Preface;
Audience;
Organization;
Conventions Used in This Book;
Using Code Examples;
Safari® Books Online;
How to Contact Us;
Acknowledgments;
Chapter 1: Introduction;
1.1 Health IT and Medical Science;
1.2 Meaningful Use and What It Means to Be an EHR;
1.3 Why So Late?;
1.4 Health IT in Health Reform;
1.5 Evolution of Meaningful Use;
1.6 Accountable Care Organizations;
1.7 EHR Functionality in Context;
Chapter 2: An Anatomy of Medical Practice;
2.1 How Patients Reach Healthcare Organizations;
2.2 Lab Sample Collection Before a Visit or Admission Date;
2.3 HIPAA and Patient Identification;
2.4 Intake, Demographics, Visits, and Admissions;
2.5 Precertification and Prior Authorization;
2.6 Emergency Admissions;
2.7 Prioritization and Triage;
2.8 Outpatient Care;
2.9 Inpatient Care;
2.10 Labs;
2.11 Imaging;
2.12 Administration and Billing;
Chapter 3: Medical Billing;
3.1 Who Pays, and How;
3.2 Claims;
3.3 Eligibility;
3.4 Treatment;
3.5 Billing;
3.6 Adjudication;
3.7 The Patient's Burden;
Chapter 4: The Bandwidth of Paper;
4.1 Workflow Tokens;
4.2 Why Leave Paper?;
4.3 Step 0: Health IT Humility;
4.4 Normalized Data;
4.5 Good Boundaries Mean Good Data;
4.6 Data at Peace with Itself: Linked Data;
4.7 Flexible Data;
4.8 Assume Health Data Changes;
4.9 Free Text Data;
Chapter 5: Herding Cats: Healthcare Management and Business Office Operations;
5.1 Major Business Office Activities;
5.2 The Evolution of the Business Office;
Chapter 6: Patient-Facing Software;
6.1 The PHR as Platform;
6.2 Sharing Data in Patient-Facing Software;
6.3 Patients Using Normal Social Media;
6.4 E-patients;
6.5 The Quantified Self;
6.6 Patient-Focused Social Media;
6.7 Patient Privacy in PHR Systems;
6.8 Specific PHR and Patient-Directed Meaningful Use Requirements;
Chapter 7: Human Error;
7.1 The Extent of Error;
7.2 Dangerous Dosing;
7.3 Discontents of Computerization;
7.4 Process Errors and Organizational Change;
7.5 Deep Medical Errors and EHR Solutions;
7.6 Errors Caused by Human-Computer Mismatch;
7.7 Best Practices;
Chapter 8: Meaningful Use Overview;
8.1 Outpatient Guidelines and Requirements;
8.2 Inpatient Guidelines and Requirements;
Chapter 9: A Selective History of EHR Technology;
9.1 MUMPS: The Programming Language for Healthcare;
9.2 Where Can We Buy Some Light Bulbs?;
9.3 Fragmentation;
9.4 In an Environment with Gag Clauses and No Consumer Reports;
9.5 VistA History;
Chapter 10: Ontologies;
10.1 A Throw-Away Ontology;
10.2 Learning from Our Example;
10.3 CPT Codes, Sermo, and CMS;
10.4 International Classification of Diseases (ICD);
10.5 E-patient-Dave-gate;
10.6 Crosswalks and ICD Versions;
10.7 Other Claims Codes;
10.8 Drug Databases;
10.9 SNOMED to the Rescue;
10.10 UMLS: The Universal Mapping Metaontology;
10.11 Extending Ontologies;
10.12 Other Ontologies;
10.13 Sneaky Ontologies;
10.14 Ontologies Using APIs;
10.15 Exercising Ontologies;
Chapter 11: Interoperability;
11.1 Some Lessons from Earlier Exchanges;
11.2 The New HIE Rules;
11.3 Strong Standards;
11.4 Winning Protocols;
11.5 The Billing Protocols;
11.6 HL7 Version 2;
11.7 First-Generation and Second-Generation HIEs;
11.8 Continuity of Care Record;
11.9 HL7 v3, RIM, CDA, CDD, and HITSP C32;
11.10 The IHE Protocol;
11.11 HIE with IHE;
11.12 The Direct Project/Protocol;
11.13 The PCAST Report;
11.14 The SMART Platform;
11.15 Technology and Policy Were Sitting in the Tree;
Chapter 12: HIPAA: The Far-Reaching Healthcare Regulation;
12.1 Does HIPAA Cover Me?;
12.2 Responsibilities of Covered Entities;
12.3 HIPAA: A Reasonable Regulation;
12.4 Duct-Tape HIPAA Strategies;
12.5 Breach Notification Rules;
12.6 In Summary;
Chapter 13: Open Source Systems;
13.1 Why Open Source?;
13.2 Major Open Source Healthcare Projects;
13.3 VistA Variants and Other Certified Open Source EHR Systems;
13.4 OpenMRS;
Meaningful Use Implementation Assessment;