Abstract

Medical, physiological, and biochemical information regarding a multitude of species is a critical component in the practice of zoological medicine, but such information is not always readily available. Conferences, journal articles, textbooks, and personal communication are the traditional means to transfer knowledge between clinicians, but these methods have limited efficiency. Electronic medical records for zoological and aquarium collections offer opportunities for both real-time sharing of information between institutions and data mining of existing records to build unique global information resources that are continually updated as new information becomes available.

Partnering with the Institute of Museum and Library Sciences, Species360 focused on extracting, summarizing, and organizing information contained within millions of medical records in ZIMS to produce global resources that could support and improve veterinary care in zoos and aquariums. The project produced 3 new medical resources, Anesthesia Summaries, Drug Usage Extracts, Morbidity and Mortality Analysis; and significantly enhanced the existing resource, Expected Test Results. For each of the 4 resources, an algorithm extracts relevant records, discards outliers, calculates necessary values, and assembles the remaining data set into a searchable compilation of medical experience and knowledge that is useful to veterinarians.

As of March 31, 2018, Anesthesia Summaries provides the most common induction protocols recorded for 1396 species. Drug Usage Extracts dosage, frequency, duration, and reports of adverse effects for 588 pharmaceuticals in 4802 species. The Morbidity and Mortality Analysis summarizes clinical concerns in 1888 species and relevant death information reported in each taxonomy. Expected Test Results analyzes over 10.5 million test result records to calculate reference intervals and basic statistics to augment clinical pathology interpretation for 1014 species.

The global scope of the ZIMS database ensures that each resource is the most comprehensive summary available on that subject and execution of the algorithms on a regular basis ensures that users have access to the most current medical knowledge. Standardized and statistical analysis of the data sets also provides a rigorous objectivity. The generated pooled global knowledge may inform medical decisions, collection planning in zoos and aquariums, and conservation research.

Acknowledgements

This project was supported by the Institute of Museum and Library Services grant MG-30-14-0039-14.

* Presenting author