Knowledge as a Service at the Point of Care

Jane L. Shellum, Robert Freimuth, Steve G. Peters, Rick A. Nishimura, Rajeev Chaudhry, Steve J. Demuth, Amy L. Knopp, Timothy A. Miksch, Dawn S. Milliner

Research output: Contribution to journalArticle

Abstract

An electronic health record (EHR) can assist the delivery of high-quality patient care, in part by providing the capability for a broad range of clinical decision support, including contextual references (e.g., Infobuttons), alerts and reminders, order sets, and dashboards. All of these decision support tools are based on clinical knowledge; unfortunately, the mechanisms for managing rules, order sets, Infobuttons, and dashboards are often unrelated, making it difficult to coordinate the application of clinical knowledge to various components of the clinical workflow. Additional complexity is encountered when updating enterprise-wide knowledge bases and delivering the content through multiple modalities to different consumers. We present the experience of Mayo Clinic as a case study to examine the requirements and implementation challenges related to knowledge management across a large, multi-site medical center. The lessons learned through the development of our knowledge management and delivery platform will help inform the future development of interoperable knowledge resources.

Original languageEnglish (US)
Pages (from-to)1139-1148
Number of pages10
JournalAMIA ... Annual Symposium proceedings. AMIA Symposium
Volume2016
StatePublished - 2016

Fingerprint

Point-of-Care Systems
Knowledge Management
Clinical Decision Support Systems
Knowledge Bases
Workflow
Electronic Health Records
Quality of Health Care
Patient Care

ASJC Scopus subject areas

  • Medicine(all)

Cite this

Shellum, J. L., Freimuth, R., Peters, S. G., Nishimura, R. A., Chaudhry, R., Demuth, S. J., ... Milliner, D. S. (2016). Knowledge as a Service at the Point of Care. AMIA ... Annual Symposium proceedings. AMIA Symposium, 2016, 1139-1148.

Knowledge as a Service at the Point of Care. / Shellum, Jane L.; Freimuth, Robert; Peters, Steve G.; Nishimura, Rick A.; Chaudhry, Rajeev; Demuth, Steve J.; Knopp, Amy L.; Miksch, Timothy A.; Milliner, Dawn S.

In: AMIA ... Annual Symposium proceedings. AMIA Symposium, Vol. 2016, 2016, p. 1139-1148.

Research output: Contribution to journalArticle

Shellum, JL, Freimuth, R, Peters, SG, Nishimura, RA, Chaudhry, R, Demuth, SJ, Knopp, AL, Miksch, TA & Milliner, DS 2016, 'Knowledge as a Service at the Point of Care', AMIA ... Annual Symposium proceedings. AMIA Symposium, vol. 2016, pp. 1139-1148.
Shellum JL, Freimuth R, Peters SG, Nishimura RA, Chaudhry R, Demuth SJ et al. Knowledge as a Service at the Point of Care. AMIA ... Annual Symposium proceedings. AMIA Symposium. 2016;2016:1139-1148.
Shellum, Jane L. ; Freimuth, Robert ; Peters, Steve G. ; Nishimura, Rick A. ; Chaudhry, Rajeev ; Demuth, Steve J. ; Knopp, Amy L. ; Miksch, Timothy A. ; Milliner, Dawn S. / Knowledge as a Service at the Point of Care. In: AMIA ... Annual Symposium proceedings. AMIA Symposium. 2016 ; Vol. 2016. pp. 1139-1148.
@article{7df08386fde7478e8afeb38a9355681b,
title = "Knowledge as a Service at the Point of Care",
abstract = "An electronic health record (EHR) can assist the delivery of high-quality patient care, in part by providing the capability for a broad range of clinical decision support, including contextual references (e.g., Infobuttons), alerts and reminders, order sets, and dashboards. All of these decision support tools are based on clinical knowledge; unfortunately, the mechanisms for managing rules, order sets, Infobuttons, and dashboards are often unrelated, making it difficult to coordinate the application of clinical knowledge to various components of the clinical workflow. Additional complexity is encountered when updating enterprise-wide knowledge bases and delivering the content through multiple modalities to different consumers. We present the experience of Mayo Clinic as a case study to examine the requirements and implementation challenges related to knowledge management across a large, multi-site medical center. The lessons learned through the development of our knowledge management and delivery platform will help inform the future development of interoperable knowledge resources.",
author = "Shellum, {Jane L.} and Robert Freimuth and Peters, {Steve G.} and Nishimura, {Rick A.} and Rajeev Chaudhry and Demuth, {Steve J.} and Knopp, {Amy L.} and Miksch, {Timothy A.} and Milliner, {Dawn S.}",
year = "2016",
language = "English (US)",
volume = "2016",
pages = "1139--1148",
journal = "AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium",
issn = "1559-4076",
publisher = "American Medical Informatics Association",

}

TY - JOUR

T1 - Knowledge as a Service at the Point of Care

AU - Shellum, Jane L.

AU - Freimuth, Robert

AU - Peters, Steve G.

AU - Nishimura, Rick A.

AU - Chaudhry, Rajeev

AU - Demuth, Steve J.

AU - Knopp, Amy L.

AU - Miksch, Timothy A.

AU - Milliner, Dawn S.

PY - 2016

Y1 - 2016

N2 - An electronic health record (EHR) can assist the delivery of high-quality patient care, in part by providing the capability for a broad range of clinical decision support, including contextual references (e.g., Infobuttons), alerts and reminders, order sets, and dashboards. All of these decision support tools are based on clinical knowledge; unfortunately, the mechanisms for managing rules, order sets, Infobuttons, and dashboards are often unrelated, making it difficult to coordinate the application of clinical knowledge to various components of the clinical workflow. Additional complexity is encountered when updating enterprise-wide knowledge bases and delivering the content through multiple modalities to different consumers. We present the experience of Mayo Clinic as a case study to examine the requirements and implementation challenges related to knowledge management across a large, multi-site medical center. The lessons learned through the development of our knowledge management and delivery platform will help inform the future development of interoperable knowledge resources.

AB - An electronic health record (EHR) can assist the delivery of high-quality patient care, in part by providing the capability for a broad range of clinical decision support, including contextual references (e.g., Infobuttons), alerts and reminders, order sets, and dashboards. All of these decision support tools are based on clinical knowledge; unfortunately, the mechanisms for managing rules, order sets, Infobuttons, and dashboards are often unrelated, making it difficult to coordinate the application of clinical knowledge to various components of the clinical workflow. Additional complexity is encountered when updating enterprise-wide knowledge bases and delivering the content through multiple modalities to different consumers. We present the experience of Mayo Clinic as a case study to examine the requirements and implementation challenges related to knowledge management across a large, multi-site medical center. The lessons learned through the development of our knowledge management and delivery platform will help inform the future development of interoperable knowledge resources.

UR - http://www.scopus.com/inward/record.url?scp=85027971677&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85027971677&partnerID=8YFLogxK

M3 - Article

VL - 2016

SP - 1139

EP - 1148

JO - AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium

JF - AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium

SN - 1559-4076

ER -