Conceptual Map, Data Quality and Integration - Essay Example

Patient data is useful in healthcare organizations’ departments on different operating systems like healthcare business, systems for reporting purposes, and systems for healthcare business intelligence, for example, data marts, data warehouses, and online analytical processing (OLAP ) systems.

The framework ensures high-quality data and integrated patient data. Ensuring high-quality data involves cleansing, standardization, enhancement, consolidation, and quality data collection.

Quality data collection enhances the quality of services offered as measured by a focus on patients’ needs, speed of response to inquiries and problems, and accuracy of information. It also enhances the quality of information as measured by timeliness, accuracy, accessibility, completeness, relatability, uniqueness, and validity.

Approaches for incorporating data quality into the CRM data warehouse include defining data quality expectations and metrics, which can be done by the use of metadata or data quality metrics, identifying poor data and its limitations, assessing data quality limitations, and improving data quality through human experts or state-of-the-art tools.
Data integration is essential for a unified view of the patients. It also allows a combination o information on patients’ products and a better understanding of patients’ needs and its findings are useful in planning, marketing, and sales efforts. Data integration tools include statistical modeling, campaign management, and data mining.

Conclusion
All these lead to improved data quality and subsequently lead to improved results, reduced cost, and informed healthcare decisions. They also improve patients’ acquisition and retention, enhance customer services, increase patients’ loyalty and preference, and maximize the lifetime value of each patient. Read More