A vision for the systematic monitoring and improvement of the quality of electronic health data

Research output: Chapter in Book/Report/Conference proceedingConference contribution

12 Citations (Scopus)

Abstract

In parallel with the implementation of information and communications systems, health care organizations are beginning to amass large-scale repositories of clinical and administrative data. Many nations seek to leverage so-called Big Data repositories to support improvements in health outcomes, drug safety, health surveillance, and care delivery processes. An unsupported assumption is that electronic health care data are of sufficient quality to enable the varied use cases envisioned by health ministries. The reality is that many electronic health data sources are of suboptimal quality and unfit for particular uses. To more systematically define, characterize and improve electronic health data quality, we propose a novel framework for health data stewardship. The framework is adapted from prior data quality research outside of health, but it has been reshaped to apply a systems approach to data quality with an emphasis on health outcomes. The proposed framework is a beginning, not an end. We invite the biomedical informatics community to use and adapt the framework to improve health data quality and outcomes for populations in nations around the world.

Original languageEnglish
Title of host publicationStudies in Health Technology and Informatics
Pages884-888
Number of pages5
Volume192
Edition1-2
DOIs
StatePublished - 2013
Event14th World Congress on Medical and Health Informatics, MEDINFO 2013 - Copenhagen, Denmark
Duration: Aug 20 2013Aug 23 2013

Other

Other14th World Congress on Medical and Health Informatics, MEDINFO 2013
CountryDenmark
CityCopenhagen
Period8/20/138/23/13

Fingerprint

Quality Improvement
Health
Monitoring
Delivery of Health Care
Health care
Informatics
Information Storage and Retrieval
Systems Analysis
Information Systems
Communication
Communication systems
Data Accuracy
Information systems
Organizations
Safety
Research
Pharmaceutical Preparations
Population

Keywords

  • Information Storage and Retrieval
  • Medical Informatics
  • Medical Records Systems, Computerized
  • Quality Control
  • Quality Improvement

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management
  • Medicine(all)

Cite this

A vision for the systematic monitoring and improvement of the quality of electronic health data. / Dixon, Brian; Rosenman, Marc; Xia, Yuni; Grannis, Shaun.

Studies in Health Technology and Informatics. Vol. 192 1-2. ed. 2013. p. 884-888.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Dixon, B, Rosenman, M, Xia, Y & Grannis, S 2013, A vision for the systematic monitoring and improvement of the quality of electronic health data. in Studies in Health Technology and Informatics. 1-2 edn, vol. 192, pp. 884-888, 14th World Congress on Medical and Health Informatics, MEDINFO 2013, Copenhagen, Denmark, 8/20/13. https://doi.org/10.3233/978-1-61499-289-9-884
Dixon, Brian ; Rosenman, Marc ; Xia, Yuni ; Grannis, Shaun. / A vision for the systematic monitoring and improvement of the quality of electronic health data. Studies in Health Technology and Informatics. Vol. 192 1-2. ed. 2013. pp. 884-888
@inproceedings{87b744414b314c01b192cac0c9ba7fa4,
title = "A vision for the systematic monitoring and improvement of the quality of electronic health data",
abstract = "In parallel with the implementation of information and communications systems, health care organizations are beginning to amass large-scale repositories of clinical and administrative data. Many nations seek to leverage so-called Big Data repositories to support improvements in health outcomes, drug safety, health surveillance, and care delivery processes. An unsupported assumption is that electronic health care data are of sufficient quality to enable the varied use cases envisioned by health ministries. The reality is that many electronic health data sources are of suboptimal quality and unfit for particular uses. To more systematically define, characterize and improve electronic health data quality, we propose a novel framework for health data stewardship. The framework is adapted from prior data quality research outside of health, but it has been reshaped to apply a systems approach to data quality with an emphasis on health outcomes. The proposed framework is a beginning, not an end. We invite the biomedical informatics community to use and adapt the framework to improve health data quality and outcomes for populations in nations around the world.",
keywords = "Information Storage and Retrieval, Medical Informatics, Medical Records Systems, Computerized, Quality Control, Quality Improvement",
author = "Brian Dixon and Marc Rosenman and Yuni Xia and Shaun Grannis",
year = "2013",
doi = "10.3233/978-1-61499-289-9-884",
language = "English",
isbn = "9781614992882",
volume = "192",
pages = "884--888",
booktitle = "Studies in Health Technology and Informatics",
edition = "1-2",

}

TY - GEN

T1 - A vision for the systematic monitoring and improvement of the quality of electronic health data

AU - Dixon, Brian

AU - Rosenman, Marc

AU - Xia, Yuni

AU - Grannis, Shaun

PY - 2013

Y1 - 2013

N2 - In parallel with the implementation of information and communications systems, health care organizations are beginning to amass large-scale repositories of clinical and administrative data. Many nations seek to leverage so-called Big Data repositories to support improvements in health outcomes, drug safety, health surveillance, and care delivery processes. An unsupported assumption is that electronic health care data are of sufficient quality to enable the varied use cases envisioned by health ministries. The reality is that many electronic health data sources are of suboptimal quality and unfit for particular uses. To more systematically define, characterize and improve electronic health data quality, we propose a novel framework for health data stewardship. The framework is adapted from prior data quality research outside of health, but it has been reshaped to apply a systems approach to data quality with an emphasis on health outcomes. The proposed framework is a beginning, not an end. We invite the biomedical informatics community to use and adapt the framework to improve health data quality and outcomes for populations in nations around the world.

AB - In parallel with the implementation of information and communications systems, health care organizations are beginning to amass large-scale repositories of clinical and administrative data. Many nations seek to leverage so-called Big Data repositories to support improvements in health outcomes, drug safety, health surveillance, and care delivery processes. An unsupported assumption is that electronic health care data are of sufficient quality to enable the varied use cases envisioned by health ministries. The reality is that many electronic health data sources are of suboptimal quality and unfit for particular uses. To more systematically define, characterize and improve electronic health data quality, we propose a novel framework for health data stewardship. The framework is adapted from prior data quality research outside of health, but it has been reshaped to apply a systems approach to data quality with an emphasis on health outcomes. The proposed framework is a beginning, not an end. We invite the biomedical informatics community to use and adapt the framework to improve health data quality and outcomes for populations in nations around the world.

KW - Information Storage and Retrieval

KW - Medical Informatics

KW - Medical Records Systems, Computerized

KW - Quality Control

KW - Quality Improvement

UR - http://www.scopus.com/inward/record.url?scp=84894380909&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84894380909&partnerID=8YFLogxK

U2 - 10.3233/978-1-61499-289-9-884

DO - 10.3233/978-1-61499-289-9-884

M3 - Conference contribution

C2 - 23920685

AN - SCOPUS:84894380909

SN - 9781614992882

VL - 192

SP - 884

EP - 888

BT - Studies in Health Technology and Informatics

ER -