"A Clinical Assessment of MedisGroups
." Journal of American Medical Association 260 (21): 3159-63.
Validation of a pneumonia prognostic index using the MedisGroups
Comparative Hospital Database.
The Pennsylvania system, which uses the Atlas (MedisGroups
) statistical package to do risk adjustment,(5) requires an actual person at each hospital to abstract information from the medical records.(6) This is time consuming, as it requires approximately forty-five minutes to abstract a single case.
Pennsylvania mandates that medical records of all inpatients be abstracted by the MedisGroups
Iezzoni, LI., Moskowitz, M.A, and Ash, A.S.: The Ability of MedisGroups
and Its Clinical Variables to Predict Cost and In-Hospital Death.
This study is an analysis of Pennsylvania hospital admissions from the 1989 MedisGroups
Comparative Database, consisting of 31,321 hospital admissions by internists and family physicians.
physiologic scores were available for this data set.
We note with interest that the commercially available Medisgroups
system, which is based on a records review by specially trained staff, assesses patient status on up to three occasions [13, 14].
Iezzoni, LI., Ash, A., Coffman, G., and Moskowitz, M.A.: Admission and Mid-Stay Medisgroups
Scores as Predictors of Death Within 30 Days of Hospital Admission.
The 1989 MedisGroups
comparative database was used to analyze a convenience sample consisting of all family and internal medicine patients with the primary admission diagnosis-related group (DRG) of "transient ischemic attack."
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.