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Health Informatics on FHIR: How HL7's API is Transforming Healthcare 2nd ed. 2022 [Kõva köide]

  • Formaat: Hardback, 470 pages, kõrgus x laius: 235x155 mm, kaal: 1054 g, 251 Illustrations, color; 23 Illustrations, black and white; XXXII, 470 p. 274 illus., 251 illus. in color., 1 Hardback
  • Sari: Health Informatics
  • Ilmumisaeg: 11-Feb-2022
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 303091562X
  • ISBN-13: 9783030915629
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Health Informatics on FHIR: How HL7's API is Transforming Healthcare 2nd ed. 2022Suurem pilt
  • Formaat: Hardback, 470 pages, kõrgus x laius: 235x155 mm, kaal: 1054 g, 251 Illustrations, color; 23 Illustrations, black and white; XXXII, 470 p. 274 illus., 251 illus. in color., 1 Hardback
  • Sari: Health Informatics
  • Ilmumisaeg: 11-Feb-2022
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 303091562X
  • ISBN-13: 9783030915629
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9783030915629.html
Märksõnad:

This extensively revised textbook describes and defines the US healthcare delivery system, its many systemic challenges and the prior efforts to develop and deploy informatics tools to help overcome these problems. Now that electronic health record systems are widely deployed, the HL7 Fast Healthcare Interoperability standard is being rapidly accepted as the means to access and share the data stored in those systems and analytics is increasing being used to gain new knowledge from that aggregated clinical data, this book goes on to discuss health informatics from an historical perspective, its current state and likely future state. It then turns to some of the important and evolving areas of informatics including electronic healt\h records, clinical decision support,. population and public health, mHealth and analytics. Numerous use cases and case studies are employed in all of these discussions to help readers connect the technologies to real world challenges.

Health Informatics on FHIR: How HL7's API is Transforming Healthcare is for introductory health informatics courses for health sciences students (e.g., doctors, nurses, PhDs), the current health informatics community, computer science and IT professionals interested in learning about the field and practicing healthcare providers. Though this textbook covers an important new technology, it is accessible to non-technical readers including healthcare providers, their patients or anyone interested in the use of healthcare data for improved care, public/population health or research. 



