On Monday, October 17 Ardent Health Services (Ardent Health), a 14-hospital health system that serves areas of Texas, Oklahoma and New Mexico, presented at the 2016 AHIMA Convention & Exhibit. The educational session, presented by Adrienne Younger, RN, CCDS, Manager of CDI Education and Trevor Snow, RHIA, Vice President of Health Information Management, focused on their ability to create a single clinical documentation system across its three-state health system.
With the increase in coding complexity post ICD-10 adoption, Ardent Health knew that they needed to better understand how coding and documentation would affect their bottom line. To pinpoint trends and opportunities for improvement, they created a Health Information Integrity (HII) program to ensure claims accuracy. Using data analytics, Ardent was able to:
- Ensure documentation accurately reflects patient acuity and the level of care provided
- Improve unspecified and secondary diagnosis code usage
- Identify opportunities for education and training
- Facilitate compliance and mitigate audit and take-back risk
- Standardize reporting with customized, role-based views
- Conduct DRG audits centered on data insights and share results with leadership
To learn more about Ardent's success story, click here. For more information about how data can improve your CDI efforts under ICD-10, visit our Revenue Integrity solution page.
Get our take on industry trends
Why managed Medicaid/Medicare health plans need analytics to improve outcomes
Managed care organizations that provide healthcare services to Medicare/Medicaid members are dedicated to improving the health and wellness of these underserved populations, especially those living in rural areas.
Read on...Using consumer analytics to steer health-related decisions
Companies tap into what people like to eat and drink, how we purchase consumables, where we like to shop, what shows we might like to stream, whether we vote, and so on. If you have ever created a profile on a streaming application (think Netflix or Amazon), you will receive recommended books, movies and other items just as soon as you start surfing.
Read on...Run: Bringing Data Science into your Organization
In this three-part series, we’ve been detailing a tiered approach to introducing and incorporating data science into your organization. In Part One: Crawl and Part Two: Walk, we discussed how to get started from scratch and start building out a dedicated data science program. Today, we’ll dive into the third and final phase to see how to grow quality, centralize governance, incorporate user feedback, and more.
Read on...Walk: Bringing Data Science into your Organization
In this three-part series, we’re exploring a tiered approach to introducing and incorporating data science into your organization. In Part One: Crawl, we discussed how to get started from scratch. Today in Part Two: Walk, we’ll address issues that may emerge and how to overcome them, how to build out a dedicated data science team, and more.
Read on...