title: Hospital rules-based system: the next generation of medical informatics for patient safety.
abstract: OBJECTIVE
  The hospital rules-based system (HRBS) and its subsystems at a major medical center are described.
  
  
  CONCLUSIONS
  The HRBS was implemented at the Mayo Clinic to rapidly identify and communicate crucial information to the clinician in order to optimize patient care. The system also enhances workload efficiency and improves documentation and communication. The system is used by the infectious-diseases division, pharmacy services, nutritional support services, infection control, and the nursing department. The six HRBS subsystems are Web-based programs that share a common structural design and integrate computerized information from multiple institutional databases. The integrated data are presented in a user-friendly format that improves the efficiency of data retrieval. Information, such as monitoring notes and intervention information, can be entered for specific patients. The subsystems use rules designed to detect suboptimal therapy or monitoring and identify opportunities for cost savings in a timely manner.
  
  
  CONCLUSIONS
  The HRBS enhances the identification of drug-related problems while optimizing patient care and improving communication and efficiency at a major medical center.
authors.affiliation: Pharmacy Services and Division of Infectious Diseases, Mayo Clinic, Rochester, MN 55905, USA. wilson.john@mayo.edu
authors.forename: John W
authors.initials: JW
authors.lastname: Wilson
authors.forename: Lance J
authors.initials: LJ
authors.lastname: Oyen
authors.forename: Narith N
authors.initials: NN
authors.lastname: Ou
authors.forename: M Molly
authors.initials: MM
authors.lastname: McMahon
authors.forename: Rodney L
authors.initials: RL
authors.lastname: Thompson
authors.forename: Janice M
authors.initials: JM
authors.lastname: Manahan
authors.forename: Kevin K
authors.initials: KK
authors.lastname: Graner
authors.forename: Jenna K
authors.initials: JK
authors.lastname: Lovely
authors.forename: Lynn L
authors.initials: LL
authors.lastname: Estes
mesh_terms: D006751:Hospital Information Systems / Q000458:organization & administration / Q000639:trends*; D006801:Humans; D008492:Medical Informatics Computing / Q000639:trends*; D008508:Medication Errors / Q000517:prevention & control* / Q000706:statistics & numerical data; D010607:Pharmacy Service, Hospital / Q000458:organization & administration*; D011785:Quality Assurance, Health Care; D014481:United States