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Information management for health professions Merida L. Johns.

Por: Series Health information management seriesDetalles de publicación: Albany, N.Y. Delmar Publishers 1997.Descripción: xx, 316 p. illISBN:
  • 0827359497
Tema(s): Clasificación CDD:
  • 610/295
Clasificación LoC:
  • R858 .JJ66 1997
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Descripciones mejoradas de Syndetics:

This valuable resource provides health care professionals with an understanding of the functions of health information management systems, management concepts and practices in the age of the computer-based patient record. It includes coverage of database approaches to health data storage, retrieval, and management of data quality.

Includes bibliographical references.

Tabla de contenidos provista por Syndetics

  • Preface(p. xi)
  • Introduction(p. xvii)
  • Chapter 1 A Model of Practice for Health Information Management(p. 1)
  • Definitions of Health Information Management(p. 3)
  • Traditional Definitions of Information Management(p. 3)
  • Traditional Roles of Health Information Managers(p. 5)
  • Requirements for Role Change(p. 7)
  • The Health Information Manager as an Information Broker(p. 8)
  • Model of Practice(p. 9)
  • Information Engineering Domain(p. 11)
  • Information Retrieval Domain(p. 13)
  • Information Analysis(p. 14)
  • Policy Development(p. 14)
  • The Successful Health Information Manager(p. 15)
  • Chapter 2 Concepts of Health Information Management(p. 20)
  • Defining an Information System(p. 22)
  • Information System Concepts(p. 24)
  • Information System Components(p. 30)
  • Information System Processes(p. 30)
  • Categories of Information Systems(p. 32)
  • Information Systems and the Organization(p. 34)
  • Strategic Nature of Information Systems(p. 34)
  • Levels of Organizational Decision Making(p. 35)
  • The Life Cycle of Information Systems in the Organization(p. 37)
  • Managing the Information Resource(p. 41)
  • Impact of Information Systems Technology on the Organization(p. 46)
  • The Importance of Systems Thinking(p. 49)
  • Chapter 3 Information Systems in Health Care(p. 56)
  • History of Information Systems in Health Care(p. 57)
  • Distinctions Between Data, Information, and Knowledge(p. 58)
  • Evolution of Information Systems in Health Care(p. 60)
  • Current Applications and Trends in Health-Care Information Systems(p. 66)
  • Clinical Applications and Systems(p. 66)
  • Computer-Based Patient Record (CPR)(p. 73)
  • Administrative and Management Applications(p. 78)
  • Current Trends in Health Information Systems(p. 86)
  • Clinical Information Systems(p. 86)
  • E-Commerce and E-Health(p. 87)
  • Standards Development(p. 88)
  • Privacy and Security(p. 89)
  • Technology Developments(p. 90)
  • Management of the Information Resource and Standards Development(p. 90)
  • The Virtual Health-Care Information System(p. 91)
  • Chapter 4 Strategic Planning for Information Systems(p. 99)
  • Health-Care Organizational Strategic Planning Process(p. 102)
  • Organizing Resources(p. 102)
  • Environmental and Internal Analyses(p. 104)
  • Generating Options and Developing and Enterprise Strategy(p. 111)
  • Information System Strategic Planning(p. 112)
  • Information System Strategic Planning Methods(p. 112)
  • Developing a Customized Information Systems Planning Methodology(p. 116)
  • The Health Information Manager's Role in Strategic IS Planning(p. 120)
  • Chapter 5 Design and Development of Information Systems(p. 127)
  • Systems Development Life Cycle(p. 129)
  • New Approaches and New Tools(p. 132)
  • Information Engineering(p. 132)
  • Object-Oriented Analysis(p. 136)
  • Rapid Application Development(p. 137)
