title: Implementing a computer-assisted appropriateness review using DRG 182/183.
abstract: BACKGROUND
  The focus on patient outcomes as performance measures and on processes of care as systems to improve is intensifying. Nevertheless, appropriateness reviews are likely to remain essential (for example, studies evaluating inpatient admission, laboratory testing, invasive procedures, and discharge planning) for several reasons.
  
  
  METHODS
  Forbes Regional Hospital (Monroeville, PA) undertook to redesign the process of appropriateness reviews using a computer-assisted methodology. The change was predicated on accessing electronically recorded clinical data collected as part of a state-mandated discharge reporting requirement.
  
  
  RESULTS
  More than 90% of diagnosis-related group 182/183 (gastrointestinal/esophagitis) admissions were deemed appropriate on the basis of later manual reviews. This redesign was accomplished at no added expense while the amount of time required to complete the study was decreased. The ability to easily examine relationships identified during the evaluation was also expanded. The experience led to greater enthusiasm on the part of the medical staff to pursue more quality improvement projects. Creation of software programs that can be used repeatedly, modified to change existing thresholds, or expanded to include other conditions was another benefit. Clinicians gained valuable experience and familiarity with information systems. Lastly, all this was accomplished without purchasing new hardware, acquiring updated software, or relying on the presence of an electronic medical record.
authors.affiliation: Forbes Health System, Monroeville, PA 15146-3592, USA.
authors.forename: C
authors.initials: C
authors.lastname: Henzler
authors.forename: J J
authors.initials: JJ
authors.lastname: Harper
mesh_terms: D003211:Concurrent Review / Q000379:methods*; D003661:Decision Support Techniques; D003953:Diagnosis-Related Groups / Q000706:statistics & numerical data*; D004941:Esophagitis / Q000453:epidemiology*; D005260:Female; D005767:Gastrointestinal Diseases / Q000453:epidemiology*; D006745:Hospital Bed Capacity, 300 to 499; D006764:Hospitals, Community / Q000592:standards / Q000706:statistics & numerical data*; D006801:Humans; D008297:Male; D010043:Outcome and Process Assessment, Health Care; D010343:Patient Admission / Q000592:standards; D010414:Pennsylvania; D011785:Quality Assurance, Health Care / Q000706:statistics & numerical data*; D012984:Software