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An Introduction to Healthcare Informatics: Building Data-Driven Tools bridges the gap between the current healthcare IT landscape and cutting edge technologies in data science, cloud infrastructure, application development and even artificial intelligence. Information technology encompasses several rapidly evolving areas, however healthcare as a field suffers from a relatively archaic technology landscape and a lack of curriculum to effectively train its millions of practitioners in the skills they need to utilize data and related tools.
The book discusses topics such as data access, data analysis, big data current landscape and application architecture. Additionally, it encompasses a discussion on the future developments in the field. This book provides physicians, nurses and health scientists with the concepts and skills necessary to work with analysts and IT professionals and even perform analysis and application architecture themselves.
- Presents case-based learning relevant to healthcare, bringing each concept accompanied by an example which becomes critical when explaining the function of SQL, databases, basic models etc.
- Provides a roadmap for implementing modern technologies and design patters in a healthcare setting, helping the reader to understand both the archaic enterprise systems that often exist in hospitals as well as emerging tools and how they can be used together
- Explains healthcare-specific stakeholders and the management of analytical projects within healthcare, allowing healthcare practitioners to successfully navigate the political and bureaucratic challenges to implementation
- Brings diagrams for each example and technology describing how they operate individually as well as how they fit into a larger reference architecture built upon throughout the book
Graduate students, physicians, nurses, and several members of biomedical field
Section 1: Storing and Accessing Data
1. The Healthcare IT Landscape
2. Relational Databases
4. Non-Relational Databases
Section 2: Understanding Healthcare Data
6. How to Approach Healthcare Data Questions
7. Clinical and Administrative Workflows: Encounters, Laboratory Testing, Clinical Notes, and Billing
8. HL-7 and FHIR, and Clinical Document Architecture
9. Ontologies, Terminology Mappings and Code Sets
Section 3: Analyzing Data
10. A Selective Introduction to Python and Key Concepts
11. Packages, Interactive Computing, and Analytical Documents
12. Assessing Data Quality, Attributes, and Structure
13. Introduction to Machine Learning: Regression, Classification, and Important Concepts
14. Introduction to Machine Learning: Support Vector Machines, Tree-Based Models, Clustering, and Explainability
15. Computational Phenotyping, and Clinical Natural Language Processing
16. Introduction to Deep Learning and Artificial Intelligence
Section 4: Designing Data Applications
17. Analysis Best Practices
18. Overview of Big Data Tools: Hadoop, Spark and Kafka
19. Cloud Technologies
- No. of pages:
- © Academic Press 2021
- 1st September 2020
- Academic Press
- Paperback ISBN:
Peter McCaffrey, MD is a physician informaticist as well as Co-Founder and Chief Technology Officer at Hadera Technologies, a healthcare data science and cloud company. Peter attended medical school at The John Hopkins University School of Medicine, during which time he was the Founder and CEO of Accetia, Inc where his team developed a cloud analytics platform for next generation sequencing. Peter did his residency in Clinical Pathology and Laboratory Medicine at the Massachusetts General Hospital, where he also served as Chief Resident. Together with John Monahan, Peter has developed several production healthcare applications including a clinical analytics dashboard that currently runs at the Massachusetts General Hospital. Peter has worked with hospitals in Massachusetts, Texas, California and overseas in project areas ranging from application development to analytics, application architecture and IT project management. Peter also is an Amazon Web Services Certified Solutions Architect. Peter and John have a passion for informatics and routinely lead medical informatics teaching sessions at the Massachusetts General Hospital to audiences consisting of residents, faculty and existing clinical informatics fellows.
MD.,Co-Founder and Chief Technology Officer, Hadera Technologies
John Monahan, MD is a physician informaticist and is a Co-Founder and Chief Executive Officer at Hadera Technologies, a healthcare data science and cloud company. John attended medical school at the Keck School of Medicine at USC where he published original research in computational surgical modelling. John has a track-record of success as an entrepreneur; he co-founded a successful entertainment company whose app was the top downloaded educational app on the Apple App Store and whose products were featured in the first iPad Air commercial. John also worked with the world’s premiere satellite telecommunications firm, ViaSat, as their Director of Medical Innovation, where he secured millions of dollars in grant funding, and deployed several impactful telemedicine programs around the world. John did his residency in Clinical Pathology and Laboratory medicine at Massachusetts General Hospital, where he served as Chief Resident. Together with Peter McCaffrey, John developed and deployed several production healthcare applications and analytics services. John continues to be active in the academic medical community, teaching informatics to residents and fellows and architecting solutions for hospitals to improve the quality and value of care.
MD.,Co-Founder and Chief Executive Officer, Hadera Technologies