  • Use of New Approaches for Analysis and Design(p. 141)
  • Data Modeling(p. 142)
  • A Definition of Data Modeling(p. 144)
  • Categories of Data Models(p. 146)
  • Content of a Conceptual or Business Data Model(p. 147)
  • Data Modeling Methods and Styles(p. 149)
  • Steps in the Data Modeling Process(p. 152)
  • Developing Data Model Diagrams(p. 162)
  • Martin Information Engineering Style(p. 162)
  • A Sample Data Modeling Diagram Project(p. 170)
  • Translation of the Conceptual Data Model to a Physical Data Model(p. 178)
  • Process Model Techniques(p. 180)
  • Object-Oriented Modeling(p. 188)
  • Chapter 6 Database Management Concepts(p. 197)
  • Database Management Concepts(p. 201)
  • Files, Records, and Fields(p. 201)
  • File versus Database Processing(p. 203)
  • Database Structure Models(p. 208)
  • Database Management System Functions(p. 217)
  • Storing, Retrieving, and Updating Functions(p. 218)
  • Data Dictionary(p. 219)
  • User Interface(p. 220)
  • Transaction Support(p. 220)
  • Data Integrity Services(p. 221)
  • Concurrent Processing Controls(p. 222)
  • Recovery Services(p. 223)
  • Authorization Controls(p. 224)
  • Types of Organizational Databases(p. 225)
  • Transactional Databases(p. 226)
  • Analytical Databases(p. 226)
  • Distributed Databases(p. 227)
  • External Databases(p. 228)
  • Data Warehouses(p. 228)
  • Data Marts(p. 230)
  • Data Mining(p. 231)
  • Functions of Data and Database Administrators(p. 231)
  • Data Administrator Roles(p. 232)
  • Database Administrator Functions(p. 244)
  • Chapter 7 Managing Data Quality(p. 250)
  • The Origins of Data Quality(p. 253)
  • Characteristics of Data Quality(p. 254)
  • Determining the Quality of Data(p. 258)
  • Determining Data Quality Requirements(p. 259)
  • Measuring and Tracking Data Quality(p. 263)
  • Analyzing Results of Monitoring and Tracking(p. 264)
  • Improving Processes That Use and Create Data(p. 265)
  • Implementing Information Systems Data Control Features(p. 265)
  • Chapter 8 Data Retrieval and Analysis(p. 271)
  • Retrieval and Manipulation of Data(p. 273)
  • Structured Query Language(p. 273)
  • Query by Example(p. 285)
  • Analyzing Data(p. 288)
  • Analysis Design(p. 288)
  • Sample Case Data(p. 290)
  • Fundamental Concepts(p. 290)
  • Descriptive Measures(p. 292)
  • Determining Significance and Group Differences(p. 302)
  • Data Presentation Techniques(p. 304)
  • Graphing Data(p. 304)
  • Use of Computer Statistical Packages(p. 311)
  • Chapter 9 Security, Audit, and Control of Health Data(p. 318)
  • Privacy and Confidentiality of Health Data(p. 320)
  • Legislative Protection of Privacy(p. 322)
  • Health Insurance Portability and Accountability Act (HIPAA)(p. 326)
  • Security Fundamentals(p. 327)
  • Protecting Informational Privacy(p. 328)
  • Protecting Data Integrity(p. 330)
  • Ensuring Data Availability(p. 331)
  • Conclusion(p. 332)
  • Establishing a Security Program(p. 333)
  • Components of a Security Program(p. 335)
  • Conclusion(p. 338)
  • Risk Analysis and Management(p. 339)
  • Risk Analysis(p. 340)
  • Sample Risk Assessment(p. 345)
  • Development of Countermeasures(p. 347)
  • Prevention and Control Countermeasures(p. 348)
  • Personnel Security(p. 349)
  • Physical Security(p. 351)
  • Hardware Security(p. 353)
  • Software Security(p. 354)
  • Communications Security(p. 358)
  • Conclusion(p. 359)
  • Business Continuity Planning(p. 359)
  • Goals of the Business Continuity Plan(p. 360)
  • Development and Content of the Business Continuity Plan(p. 360)
  • HIPPA Security Provisions(p. 363)
  • HIPPA Overview(p. 363)
  • Conclusion(p. 368)
  • Glossary(p. 375)
  • Index(p. 383)
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