Working with the Electronic Health Record and Laboratory Information System to Maximize Ordering and Reporting of Molecular Microbiology Results.

Journal: Clinics in laboratory medicine
Published Date:

Abstract

Molecular microbiology assays have a higher cost of testing compared to traditional methods and need to be utilized appropriately. Results from these assays may also require interpretation and appropriate follow-up. Electronic tools available in the electronic health record and laboratory information system can be deployed both preanalytically and postanalytically to influence ordering behaviors and positively impact diagnostic stewardship. Next generation technologies, such as machine learning and artificial intelligence, have the potential to expand upon the capabilities currently available and warrant additional study and development but also require regulation around their use in health care.

Authors

  • Meghan W Starolis
    Molecular Infectious Disease, Quest Diagnostics, 14225 Newbrook Drive, Chantilly, VA 20151, USA. Electronic address: meghan.w.starolis@questdiagnostics.com.
  • Mark A Zaydman
    Department of Pathology & Immunology, Washington University School of Medicine, Campus Box 8118, 660 South Euclid Avenue, St Louis, MO 63110, USA.
  • Rachael M Liesman
    Clinical Microbiology and Molecular Diagnostics Pathology, Department of Pathology, Medical College of Wisconsin, 9200 West Wisconsin, Milwaukee, WI 53226, USA.