TY - GEN
T1 - Assessing data integration and quality for the evaluation of point-of-care testing across rural and remote emergency departments in Australia
AU - Li, Ling
AU - McCaughey, Euan
AU - Iles-Mann, Juliana
AU - Sargeant, Andrew
AU - Dahm, Maria R
AU - Mumford, Virginia
AU - Westbrook, Johanna I.
AU - Georgiou, Andrew
N1 - Copyright the Author(s) 2017. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.
PY - 2017
Y1 - 2017
N2 - In Australia, New South Wales Health Pathology's implementation of managed Point-of-Care Testing (PoCT) services across rural and remote emergency departments (EDs) has the potential to significantly improve access to results for certain types of pathology laboratory tests and help to deliver timely patient care. The aim of this study was to assess the quality of the datasets, including the integration of PoCT results into clinical systems, as a precursor to the application of an evaluation framework for monitoring the delivery of PoCT services and their impact on patient care. Three datasets, including laboratory, ED presentations and hospital admissions data were extracted from the relevant clinical information systems. Each dataset was assessed on six dimensions: completeness, uniqueness, timeliness, validity, accuracy, and consistency. Data incompleteness was the largest problem. Assessing the PoCT data integration and data quality is a precondition for the evaluation of PoCT and for monitoring and improving service delivery.
AB - In Australia, New South Wales Health Pathology's implementation of managed Point-of-Care Testing (PoCT) services across rural and remote emergency departments (EDs) has the potential to significantly improve access to results for certain types of pathology laboratory tests and help to deliver timely patient care. The aim of this study was to assess the quality of the datasets, including the integration of PoCT results into clinical systems, as a precursor to the application of an evaluation framework for monitoring the delivery of PoCT services and their impact on patient care. Three datasets, including laboratory, ED presentations and hospital admissions data were extracted from the relevant clinical information systems. Each dataset was assessed on six dimensions: completeness, uniqueness, timeliness, validity, accuracy, and consistency. Data incompleteness was the largest problem. Assessing the PoCT data integration and data quality is a precondition for the evaluation of PoCT and for monitoring and improving service delivery.
KW - Point-of-Care Testing
KW - Data Accuracy
KW - Australia
KW - Point-of-care testing
KW - Data accuracy
UR - http://www.scopus.com/inward/record.url?scp=85040525690&partnerID=8YFLogxK
U2 - 10.3233/978-1-61499-830-3-471
DO - 10.3233/978-1-61499-830-3-471
M3 - Conference proceeding contribution
SN - 9781614998297
VL - 245
T3 - Studies in Health Technology and Informatics
SP - 471
EP - 475
BT - MEDINFO 2017
A2 - Gundlapalli, Adi V.
A2 - Jaulent, Marie-Christine
A2 - Zhao, Dongsheng
PB - IOS Press
CY - Amsterdam, Netherlands
T2 - World Congress on Medical and Health Informatics (16th : 2017)
Y2 - 21 August 2017 through 25 August 2017
ER -