This study examines the ability of MedisGroups, a severity measure based on clinical data abstracted from the medical record, to predict hospitalization charges. MedisGroups measures severity both on admission and approximately 1 week into the hospital stay. The data base contained 23,361 admissions of Medicare beneficiaries in six conditions from 836 hospitals in seven states between January 1985, and May 1986. In all six conditions, higher admission and mid-stay severity scores were generally associated with higher charges. Across the six conditions, the R2 values for predicting charges using diagnosis-related group (DRG) class ranged from 0.06 to 0.32 using trimmed data. Adding admission MedisGroups scores to DRG class produced R2 values...
This study investigated whether the type of hospital in which a Medicare beneficiary is admitted for...
To reduce readmissions, it may be cost-effective to consider risk stratification, with targeting int...
Purpose: To investigate whether the number of nursing diagnoses on hospital admission is an independ...
Concerns about the insensitivity of Medicare\u27s diagnosis-related groups (DRGs) to illness severit...
This research examines how the patients ’ characteristics and clinical indicators affect length of s...
BACKGROUND: The Chronic Disease Score is a risk-adjustment metric based on age, gender, and history ...
grantor: University of TorontoThis study assessed the role of the Computerized Severity In...
DATA SOURCES/STUDY SETTING: Data on admissions to 80 hospitals nationwide in the 1992 MedisGroups Co...
Objective: To detect the patients in medical wards at risk of extended LOS and poor discharge health...
The diagnostic cost group approach to a reimbursement model for health maintenance organizations is ...
When comparing outcomes of medical care, it is essential to adjust for patient risk, including sever...
Objective: To detect the patients in medical wards at risk of extended LOS and poor discharge health...
As healthcare providers receive fixed amounts of reimbursement for given services under DRG (Diagnos...
Importance: Hospitals are reimbursed based on Diagnosis Related Groups (DRGs), which are defined, in...
Although implementation of the Medicare prospective payment system has been accompanied by significa...
This study investigated whether the type of hospital in which a Medicare beneficiary is admitted for...
To reduce readmissions, it may be cost-effective to consider risk stratification, with targeting int...
Purpose: To investigate whether the number of nursing diagnoses on hospital admission is an independ...
Concerns about the insensitivity of Medicare\u27s diagnosis-related groups (DRGs) to illness severit...
This research examines how the patients ’ characteristics and clinical indicators affect length of s...
BACKGROUND: The Chronic Disease Score is a risk-adjustment metric based on age, gender, and history ...
grantor: University of TorontoThis study assessed the role of the Computerized Severity In...
DATA SOURCES/STUDY SETTING: Data on admissions to 80 hospitals nationwide in the 1992 MedisGroups Co...
Objective: To detect the patients in medical wards at risk of extended LOS and poor discharge health...
The diagnostic cost group approach to a reimbursement model for health maintenance organizations is ...
When comparing outcomes of medical care, it is essential to adjust for patient risk, including sever...
Objective: To detect the patients in medical wards at risk of extended LOS and poor discharge health...
As healthcare providers receive fixed amounts of reimbursement for given services under DRG (Diagnos...
Importance: Hospitals are reimbursed based on Diagnosis Related Groups (DRGs), which are defined, in...
Although implementation of the Medicare prospective payment system has been accompanied by significa...
This study investigated whether the type of hospital in which a Medicare beneficiary is admitted for...
To reduce readmissions, it may be cost-effective to consider risk stratification, with targeting int...
Purpose: To investigate whether the number of nursing diagnoses on hospital admission is an independ...