Rachel M Rosser
Biographic Data
| ID | 5538415 |
|---|---|
| NAME | Rachel M Rosser |
| GIVEN NAMES | Rachel M |
| FAMILY NAME | Rosser |
| SIGNATURE | ROSSER R M |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 1976 |
| LATEST PUBLICATION YEAR | 1976 |
| H-INDEX | 0 |
The Reliability and Application of Clinical Judgment in Evaluating the Use of Hospital Beds
A technique is described which circumvents the difficulty in obtaining reliable judgments by clinicians on cases of inappropriate use of hospital beds. By application of the Delphi method of measuring group expert opinion, convergence was achieved in the estimate, by four physicians, of the total number of bed days wasted on a medical ward during a period of two weeks. Cases of possible misutilization were identified by the author and a second st…
Recent Studies Using a Global Approach to Measuring Illness
Global measures of illness are designed to measure the performance of a health service as a whole and the contribution of its various components. Such measures convert data about the outcome of medical care into information for use in planning at all administrative levels including the highest levels of government. This is achieved by means of a classification of states of illness applicable to all patients, whatever their diagnosis and symptoms,…
No prominent works on this page.
The Reliability and Application of Clinical Judgment in Evaluating the Use of Hospital Beds
A technique is described which circumvents the difficulty in obtaining reliable judgments by clinicians on cases of inappropriate use of hospital beds. By application of the Delphi method of measuring group expert opinion, convergence was achieved in the estimate, by four physicians, of the total number of bed days wasted on a medical ward during a period of two weeks. Cases of possible misutilization were identified by the author and a second st…
Recent Studies Using a Global Approach to Measuring Illness
Global measures of illness are designed to measure the performance of a health service as a whole and the contribution of its various components. Such measures convert data about the outcome of medical care into information for use in planning at all administrative levels including the highest levels of government. This is achieved by means of a classification of states of illness applicable to all patients, whatever their diagnosis and symptoms,…
Computer Science (2 works) · Medicine (2 works) · Actuarial science (1 work) · Artificial Intelligence (1 work) · Artificial Intelligence (1 work) · Business (1 work) · Data mining (1 work) · Delphi (1 work) · Delphi method (1 work) · Economic growth (1 work)