Hacking Healthcare

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;