2022 Stronger - PH334 - Clinical Documentation Integrity: Improving Capture of Risk Variables - On Demand
Join us for a panel discussion and hear how two health care organizations leveraged technology to accurately capture conditions present on admission and integrate them into the electronic medical record (EMR).
M Health Fairview built an information technology solution that leverages discrete EMR data to identify and fully automate documentation of conditions present on admission in provider history and physical and progress notes. The organization will share how this favorably impacted both capture and mortality rates.
NYU Langone leaders will explain how they created a powerful template to streamline documentation and a tableau dashboard to track utilization and drive feedback. They will also share how they employ an artificial intelligence learning tool and a 5C’s rubric they created to grade medical documentation: complete, concise, contingency planning, correct and clinical assessment.
Target Audience
- Healthcare Quality Professionals
- Nurses
- Physicians
- Other Healthcare Professionals
Learning Objectives
Identify opportunities for improvement in documentation and coding, specific to mortality.
Identify a collaborative and highly reliable solution to improve capture of conditions present on admission.
Describe five key components of quality in medical documentation.
Discuss the power of machine learning in driving change around improved clinical documentation.
Additional Information
Attachment | Size |
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PH334.pdf | 1.58 MB |
Faculty
Nissa Perry, MA, LSSBB, Senior Improvement Advisor, M Health Fairview, St. Paul, MN
Melissa Haala, RHIA, CCS, Manager, Inpatient Coding, M Health Fairview, Minneapolis, MN
Bradley Burns, DO, MBA, FACOEP, Director of Physician Informatics for Emergency Medicine, M Health Fairview, Minneapolis, MN
Katherine A. Hochman, MD, Director, Division of Hospital Medicine and Associate Chair for Quality (Medicine), NYU Langone Health, New York, NY
Adam J. Goodman, MD, Director of Quality, Medicine, NYU Langone Brooklyn, Brooklyn, NY
Ulka Kothari, MD, Pediatric Physician Informaticist and Director for Ambulatory Quality, Children's Services, NYU Hospital Long Island, NYU Langone Hospital, New York, NY
Disclosure
Credit Types
Nurses (CNE)
Vizient, Inc. designates this enduring material for a maximum of 1.00 ANCC contacts hours.
Physicians (CME)
Vizient, Inc. designates this enduring material for a maximum of 1.00 AMA PRA Category 1 Credit(s)™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.
Healthcare Quality Professionals (CPHQ)
This activity is approved by NAHQ® for 1.00 CPHQ CE credits.
Other Healthcare Professionals (General CE Credit)
Vizient, Inc. will award a maximum of 1.00 contact hours to all other healthcare professionals who successfully complete the activity. These individuals will receive a Certificate of Participation indicating the maximum credits available.
Many state licensing boards and credentialing bodies accept certificates of participation from accredited CE activities to meet CE requirements for license renewals and re-certification. It is the responsibility of the participant to contact their state licensing board and/or certifying body for verification on credit eligibility reciprocity.
Available Credit
- 1.00 AMA PRA Category 1 Credit™
- 1.00 ANCC
- 1.00 CPHQ – Certified Professional Healthcare Quality
- 1.00 General CE - Attendance