A sequential data analysis approach to electronic health record workflow

David R. Kaufman; Stephanie K. Furniss; Maria Adela Grando; David W. Larson; Matthew M. Burton

doi:10.3233/978-1-61499-574-6-120

A sequential data analysis approach to electronic health record workflow

David R. Kaufman, Stephanie K. Furniss, Maria Adela Grando, David W. Larson, Matthew M. Burton

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Scopus citations

Abstract

Failure to understand clinical workflow across electronic health record (EHR) tasks is a significant contributor to usability problems. In this paper, we employed sequential data analysis methods with the aim of characterizing patterns of 5 clinicians' information-gathering across 66 patients. Two analyses were conducted. The first one characterized the most common sequential patterns as reflected in the screen transitions. The second analysis was designed to mine and quantify the frequency of sequence occurrence. We observed 27 screen-transition patterns that were employed from 2 to 7 times. Documents/Images and Intake/Output screens were viewed for nearly all patients indicating the importance of these information sources. In some cases, they were viewed more than once which may show that users are following inefficient patterns in the information gathering process. New quantitative methods of analysis as applied to interaction data can yield critical insights in robust designs that better support clinical workflow.

Original language	English (US)
Title of host publication	Context Sensitive Health Informatics
Subtitle of host publication	Many Places, Many Users, Many Contexts, Many Uses
Editors	Nohr Christian, Craig E. Kuziemsky, Andre W. Kushniruk, Elizabeth M. Borycki
Publisher	IOS Press
Pages	120-125
Number of pages	6
ISBN (Electronic)	9781614995739
DOIs	https://doi.org/10.3233/978-1-61499-574-6-120
State	Published - 2015
Event	Context Sensitive Health Informatics Conference, CSHI 2015 - Curitiba, Brazil Duration: Aug 15 2015 → Aug 16 2015

Publication series

Name	Studies in Health Technology and Informatics
Volume	218
ISSN (Print)	0926-9630
ISSN (Electronic)	1879-8365

Other

Other	Context Sensitive Health Informatics Conference, CSHI 2015
Country/Territory	Brazil
City	Curitiba
Period	8/15/15 → 8/16/15

Keywords

Electronic health records
process mining
sequential pattern analysis
usability

ASJC Scopus subject areas

Biomedical Engineering
Health Informatics
Health Information Management

Access to Document

10.3233/978-1-61499-574-6-120

Cite this

Kaufman, D. R., Furniss, S. K., Grando, M. A., Larson, D. W., & Burton, M. M. (2015). A sequential data analysis approach to electronic health record workflow. In N. Christian, C. E. Kuziemsky, A. W. Kushniruk, & E. M. Borycki (Eds.), Context Sensitive Health Informatics: Many Places, Many Users, Many Contexts, Many Uses (pp. 120-125). (Studies in Health Technology and Informatics; Vol. 218). IOS Press. https://doi.org/10.3233/978-1-61499-574-6-120

A sequential data analysis approach to electronic health record workflow. / Kaufman, David R.; Furniss, Stephanie K.; Grando, Maria Adela et al.
Context Sensitive Health Informatics: Many Places, Many Users, Many Contexts, Many Uses. ed. / Nohr Christian; Craig E. Kuziemsky; Andre W. Kushniruk; Elizabeth M. Borycki. IOS Press, 2015. p. 120-125 (Studies in Health Technology and Informatics; Vol. 218).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Kaufman, DR, Furniss, SK, Grando, MA, Larson, DW & Burton, MM 2015, A sequential data analysis approach to electronic health record workflow. in N Christian, CE Kuziemsky, AW Kushniruk & EM Borycki (eds), Context Sensitive Health Informatics: Many Places, Many Users, Many Contexts, Many Uses. Studies in Health Technology and Informatics, vol. 218, IOS Press, pp. 120-125, Context Sensitive Health Informatics Conference, CSHI 2015, Curitiba, Brazil, 8/15/15. https://doi.org/10.3233/978-1-61499-574-6-120

Kaufman DR, Furniss SK, Grando MA, Larson DW, Burton MM. A sequential data analysis approach to electronic health record workflow. In Christian N, Kuziemsky CE, Kushniruk AW, Borycki EM, editors, Context Sensitive Health Informatics: Many Places, Many Users, Many Contexts, Many Uses. IOS Press. 2015. p. 120-125. (Studies in Health Technology and Informatics). doi: 10.3233/978-1-61499-574-6-120

Kaufman, David R. ; Furniss, Stephanie K. ; Grando, Maria Adela et al. / A sequential data analysis approach to electronic health record workflow. Context Sensitive Health Informatics: Many Places, Many Users, Many Contexts, Many Uses. editor / Nohr Christian ; Craig E. Kuziemsky ; Andre W. Kushniruk ; Elizabeth M. Borycki. IOS Press, 2015. pp. 120-125 (Studies in Health Technology and Informatics).

