Online question answering practices to support healthcare data re-use

Catherine Blake, Maria Souden, Caryn L. Anderson, Michael Twidale, Stelmack Jenifer E.

Research output: Contribution to journalArticle

Abstract

Institutional data collection practices inevitably evolve over time, especially in a distributed clinical setting. Clinical and administrative data can improve health and healthcare, but only if researchers ensure that the data is well-aligned to their reuse goals and that they have adequately accounted for changes in data collection practices over time. Our goal is to understand information behaviors of health services data users as they bridge the gap between the historical data and their intended data reuse goals. This project leverages more than a decade of listserv posts related to the use of clinical and administrative data by US Department of Veterans Affairs (VA) employees, providing longitudinal insight into data reuse practices in both research and operational settings. In this paper we report the results of a pilot study that highlighted questions raised in the use of data and the knowledge engaged to answer them.

Original languageEnglish (US)
Pages (from-to)1-4
Number of pages4
JournalProceedings of the Association for Information Science and Technology
Volume52
Issue number1
DOIs
StatePublished - Jan 1 2015

Fingerprint

Health
Personnel
health service
employee
health
time

Keywords

  • Big Data
  • Communities of Practice
  • Forums
  • Health
  • Social Question Answering

ASJC Scopus subject areas

  • Computer Science(all)
  • Library and Information Sciences

Cite this

Online question answering practices to support healthcare data re-use. / Blake, Catherine; Souden, Maria; Anderson, Caryn L.; Twidale, Michael; Jenifer E., Stelmack.

In: Proceedings of the Association for Information Science and Technology, Vol. 52, No. 1, 01.01.2015, p. 1-4.

Research output: Contribution to journalArticle

@article{a95faac83e7748f991ad577e56dc720a,
title = "Online question answering practices to support healthcare data re-use",
abstract = "Institutional data collection practices inevitably evolve over time, especially in a distributed clinical setting. Clinical and administrative data can improve health and healthcare, but only if researchers ensure that the data is well-aligned to their reuse goals and that they have adequately accounted for changes in data collection practices over time. Our goal is to understand information behaviors of health services data users as they bridge the gap between the historical data and their intended data reuse goals. This project leverages more than a decade of listserv posts related to the use of clinical and administrative data by US Department of Veterans Affairs (VA) employees, providing longitudinal insight into data reuse practices in both research and operational settings. In this paper we report the results of a pilot study that highlighted questions raised in the use of data and the knowledge engaged to answer them.",
keywords = "Big Data, Communities of Practice, Forums, Health, Social Question Answering",
author = "Catherine Blake and Maria Souden and Anderson, {Caryn L.} and Michael Twidale and {Jenifer E.}, Stelmack",
year = "2015",
month = "1",
day = "1",
doi = "10.1002/pra2.2015.1450520100116",
language = "English (US)",
volume = "52",
pages = "1--4",
journal = "Proceedings of the Association for Information Science and Technology",
issn = "2373-9231",
publisher = "John Wiley and Sons Inc.",
number = "1",

}

TY - JOUR

T1 - Online question answering practices to support healthcare data re-use

AU - Blake, Catherine

AU - Souden, Maria

AU - Anderson, Caryn L.

AU - Twidale, Michael

AU - Jenifer E., Stelmack

PY - 2015/1/1

Y1 - 2015/1/1

N2 - Institutional data collection practices inevitably evolve over time, especially in a distributed clinical setting. Clinical and administrative data can improve health and healthcare, but only if researchers ensure that the data is well-aligned to their reuse goals and that they have adequately accounted for changes in data collection practices over time. Our goal is to understand information behaviors of health services data users as they bridge the gap between the historical data and their intended data reuse goals. This project leverages more than a decade of listserv posts related to the use of clinical and administrative data by US Department of Veterans Affairs (VA) employees, providing longitudinal insight into data reuse practices in both research and operational settings. In this paper we report the results of a pilot study that highlighted questions raised in the use of data and the knowledge engaged to answer them.

AB - Institutional data collection practices inevitably evolve over time, especially in a distributed clinical setting. Clinical and administrative data can improve health and healthcare, but only if researchers ensure that the data is well-aligned to their reuse goals and that they have adequately accounted for changes in data collection practices over time. Our goal is to understand information behaviors of health services data users as they bridge the gap between the historical data and their intended data reuse goals. This project leverages more than a decade of listserv posts related to the use of clinical and administrative data by US Department of Veterans Affairs (VA) employees, providing longitudinal insight into data reuse practices in both research and operational settings. In this paper we report the results of a pilot study that highlighted questions raised in the use of data and the knowledge engaged to answer them.

KW - Big Data

KW - Communities of Practice

KW - Forums

KW - Health

KW - Social Question Answering

UR - http://www.scopus.com/inward/record.url?scp=84987739784&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84987739784&partnerID=8YFLogxK

U2 - 10.1002/pra2.2015.1450520100116

DO - 10.1002/pra2.2015.1450520100116

M3 - Article

AN - SCOPUS:84987739784

VL - 52

SP - 1

EP - 4

JO - Proceedings of the Association for Information Science and Technology

JF - Proceedings of the Association for Information Science and Technology

SN - 2373-9231

IS - 1

ER -