The missing link: Electronic health record linkage across species offers opportunities for improving One Health
Mullen, K. R.; Saklou, N.; Kiehl, A.; Ong, T. C.; Strecker, G. J.; Toro, S.; VandeWoude, S.; Brooks, I. M.; Webb, T. L.; Haendel, M. A.
Show abstract
ObjectiveSignificant opportunities for understanding the co-occurrence of conditions across species in coincident households remain untapped. We determined the feasibility of creating a Companion Care Registry (CCR) for analysis of health data from the University of Colorado Health (UCHealth) patients and their companion animals who received veterinary care at the geographically-adjacent Colorado State University Veterinary Teaching Hospital (CSU-VTH). Materials and MethodsUsing a hybrid deterministic and probabilistic record linkage method, non-medical Personally Identifiable Information was securely matched to determine the total number of UCHealth patients within the HIPAA-compliant Health Data Compass Research Data Warehouse (2015-2024) who took a companion animal to the CSU-VTH (2019-2024). Results12,115 matches were identified, indicating 29% of CSU-VTH clients were UCHealth patients. DiscussionThe overlap between CSU-VTH clients and UCHealth patients underscores the potential feasibility and utility of a CCR. ConclusionThis work provides a mechanism to evaluate environmental and inter-species influences on One Health.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- A standardized instrument quantifying risk factors associated with bi-directional transmission of SARS-CoV-2 and other zoonotic pathogens: The COVID-19 Human-Animal Interactions Survey (CHAIS) 91%
- Is there a higher risk of exposure to Coxiella burnetii for pre-clinical veterinary students? 91%
- Systematic review and meta-analysis of the prevalence of coronavirus in the world: One health approach is urgent 91%
Similar papers in this journal
- Predicting nutrition and environmental factors associated with female reproductive disorders using a knowledge graph and random forests 91%
- Machine Learning Directed Interventions Associate with Decreased Hospitalization Rates in Hemodialysis Patients 91%
- Synthetic Data Generation in Healthcare: A Scoping Review of reviews on domains, motivations, and future applications 89%
Similar papers in this journal
- ePOCT+ and the medAL-suite: Development of an electronic clinical decision support algorithm and digital platform for pediatric outpatients in low- and middle-income countries 91%
- External validation of a paediatric SMART triage model for use in resource limited facilities 91%
- Impact of electronic medical records on healthcare delivery in Nigeria: A Review 90%
"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.