceptions encounter’s quality. <h3>Setting</h3> Urban hospital-based teaching clinic. <h3>Participants</h3> Parents...

10.1001/archpedi.159.3.250 article EN Archives of Pediatrics and Adolescent Medicine 2005-03-01
Coming Soon ...