Abstract

DBA's perspective for Information Visualization (IV) assists in providing a detailed insight about patient history in Electronic Health Records (EHR). These data visualizations are used by different stake holders in public hospitals such as Doctors, Database Administrators (DBA) and visual designers in order to improve health services for patients. This is not possible without the contribution of DBAs, who are directly involved in launching efficient query system and required data retrieval for resulting visualization. EHR database is comprising of different forms of data i.e., numbers, texts, pictures and graphs resulting in a challenge for creating a meaningful visualization for single or multiple patients. DBAs have EHR knowledge gaps, lesser exposure to the transformation process of data into effective visualization and understanding about IV limitations result in poor and less efficient IV tools. This study highlights the challenging factors that affect DBAs in understanding, developing and controlling EHR visualization. These factors are selected after a literature review and further analysis by a questionnaire based study on DBAs in two different government hospitals. This will help in highlighting the limitations of DBAs skills and experience and assist in determining the contribution of their role in the development of future IV applications. This work is a second phase of our ongoing research for designing a model, CARE 1.0, as a future IV solution in multiple EHR.

Highlights

  • Visual Analytic Systems (VAS) are used to represent different important patient history facts or events in Electronic Health Records (EHR), in a very intricated and user friendly manner

  • Each category grouped on the basis of closely related factors with Information Visualization (IV) and Database Management Systems (DBMS) relation

  • EHR database and dataset play a vital role in developing a useful Information visualization for medical professionals and associated stake holders

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Summary

Introduction

Visual Analytic Systems (VAS) are used to represent different important patient history facts or events in Electronic Health Records (EHR), in a very intricated and user friendly manner. The primary objective of IV in EHR is to facilitate the end users that can be mostly doctors and physicians and hospital management professionals for understanding the patient history and data trends in an easier format using different colors and pictorial shapes by Mane et al (2012). Perception of such knowledge is considered majorly on the requirements of doctors while ignoring the important factors that are coming as other constituent components and stake holders e.g., EHR database, Data Base Administrators (DBA) and Visual designers by Wilcox et al (2010a). In an IV analytical application for EHR, three stake holders are involved:

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