The partnership, announced in April, hopes to improve the accuracy of medical coding for cancer care.
Healthcare continues to embrace technology in different areas and artificial intelligence is finding its second wind in cancer care.
In April, Moffitt Cancer Center announced its partnership with NVIDIA, Oracle, and Deloitte to use AI and machine learning technology to address operational challenges—particularly regarding medical coding for cancer and comorbidity.
The goal of the initiative is to improve the accuracy of clinical documentation for conditions besides cancer that could affect the care a patient receives. Findings will be used to improve clinical quality and help automate medical coding for cancer care.
“This collaboration represents a significant step forward in our mission to provide our patients with the highest quality cancer care,” Dana Rollison, vice president, chief data officer, and associate center director of data at Moffitt, said in a statement.
“By leveraging artificial intelligence and machine learning technologies, we can unlock new insights, streamline workflows, and ultimately improve patient outcomes.”
Previously, HealthLeaders examined the results of a study from the Icahn School of Medicine at Mount Sinai on the accuracy of large language models when used for medical coding. Each of the three models evaluated for the study showed limited accuracy in reproducing the initial medical codes.
“Our findings underscore the critical need for rigorous evaluation and refinement before deploying AI technologies in sensitive operational areas like medical coding,” Ali Soroush, MD, MS, assistant professor of data-driven and digital medicine at Ichan Mount Sinai, said in a statement.
The findings from Moffitt’s initiative will also be implemented in the organization’s overall AI/machine learning strategy, with emphasis on improving clinical documentation and coding accuracy, using data quality analysis to enhance governance, and optimizing the revenue cycle by reducing claim denials.
Moffitt Cancer Center will be participating in our upcoming Mastermind program centered around revenue cycle and finance AI. The HealthLeaders Mastermind program acts as an advisory board, bringing together the best and most successful health systems in revenue cycle/finance AI. For questions about joining, contact Content Director Amanda Norris at anorris@healthleadersmedia.com.
Jasmyne Ray is the revenue cycle editor at HealthLeaders.
KEY TAKEAWAYS
Studies have shown large language models have limited accuracy when prompted with medical coding tasks.
The partnership will utilize AI and machine learning technology to address this challenge, as well as improve clinical quality.
Moffitt Cancer Center will be participating in our upcoming Mastermind program and will share best practices and lessons learned in revenue cycle and finance AI.