University of Pennsylvania · Mathematics & StatisticsAI-Powered Clinical Documentation Lab
Kevin B. Johnson · Philadelphia, Pennsylvania
Research Focus
Dr. Kevin B. Johnson's lab focuses on leveraging artificial intelligence to enhance the efficiency of clinical documentation in healthcare. The team's research aims to reduce the burden of documentation on clinicians by developing algorithms that can automate the process of summarizing patient-clinician encounters. This innovative work aims to improve healthcare delivery while addressing clinician burnout and enhancing the overall quality of patient care.
AI in healthcareclinical documentationnatural language processingmachine learningcomputer visionelectronic health recordsreal-time data analysisdeep learningpediatric informatics
Research Aims
5AIM 01Develop algorithms to automate clinical documentation processes.
AIM 02Utilize AI to analyze patient-clinician interaction data.
AIM 03Explore new methods for summarizing electronic health record information.
AIM 04Investigate implicit bias in clinical encounters using AI.
AIM 05Improve the efficiency of healthcare documentation to alleviate clinician burden.
Skills the Lab Values
natural language processingmachine learningcomputer vision techniquesdata analysisalgorithm developmentvideo analysisdeep learningclinical data managementexperimental design
Output against the department
Publications187bottom 39% of dept.80th of 131
this lab
most publishedleast published
Citations7.7kbottom 49% of dept.67th of 131
this lab
most citedleast cited
Career totals from OpenAlex, compared against labs that share a department. A department spans everything from one paper to tens of thousands, so bar heights are on a log scale — otherwise the largest lab would flatten every other bar to a line.