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NIHR: Implementation, adoption and effectiveness of ePres
Sheikh, Aziz
(Principal Investigator)
Deanery of Molecular, Genetic and Population Health Sciences
Overview
Fingerprint
Research output
(3)
Research output
Research output per year
2016
2016
2017
2018
2018
3
Article
Research output per year
Research output per year
3 results
Title
(ascending)
Publication Year, Title
Title
(descending)
Type
Search results
Establishing data-intensive learning health systems: an interdisciplinary exploration of the planned introduction of hospital electronic prescribing and medicines administration systems in Scotland
Cresswell, K. M.
,
Smith, P.
,
Swainson, C.
,
Timoney, A.
&
Sheikh, A.
,
4 Oct 2016
,
In:
Journal of Innovation in Health Informatics.
23
,
3
,
p. 572-579
8 p.
Research output
:
Contribution to journal
›
Article
›
peer-review
Open Access
File
Learning Health System
100%
Electronic Prescribing
91%
Scotland
69%
Systems Analysis
68%
Medicine
59%
Impact of a commercial order entry system on prescribing errors amenable to computerised decision support in the hospital setting: a prospective pre-post study
Pontefract, S. K.
,
Hodson, J.
,
Slee, A.
,
Shah, S.
,
Girling, A. J.
,
Williams, R.
,
Sheikh, A.
&
Coleman, J. J.
,
23 Mar 2018
, (E-pub ahead of print)
In:
BMJ Quality & Safety.
Research output
:
Contribution to journal
›
Article
›
peer-review
Open Access
File
Medical Order Entry Systems
100%
hospital setting
87%
Clinical Decision Support Systems
75%
clinical decisions
41%
physician
28%
Sustained user engagement in health information technology: The long road from implementation to system optimization of computerized physician order entry and clinical decision support systems for prescribing in hospitals in England
on behalf of the NIHR ePrescribing Programme Team
,
Oct 2017
,
In:
Health Services Research.
52
,
5
,
p. 1928-1957
30 p.
Research output
:
Contribution to journal
›
Article
›
peer-review
Open Access
File
Medical Order Entry Systems
100%
Clinical Decision Support Systems
86%
Medical Informatics
83%
clinical decisions
83%
health information
68%