Clinical Documentation and Patient Care Using Artificial Intelligence in Radiation Oncology

J Am Coll Radiol. 2019 Sep;16(9 Pt B):1343-1346. doi: 10.1016/j.jacr.2019.05.044. Epub 2019 Jun 22.


Detailed clinical documentation is required in the patient-facing specialty of radiation oncology. The burden of clinical documentation has increased significantly with the introduction of electronic health records and participation in payer-mandated quality initiatives. Artificial intelligence (AI) has the potential to reduce the burden of data entry associated with clinical documentation, provide clinical decision support, improve quality and value, and integrate patient data from multiple sources. The authors discuss key elements of an AI-enhanced clinic and review some emerging technologies in the industry. Challenges regarding data privacy, regulation, and medicolegal liabilities must be addressed for such AI technologies to be successful.

Publication types

  • Review

MeSH terms

  • Artificial Intelligence / statistics & numerical data*
  • Documentation / methods*
  • Documentation / trends
  • Female
  • Forecasting
  • Humans
  • Male
  • Patient Care / methods
  • Quality Improvement*
  • Radiation Oncology / methods*
  • Radiation Oncology / trends