Genesis: Laboratory Data Processing and Analytics System Open Access

Johnson, Greco (Fall 2018)

Permanent URL: https://etd.library.emory.edu/concern/etds/3484zh92d?locale=en
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Abstract

Genesis: Laboratory Data Processing and Analytics System

By Greco M. Johnson

           The number of emerging infectious disease threats continues to increase as society, technological, and environmental factors change over time. The introduction of unknown infectious diseases could negatively impact the health of communities around the world. As a result, a significant amount of attention should be placed on the ability of public health laboratories to improve efforts of processing, analyzing, and reporting infectious disease findings. This thesis document presents the recommendation and proposed solution for improving current state laboratory data processing and reporting within public health laboratories.

           The Centers for Disease Control and Prevention (CDC) provides oversight for a number of domestic and global laboratory studies and investigations of infectious disease of unknown etiologies. The CDC “strives to improve public health and safety nationally and globally through investigating, monitoring, and controlling sickness, disability, and death caused by highly lethal viral, bacterial, prion, and related infections and diseases of unknown origin”.1 A key component to satisfying this organizational mission is to ensure a systematic approach exist when performing test on tissue specimens from humans and animals that are sick or deceased from unknown causes. The actions taken from these procedures allow laboratory test results to be analyzed and interpreted, which promote the monitoring of lethal diseases, improve disease diagnosis, prevention, and treatment and allow for emergency response preparedness.

           The Genesis Laboratory Data Processing and Analytics System is an automated solution designed to enhance current state laboratory data processing procedures. In addition, Genesis will ensure the rapid return of laboratory test results and associated data to ensure any unknown infectious disease threats are limited in their impact. This cloud-based computing system will provide public health laboratories with an innovative, interoperable, and secure approach to processing laboratory test data, while satisfying any requirements to fully automate current state manual processes.

Table of Contents

Background: 1

Problem Statement: 2

Public Health and Business Impact: 3

Methods: 3

Funding: 4

Scope and Objectives: 4

Lifecycle Component and Resource: 5

Major Deliverables: 6

Project Timeline: 6

Project Requirements: 8

High-Level Project Requirements: 8

Descriptive/Detailed Project Requirements: 8

Business Process 1: 10

Business Process 2: 10

Information Flow Diagram: 11

MITA Process Model: 12

Business Architecture: 13

Technology Architecture: 14

Enterprise Architecture Diagram: 16

Network Security Diagram: 17

Environmental Scan Matrices: 18

Data Visualization Output(s): 19

Conclusion: 20

References: 21

Appendix A: 22

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