2. WHY IS IT THE NEED OF THE HOUR?
• Value of services provided by healthcare is questionable
• Increasing demand for healthcare
• Constrained resources to meet the increasing demand
• Evidence based diagnosis for patients
3. SCOPE OF DATA ANALYTICS IN
HEALTHCARE
• Claims and Billing Database: an organized billing system which is connected to a
database that stores all the information. Provides quick access to details requested
like the amount covered by claims, insurance provider, etc
• Supply chain management: Maintaining inventories will be easier and systems can
be set in place inside this. For example, different alerts for different level of storage
of a drug which will help refill according to needs
4. Clinical Analysis: A database of patient details and history would help provide better
services to the patients when they come back. Systems can again be put into place
here where a patient’s next visit can be notified automatically according to the aliment
• Epidemiologic Analysis: Using Statistical tools to help analyze important
epidemiological problems and to understand the distribution of these diseases in the
population which can pave way to Research
5. • Biostatistical Analysis: Using this, huge data can be broken down to solve issues of
public health and will also be useful to conduct research in different fields in
Healthcare
• Human Resource Management: Analyzing data can help work out a more efficient
schedule of doctors, nurses and other staffs for different point of time in the
hospitals
6. • Telemedicine: Telemedicine reduces costs and saves time by keeping the patient
away from the hospital. Data Analysis can help provider a better telemedicine
service
• Medical imaging: Linking medical imaging to data analysis will help read the image
and provide outcomes through already set algorithms saving time and money