Advancing CDI Together

This article is the second in a three-part series on artificial intelligence (AI) in the health information management (HIM) revenue cycle field. Part 1 focused on what AI is and how it can benefit the healthcare revenue cycle, and Part 3 will focus in-depth on AI use cases present in healthcare today. In the first part of this three-part artificial intelligence (AI) series, we covered “What Is AI, and How Can It Benefit the Healthcare Revenue Cycle?” In the next part of our...

Guidelines for Achieving a Compliant Query Practice was produced through the joint effort of the Association of Clinical Documentation Integrity Specialists (ACDIS) and the American Health Information Management Association (AHIMA).

This article is the second in a three-part series on artificial intelligence (AI) in the health information management (HIM) revenue cycle field. Part 1 focused on what AI is and how it can benefit the healthcare revenue cycle, and Part 3 will focus in-depth on AI use cases present in healthcare today. In the first part of this three-part artificial intelligence (AI) series, we covered “What Is AI, and How Can It Benefit the Healthcare Revenue Cycle?” In the next part of our...

This article is the first in a three-part series on artificial intelligence (AI) in the health information management (HIM) revenue cycle field. Part 2 will focus on considerations for evaluating and planning for AI technology, and Part 3 will focus in-depth on AI use cases present in healthcare today. Once upon a time, artificial intelligence (AI) was a thing of science fiction. Talking cars that navigate themselves and robot assistants that deliver our needs before we realize we need...

Note: ACDIS and AHIMA request that all professionals review and comment on the attached update to the Guidelines for Achieving a Compliant Query Practice brief by Tuesday, October 25, using this link (https://www.surveymonkey.com/r/3S38QFT).