Applying Public Health Informatics to Explore Emerging Technologies In Systematic Data Reconciliation Öffentlichkeit

Abstract

This thesis explores emerging technologies in systematic data reconciliation. In the health ecosystem, interoperability furthers the goal of optimizing health by providing seamless access to the right information needed to more comprehensively understand and address the health of individuals and populations. (What is Interoperability?, 2019) HL7 is a data formatting standard used by healthcare providers to exchange clinical and administrative data. Interoperability of healthcare data from multiple sources through the use of an HL7 API (HAPI) is imperative to ensure that information is exchanged and communicated in a timely and effective manner. Unfortunately most reconciliation processes remain mainly manual which leaves room for error and missed opportunities. 

The Emory Data Reconciliation and Validation (EDRV) solution will provide the ability to parse, query, and report on HL7 EHR data along with fatal and non-fatal interface errors. It will improve data analyses by providing access to consistent data in a format that can be utilized to query, parse, and examine records along with decreasing discrepancies in data reporting by decreasing large number of independent system errors. The system is needed as it will facilitate an increase in data accuracy and result in increased revenue by capturing potentially lost data. The system will provide confidence in the data received by providing reliable, credible reports along with the ability to parse and query HL7 data in a systematic format which is currently lacking in the existing environment.

Table of Contents

Introduction. 1

Executive Summary. 2

DECISION BRIEF OUTLINE.. 3

1. Problem Statement & Recommendation. 3

2. Background Information. 3

3. Facts, Assumptions & Requirements. 4

4. Alternatives. 4

5. Evaluation Criteria. 4

6. Analysis of Alternatives. 4

7. Recommendation. 5

1.1       Public Health and Business Impact 6

2                 Scope. 6

2.1       Objectives. 6

2.2       High-Level Requirements. 6

2.3       Risks. 7

3                 Enterprise Architecture Impact 8

3.1       Enterprise Architecture. 10

3.2       Business Processes. 10

3.3       Information Architecture (IA) 14

3.4       Technical Architecture (TA) 15

3.5       Risk Management 17

4                 Analysis of Alternatives. 19

4.1       Evaluation Matrix. 19

4.2       Strategic Goals. 20

4.3       Strategic Planning Project Plan. 22

4.4       Mission Statement 23

4.5       Vision. 23

Conclusion: 24

References. 25

About this Master's Thesis

Rights statement

• Permission granted by the author to include this thesis or dissertation in this repository. All rights reserved by the author. Please contact the author for information regarding the reproduction and use of this thesis or dissertation.

School	Rollins School of Public Health
Department	Executive Masters of Public Health - MPH
Subfield / Discipline	Applied Public Health Informatics
Degree	M.P.H.
Submission	Master's Thesis
Language	English
Research Field	Information Science Information Technology
Stichwort	Emerging Technologies Data Validation Informatics
Committee Chair / Thesis Advisor	Laurie Gaydos, Emory University

Zuletzt geändert

Primary PDF

Thumbnail	Title	Date Uploaded	Actions
	Applying Public Health Informatics to Explore Emerging Technologies In Systematic Data Reconciliation ()	2019-11-15 15:47:08 -0500	Press to Select an action Download

Supplemental Files

Thumbnail	Title	Date Uploaded	Actions