Data Quality in Health Facilities:
Describe the problems of having poor data quality and make
recommendations to create an environment that promotes data quality and a
plan for the organization to improve data quality.
Importance of High-Quality Data in Healthcare
Enable healthcare providers to accurately and more efficiently diagnose patient thus
reduced medical error and safer health care.
Enables clinicians to make informed decisions through accurate and up-to-date patient
information at the point of care hence high-quality care.
High-quality data means better performance in health facilities.
Help clinicians to improve work productivity and easy meeting of their business goals.
Reduced overall cost of health care due to the improved coordination of health care
services and improved safety.
Easy to monitor health, evaluate and improve healthcare services delivery
Impact of Poor Data Quality in Health Facilities
Increased medical errors, misdiagnose and medical malpractice
Increased health cost due to poor quality care.
Reduced patient safety and care
Reduced performance by health providers
Increased time consume and time wastages as it become hard to access
accurate patient records
Causes of Poor Quality Data
Poor interface design
Lack of system to correct the detected errors
Lack of control over adherence to guideline and data definitions.
Illegible handwriting from the data sources
Characteristics of High-quality Data
Current and timely
Recommendation for Improving Data quality in
Recruiting a data governance group
Establish and implement clear guideline on definitions and data entry formats
Creating domain definitions
Giving inadequate time for data entry
Data profiling to uncover data defects
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