Part I Perspective
1 A Brief History and Overview of Health Informatics
3(10)
1.1 Introduction
3(1)
1.2 Early Electronic Records and Clinical Decision Support
3(3)
1.3 Health Information Exchange
6(2)
1.4 The Interoperability Challenge
8(1)
1.5 Exciting, Transformational Times
9(2)
1.6 A Pivotal Point
11(2)
References
11(2)
2 The US Health Care System
13(20)
2.1 Introduction
13(2)
2.2 High Costs, Mediocre Results
15(2)
2.3 The Uninsured Can Raise Costs
17(2)
2.4 The Payment Model
19(1)
2.5 Alternate Payment Models
20(1)
2.6 Wasteful Spending
21(1)
2.7 Chronic Disease Drives Most Costs
22(1)
2.8 Alternate Care Models: Health Maintenance Organizations (HMOs)
23(1)
2.9 Alternate Care Models: The Patient Centered Medical Home (PCMH)
24(1)
2.10 Alternate Payment Models: Accountable Care Organizations (ACOs)
25(2)
2.11 The Role of Health Informatics in Value-Based Care
27(1)
2.12 A Learning Health System
28(1)
2.13 Informatics for a Learning Health System
28(1)
2.14 Recap
29(4)
References
29(4)
3 Health Informatics in the Real World
33(38)
3.1 Introduction
33(1)
3.2 Hospital EHR Adoption and Functionality Challenges
33(5)
3.3 Similar Provider EHR Challenges
38(1)
3.4 The HITECH Program
39(1)
3.5 Health IT Certification
39(2)
3.6 Meaningful Use
41(1)
3.7 Physician EHR Satisfaction
41(2)
3.8 EHR Challenges
43(2)
3.9 A Universal Health App Platform
45(1)
3.10 Innovative EHR Functionality
46(19)
3.11 Recap
65(6)
References
66(5)
Part II Beyond Direct Patient Care
4 The Empowered Patient
71(46)
4.1 Introduction
71(1)
4.2 Personal Health Records
71(2)
4.3 A Personally Controlled Health Record (PCHR)
73(3)
4.4 PHR Challenges
76(2)
4.5 Bridge Patient Portal
78(3)
4.6 Apple's FHIR-Based Health App
81(6)
4.7 Blue Button
87(2)
4.8 Open Notes®
89(1)
4.9 Telecare
90(3)
4.10 India on FHIR
93(9)
4.11 MIDATA
102(6)
4.12 eMediplan and HCI
108(1)
4.13 Recap
109(8)
References
112(5)
5 Health Information Exchange
117(46)
5.1 Introduction
117(1)
5.2 The Interoperability Challenge
118(1)
5.3 The HL7 Clinical Information Modeling Initiative
119(4)
5.4 PenRad Applicadia Video
123(1)
5.5 Semantic Interoperability Through Machine Learning
124(1)
5.6 Interoperability and Meaningful Use
125(1)
5.7 HIPAA
126(1)
5.8 Privacy
127(1)
5.9 Security
128(1)
5.10 Trust
129(1)
5.11 Blockchain in Health Care
130(1)
5.12 Health Information Exchange: Direct
131(2)
5.13 Health Information Exchange: HL7 Messaging
133(1)
5.14 Health Information Exchange: Semantic Interoperability
134(3)
5.15 The Federated Model
137(2)
5.16 The OneFlorida Clinical Research Consortium
139(1)
5.17 CommonWell Health Alliance®
140(3)
5.18 Data Lockers
143(1)
5.19 The Future of Health Information Exchange
143(1)
5.20 Diameter Health Fusion
144(1)
5.21 InterSystems HealthShare
145(2)
5.22 InteropEHRate
147(10)
5.23 Final Thoughts
157(6)
References
158(5)
6 FHIR Applications in Payment
163(20)
6.1 Interoperability in the Payer Space
163(1)
6.2 The Da Vinci Project
164(3)
6.3 Humana
167(4)
6.4 IupHealth
171(3)
6.5 Gainwell Technologies
174(1)
6.6 Surescripts®
175(3)
6.7 Final Reflections
178(1)
6.8 Recap
178(5)
References
178(5)
Part III Interoperability Essentials
7 Data and Interoperability Standards
183(22)
7.1 Introduction
183(1)
7.2 Why Standards?
183(2)
7.3 Standards Structure and Purpose Evolution
185(4)
7.4 Standards Technology Evolution
189(3)
7.5 The Key Data Standards
192(1)
7.6 International Classification of Diseases
192(2)
7.7 Current Procedural Terminology (CPT®)
194(2)
7.8 Logical Observation Identifiers Names and Codes (LOINC®)
196(2)
7.9 National Drug Codes (NDC)
198(1)
7.10 RxNorm
199(1)
7.11 SNOMED Clinical Terms (SNOMED CT)
199(3)
7.12 Recap
202(3)
References
202(3)
8 Pre-FHIR Interoperability and Decision Support Standards
205(28)
8.1 Introduction
205(1)
8.2 HL7 Evolution
205(1)
8.3 HL7 V2 Versus V3
206(1)
8.4 Reference Information Model (RIM)
206(3)
8.5 RIM and FHIR
209(1)
8.6 Clinical Document Architecture Uses RIM
210(1)
8.7 C-CDA Templates
211(2)
8.8 Clinical Decision Support (CDS)
213(1)
8.9 Dr. Homer Warner's HELP System
214(2)
8.10 MYCIN
216(1)
8.11 Internist
217(2)
8.12 Arden: A Standard for Medical Logic
219(1)
8.13 Arden Explained
219(4)
8.14 ArdenSuite
223(3)
8.15 Other Tools for CDS Authoring and Dissemination
226(4)
8.16 Recap
230(3)
References
230(3)
9 FHIR
233(60)
9.1 The Origins of FHIR
233(1)
9.2 Grahame's FHIR Philosophy
234(1)
9.3 FHIR Modules
234(1)
9.4 FHIR Resources
