LARGE-SCALE AI-ASSISTED MAPPING OF HEALTH ECONOMICS AND OUTCOMES RESEARCH EVIDENCE GAPS ACROSS GASTRO-HEPATIC DISEASES...
Author(s)
Corrina Mau, MPH1, Weicheng Ye, MPH2, Thitima Kongnakorn, PhD3.
1Thermo Fisher Scientific, Toronto, ON, Canada, 2Thermo Fisher Scientific, Waltham, MA, USA, 3Thermo Fisher Scientific, Bangkok, Thailand.
1Thermo Fisher Scientific, Toronto, ON, Canada, 2Thermo Fisher Scientific, Waltham, MA, USA, 3Thermo Fisher Scientific, Bangkok, Thailand.
OBJECTIVES: To refine an AI-assisted health economics and outcomes research (HEOR) evidence map for gastro-hepatic diseases—a disease area causing morbidity and healthcare burden in Asia—and to identify evidence concentrations and gaps across disease domains and HEOR subtypes.
METHODS: PubMed records (2000-2025; English) were extracted using predefined HEOR/intervention terms, deduplicated, and screened/classified using a two-stage large language model pipeline. Gastro-hepatic HEOR records were normalized using a reproducible taxonomy grouping diseases into 13 domains. The six most prevalent disease domains in Asia were further analyzed across 11 HEOR evidence categories. Record counts and within-disease-area percentages were summarized.
RESULTS: Of 63,223 unique records identified, 45,918 were HEOR-relevant. Broad gastro-hepatic retrieval identified 7,630 records; however, disease-domain classification showed that 4,933 records were unspecified or outside predefined gastro-hepatic domains. Among the classified records (n=2,697), the six priority domains comprised 1,836 studies: liver hepatitis (n=666; 36.3%), inflammatory bowel disease (n=303; 16.5%), colorectal disease (n=292; 15.9%), liver neoplasms (n=255; 13.9%), esophageal/reflux/upper gastrointestinal disease (n=181; 9.9%), and gastric disease (n=139; 7.6%). Among 1,836 records, economic evaluation (n=1,546; 84.2%) dominated, whereas all other HEOR categories—including real-world evidence (RWE) outcomes, HEOR systematic reviews, patient-reported outcomes/health-related quality of life, treatment patterns, cost/economic burden, burden of disease, access/policy/value assessment, healthcare resource utilization, and HEOR methods—each accounted for <4% of studies. Across all six domains, economic evaluation was the predominant evidence category. Within economic evaluations, cost-utility analyses (n=761; 49.2%) and cost-effectiveness analyses (n=725, 46.9%) were most common, followed by budget impact models (n=21, 1.4%).
CONCLUSIONS: AI-assisted mapped priority disease-domain evidence aligned with Asia’s leading gastro-hepatic disease burden. The HEOR evidence base was heavily concentrated in economic evaluations, with notable gaps in domains that may help inform economic evaluations, particularly RWE, patient-centered outcomes, evidence synthesis/methods, and access/policy research. These findings highlight priority areas for future HEOR research.
METHODS: PubMed records (2000-2025; English) were extracted using predefined HEOR/intervention terms, deduplicated, and screened/classified using a two-stage large language model pipeline. Gastro-hepatic HEOR records were normalized using a reproducible taxonomy grouping diseases into 13 domains. The six most prevalent disease domains in Asia were further analyzed across 11 HEOR evidence categories. Record counts and within-disease-area percentages were summarized.
RESULTS: Of 63,223 unique records identified, 45,918 were HEOR-relevant. Broad gastro-hepatic retrieval identified 7,630 records; however, disease-domain classification showed that 4,933 records were unspecified or outside predefined gastro-hepatic domains. Among the classified records (n=2,697), the six priority domains comprised 1,836 studies: liver hepatitis (n=666; 36.3%), inflammatory bowel disease (n=303; 16.5%), colorectal disease (n=292; 15.9%), liver neoplasms (n=255; 13.9%), esophageal/reflux/upper gastrointestinal disease (n=181; 9.9%), and gastric disease (n=139; 7.6%). Among 1,836 records, economic evaluation (n=1,546; 84.2%) dominated, whereas all other HEOR categories—including real-world evidence (RWE) outcomes, HEOR systematic reviews, patient-reported outcomes/health-related quality of life, treatment patterns, cost/economic burden, burden of disease, access/policy/value assessment, healthcare resource utilization, and HEOR methods—each accounted for <4% of studies. Across all six domains, economic evaluation was the predominant evidence category. Within economic evaluations, cost-utility analyses (n=761; 49.2%) and cost-effectiveness analyses (n=725, 46.9%) were most common, followed by budget impact models (n=21, 1.4%).
CONCLUSIONS: AI-assisted mapped priority disease-domain evidence aligned with Asia’s leading gastro-hepatic disease burden. The HEOR evidence base was heavily concentrated in economic evaluations, with notable gaps in domains that may help inform economic evaluations, particularly RWE, patient-centered outcomes, evidence synthesis/methods, and access/policy research. These findings highlight priority areas for future HEOR research.
Conference/Value in Health Info
2026-09, ISPOR Asia Pacific 2026, Bangkok, Thailand
Value in Health, Volume 55, Issue S1
Code
MSR2
Topic
Methodological & Statistical Research
Topic Subcategory
Artificial Intelligence, Machine Learning, Predictive Analytics
Disease
No Additional Disease & Conditions/Specialized Treatment Areas, SDC: Gastrointestinal Disorders