An algorithm to improve diagnostic accuracy in diabetes in computerised problem orientated medical records (POMR) compared with an established algorithm developed in episode orientated records (EOMR)

Lusignan, Simon de; Liaw, Siaw‐Teng; Dedman, Daniel; Khunti, Kamlesh; Sadek, Khaled; Jones, Simon

doi:10.14236/jhi.v22i2.79

Cited by 21 publications

(18 citation statements)

References 26 publications

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“…This has to be adjusted for in analyses. 39 Finally, RCGP RSC data are probably the most up to date of the data sources, perhaps inevitably so, given the RSC's surveillance function. Data extracted up to the end of the previous week is analysed by noon on Wednesday and is in the public domain by 2 pm on Thursday of the following week.…”

Section: Comparison With Existing Literature and Other Uk Databasesmentioning

confidence: 99%

RCGP Research and Surveillance Centre Annual Report 2014–2015: disparities in presentations to primary care

Lusignan¹,

Correa

Pathirannehelage

et al. 2016

Br J Gen Pract

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Section: Comparison With Existing Literature and Other Uk Databasesmentioning

confidence: 99%

RCGP Research and Surveillance Centre Annual Report 2014–2015: disparities in presentations to primary care

Lusignan¹,

Correa

Pathirannehelage

et al. 2016

Br J Gen Pract

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“…EMIS, however, is an Episode Oriented Medical Record (EOMR) software, meaning that this linkage is not obligated. It is widely accepted that POMR-based systems reduce intra-patient coding variability, which assists in maintaining higher quality data 15. This study has demonstrated that data from CPRD and THIN account for the vast majority of research outputs from primary care databases.…”

Section: Discussionmentioning

confidence: 90%

“…The THIN database contains data exclusively from Vision/INPS, while QResearch uses only EMIS. Vision/INPS is a Problem Oriented Medical Record (POMR) software, meaning that it mandates the linkage of medical and drug information or visit consultations to a specific coded problem(s) 15. EMIS, however, is an Episode Oriented Medical Record (EOMR) software, meaning that this linkage is not obligated.…”

Section: Discussionmentioning

confidence: 99%

Outputs and Growth of Primary Care Databases in the United Kingdom: Bibliometric Analysis

Chaudhry¹,

Mannan

Gibson-White

et al. 2017

jhi

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Background Electronic health database (EHD) data are increasingly used by researchers. The major United Kingdom EHDs are the 'Clinical Practice Research Datalink' (CPRD), 'The Health Improvement Network' (THIN) and 'QResearch'. Over time, outputs from these databases have increased but have not been evaluated. Objective This study compares research outputs from CPRD, THIN and QResearch assessing growth and publication outputs over a 10-year period (2004-2013). CPRD was also reviewed separately over 20 years as a case study. Methods Publications from CPRD and QResearch were extracted using the Science Citation Index of the Thomson Scientific Institute for Scientific Information (Web of Science). THIN data were obtained from University College London and validated in the Web of Science. All databases were analysed for growth in publications, the speciality areas and the journals in which their data have been published. Results These databases collectively produced 1,296 publications over a tenyear period, with CPRD representing 63.6% (n = 825 papers), THIN 30.4% (n = 394) and QResearch 5.9% (n = 77). Pharmacoepidemiology and General Medicine were the most common specialities featured. Over the 9-year period (2004)(2005)(2006)(2007)(2008)(2009)(2010)(2011)(2012)(2013), publications for THIN and QResearch have slowly increased over time, whereas CPRD publications have increased substantially in the last 4 years with almost 75% of CPRD publications published in the past 9 years. Conclusion These databases are enhancing scientific research and are growing yearly, however display variability in their growth. They could become more powerful research tools if the National Health Service and general practitioners can provide accurate and comprehensive data for inclusion in these databases.

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“…We call the latter episode orientated medical records (EOMR)! Using diabetes as an exemplar, we demonstrate how there are record-design-driven differences in coding practice and hence different strategies are needed for case finding 20. This work followed observations made in detailed multi-channel video observation of different computer systems 21,22.…”

Section: Clinical Informatics: Fatigue Child Maltreatment and More Amentioning

confidence: 89%

In this issue: Unleashing the power of e-Health requires the development of an evidence base for interventions that improve care

Lusignan

2015

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The two leading articles in this issue of Informatics in Primary Care describe the importance of creating the right evidence base if we are to Unleash the Power of e-Health. Policy needs to promote well-thought-out developments that are evidence based, have the right theoretical underpinnings and are carefully modelled to see where and how they might fit into the (very human) process of health care delivery and most importantly affect health outcomes. To inform this debate, we need to be clear about what we mean by e-Health and the evidence base, their origins and definitions (Boxes 1 and 2). In this issueCopyright © e-Health: e-Health was a term coined in 1999 out of the realisation that 'telemedicine' (technologies that delivered medicine at a distance) was too isolated a concept and that any use of technology had to be better integrated with other information technologies and into health systems. 1 Definitions of e-Health have since then sometimes been more Internet centred; for example:• e-Health refers to the organisation and delivery of health services and information using the Internet and related technologies. 2 • Others take a more health management focus, for example the World Health Organisation definition: • e-Health is the transfer of health resources and health care by electronic means. It encompasses three main areas:• The delivery of health information, for health professionals and health consumers, through the Internet and telecommunications.• Using the power of IT and e-commerce to improve public health services, e.g. through the education and training of health workers.• The use of e-commerce and e-business practices in health systems management. 3 • e-Health combined with patient access to evidence and their records has the potential to empower patient choice. 4

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An algorithm to improve diagnostic accuracy in diabetes in computerised problem orientated medical records (POMR) compared with an established algorithm developed in episode orientated records (EOMR)

Cited by 21 publications

References 26 publications

RCGP Research and Surveillance Centre Annual Report 2014–2015: disparities in presentations to primary care

RCGP Research and Surveillance Centre Annual Report 2014–2015: disparities in presentations to primary care

Outputs and Growth of Primary Care Databases in the United Kingdom: Bibliometric Analysis

In this issue: Unleashing the power of e-Health requires the development of an evidence base for interventions that improve care

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