This document discusses several ways that business analytics can be applied in healthcare, including disease surveillance and prevention, accelerating drug development, reducing costs through risk prediction, enhancing security, and optimizing staffing. Disease surveillance uses data analysis to detect outbreaks and inform prevention strategies. Analytics can shorten drug development timelines through predictive modeling and statistical tools. Risk prediction identifies at-risk patients for early intervention to reduce costs. Data analysis enhances security by identifying cyberattacks. Finally, HR analytics can optimize staffing levels and forecast demand.

1. SHALU JOSEPH
2037056
MA APPLIED
ECONOMICS
BUSINESS ANALYTICS

2. DISEASE SURVEILLANCE AND
PREVENTIVE MANAGEMENT
What?
Studies the patterns presented in the data and checks
for disease outbreaks.
Why?
The analysed data is used to come up with preventive
techniques, vaccines and medicines and thus work
towards preventing spread of a health crisis
Helps in reducing mortality rates by checking, where
prompt care should be provided
Eg: Preventive measures during Ebola in west Africa

3. DEVELOPMENT OF FASTER, LEANER
AND MORE PRODUCTIVE R&D PIPELINE
What?
Usage of predictive modelling, statistical tools and
health care analytics to shorten the time a drug stays in
R&D pipeline
Why?
Every pharmaceutical company must undergo a long
process of clinical trials and get approval from FDA
before producing a new drug out to the patients
Advanced analytics helps in developing a low attrition,
leaner, faster and highly productive R&D pipeline
Thus, profitability and efficiency increases.

4. RISK PREDICTION- COST
REDUCTION
What?
Help cut costs by predicting which patients are at higher risk for disease and
arrange early intervention, before problems develop
Why?
A large percentage of what affects health outcomes is associated with
factors outside the purview of traditional health care.
These factors include patient health habits and behaviors, socio-economic
factors like employment and education, and physical environment.
In data analytics, these outside metrics can be modeled to predict risk of
chronic disease and there by reduce medical expenses.

5. REDUCE FRAUD AND ENHANCE
SECURITY
What?
Usage of data analytics to prevent security threats by identifying
changes in the network traffic or any other behaviour that reflects
cyber attack
Why?
Personal data is extremely valuable and profitable in the black market
93% of the health organizations in US have faced data breach
Advanced security features such as encryption technology, firewalls,
anti-virus software etc. answer the need of more security

6. SMART STAFFING &
PERSONNEL MANAGEMENT
What?
HR Analytics helps medical institutions to optimize staffing while forecasting
operating room demands, streamlining patient care as a result.
Why?
 Without a cohesive, engaged workforce, patient care will dwindle, service rates
will drop, and mistakes will happen.
The imbalance of personnel management could mean overcrowding or under
representation of staffs which can develop risks of lower motivation for work and
increases the absenteeism rate.
By working with right HR Analytics this issue can be solved