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Data accuracy using automated workflow processes

Posted by FlowWright on Jun 5, 2019 11:42:45 AM

Many biotechnology, pharmaceutical and medical device companies collect data in batch records, but sometimes the data is collected manually, possibly from event digital instruments. Why is this important, and how can you ensure the data is accurate when you have manual processes in place?

This type of data needs to get to an electronic form where data can be analyzed by tools and analysts.  The big question: how do you get this data into an electronic form with the highest level of data accuracy, yet the least amount of errors?

Our customers who use our product specifically for data collections they are able to use forms based workflow processes within FlowWright.  Forms are routed for data collection by the workflow process, but the forms are packed with rules to make sure data entered is valid.  Given they are packed with validation that ensures the field values are within ranges.

The workflow process sounds complex, but can actually be very simple, but the key ingredient when using this type of process is the kick backs, where the reviewer/reconciliator can send the data form back to data entry to correct the data errors.  Even at the last point of the process, the data exporter can send the data form back to the reconciliator or the data entry person.

At the end of the day, you want your results to be accurate,  if you have bad data, your analyzed results are bad.  Use FlowWright workflow to make sure your manual data is converted to electronic data with the highest accuracy.  

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Topics: workflow processes, data security