The Adoption of Computers by Australian General Practice – A Complex Adaptive Systems Analysis

Pearce, Christopher

doi:10.4172/2329-9126.1000121

Cited by 3 publications

(5 citation statements)

References 24 publications

(17 reference statements)

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“…1 However, few models of how to consult incorporate any reference to computer use. [2][3][4] It is claimed that computer use enhances some elements of the consultation [5][6][7][8] by improving the completeness of medical records, 9 accuracy of prescribing, and patient safety, 10 11 and supporting chronic disease management. 12 Despite the increased use of computers, both patients and clinicians still have reservations about their role in the consultation, 13 14 and computer use may interrupt the consultation workflow.…”

Section: Introductionmentioning

confidence: 99%

Using the computer in the clinical consultation; setting the stage, reviewing, recording, and taking actions: multi-channel video study

Kumarapeli

Lusignan

2013

Journal of the American Medical Informatics Association

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Section: Introductionmentioning

confidence: 99%

Using the computer in the clinical consultation; setting the stage, reviewing, recording, and taking actions: multi-channel video study

Kumarapeli

Lusignan

2013

Journal of the American Medical Informatics Association

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“…Previously survey data has provided insight into general practice activity [13] although these surveys were not intended to facilitate whole-sector research linking with data from other sources or longitudinal follow-up of patients. More suitable clinical data for many research questions is collected through the clinical information system (CIS) software increasingly used by general practitioners since their introduction in the 1990's [14] to manage their patients [3]. This software initially focussed on collecting administrative and business related information, such as billing and scheduling, to assist with daily practice processes.…”

Section: General Practice Datamentioning

confidence: 99%

“…More suitable clinical data for many research questions is collected through the clinical information system (CIS) software increasingly used by general practitioners since their introduction in the 1990’s [ 14 ] to manage their patients [ 3 ]. This software initially focussed on collecting administrative and business related information, such as billing and scheduling, to assist with daily practice processes.…”

Section: Introductionmentioning

confidence: 99%

Using general practice clinical information system data for research: the case in Australia

Youens

Moorin

Harrison

et al. 2020

IJPDS

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General practice is often a patient’s first point of contact with the health system and the gateway to specialist services. In Australia different aspects of the health system are managed by the Commonwealth Government and individual state/territory governments. Although there is a long history of research using administrative data in Australia, this split in the management and funding of services has hindered whole-system research. Additionally, the administrative data typically available for research are often collected for reimbursement purposes and lack clinical information. General practices collect a range of patient information including diagnoses, medications prescribed, results of pathology tests ordered and so on. Practices are increasingly using clinical information systems and data extraction tools to make use of this information. This paper describes approaches used on several research projects to access clinical, as opposed to administrative, general practice data which to date has seen little use as a resource for research. This information was accessed in three ways. The first was by working directly with practices to access clinical and management data to support research. The second involved accessing general practice data through collaboration with Primary Health Networks, recently established in Australia to increase the efficiency and effectiveness of health services for patients. The third was via NPS MedicineWise’s MedicineInsight program, which collects data from consenting practices across Australia and makes these data available to researchers. We describe each approach including data access requirements and the advantages and challenges of each method. All approaches provide the opportunity to better understand data previously unavailable for research in Australia. The challenge of linking general practice data to other sources, currently being explored for general practice data, is discussed. Finally, we describe some general practice data collections used for research internationally and how these compare to collections available in Australia. Keywords: General practice; administrative data; big data, health information systems, medical records systems

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“…Australian general practice is the primary contact for the population: 90% of the population see a GP each year. GPs are also almost universally computerised, and have been for over 10 years 9. Therefore, the largest and most comprehensive electronic database of the population sits on the 8000 servers that service these independent GP practices.…”

Section: Introductionmentioning

confidence: 99%

“…GPs are also almost universally computerised, and have been for over 10 years. 9 Therefore, the largest and most comprehensive electronic database of the population sits on the 8000 servers that service these independent GP practices.…”

Section: Introductionmentioning

confidence: 99%

Coding and classifying GP data: the POLAR project

Pearce¹,

McLeod²,

Patrick³

et al. 2019

BMJ Health Care Inform

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BackgroundData, particularly ‘big’ data are increasingly being used for research in health. Using data from electronic medical records optimally requires coded data, but not all systems produce coded data.ObjectiveTo design a suitable, accurate method for converting large volumes of narrative diagnoses from Australian general practice records to codify them into SNOMED-CT-AU. Such codification will make them clinically useful for aggregation for population health and research purposes.MethodThe developed method consisted of using natural language processing to automatically code the texts, followed by a manual process to correct codes and subsequent natural language processing re-computation. These steps were repeated for four iterations until 95% of the records were coded. The coded data were then aggregated into classes considered to be useful for population health analytics.ResultsCoding the data effectively covered 95% of the corpus. Problems with the use of SNOMED CT-AU were identified and protocols for creating consistent coding were created. These protocols can be used to guide further development of SNOMED CT-AU (SCT). The coded values will be immensely useful for the development of population health analytics for Australia, and the lessons learnt applicable elsewhere.

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The Adoption of Computers by Australian General Practice – A Complex Adaptive Systems Analysis

Cited by 3 publications

References 24 publications

Using the computer in the clinical consultation; setting the stage, reviewing, recording, and taking actions: multi-channel video study

Using the computer in the clinical consultation; setting the stage, reviewing, recording, and taking actions: multi-channel video study

Using general practice clinical information system data for research: the case in Australia

Coding and classifying GP data: the POLAR project

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