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The Andersen healthcare utilization model is a conceptual model aimed at demonstrating the factors that lead to the use of health services. According to the model, the usage of health services (including inpatient care, physician visits, dental care etc.) is determined by three dynamics: predisposing factors, enabling factors, and need.
Health care analytics is the health care analysis activities that can be undertaken as a result of data collected from four areas within healthcare: (1) claims and cost data, (2) pharmaceutical and research and development (R&D) data, (3) clinical data (such as collected from electronic medical records (EHRs)), and (4) patient behaviors and preferences data (e.g. patient satisfaction or retail ...
Data mining is a particular data analysis technique that focuses on statistical modeling and knowledge discovery for predictive rather than purely descriptive purposes, while business intelligence covers data analysis that relies heavily on aggregation, focusing mainly on business information. [4]
These indicators supply health care leaders with data to evaluate the organization’s performance in order to design strategic QI planning. The indicators are limited to 13 non-disease specific measures that provide system-level indications of quality, applicable to both inpatient and outpatient settings and across the continuum of care.
Data collection or data gathering is the process of gathering and measuring information on targeted variables in an established system, which then enables one to answer relevant questions and evaluate outcomes. Data collection is a research component in all study fields, including physical and social sciences, humanities, [2] and business ...
Healthcare quality and safety require that the right information be available at the right time to support patient care and health system management decisions. Gaining consensus on essential data content and documentation standards is a necessary prerequisite for high-quality data in the interconnected healthcare system of the future.
Tukey defined data analysis in 1961 as: "Procedures for analyzing data, techniques for interpreting the results of such procedures, ways of planning the gathering of data to make its analysis easier, more precise or more accurate, and all the machinery and results of (mathematical) statistics which apply to analyzing data."
The method is applied by first mapping the relationships among people, tasks, groups, knowledge and resources of organizational systems. Then, analyzing the collected data with a social network analysis software in order to find organic clusters, opinion leaders, peripheral and bridging actors, indirect relations that are otherwise invisible.