Karen C Schneider
Biographic Data
| ID | 5541538 |
|---|---|
| NAME | Karen C Schneider |
| GIVEN NAMES | Karen C |
| FAMILY NAME | Schneider |
| SIGNATURE | SCHNEIDER K C |
| VERIFIED | No |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 1981 |
| LATEST PUBLICATION YEAR | 1995 |
| H-INDEX | 0 |
Diagnosis-Related Group Refinement with Diagnosis- and Procedure-Specific Comorbidities and Complications
Diagnosis-related groups have been revised through more refined uses of secondary diagnoses. Under the refined diagnosis-related groups, patients are distinguished with respect to classes of secondary diagnoses that are disease- and procedure-specific. Each class represents a different level of utilization for a given principal diagnosis or surgical procedure. The refined system was evaluated with national data from the Medicare program. Estimate…
Identifying Patients Who Need Social Work Services
Factors that affect decisions made by professionals in the referral of hospital patients for social work services are analyzed. A multidisciplinary approach was used, in which social workers, nurses, and physicians individually evaluated the social service needs of a sample of patients hospitalized in an intermediate care section at a Veterans Administration medical center. The study helped to identify sources of divergent views held by health ca…
The Usefulness of Patients?? Individual Characteristics in Predicting No-Shows in Outpatient Clinics
Patients' characteristics and no-show patterns are analyzed in order to determine the number of patients to schedule in outpatient clinics. This predictive model is evaluated on a second sample of data and compared with another scheduling technique that is based on the average no-show rate for each clinic. Our survey suggests that it is possible to predict accurately the number of no-shows with a small set of variables, and that patient schedulin…
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The Usefulness of Patients?? Individual Characteristics in Predicting No-Shows in Outpatient Clinics
Patients' characteristics and no-show patterns are analyzed in order to determine the number of patients to schedule in outpatient clinics. This predictive model is evaluated on a second sample of data and compared with another scheduling technique that is based on the average no-show rate for each clinic. Our survey suggests that it is possible to predict accurately the number of no-shows with a small set of variables, and that patient schedulin…
Identifying Patients Who Need Social Work Services
Factors that affect decisions made by professionals in the referral of hospital patients for social work services are analyzed. A multidisciplinary approach was used, in which social workers, nurses, and physicians individually evaluated the social service needs of a sample of patients hospitalized in an intermediate care section at a Veterans Administration medical center. The study helped to identify sources of divergent views held by health ca…
Diagnosis-Related Group Refinement with Diagnosis- and Procedure-Specific Comorbidities and Complications
Diagnosis-related groups have been revised through more refined uses of secondary diagnoses. Under the refined diagnosis-related groups, patients are distinguished with respect to classes of secondary diagnoses that are disease- and procedure-specific. Each class represents a different level of utilization for a given principal diagnosis or surgical procedure. The refined system was evaluated with national data from the Medicare program. Estimate…
Medicine (3 works) · Computer Science (2 works) · Health care (2 works) · Affect (linguistics (1 work) · Business (1 work) · Chronic Disease Management Strategies (1 work) · Diagnosis-related group (1 work) · Engineering (1 work) · Family medicine (1 work) · Group (periodic table) (1 work)