From months to minutes: creating Hyperion, a novel data management system expediting data insights for oncology research and patient care

Author:

Snyder Eric,Rivers Thomas,Smith Lisa,Paoni Scott,Cunliffe Scott,Patel Arpan,Ramsdale ErikaORCID

Abstract

Structured AbstractObjectiveDescribe the design and implementation of a novel data management platform for an academic cancer center which meets the needs of multiple stakeholders.Materials and MethodsA small, cross-functional technical team identified key challenges to creating a broad data management and access software solution: lowering the technical skill floor, reducing cost, enhancing user autonomy, optimizing data governance, and reimagining technical team structures in academia. The Hyperion data management platform was designed to meet these challenges in addition to usual considerations of data quality, security, access, stability, and scalability.ResultsImplemented between May 2019 and December 2020 at the Wilmot Cancer Institute, Hyperion includes a sophisticated custom validation and interface engine to process data from multiple sources, storing it in a database. Graphical user interfaces and custom wizards permit users to directly interact with data across operational, clinical, research, and administrative contexts. The use of multi-threaded processing, open-source programming languages, and automated system tasks (normally requiring technical expertise) minimizes costs. An integrated ticketing system and active stakeholder committee support data governance and project management. A co-directed, cross-functional team with flattened hierarchy and integration of industry software management practices enhances problem solving and responsiveness to user needs.DiscussionAccess to validated, organized, and current data is critical to the functioning of multiple domains in medicine. Although there are downsides to developing in-house customized software, we describe a successful implementation of custom data management software in an academic cancer center.

Publisher

Cold Spring Harbor Laboratory

Reference7 articles.

1. Institute of Medicine Roundtable on Evidence-Based M. In: Olsen L , Aisner D , McGinnis JM , editors. The Learning Healthcare System: Workshop Summary. Washington (DC): National Academies Press (US); 2007.

2. Systematic Review: Impact of Health Information Technology on Quality, Efficiency, and Costs of Medical Care

3. Ewen EF , Medsker CE , Dusterhoft LE . Data warehousing in an integrated health system: building the business case. Proceedings of the 1st ACM international workshop on Data warehousing and OLAP; Washington, D.C., USA: Association for Computing Machinery; 1998. p. 47–53.

4. Building a comprehensive clinical information system from components;The approach at Intermountain Health Care. Methods Inf Med,2003

5. Development of a Clinical Data Warehouse for Hospital Infection Control

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3