UPHAR (Universal Patient Hospital and Administration Registry)

International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 09 Issue: 09 | Sep 2022 www.irjet.net p-ISSN: 2395-0072
© 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 706
UPHAR
(Universal Patient Hospital and Administration Registry)
Ramoliya Gaurav Ashvinbhai1, Trapasiya Krishnaben Bhaveshbhai2
1Student, Gujarat Technological University, Ahmedabad, Gujarat.
2Student, Gujarat Technological University, Ahmedabad, Gujarat.
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Abstract – This website is build to manage different data
such as doctor, patient, appointment information and other
hospital stuff and also to provide an optimized and
successful management system to Hospital. This app can
also store hospital related data and make efficient use of
collected data to provide better management and also
manage the incident record and provide information to
concerned authority. We made this app to make hospital
system less time consuming.
With the usage of this system hospitals are able to provide
more facilities to patients.
Key Words: Hospital Management System, Decision
Making Process, Management Work, Product Backlog,
Incident management system, medicine prediction.
1. INTRODUCTION
This project will provide the complete digital solutions for
all the tasks related to hospital management. Such as
appointment booking, doctor information and many more.
The prediction algorithms are used to predict the
medicine of future years. Report will be generated by the
system according to the previous data with the help of
prediction algorithm such as linear regression which will
help management’s decision making process. Here we
provided a unique feature named as medicine search
which shows relevant medicine as per given medicine
name or content name or by disease.
1.1 Technology used
For the application framework we used HTML, CSS,
Javascript and for the database used MySQL. There are
some machine lerning libraries are also used such as
numpy, pandas and sk-lern. We used python 3.7 for
backend and also used Django.
1.2 Project planning
There are plenty of parts which are very important while
making a project. For example: Deciding tasks, Need and
scope of the project.
2. SYSTEM ANALYSIS
Current hospital management systems are working just
for data storing purpose. An incident management system
to handle various types of incident and to inform
concerned authority about this incident so problem is
resolved in very quick manner.
Table -1: Requirements to use application
User System requirements
1. Windows/ios system
2. 4 GB ram
3. 128 GB storage
4. Internet/wi-fi
2.1 Proposed system
We have provided medicine search options to user by
which user can get details about various medicine by
entering name of medicine name or content or disease
name. They can also add it to wish list for easy access in
future which is not provided by any other hospital.
We have provided solution which will predict medicine in
upcoming year using linear regression and previously
stored data.
2.2 Scope of the project
This website is developed for a purpose of making an
efficient management system by which major
management work can be done with ease. Prediction
module which predict the requirement of specific
medicines in nearby future time and represent it in graph.
An incident management system to handle various types
of incident and to inform concerned authority about this
incident so problem is resolved in very quick manner.
Medicine search in which user can see all the medicines
entered by chemist and wish list option for easy access in
future. Book appointment where user can book
appointment. The details of appointments visible to admin
module.

3. SYSTEM DESIGN
3.1 Use case diagram
Before building the application first we draw a flow
chart and in that divide all the section according to
their places. Because it is a graphical representation
of steps.
Chart -1: Flow chart
3.2 Activity Diagram
Fig -1: Activity diagram
In this diagram activities defined such as manage
user, manage medicine stock and details, Request for
medicine order.
3.2 Data Flow Diagram (DFD)
Data flow diagram is define the flow of data. At DFD level-
0
there are many options are available.
DFD level-0
There are another two DFD level-1 one is for user and one
is for Admin.
1. DFD level-1 for user
2. DFD level-1 for Admin

In user DFD they can book appointment, check doctor
information and in other Admin can Add/update/delete
user, check payment history, change ID/password and
also can Add/update/delete record.
3.3 Database Dictionary
In data dictionary it is easy to view and understand that in
admin’s part which tables are used and in user and
chemist’s part which data store in their assigned directory.
Data Dictionary-Admin
Data Dictionary-User
Data Dictionary-Chemist
4. WORKING MECHENISM
In working part of UPHAR first we start from
administration department they can check staff
information and with the usage of this system patient can
check bed availability and according to that they can book
the appointment. Through our website customer can give
reviews and feedbacks and hospital also have patient
database from that they analyze patient’s last visiting
condition and treat them according to that information.
5. POSSIBLE ALTERNATIVES
In each hospital there is their own private hospital
management system which helps to workout their basic
hospital operations. UPHAR is used to provide additional
functionalities like medicine prediction, Incident
management system, medicine search etc. to make it a
unique one.
6. RESULTS
After the deployment we have observed that for hospitals
they can easily treat their patient by observing past data
which was stored in database. They do not need to
maintain hardcopy record. On the patient side, they can
check doctor’s information, bed availability on website
form their home. Hospitals can maintain medicine stock
and it’s information very well as compared to past
situation.
7. CONCLUSION
In admin module we have provided feature named
prediction in which user can add current and previous
data of medicine and can predict the medicine
requirement in future year. It represent the futuristic data
in graph manner which will become very easy to
understand.
Here we have provided incident manage system which
resolves the many problem that exist in current manual
system. This system automatically send information to
concerned authority via mail when any incident is
mentioned in system.
Digital medical record in which we can manage the details
about patient, bed, doctor and stock details of medicines.
We have provided medicine search option in user module
in which user can search about any medicine and add it to
wish list for easy access in future.
8. LIMITATIONS OF THIS SYSTEM
Because of the daily entry size of the database increases
day-by-day and it is increasing the load on the database
back up and data maintenance activity.

Time consuming –all data entries need to be verified
before filing, this is a time consuming task.
Retrieving data from the system also takes a considerable
amount of time.
Quality of outputs governed by quality of inputs and it is
expensive to set up and configure.
9. REFERENCES
1. For learn HTML/CSS/JAVASCRIPT:
https://www.w3schools.com/
2. To learn python: https://www.learnpython.org/
3. For Django: https://www.djangoproject.com/start/
4. For Numpy:
https://www.tutorialspoint.com/numpy/index.htm
5. For pandas:
https://www.geeksforgeeks.org/pandas-tutorial/
6. International Journal for Research in Engineering
Application & Management (IJREAM) ISSN : 2494-9150
Vol-01, Issue 11, FEB 2016. HOSPITAL MANAGEMENT
SYSTEM
http://ijream.org/papers/INJRV01I11006.pdf
7. Applications of Business Intelligence in Healthcare
https://www.villanovau.com/resources/bi/business-
intelligence-in-healthcare/
BIOGRAPHIES
Mr. Ramoliya Gaurav Ashvinbhai,
was a student of department of
Computer Engineering, Apollo
Institute of Engineering and
Technology, Ahmedabad affiliated
with Gujarat Technological
University.
Ms. Trapasiya Krishnaben
Bhaveshbhai, was a student of
department of Electronics &
Communication Engineering,
Government Engineering College,
Rajkot affiliated with Gujarat
Technological University.

UPHAR (Universal Patient Hospital and Administration Registry)

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