TY - GEN
T1 - A sequential data analysis approach to electronic health record workflow
AU - Kaufman, David
AU - Furniss, Stephanie K.
AU - Grando, Maria
AU - Larson, David W.
AU - Burton, Matthew
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
SN - 9781614995739
VL - 218
T3 - Studies in Health Technology and Informatics
SP - 120
EP - 125
BT - Studies in Health Technology and Informatics
PB - IOS Press
T2 - Context Sensitive Health Informatics Conference, CSHI 2015
Y2 - 15 August 2015 through 16 August 2015
ER -