The document discusses the application of Python in the medical field, highlighting its frameworks like Django and Flask that enhance rapid development and security. It outlines the advantages of Python such as improved patient outcomes through data analytics and various healthcare applications, including predictive analytics for disease treatment. The document also mentions notable healthcare startups utilizing Python and concludes that Python's continuous development will significantly benefit the future of healthcare.

1. Application Of Python
In the field of Medical Science
Prepared By-
Aditya Nag
Master of Computer Application 2020-22

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Table of Contents
1. Introduction..............................................................................................................................3
1.1 Python Frame work Django............................................................................................................. 3
1.2 Python Frame work Flask................................................................................................................ 4
2. Advantage of python................................................................................................................4
3. Health care start-up that use python .....................................................................................5
4. How python functions use in operations and healthcare .....................................................5
5. Python Medical packages........................................................................................................7
6. Conclusion ................................................................................................................................7
7. Reference ..................................................................................................................................8

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1.Introduction
Python is one of the best programming languages used across a plethora of
industries. Python is a high-level, object-oriented programming language with
dynamic building options and fast development cycles. It has attracted users
from different platforms for its advantages in rapid application development and
its dynamic building options. It is considered to be one of the “safest”
programming languages too apart from all the popularity because of its
functionality. Also, Python plays an important role in the healthcare sector.
Before discussing the advantages and applications of Python in healthcare, let’s
take a look at two important Python frameworks: Django and Flask.
1. PYTHON FRAMEWORK DJANGO
• Django is a high-level Python Web framework that encourages rapid
development and clean, pragmatic design. Built by experienced developers, A
web framework is a set of components that provide a standard way to develop
websites fast and easily.
• Django was designed to help developers take applications from concept
to completion as quickly as possible.
• Django takes security seriously and helps developers avoid many
common security mistakes.
1.2. PYTHON FRAMEWORK FLASK
• Flask is a Python-based framework often used for building prototypes
because of its great efficiency and can be extended to the full-stack framework
with existing extensions

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• Flask offers modular code blocks, which allows for multiple applications
and distribution across many servers
• Flask is very flexible and delivers high performance.
1.3. Why is Python the perfect programming language for Digital
Health Solutions?
Python programming in healthcare has several benefits that healthcare facilities
cannot ignore in today’s world. Along with its frameworks like Django and
Flask, Python offers multiple advantages that can lead to better healthcare
outcomes.
2.Advantages of python
Python has amazing applications in the medical field. You will be surprised by
how technology is being combined with medical knowledge to provide accurate
and efficient diagnoses and treatments to patients.
Python can be easily used to create a web or desktop application. With Python
programming in healthcare, institutions and clinicians can deliver better patient
outcomes through dynamic and scalable applications.
Today, healthcare is generating tons of data from patients and facilities. By
making the best use of this data, doctors can predict better treatment methods
and improve the overall healthcare. Python frameworks allow for secure
exchange of information with other solutions, which is fundamental for
unchaining digital healthcare data. Python’s features for integrating with
databases on the back end perfectly align with the HIPAA rules. The
performance of the platforms made with Python is focused on their availability
in phones and the web.

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3.Healthcare start-ups that use Python
• Roam Analytics is a healthcare start-up company with headquarters in
San Mateo, Silicon Valley, San Francisco Bay Area. Total Funding Amount:
$21,864,162 (Blumberg Capital is the main investor). Roam is a proprietary
artificial intelligence platform. According to the official description, "Roam’s
machine learning and data platform powers rich analysis of patient journeys to
reveal the factors affecting treatment decisions and outcomes. The Roam
platform is powered by machine learning and a proprietary data asset called the
Health Knowledge Graph. The Health Knowledge Graph converts billions of
disparate, often unstructured, data elements into a coherent picture of
healthcare. The relationships and information captured in the Graph are
continuously enriched using machine learning and natural language processing
to extract more information, and by making connections to new data sources.
The result is a comprehensive view of the healthcare industry that allows life
sciences companies to follow information instead of instincts when seeking to
improve patient outcomes". As of November 2017, Roam Analytics is looking
for a Senior Backend/API Engineer with key qualification "experience with
Python-based server frameworks is a huge plus (Flask, Django)" and Machine
Learning Platform Engineers for "designing, developing, and improving the
machine learning platform for the Roam Health Knowledge Graph using
application programming with Python".
AiCure, a New York-based start-up funded by venture capitalists and the
National Institutes of Health, is bridging the gap between diseases and effective
treatments using AI.
4.How Python functions are used in the operations
of healthcare:-
1. Predicting how any disease will turn out is also a challenge. Today, most
systems are inefficient in identifying what would happen next. With the help of
healthcare data analytics using Python, doctors can predict the right treatment
plan or mortality based on the EHR data.

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2. The most significant benefit of Python programming in healthcare is
predictive analytics for diseases. Developers can efficiently use Python for
building Machine Learning models that can predict diseases before they get
severe.
3. Machine learning models can go through MRIs, ECGs, DTIS, and many
more images quickly to identify any pattern of disease that may be shaping up
in the body. Healthcare data analysis Python shows a perfect representation of
the body’s inner workings.
4. Diagnostic errors are one of the most common mistakes in the healthcare
industry. A significant portion of patient deaths occurred due to a mismatch in
diagnostics. Python healthcare projects that involve the applications of data
science can help make an accurate diagnosis through image analysis.
5. Any healthcare application will need a secure programming language that
can showcase its capability and securely handle patient data. It acts as additional
support for healthcare facilities that allow the entire system to function in a
more efficient manner.
6. Managing patients can consume a lot of time. Healthcare facilities with
limited staff cannot take care of the patients, appointments, treatments, all at
once. Healthcare application development enables the facility to adopt a more
technological approach to managing patients such that the staff has more time
for critical activities.
7. One of the Python benefits in healthcare is an application where patients
can schedule and reschedule appointments, get answers to common queries,
order their medications, emergency contact with clinicians, and update their
health data.

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5.Python Medical Packages
• PyGeno: an open-source Python package developed by Tariq Daouda at
the Institute for Research in Immunology and Cancer (IRIC). It's intended for
"precision medicine applications that revolve around genomics and proteomics".
It works with reference and personalized genomes.
• MedPy: an open-source Python library "for medical image processing in
Python, providing basic functionalities for reading, writing and manipulating
large images of arbitrary dimensionality."
6.Conclusion
Python is not only suitable for programming and web-based applications but it
is also helpful in the healthcare sector. The Python is in the continuous
development face. That is one of the major reasons why Python got such a big
hand in the healthcare department. This application of Python will lead towards
a better future and betterment of healthcare. Healthcare is a challenging field
and Python is performing very well here.
Python role in Healthcare is just not limited here there are much more
applications of Python that will lead towards a better and more high tech future.
Many of us are unknown from the fact that Iron Man’s Jarvis is made up of
Python.

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7.Reference
www.google.com
https://www.botreetechnologies.com/blog/python-in-healthcare-
application/#:~:text=Python%20is%20an%20open%2Dsource,for%20ensuring
%20medical%20data%20safety.
https://topflightapps.com/ideas/python-in-healthcare-app-development/
https://data-flair.training/blogs/python-in-healthcare/
Python Programming for Beginners by – Jason Canon