The Common Data Quality Problem In Healthcare Performance Measurement

850 Words 4 Pages
• The common data quality problem in healthcare performance measurement is:
First, the lack of knowledge about the purpose of healthcare performance measurement. The purpose is to:
- Assessment of current performance: need to find out the strength and weakness of current process
- Demonstration and verification of performance improvement: evaluate and compare whether the improvement had made any difference.
- Control of performance (Joshi, Ransom, Nash, & Ransom, 2014, p.135)
Second, the organization needs to have a strategic plan, select an effective performance measure to measure the three components of quality which are structured, process and outcomes. It is important to analysis, which method of data collection to be to use. There are
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The threats associated with poor quality of data will result in ineffective performance improvement process. Data for quality improvement should be:
- Relevant to the organization’s goal, mission, vision, values and objectives, otherwise it would not help the organization improve their quality.
- Reliable, consistence and valid to identify problems in the health care setting. For example, if there was bias or false data was recorded to show better results then the organization would not be able to know where the improvement is needed.
- Precise definition and specification: the data measured should be collected and calculated in the same way for each organization. For example, when comparing a standard to a complaint batch, I have to weight each sample with the same raw material, evaluations has to be done under the same temperature and condition. In doing so it helps to get accurate results and find out the root cause of a complaint and implement the necessary
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Give two examples of areas where you can identify a balanced set of measures. Chap5

The two examples where I can identify a balanced set of measures are the medical Record Review (retrospective) and health plan databases. A balanced set of measure would include outcomes, process and balancing measures. These two ways of collecting data helps leaders, stakeholders and those involved to see and evaluate how the strategic plan is performing, where improvement is needed or to get an overall picture how things are going (“Measuring Safety Improvement”, 2012). “Retrospective data collection involves identification and selection of a patient’s medical record or group of records after the patient has been discharged from the hospital or clinic” (Joshi, Ransom, Nash, & Ransom, 2014, p.117). The patient’s medical and financial coding functions are used in the review. This method of data collection is considered to be a reliable and one of the main source of data collection for many reasons. EMR data can be tracked over time, includes medical and clinical data, great tool in finding the reason behind a given

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