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Here’s What You May Not Know About Artificial Intelligence

Here’s What You May Not Know About Artificial Intelligence

Find out why “machine learning” is the most important part of the AI puzzle.

Artificial intelligence (AI) is an ever-expanding field within the world of healthcare. While the possibilities for future expansion are seemingly endless, AI has already made an imprint on everything from coding and billing automation to the harnessing of patient data for chronic care management.

In fact, the feds have even begun to use AI’s ability to garner data as a means of tracking healthcare providers for fraud detection. To avoid falling under the crosshairs of one of these AI algorithms, it’s essential that you’re able to deconstruct the concept of AI into its respective elements.

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Renee Dustman
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Renee Dustman, BS, AAPC MACRA Proficient, is managing editor - content & editorial at AAPC. She holds a Bachelor of Science degree in Media Communications - Journalism. Renee has more than 30 years' experience in journalistic reporting, print production, graphic design, and content management. Follow her on Twitter @dustman_aapc.

4 Responses to “Here’s What You May Not Know About Artificial Intelligence”

  1. Jean Goodwill says:

    That’s nice.

  2. Olivia Woodstone says:

    That’s helpful.

  3. Tamara Thivierge says:

    This is interesting because I have read about blockchain technology and data mining in health care. From what I gather both are data bases maintain different medical information to analyze. Blockchains store data in blocks that are then chained together in chronological order to share with those who control the data . This is similar to electronic health records. Whereas data mining is the extraction of hidden predictive information from large medical database which helps in predicting future trends and behavior thereby helping management make knowledge driven decisions. Data mining can use the risk management issues, or analyze patient population information such as:, ROM, DRGS, surgeries, type of chronic disease, homelessness, Cancer, or LGBT patients, ETC. I imagine creating audit report on coders accuracy, physicians documentation, amount of type of denials per payers can take be taken into account this way.

  4. Tamara Thivierge says:

    Interesting data. I have read about blockchain and data mining technology. I do not think they are the same, but closely related. Data mining is creating HIM reports to analyze or compare different illness, chronic conditions, types of surgeries, comorbidities, homeless patients, list of denials per payer , or accuracy of coders work for managing better. Whereas blockchain is collecting computerized data (many options) in a chronological order. Example of blockchain maybe the CAQH data base of physician credentialing with insurance payers or financial accounting reports.