DRG analysis reveals potential problems, trends.
Specific DRGs are frequently the targets of review if they are connected to errors. But documentation review alone to identify problems may not be sufficient. The author describes a strategy to review aggregate data for two tricky DRGs.
Osborn
C E
CE
Health Information Management and Systems Division, Ohio State University Health Sciences Center, USA. osborn.1@osu.edu
D000368:Aged; D019985:Benchmarking; D003953:Diagnosis-Related Groups / Q000145:classification* / Q000191:economics; D005251:Fees, Medical / Q000706:statistics & numerical data; D017722:Hospital Charges / Q000706:statistics & numerical data; D006801:Humans; D007345:Insurance Claim Review; D002546:Ischemic Attack, Transient / Q000145:classification* / Q000175:diagnosis / Q000191:economics*; D007902:Length of Stay / Q000706:statistics & numerical data; D008500:Medical Records Department, Hospital / Q000592:standards*; D006278:Medicare / Q000191:economics / Q000706:statistics & numerical data; D010351:Patient Discharge / Q000706:statistics & numerical data; D020521:Stroke / Q000145:classification* / Q000175:diagnosis / Q000191:economics*; D014481:United States