Summer Training
At
Santokba Durlabhji Memorial Hospital
Cum
Medical Research Institute
“Average Length Of Stay at SDMH, Jaipur”
PRESENTED BY:
NARENDRA NAGA
PG/11/056
ABOUT HOSPITAL
 Santokba Durlabhji Memorial hospital is a 467 bedded trust
managed, autonomous, private hospital.
OUR MISSION:-
To offer a broad spectrum of cost effective and humanistic clinical
services of a quality that meets the highest international standards to
all patients irrespective of their caste, creed or class, to serve as a
continuing medical education center (CME) for doctors, teaching
center for D.N.B. candidates and for those categories of paramedical
staff (such as nurse, technicians and radiographers) that are
invariably in short supply and to provide a base for innovative
research in our constant endeavor to improve health care.
OUR VISION: To surpass current professional quality standards, to come up to the
highest expectations of those we serve and to ensure a congenial and
invigorating work environment that spurs all employees to reach
their full potential.
Average Length of Stay in Hospital
refers to the average number of days that patients
spend in hospital.
 ALOS
 ALOS
= Total length of stay by discharged patients for a given period
Total Number of discharged patients in same period
 Hospital length of stay is an important performance
indicator for hospital management and a key measure of
efficiency in health care. Also the type of reimbursement or
health insurance plan plays a significant role in the
patient’s length of stay in hospitals.
RATIONALE OF STUDY
ALOS is used to calculate future bed needs or helps
in forecasting future bed requirements & helps in
to set contract figures, helps in patient
categorization and also helps in analysis of
changing current elective admission policy. These
calculations are very useful or necessary to fulfill
the needs of bed allocation and forecasting
requirements while planning and managing bed
capacity.
OBJECTIVES
General Objective:To calculate the average length of stay of patients in SDM
Hospital, Jaipur.
Specific Objectives: To calculate the department wise (General wards, ICUs &
Private rooms) ALOS in hospital.
 To study the disease pattern in hospital & calculate the
ALOS according to patient’s disease profile.
 To identify the factors those are responsible for prolonged
LOS in hospital & suggest methods to overcome the
existing problems.
METHODOLOGY
 Study Area






SDM Hospital, Jaipur
Study Design
Cross-sectional, Descriptive
Study Population
All the Inpatients of hospital
Sample Design
Convenient Sampling
Sample Size
491 (282 from Wards, 138
from ICUs & 71 from Private Rooms)
Data Source
Secondary Data
Duration of the study April 20 to May 20, 2012
STUDY FINDINGS
ALOS IN All General Wards (in days)
5.7
6
5
4
3
3.8 3.6
3
3.4 3.6
5.1
4.2
3.2
4.7
4.4 4.4
3.9
3.8
2.4
2
1
0
ALOS IN All General Wards (in days)
2.9
Cont…
ALOS in All ICUs (in days)
4.5
4
3.5
3
2.5
2
1.5
1
0.5
0
3.8
4.1
4.4
4.4
2.7
1.8
ALOS in All ICUs (in days)
2.3
1.7
Cont…
ALOS in Private Rooms
5
4.5
4
3.5
3
2.5
2
1.5
1
0.5
0
4.6
4.1
3.1
3.1
2
NDX
MPW
FPW
SDX
ALOS in Private Rooms
PRW
Cont…
Lenth of stay in SDMH (in days)
3.2
3.9
General Wards
Private Rooms
ICUs
3.4
RECOMMENDATIONS
• Availability of resources should be appropriate.
• Discharge process should be pre planned.
• Billing services for admission and discharges should be
•
•
•
•
•
performed on a single window to save the time of
patients.
Separate windows should be made for different
processes at IPD counter.
Duplication of work should not be there.
Categorization should be done in wards according to
disease profile of patients.
IPD visiting time by the doctors should be fixed.
Once patient gets discharged, they should empty the
bed and wait for discharge summary in waiting area.
Cont…
 Some extra beds should be added to Gynae ward. So
the every patient will take benefits of maternity
services.
 Interdepartmental coordination should be improved
within the hospital.
 Appointment given prior to the surgeries to reduce
the waiting time and length of stay. Due to this
Surgeons or doctors can perform the surgeries on
given date or time.
