Predictive Modelling for Turn Around Time (TAT) of Discharge Process for Insured Patients in a Corporate Hospital of Pune City (Record no. 49613)
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fixed length control field | 02334nam a2200193 4500 |
003 - CONTROL NUMBER IDENTIFIER | |
control field | OSt |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20180418161647.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 180418b ||||| |||| 00| 0 eng d |
100 ## - MAIN ENTRY--PERSONAL NAME | |
Personal name | Shukla, Kasturi |
9 (RLIN) | 31181 |
245 ## - TITLE STATEMENT | |
Title | Predictive Modelling for Turn Around Time (TAT) of Discharge Process for Insured Patients in a Corporate Hospital of Pune City |
300 ## - PHYSICAL DESCRIPTION | |
Extent | 56-63 p. |
520 ## - SUMMARY, ETC. | |
Summary, etc | Background:Delayed discharge is a frequent issue in majority of the hospitals as discharge Turn Around Time (TAT) for insured patients is higher than uninsured patients. The present study was conducted on insured in-patients to identify the predictors of discharge delays. Second, the impact of TAT of various steps of discharge process was analyzed on the overall discharge TAT. Finally, the intermediate TATs having highest predicting effect on the overall TAT were identified.Methods:This cross-sectional study was done on insured in-patients of a corporate hospital in Pune city from May to July 2015. TAT of the six steps of discharge process and the overall TAT was tracked and analyzed across Length of Stay (LOS) and discharge type using independent t-test. The six TATs were analyzed for predicting effect on overall TAT using correlation and linear regression.Results:The mean discharge TAT for insured patients (n = 443) was 390 (±122.03) minutes. Intervening TATs for submitting discharge summary to TPA department and the final bill approval from insurance company had highest predicting effect on overall TAT through statistical analysis. Discharge TAT did not vary significantly for planned/unplanned discharge but significantly increased by 1 hour for high LOS patients (p-value < 0.001).Conclusion:Discharge delay for insured patients is a common phenomenon. Hospitals and insurance companies must make combined efforts to control the delay. Further the delay from hospitals must be checked by timely submission of discharge summary and required reports as well as sending a quick reply to the generated queries.<br/>%K Discharge,hospital,insurance,TAT |
653 ## - INDEX TERM--UNCONTROLLED | |
Uncontrolled term | Discharge |
Uncontrolled term | hospital, insurance |
Uncontrolled term | TAT |
700 ## - ADDED ENTRY--PERSONAL NAME | |
Personal name | Upadhyay, Shrishti |
9 (RLIN) | 31182 |
773 0# - HOST ITEM ENTRY | |
Host Biblionumber | 29022 |
Host Itemnumber | 70284 |
Main entry heading | SAGE PUBLICATIONS |
Place, publisher, and date of publication | NEW DELHI SAGE PUBLICATIONS 2012 |
Other item identifier | 5558629 |
Title | JOURNAL OF HEALTH MANAGEMENT |
International Standard Serial Number | 0972-0634 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Source of classification or shelving scheme | Dewey Decimal Classification |
Koha item type | Journal Article |
Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Home library | Current library | Date acquired | Total Checkouts | Full call number | Barcode | Date last seen | Price effective from |
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Dewey Decimal Classification | Main Library | Main Library | 18/04/2018 | Vol 20, No 1/ 5558629JA6 | 5558629JA6 | 18/04/2018 | 18/04/2018 |