Just Data In, Data Out? Nope!

“The goal is to turn data into information, and information into insight.”
— Carly Fiorina, former CEO of HP from 1999 to 2005, first woman to lead a top-20 company

“In God we trust. All others must bring data.”
– W. Edwards Deming, statistician, engineer, professor, author, lecturer, and consultant

“If we have data, let’s look at data. If all we have are opinions, let’s go with mine.”
– Jim Barksdale, former Netscape CEO

 

Medical credentialing and enrollment professionals know better than most: Data collection and entry is only half the battle. What matters most is ensuring the integrity and accuracy of the information you track down, populate in the database and on applications, run in reports, and present to payers, committees, and others in the decision-making process.

Data QA

Success for credentialers is applying and interpreting data so that no practitioner achieves the ability to provide a service or procedure, be on an insurance panel, or join the medical staff until they’ve proven they’ve met certain milestones: education, training, certification, etc. In other words, when data is of excellent quality, it can be easily processed and understood. It can be shared and interpreted to aid the organization in making the best decisions. When the data is bad, healthcare safety and quality are in jeopardy.

The quality review of entering providers into the database is also known as quality assurance. Is your QA process cursory or comprehensive? This week, we provide a starting point for the initial phases of data treatment in the verification and enrollment phases. Click here to download a sample QA process for data entry prior to PSV.