CONCLUSION
 After analyzing or evaluating the above study, we conclude
that the ALOS of this teaching hospital is ideally good. Due
to lower number of beds and higher patient load in
Maternity Ward (FGW), there is an undue pressure on the
hospital to discharge patients in this ward. For a better
patient satisfaction, more number of beds should be added
in this ward.
 And attention should be paid towards quality of services &
disease characteristics of patients (The hospital has a
highest admittance rate in diseases like Abdominal Pain,
Acute Pancreatis, Anaemia, Chest Pain, Cholilithiasis, CKD,
COPD, DM, Fever, HTN, Hysterectomy, LSCS, and LVF
etc.) so that the patient satisfaction level can be maximized.
A CASE STUDY ON DOCTOR WISE
IPD ADMISSIONS IN VARIOUS
DEPARTMENTS AT SDM
HOSPITAL, JAIPUR
INTRODUCTION
 In-Patient Department (IPD) is also known as indoors or
wards. The patients who need continuous nursing care,
monitoring or medical/ surgical interventions are admitted to
IPD in a hospital. The IPD is nursing care intensive
department and constitutes the largest functional area in a
hospital.
Scope of services :The following services are available to patients through IPD:
 Nursing care- continuous monitoring, drug administration
 Preparation for surgery and post-operative care
 Minor procedures
 Medical consultations
 Diets
OBJECTIVE
 To know the trend of doctor wise IPD
admissions in various departments at SDM
hospital, Jaipur.
METHODOLOGY
 The study is conducted among 6089 patients
attending IPD of SDM Hospital, Jaipur
during the period from 01/01/2012 to
31/03/2012. The required secondary data is
collected from MRD.
STUDY FINDINGS
Total No. of IPD Admissions in SDMH
(from Jan.1 to March 31,2012)
1000
931
900
800
700
600
500
780
739
612
569
525
439
400
304
300
237
211
197
200
128
91
100
78
73
71
54
45
5
0
Total No. of Patients
Cont…
S.No.
DOCTOR’S NAME
DEPARTMENT
% OF PATIENT
ADMITTENCE
NEAR
COMPETETOR
% OF PATIENT
ADMITTENCE
1.
Dr.Sanjeev Gupta
Cardiology
42%
Dr.Atul Kasliwal
27%
2.
Dr. Anurag Govil
Gastroenterology
46%
Dr.Dinesh Agarwal
26%
3.
Dr. B.K. Malpani
Medicine
24%
Dr.R.Patni/Dr.Vinita
Govil
22%
4.
Dr. S.C.Taparia
Neurosurgery
40%
Dr.Vipin
Khandelwal
32%
5.
Dr. S.Fayyaz
Obst. & Gynae.
56%
Dr.Nishi Gupta
16%
6.
Dr. Aashish
K.Sharma
Orthopedic
26%
Dr.S.Shrivastava
26%
7.
Dr. Rajeev Bansal
Paediatric
61%
Dr.G.C.Bothra
15%
8.
Dr.D.N.Kalla/Mighl
ani
Urology
53%
Dr.Uma
K.Raghuvanshi
34%
RECOMMENDATIONS
 The hospital beds in each ward and ICU are distributed
among doctors of hospital. Before this study bed allocation
among doctors are not done scientifically. Therefore, the
study is carried out to know the doctor wise trend of IPD
admissions in various departments. The study will help in
reallocation of hospital beds among doctors according to their
percentage of contributions in IPD admissions. We can
expand our inpatient services according to their department
wise contribution of patient load in hospital. It can be also
suggested that the doctor who have the highest percentage of
patient load in IPD section, his or her bed allocation should be
done nearby the OPD of that particular doctor. By doing this it
will help in time saving during doctor’s rounds in IPD section.
CONCLUSION
 It is conclude that the Medicine Department has the
highest number of In-Patients during these three months
and then followed by Pediatrics and Obst. & Gynecology
department. The patients of Dental Surgery department
has the lowest percentage in IPD unit And then followed
by ENT & Neonatology department. After analyzing of all
the available data a list (as shown in Table No.5) is come
out which shows the highest percentage of patient
admittance rate in IPD unit by doctors in various
departments. This will help in allocation of beds among
doctors according to their percentage of contribution in
IPD section.
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


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THANK YOU