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An Introduction to Healthcare Informatics
Building Data-Driven Tools
The main concepts and skills necessary for physicians, nurses and health scientists to work with analysts and IT professionals and even perform analysis and application architecture themselves
Peter Mccaffrey (Author)
9780128149157
Paperback, published 29 July 2020
339 pages
23.4 x 19 x 2.2 cm, 0.68 kg
Approx.323 pages
Section 1: Storing and Accessing Data1. The Healthcare IT Landscape2. Relational Databases3. SQL 4. Example Project 1: Querying Data with SQL5. Non-Relational Databases6. M/MUMPS Section 2: Understanding Healthcare Data7. How to Approach Healthcare Data Questions8. Clinical and Administrative Workflows: Encounters, Laboratory Testing, Clinical Notes, and Billing9. HL-7 and FHIR, and Clinical Document Architecture10. Ontologies, Terminology Mappings and Code Sets Section 3: Analyzing Data11. A Selective Introduction to Python and Key Concepts12. Packages, Interactive Computing, and Analytical Documents13. Assessing Data Quality, Attributes, and Structure14. Introduction to Machine Learning: Regression, Classification, and Important Concepts15. Introduction to Machine Learning: Support Vector Machines, Tree-Based Models, Clustering, and Explainability16. Computational Phenotyping, and Clinical Natural Language Processing17. Example Project 2: Assessing and Modeling Data 18. Introduction to Deep Learning and Artificial Intelligence Section 4: Designing Data Applications19. Analysis Best Practices20. Overview of Big Data Tools: Hadoop, Spark and Kafka21. Cloud Technologies
Subject Areas: Personal & public health [MBNH], Biotechnology industries [KNDH1]
