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Checking in on Healthcare Data Analytics
The document discusses the transformative changes in healthcare data analytics, highlighting the integration of large datasets, interoperability, and the need for infrastructure and expertise. It emphasizes opportunities such as improving epidemiological insights and evaluating healthcare expenditures, alongside challenges including scalability of analytic techniques and regulatory concerns. The author provides examples of data applications in pathology, particularly within the Calgary laboratory context and sociodemographic influences on screening rates.
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Checking in on Healthcare Data Analytics
- 1. Checking in onhealthcare data analytics Christopher Naugler Associate Professor Pathology and Laboratory Medicine University of Calgary
- 2. Healthcare data • Transformativechanges: – Accrual of large historic datasets – Interoperability of systems – Data warehouses • Opportunities – Provide epidemiological data – Assess value in health spending – Provide new insights for increasing value
- 3. Challenges • Traditional analytictechniques not scalable to big data • Trans border data flows into the United States and the USA PATRIOT Act • Need bricks and mortar big data solutions • Lack of infrastructure • Lack of expertise
- 4. What is bigdata in pathology? • Genome sequences: bioinformatics – Shah NH. Translational bioinformatics embraces big data. Yearbook of Medical Informatics 2011:7:130-134. • Imaging analysis and storage – Mohammed EA, Far BH, Naugler C. Peripheral Blood Smear Image Analysis: A comprehensive review. Journal of Pathology Informatics 2014;5:9 • Massive lab/clinical datasets – Mohammed EA, Far BH, Naugler C. Applications of the MapReduce Programming Framework to Clinical Big Data Analysis: Current Landscape and Future Trends. BioData Mining, in press
- 5. Example – CalgaryLaboratory data • Since 2010: 125,000,000 lab tests • Each with 100+ pieces of metadata – 1.25 x 1010 data elements • Linkage to demographic, pharmacy,outcomes data – 1.25 x 1012 data elements
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- 9. Total expenditures byspecialty •Naugler C, Thomas R, Turin TC, Guo M, Vaska M. Am J Clin Pathol in press
- 10. Laboratory testing costsby physician Numberofprimarycarephysicians Yearly cost of laboratory tests ($CDN)
- 11. Redundant laboratory tests •Morgen E, Naugler C. Am J Clin Pathol in press
- 12. Abnormal Rate perNumber of Tests
- 14. ROCs for FITscreening
- 15. PSA testing inthe city of Calgary Gorday, W, Sadzradeh H, de Koning L, Naugler C. Sociodemographic variables associated with PSA testing. Clin Biochem 2014;47:164-169.
- 16. Colon Cancer Screening • Thereis marked variation in screening rates throughout Calgary, related to a number of sociodemographic factors • Crouse AL, Sadrzadeh H, de Koning L, Naugler C. Clin Biochem 2015;48:105-109.
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