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Towards an outcomes management informational processing architecture
R E Gilbreath1, J Schilp, R Pickton
1Primary Care Concepts/Alliance Health Providers, Dallas, TX, USA.
Summary
Achieving healthcare excellence requires robust information systems for outcomes management. This study proposes an architecture to analyze essential enterprise data for improved patient care.
Area of Science:
- Health Informatics
- Information Systems
- Healthcare Management
Background:
- Healthcare delivery demands high reliability and accuracy.
- Effective outcomes management is crucial for quality improvement.
- Existing information systems may not fully support comprehensive data analysis.
Purpose of the Study:
- To propose an information system architecture for healthcare outcomes management.
- To define essential subcomponents for analyzing enterprise data.
- To support the imperative of 'doing it right the first time' in healthcare.
Main Methods:
- Conceptualization of an informational processing architecture.
- Definition of key subcomponents for data analysis.
- Focus on enterprise-level data integration.
Main Results:
- A proposed architecture for healthcare information systems.
- Identification of critical subcomponents for outcomes management.
- Framework for analyzing essential enterprise data.
Conclusions:
- Implementing a well-defined information system architecture is vital for healthcare outcomes.
- The proposed architecture supports data-driven decision-making.
- Focusing on data analysis is key to achieving 'right the first time' healthcare.