Course Project Proposal- Managerial Applications of Business Technology

Ronda Farrare: 25%

Rex Kritikos: 25%

Niall Murphy: 25%

Eurold Principale: 25%

Table of Contents:

I. Proposal

A. Subject of Course Project

B. Business Problem Statement

C. Company Name

D. Proposed Solution

E. General Benefits

F. Audience

II. References

Proposal:

A. Subject of Course Project:

COVID-19: Using data mining applications to select clinical trial participants.

B. Business Problem Statement:

After months of research and development, a U.S. pharmaceutical company is ready to begin clinical trials on a new coronavirus vaccine. Before the vaccine can be approved, the company needs to determine how it performs on individuals who are at a low risk of infection and those who are at a higher risk of infection. They need a fast, efficient means of selecting 2,000 participants for the trial. The participants should be selected from a range of significant demographics and characteristics. That way, the company is able to test the effectiveness of the vaccine on individuals from different age groups, ethnicities, geographic locations and prior medical histories.

D. Proposed Solution:

In order to find participants for the clinical trial, the company creates an application that integrates a number of different databases into a single data warehouse. These databases can include census data, data on COVID-19 infections and deaths, data from the company’s prior clinical trials and medical data from insurance companies and hospitals. With this integrated data warehouse, researchers should be able to draft an analysis on the effects of COVID-19 on the U.S. population. Such an analysis will identify those demographics most vulnerable to infection as well as those least vulnerable. From there, researchers can select their target demographics. Finally, the software will be able to randomly select 2,000 individuals from the company’s previous clinical trial database who fit those demographics.

E. General Benefits:

Considering the incredible demand for a coronavirus vaccine, this application

speeds up the process of finding clinical trial participants. It also more accurately identifies the demographics and participants who will provide the most insight into the effectiveness of the vaccine. This will get the drug on the market faster and increase the probability it will bring an end to the pandemic, something the entire global population will benefit from. It also provides the company a competitive advantage over other pharmaceutical firms also developing a vaccine. The cost benefits to the company of being the first to create and test a successful vaccine would be enormous.

F. Audience:

In this scenario, we would be presenting to the management of the pharmaceutical

company, hoping to convince them our application is the most effective means of identifying clinical trial participants.

References:

Janeja, V. P., Gholap, J., Walkikar, P., Yesha, Y., Rishe, N., & Grasso, M. A. (2018).

Collaborative data mining for clinical trial analytics. Intelligent Data Analysis, 22(3), 491–513. https://doi-org.devry.idm.oclc.org/10.3233/IDA-173440

Southworth, H., & O’Connell, M. (2009). Data Mining and Statistically Guided Clinical Review

of Adverse Event Data in Clinical Trials. Journal of Biopharmaceutical Statistics, 19(5), 803–817. https://doi-org.devry.idm.oclc.org/10.1080/10543400903105232