235(4)
9.5 FHIR Resource Representations
239(1)
9.6 FHIR Resource Examples
240(6)
9.7 FHIR Resource Activity
246(1)
9.8 FHIR Extensions
246(1)
9.9 FHIR Resource IDs
247(2)
9.10 FHIR Enabling Existing Systems
249(1)
9.11 FHIR API
250(4)
9.12 FHIR Profiles and Implementation Guides
254(1)
9.13 FHIRPath
255(6)
9.14 Public FHIR Servers
261(1)
9.15 FHIR Development Platforms and Tools
262(6)
9.16 FHIR Tools from the Land Down under
268(16)
9.17 FHIR Accelerators
284(2)
9.18 Other FHIR Resources
286(1)
9.19 FHIR Genomics
286(1)
9.20 Recap
287(6)
References
287(6)
10 SMART on FHIR
293(36)
10.1 A Grand Challenge
293(1)
10.2 SMART Evolution
294(1)
10.3 SMART Technology Stack
294(1)
10.4 Developer Support
295(2)
10.5 OAuth2
297(1)
10.6 Scopes and Permissions
298(2)
10.7 OpenID Connect
300(1)
10.8 SMART App User and Access Authorization
300(3)
10.9 SMART Backend Services
303(1)
10.10 CDS Hooks
303(1)
10.11 FHIR Bulk Data Access (Hat FHIR)
304(3)
10.12 SMART Health Cards
307(2)
10.13 SMART Markers
309(2)
10.14 Sync for Science
311(1)
10.15 A Healthcare System Develops SMART Apps
312(8)
10.16 Graphite Health
320(2)
10.17 Recap
322(7)
References
323(6)
Part IV New Frontiers
11 mHealth
329(18)
11.1 Patient Roles in Chronic Disease
329(1)
11.2 Does mHealth Produce Positive Results?
330(2)
11.3 mHealth Data Quality
332(1)
11.4 The US Food and Drug Administration (FDA)
333(1)
11.5 AliveCor®
334(1)
11.6 Device and App Interoperability
335(1)
11.7 Commercial mHealth Data Integrators
336(5)
11.8 Open mHealth
341(1)
11.9 Open mHealth Tools
342(1)
11.10 Open mHealth to FHIR
343(1)
11.11 Recap
344(3)
References
345(2)
12 Public and Population Health
347(34)
12.1 Introduction
347(1)
12.2 The Roots of Public Health
347(2)
12.3 Public Health Today
349(1)
12.4 FHIR Genomics Reporting for Newborn Screening
350(2)
12.5 The VCF File Format
352(2)
12.6 CDC's Computable Clinical Guidelines
354(3)
12.7 Opioid Appropriate Prescribing Use Case
357(3)
12.8 WHO SMART Guidelines
360(3)
12.9 Electronic Case Reporting
363(3)
12.10 eCRNow
366(2)
12.11 The Future of Public Health
368(1)
12.12 Population Health
369(1)
12.13 popHealth®
369(2)
12.14 Health Sciences SC Bulk FHIR for Population Health
371(2)
12.15 RIMIDI
373(3)
12.16 Recap
376(5)
References
376(5)
13 FHIR Applications Showcase
381(50)
13.1 Increased Scope and Sophistication of FHIR Activity
381(1)
13.2 DICOM on FHIR
381(4)
13.3 The EU's InteropEHRate Andaman7 Patient App
385(6)
13.4 The Sovereignty Network's Cure8 Patient FHIR App
391(14)
13.5 mCODE™ and CodeX: A FHIR Standard for Cancer Care
405(8)
13.6 MedWise®/Tabula Rasa HealthCare
413(3)
13.7 Evidence Based Medicine
416(1)
13.8 Evidence Based Medicine on FHIR
417(8)
13.9 Recap
425(6)
References
425(6)
Postscript 431(2)
Useful Web Tools and Resources 433(2)
Glossary of Terms and Acronyms 435(14)
Index 449
Mark Braunstein, MD, an author and thought leader in the field, taught health informatics in the School of Interactive Computing of the College of Computing at the Georgia Institute of Technology for over a decade.  After a successful career as a health IT entrepreneur, he joined Georgia Tech in 2007 as a Professor of the Practice.  He developed the first Massive Open Online Course (MOOC) in the field and his unique health informatics graduate seminar was the first to be centered on HL7s Fast Healthcare Interoperability Resource (FHIR) standard.  In it, student teams work with domain experts to solve problems posed by them. 





He is a Visiting Scientist at the Australian eHealth Research Centre and created a similar educational program at the University of Queensland in Brisbane.  Previously he wrote Practitioners Guide to Health Informatics (Springer 2015) and Contemporary Health Informatics (AMIA 2014).  









Dr. Braunstein isactively involved with HL7s development of the Fast Healthcare Interoperability Resource (FHIR) standard. 









He earned a BS from MIT in 1969, an MD from the Medical University of South Carolina in 1974 and served as a resident at Washington University.  









He was a 1996 Entrepreneur of the Year Award for the Southeast Region, received a 1995 Innovation in Medical Management Award from the American Society of Physician Executives and received the 2006 Founders Award from the American-Israel Chamber of Commerce, Southeast Region.  In 2013 he was honored as a Distinguished Alumnus by MUSCs College of Medicine.