Carolinas Healthcare System

CONSUMER ANALYTICS

Prakhar Jajoo

A20320277

Predictive analytics

Problem Statement:

Dickson Advance analytics (DAA) is a unified analytics specialist team at Carolina Health

Services (CHS) which uses consumer analytics for CHS affiliated hospitals to deliver best in

class healthcare to patients by providing evidence based population health management,

personalised patient care and predictive modelling. Although the business model of DAA was to

show ROI over long term and prioritise projects which are of strategic importance to the

organisation but it also wanted to explore the external business opportunities by using their

advanced consumer analytics abilities to turn themselves a profit source for CHS. They were

not able to do so due to high internal demands within the organisation.

Five best practices:

The five best practices (or pilots) that were exercised by DAA in 2014 were very important to

organisation as they helped DAA to collect and handle large volume of data efficiently, create

data governance structure and helping the CHS organisation shift from anecdotal to evidence

based culture. The five best practices along with the lessons learned are:

1) Creating an Enterprise data warehouse(EDW)

EDW contained 10 Terabytes of data, which incorporated clinical, billing and claims data which

indirectly helped Dickson analytics to create models for all the patients in the database by

including many variables. It provided the business lines with tools and education so that some

analytics can be performed independently and it could reserve some space for the complex

questions.

Lessons Learned:

It gave CHS the power to predict the models for dealing with various problems such as high

readmission rates, managing intensive care for high risk patients and provide appropriate

primary care by reducing ED visits

2) Mapping the underserved communities:

Due to large enrollment in the Affordable care Act, it created an urge for the health...