Literature DB >> 8880271

Information technology in diabetes care 'Diabeta': 23 years of development and use of a computer-based record for diabetes care.

P Sönksen1, C Williams.   

Abstract

In this article we have stressed that a diabetes care information system should be useful to, usable and actually used by carers at the point of patient contact. Information resulting from such encounters should, at no extra cost, furnish the needs of communication, audit, research and management. Diabeta is a clinical record system for supporting the management of patients with diabetes. It has grown 'organically' within an academic clinical unit over a period of 23 years. It is used for each and every encounter with the clinicians in our diabetes team and as such, contains an immense amount of objective clinical experience. This experience can be interrogated very easily by computer-naive clinicians using a remarkable interactive program ('Datascan') which contains statistical procedures 'embedded' in the APL computer code, eliminating the need to 'export' the data into a statistical package. The latest PC-based version is incredibly fast and this immense amount of clinical experience can be carried around on a notebook PC and be available for exploration at any time. This makes 'evidence-based medicine' available in a remarkably flexible way since it shares the accumulated objective experience of literally 'dozens' of clinicians over a period which now extends to 23 years. It adds a completely new dimension to the term 'clinical experience' and is unattainable with manual records. It would be naive to assume that such systems are easy to design, build or implement, or that the initial capital outlay required will be small although costs are falling continuously. Medicine is a highly complex activity, the essential basis of which is human interaction. Introduction of a technology into this interaction requires sensitivity to the wishes and requirements of individuals, and protection of their exchanges from third parties. The potential of computers in diabetes care is so great that these issues must be addressed through continuing research, development, evaluation and funding of new systems. This must be led by the medical profession not the computer industry.

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Year:  1996        PMID: 8880271     DOI: 10.1016/0020-7101(96)81526-1

Source DB:  PubMed          Journal:  Int J Biomed Comput        ISSN: 0020-7101


  4 in total

1.  Semantic based concept differential retrieval & equivalence detection in clinical terms version 3 (Read Codes).

Authors:  P J Brown; C Price
Journal:  Proc AMIA Symp       Date:  1999

2.  Evaluation of the quality of information retrieval of clinical findings from a computerized patient database using a semantic terminological model.

Authors:  P J Brown; P Sönksen
Journal:  J Am Med Inform Assoc       Date:  2000 Jul-Aug       Impact factor: 4.497

3.  Does size matter?--Evaluation of value added content of two decades of successive coding schemes in secondary care.

Authors:  P J Brown; L Odusanya
Journal:  Proc AMIA Symp       Date:  2001

4.  From design to implementation--the Joint Asia Diabetes Evaluation (JADE) program: a descriptive report of an electronic web-based diabetes management program.

Authors:  Gary T Ko; Wing-Yee So; Peter C Tong; Francois Le Coguiec; Debborah Kerr; Greg Lyubomirsky; Beaver Tamesis; Troels Wolthers; Jennifer Nan; Juliana Chan
Journal:  BMC Med Inform Decis Mak       Date:  2010-05-13       Impact factor: 2.796

  4 in total

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