Intermountain Healthcare Improves Quality Metrics Through Risk Adjustment and Physician Engagement

Intermountain Health is a non-profit healthcare provider based in Salt Lake City. They operate 33 hospitals and 400 clinics and provide around $330 million annually in charity care. The hospital has been focused on expanding its Clinical Documentation Integrity (CDI) footprint and making an impact on publicly reported data. To do this, they have been using risk adjustment, physician advisors, and Computer Assisted Physician Documentation (CAPD) to improve outcomes.

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Leadership Engagement and Strategic Alignment

To successfully engage physicians in expanding equality metrics, it’s important to identify stakeholders and influencers, pilot initiatives, have objective data about opportunities, make sure the initiative is patient-centric, emphasize safety and transitions of care, and focus on workflow. Intermountain Healthcare provides clear, attributable data to leaders, tailors their message to what leadership is looking for, and creates a workflow that captures physicians in the moment. They also ensure that leaders take ownership of the outcomes and understand that publicly reported outcomes reflect on them.

Physician Engagement and Technology

Intermountain Healthcare uses 3M technology to improve physician engagement. They offer high-impact and brief education sessions to frontline providers. They implemented a “pill bar” to help physicians to document conditions that may be missing from medical records and adds risk adjustment and acuity to publically reported data. 20% of “nudges” from the technology were resolved within one to two days of the length of stay, and more than two-thirds of all nudges were resolved within the first two days. The technology has helped leverage the hospital’s resources, adding the equivalent of 4.6 additional nurses to the team.

Outcome and Conclusion

The culture at Intermountain Healthcare is focused on the patient and their story. To increase engagement, they leveraged physician advisors like Dr. Bailey, developed criteria for nudges with the help of subject matter experts, and used artificial intelligence to identify clinical indicators for evidence sheets for nurses. Implementation of a stop-gap process allows nurses to see potential conditions that were not seen by physicians. Outcomes of this project include increased accuracy in risk adjustment for publicly reported data, such as mortality rates. Leadership involvement was key in making sure the project was successful.

Note: This is an AI generated transcript, not edited by a staff writer and is solely intended for educational purposes. If you have any questions/concerns, reach out to events@beckershealthcare.com

This panel was live on 04/04/2023 at the event listed here.

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