Development and Evaluation of a Regional Health Information Exchange (HIE)-Based Platform for Population-Level Infectious Disease Surveillance
Sandoval, M.; Mikhail, J.; He, H.; Denton, C.; al Rustem, H.; Troisi, C.; Cao, T.; Deegan, J.; Hanson, B.; Bauer, C.; Boerwinkle, E.
Show abstract
Background: Health Information Exchanges (HIEs) offer a potential resource for timely, population-level infectious disease surveillance by integrating electronic health record data across healthcare systems. Methods: We developed an end-to-end informatics pipeline for near-real-time community-level health surveillance based in a regional HIE serving Southeast Texas. We identified deidentified individual-level COVID-19, influenza, and RSV cases using diagnosis codes and laboratory results and assessed demographic and temporal trends from January 2022 through August 2026. Results: We identified 492,242 COVID-19 cases, 343,977 influenza cases, and 33,159 RSV cases during the study period. Surveillance data captured expected seasonal patterns, including recurring winter COVID-19 and influenza peaks and shifting RSV epidemiology, while enabling monitoring of laboratory test positivity metrics and hospitalization trends across age groups. Conclusions: HIE-based surveillance provides scalable, near-real-time monitoring of disease targets across large populations. HIE infrastructure can enhance public health situational awareness and complement traditional surveillance systems by harmonizing vital health data across systems and providers and delivering timely, standardized, and representative population health indicators.
Matching journals
The top 9 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
- Dataset Documentation for Responsible AI: Analysis of Suitability and Usage for Health Datasets 90%
- Aggregating Multiple Real-World Data Sources using a Patient-Centered Health Data Sharing Platform: an 8-week Cohort Study among Patients Undergoing Bariatric Surgery or Catheter Ablation of Atrial Fibrillation 90%
- Predicting critical state after COVID-19 diagnosis: Model development using a large US electronic health record dataset 90%
Similar papers in this journal
- Augmenting Fact and Date of Death in Electronic Health Records using Internet Media Sources: A Validation Study from Two Large Healthcare Systems 92%
- Infectious disease modeling for public health practice: projections, scenarios, and uncertainty in three phases of outbreak response 90%
- Obtaining prevalence estimates of COVID-19: A model to inform decision-making 89%
Similar papers in this journal
- Flexible and scalable participatory syndromic and virological surveillance for respiratory infections: our experiences in The Netherlands 92%
- Reduced turnaround times through multi-sectoral collaboration during the first surge of SARS-CoV-2 in Louisiana, March-April 2020 90%
- Reliability of COVID-19 data: An evaluation and reflection 90%
Similar papers in this journal
- Elucidating user behaviours in a digital health surveillance system to correct prevalence estimates 92%
- Nowcasting and Forecasting the 2022 U.S. Mpox Outbreak: Support for Public Health Decision Making and Lessons Learned 90%
- Assessing the utility of COVID-19 case reports as a leading indicator for hospitalization forecasting in the United States 89%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.