Big data in healthcare can save millions of lives. Predictive analytics, artificial intelligence, and machine learning are changing healthcare practices and making a huge impact. The author's career goal is to implement analytics to visualize data and information in healthcare R&D. Machine learning models help create patterns of women's cycles that apps use to track ovulation and fertility. Collecting large amounts of data through these apps can positively affect communities by helping prevent diseases and alerting women to potential symptoms.

1. Big Data in
Healthcare
SAVING MILLIONS OF LIVES
Akanksha Keshri
MSBA 260 – Spring 2022

2. Overview
Executive
Summary
Interview
Session
Industry
Trends
Summary

3. Executive Summary
Career Goals
Interest
Background
• Analytics, truly help in recognizing the pattern in a
sandbox, so I have chosen my career goal towards
healthcare R&D, to implement analytics in
visualizing data & information
• Predictive analytics, artificial intelligence, and
machine learning are examples of emerging
technologies that are changing healthcare practices
and making a huge impact on modern lives
• Always having a bio field develop my interest
towards R&D in Healthcare.
• If I work as an analyst in healthcare industry, they’re
going to be no null day as so much knowledge and
information lies in spectrum like how diseases are
related, how to cure with other, what are the vaccine
for new coming disease, what possibility from acute
to chronic disease one can prone and many more
• I did my bachelors in Biotechnology, and have
always been a bio students, with analytics mind.
• I have organized and was also a part of many
healthcare conferences. I also published few reports
on modern healthcare technologies such as IoT

4. Executive Summary
Article :
Role of 4th-
5th Gen in
Women’s
Health
5Vs of Big
Data
The big data collate large amount of data and then analytics find out the new
information, from the data and recognize the pattern with the help of AI and
ML models in the form of patterns graphs which are discussed between team
of doctors, scientist and researchers to came out with outcome.
Machine learning modelling are helping to create a pattern of cycles for
different subsets of women, which is used these days to develop an app
such as by Femtech, Ava, Natural Cycles. These app update a woman
its ovulation day to help in increasing the chance of fertility.
It's fascinating to watch how data collection can affect an entire community of
individuals in such a positive way. Through this app and huge data,
companies can help prevent big chronic diseases and can alert prior about
the symptoms women can experience

5. Executive Summary
Article :
Role of 4th-
5th Gen in
Women’s
Health
5Vs of Big
Data
The big data collate large amount of data and then analytics find out the new
information, from the data and recognize the pattern with the help of AI and
ML models in the form of patterns graphs which are discussed between team
of doctors, scientist and researchers to came out with outcome.
Machine learning modelling are helping to create a pattern of cycles for
different subsets of women, which is used these days to develop an app
such as by Femtech, Ava, Natural Cycles. These app update a woman
its ovulation day to help in increasing the chance of fertility.
It's fascinating to watch how data collection can affect an entire community of
individuals in such a positive way. Through this app and huge data,
companies can help prevent big chronic diseases and can alert prior about
the symptoms women can experience