HLST 2040 Lecture Notes - Lecture 2: Windows Media Video, Xml, Wav

• School: York University
• Department: Health Studies
• Course: HLST 2040
• Professor: Serban Dinca- Panaitescu

Document Summary

Abbreviations: hit health information technology, bda big data analytics, cds clinical decision support. Introduction: data are numbers, characters, symbols or aggregates of these e. g. , 162. 9, blue, 7&a, context gives data meaning. I(cid:374)fo(cid:396)(cid:373)atio(cid:374) is data (cid:449)ith (cid:373)ea(cid:374)i(cid:374)g, e. g. , (cid:862)(cid:1005)(cid:1010)(cid:1006). 9(cid:863) is the icd-9 (cid:272)ode fo(cid:396) (cid:862)lu(cid:374)g (cid:374)eoplas(cid:373), not. Otherwise specified: knowledge is information that is justifiably believed to be true, e. g. , smokers are more likely to de(cid:448)elop lu(cid:374)g (cid:272)a(cid:374)(cid:272)e(cid:396)(cid:863). Types of healthcare data, information and knowledge: science of the type of care, patient data, provider data, outcomes data, process and system for delivery care. Improve accessibility: examples of big data in healthcare, automatic diagnostic from medical digital imaging, quantifying lifestyle data in the fitness industry, big data value association big data technologies in healthcare. Mining the data: healthcare/ research organizations, collect, transform and analyze patient, financial and administrative data in order to understand it, and improve operations/ client services. Aggregating data: standard file types such as: