Bernard Fernando
Overview
Explore the profile of Bernard Fernando including associated specialties, affiliations and a list of published articles.
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Articles
18
Citations
395
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0
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Recent Articles
1.
Hayward J, Buckingham S, Thomson F, Milne H, Sheikh A, Fernando B, et al.
J Innov Health Inform
. 2016 Feb;
22(4):409-25.
PMID: 26855275
Background: Systematic reviews have suggested that time spent on computer-related tasks increases consultation length. However, these reviews pre-date the current ubiquitous use of computers in U.K. general practice. Objective: As...
2.
Structuring and coding in health care records: a qualitative analysis using diabetes as a case study
Robertson A, Fernando B, Morrison Z, Kalra D, Sheikh A
J Innov Health Inform
. 2015 Aug;
22(2):275-83.
PMID: 26245241
Background: Globally, diabetes mellitus presents a substantial and increasing burden to individuals, health care systems and society. Structuring and coding of information in the electronic health record underpin attempts to...
3.
Maaskant J, Vermeulen H, Apampa B, Fernando B, Ghaleb M, Neubert A, et al.
Cochrane Database Syst Rev
. 2015 Mar;
(3):CD006208.
PMID: 25756542
Background: Many hospitalised patients are affected by medication errors (MEs) that may cause discomfort, harm and even death. Children are at especially high risk of harm as the result of...
4.
Morrison Z, Fernando B, Kalra D, Cresswell K, Robertson A, Sheikh A
Inform Prim Care
. 2014 Sep;
21(3):118-31.
PMID: 25207615
Background: Although the collection of patient ethnicity data is a requirement of publicly funded healthcare providers in the UK, recording of ethnicity is sub-optimal for reasons that remain poorly understood....
5.
Fernando B, Morrison Z, Kalra D, Cresswell K, Sheikh A
PLoS One
. 2014 Apr;
9(4):e93047.
PMID: 24740090
Background: Drug allergy represent an important subset of adverse drug reactions that is worthy of attention because many of these reactions are potentially preventable with use of computerised decision support...
6.
Morrison Z, Fernando B, Kalra D, Cresswell K, Sheikh A
J Am Med Inform Assoc
. 2013 Nov;
21(3):492-500.
PMID: 24186957
Objective: We aimed to explore stakeholder views, attitudes, needs, and expectations regarding likely benefits and risks resulting from increased structuring and coding of clinical information within electronic health records (EHRs)....
7.
Kalra D, Fernando B, Morrison Z, Sheikh A
Inform Prim Care
. 2013 May;
20(3):171-80.
PMID: 23710841
Background: The case has historically been presented that structured and/or coded electronic health records (EHRs) benefit direct patient care, but the evidence base for this is not well documented. Methods:...
8.
Ruston A, Smith A, Fernando B
BMC Public Health
. 2013 Apr;
13:386.
PMID: 23617727
Background: Diabetes represents one of the biggest public health challenges facing the UK. It is also associated with increasing costs to the economy due to working days lost as people...
9.
Hayward J, Thomson F, Milne H, Buckingham S, Sheikh A, Fernando B, et al.
J Am Med Inform Assoc
. 2013 Mar;
20(e1):e76-84.
PMID: 23470696
Objective: Computerized decision support systems (CDSS) are commonly deployed to support prescribing, although over-riding of alerts by prescribers remains a concern. We aimed to understand how general practitioners (GPs) interact...
10.
Fernando B, Kalra D, Morrison Z, Byrne E, Sheikh A
BMJ Qual Saf
. 2012 Feb;
21(4):337-46.
PMID: 22328458
Background: Patient histories in electronic health records currently exist mainly in free text format thereby limiting the possibility that decision support technology may contribute to the accuracy and timeliness of...