@inproceedings{081db3ebb3794bc3a886d30047644150,

title = "A sequential data analysis approach to electronic health record workflow",

abstract = "Failure to understand clinical workflow across electronic health record (EHR) tasks is a significant contributor to usability problems. In this paper, we employed sequential data analysis methods with the aim of characterizing patterns of 5 clinicians' information-gathering across 66 patients. Two analyses were conducted. The first one characterized the most common sequential patterns as reflected in the screen transitions. The second analysis was designed to mine and quantify the frequency of sequence occurrence. We observed 27 screen-transition patterns that were employed from 2 to 7 times. Documents/Images and Intake/Output screens were viewed for nearly all patients indicating the importance of these information sources. In some cases, they were viewed more than once which may show that users are following inefficient patterns in the information gathering process. New quantitative methods of analysis as applied to interaction data can yield critical insights in robust designs that better support clinical workflow.",

keywords = "Electronic health records, process mining, sequential pattern analysis, usability",

author = "Kaufman, {David R.} and Furniss, {Stephanie K.} and Grando, {Maria Adela} and Larson, {David W.} and Burton, {Matthew M.}",

note = "Publisher Copyright: {\textcopyright} 2015 The authors and IOS Press.; Context Sensitive Health Informatics Conference, CSHI 2015 ; Conference date: 15-08-2015 Through 16-08-2015",

year = "2015",

doi = "10.3233/978-1-61499-574-6-120",

language = "English (US)",

series = "Studies in Health Technology and Informatics",

publisher = "IOS Press",

pages = "120--125",

editor = "Nohr Christian and Kuziemsky, {Craig E.} and Kushniruk, {Andre W.} and Borycki, {Elizabeth M.}",

booktitle = "Context Sensitive Health Informatics",

}

TY - GEN

T1 - A sequential data analysis approach to electronic health record workflow

AU - Kaufman, David R.

AU - Furniss, Stephanie K.

AU - Grando, Maria Adela

AU - Larson, David W.

AU - Burton, Matthew M.

PY - 2015

Y1 - 2015

N2 - Failure to understand clinical workflow across electronic health record (EHR) tasks is a significant contributor to usability problems. In this paper, we employed sequential data analysis methods with the aim of characterizing patterns of 5 clinicians' information-gathering across 66 patients. Two analyses were conducted. The first one characterized the most common sequential patterns as reflected in the screen transitions. The second analysis was designed to mine and quantify the frequency of sequence occurrence. We observed 27 screen-transition patterns that were employed from 2 to 7 times. Documents/Images and Intake/Output screens were viewed for nearly all patients indicating the importance of these information sources. In some cases, they were viewed more than once which may show that users are following inefficient patterns in the information gathering process. New quantitative methods of analysis as applied to interaction data can yield critical insights in robust designs that better support clinical workflow.

AB - Failure to understand clinical workflow across electronic health record (EHR) tasks is a significant contributor to usability problems. In this paper, we employed sequential data analysis methods with the aim of characterizing patterns of 5 clinicians' information-gathering across 66 patients. Two analyses were conducted. The first one characterized the most common sequential patterns as reflected in the screen transitions. The second analysis was designed to mine and quantify the frequency of sequence occurrence. We observed 27 screen-transition patterns that were employed from 2 to 7 times. Documents/Images and Intake/Output screens were viewed for nearly all patients indicating the importance of these information sources. In some cases, they were viewed more than once which may show that users are following inefficient patterns in the information gathering process. New quantitative methods of analysis as applied to interaction data can yield critical insights in robust designs that better support clinical workflow.

KW - Electronic health records

KW - process mining

KW - sequential pattern analysis

KW - usability

UR - http://www.scopus.com/inward/record.url?scp=84952017649&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84952017649&partnerID=8YFLogxK

U2 - 10.3233/978-1-61499-574-6-120

DO - 10.3233/978-1-61499-574-6-120

M3 - Conference contribution

C2 - 26262538

AN - SCOPUS:84952017649

T3 - Studies in Health Technology and Informatics

SP - 120

EP - 125

BT - Context Sensitive Health Informatics

A2 - Christian, Nohr

A2 - Kuziemsky, Craig E.

A2 - Kushniruk, Andre W.

A2 - Borycki, Elizabeth M.

PB - IOS Press

T2 - Context Sensitive Health Informatics Conference, CSHI 2015

Y2 - 15 August 2015 through 16 August 2015

ER -

A sequential data analysis approach to electronic health record workflow

Abstract

Publication series

Other

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this