Shafay Shamail, Ph.D. Associate Professor Spring 2002, Spring 2003

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CS 578 Information Technology Architecture Lecture 3-4 HCFA Case Study March 12, 2002 March 18, 2003 Shafay Shamail, Ph.D. Associate Professor Spring 2002, Spring 2003 Lahore University of Management Science

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CS 578 Information Technology Architecture Lecture 3-4 HCFA Case Study March 12, 2002 March 18, 2003. Shafay Shamail, Ph.D. Associate Professor Spring 2002, Spring 2003 Lahore University of Management Science. Information Architecture. A Case Study - PowerPoint PPT Presentation

Transcript of Shafay Shamail, Ph.D. Associate Professor Spring 2002, Spring 2003

Page 1: Shafay Shamail, Ph.D. Associate Professor Spring 2002, Spring 2003

CS 578Information Technology Architecture

Lecture 3-4HCFA Case Study

March 12, 2002March 18, 2003

Shafay Shamail, Ph.D.

Associate Professor

Spring 2002, Spring 2003

Lahore University of Management Science

Page 2: Shafay Shamail, Ph.D. Associate Professor Spring 2002, Spring 2003

Information Architecture

A Case Study

Health Care Financial Administration (HCFA)

Page 3: Shafay Shamail, Ph.D. Associate Professor Spring 2002, Spring 2003

Information Architecture

• Information Environment– External factors

• Business and technology trends• Legislative activity• Public expectations

– Internal factors• Overall business situation• Existing technology investment• Geographically dispersed workforce

Page 4: Shafay Shamail, Ph.D. Associate Professor Spring 2002, Spring 2003

Information Architecture• Information Needs

– Major Program Needs• Knowledge about beneficiary characteristics, needs and awareness• Comparative data, benchmarks and quality indicators• Cost and financial data• Outcome and assessment data• Knowledge of customer expectations and satisfaction

– Needs Related to Public Responsiveness• Integrated health information• User empowering, internet based access to information assets

– Needs Related to Management of Human and Technology Resources

• Workforce skill, training needs, satisfaction, required competencies, industry trends in HRD and HRM

• Knowledge of IT trends• Best practices

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Information Architecture

• Information Architecture Strategic Direction– Having well managed enterprise databases

within the core, accessed through standardized interfaces

Page 6: Shafay Shamail, Ph.D. Associate Professor Spring 2002, Spring 2003

Information Architecture

• Definitions– Data

• A representative of facts, ideas, or instructions in a formalized manner suitable for communication, interpretation, or processing by humans or by automatic means

– Information• Data that has been transformed to have business relevance through the

analytical behaviour of a human; data in a meaningful association or context

– Knowledge• Information that has been given business value through the interpretive

or reflective bahaviour of a human

– Meta data• Other data; all kinds of recorded information

Page 7: Shafay Shamail, Ph.D. Associate Professor Spring 2002, Spring 2003

Information Architecture

• Data Architecture– Provides a set of data management policies and

operating procedures for defining how data will be managed and structures throughout the enterprise

• Information Architecture– provides a framework of strategies, principles,

guidelines, standards, and models that describe major types of business information and guide the management of information assets throughout the enterprise.

Page 8: Shafay Shamail, Ph.D. Associate Professor Spring 2002, Spring 2003

Information Architecture

• Major Goals– Insulating operational (transactional processing)

systems from large ad hoc queries

– Providing access to data not always available in operational systems (summary, historical)

– Providing a cross-functional view of data and information

– Enabling better end user access through standardized data access methods and business intelligent tools

Page 9: Shafay Shamail, Ph.D. Associate Professor Spring 2002, Spring 2003

Information Architecture

• Target Information Architecture– Transactional data stores– Unstructured data and information– Metadata stores– Staged data– Analytical data stores

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Information Architecture Features

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Information ArchitectureDecision Support Data Flow