MedisGroups

MedisGroups

 [med´is-gro̳ps″]
[Medical Illness Severity Grouping System] a patient classification system based on key clinical findings from evidence in the patient record; it can be used as a tool for quality assurance.

MedisGroups

Medical illness severity grouping system. A system for classifying patients admitted to a hospital, based on severity of disease.

MedisGroups

Medical illness severity grouping system A system for classifying Pts admitted to a hospital, based on disease severity. See Kiss of death test. Cf DRGs, High mortality outlier.
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References in periodicals archive ?
"A Clinical Assessment of MedisGroups." Journal of American Medical Association 260 (21): 3159-63.
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 methodology.
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.
Finally, MedisGroups 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.