APCD Questions Relating to Data Quality? FHC Answers.


FHC Data Analyst, Rik Ganguly, provides his answers for what APCDs have learned about data quality:

What are APCDs learning about Data Quality?

FHC Data Analyst Rik Ganguly answers:

1. Build multiple tiers of data quality checks to examine the data from different perspectives and at different stages of processing/file creation.

2. Ensure prompt feedback to submitters after each layer of checking.

3. Design a reporting strategy that parallels data maturity – cleaner data supports more refined and detailed analysis.

4. Be transparent: acknowledge that a large dataset drawn from many disparate sources will have data quality issues. Explain your strategy for tackling them.

5. Create clear communication channels about data quality for all those that touch the data: intake standards, data aggregation vendor’s processes, the analytic vendor’s transformations and insight from the user community.

6. Be sure that, as administrator, you have access to the raw data. Only by working closely and deeply in the raw data can most quality problems be identified and diagnosed. It is not enough to trust this to your data vendor.

7. Work closely with your data submitters. Forging a collaborative relationship will make this a better experience for you all.


FHC helps APCDs and other multi-payer groups build and implement data quality strategies. For more information, contact Rik at rganguly@freedmanhealthcare.com or 617-243-9509 x207.




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