Pennsylvania mandates that medical records of all inpatients be abstracted by the MedisGroups
The Ability of MedisGroups
and Its Clinical Variables to Predict Cost and In-Hospital Death.
is a cornerstone of Project HealthVision, Blue Cross and Blue Shield's unique approach to managing health care through the power of information.
physiologic scores were available for this data set.
Admission and Mid-Stay Medisgroups
Scores as Predictors of Death Within 30 Days of Hospital Admission.
For example, original MedisGroups
severity scores predict Medicare mortality about as well as HCFA UB-82 based models, while original MedisGroups
severity scores plus diagnostic information improve predictive power only modestly.
In addition, the medical records for each participant were abstracted by trained abstractors, using a modification of the Medisgroups
method, and Medicare data were summarized for the years before and after the hospitalization.
Patient data were augmented with information from the patient's medical record using a modification of the Medisgroups
approach (Iezzoni and Moskowitz, 1988).
We had excellent data-reporting systems, both Medisgroups
After abandoning the more costly MedisGroups
system, for example, agencies in both Iowa and Colorado selected APR-DRGs to risk-adjust charge and mortality data from acute care hospitals (Iezzoni 1997b).
Of the latter type, the two best known are Computerized Severity Index (CSI) by Health Systems International (HSI) and MedisGroups
(MGP) by MediQual.
The 1991 and 1992 MedisGroups
National Comparative Data Base (MediQual Inc.