ABSTRACT
|
Keynote 3
Professor Jeremy Wyatt
|
Knowledge
management in medicine – are comprehensive electronic clinical
libraries the answer ?
Prof. Jeremy Wyatt
Medical Informatics
Department, Academic Medical Centre, Univ. of Amsterdam
UCL Knowledge Management
Centre, London www.ucl.ac.uk/kmc
The need to provide clinicians with up-to-date evidence-based
point of care knowledge resources is widely accepted [1-3], and a
number of “comprehensive electronic clinical library” projects
costing millions of euros already do this (eg. the National
electronic Library for Health, NeLH and Knowledge Access 24 in the
UK, the Clinical information Access Project in Australia).
However, we also know that doctors rarely use electronic library
services [4] and that there are many barriers to knowledge use by
clinicians [5]. These barriers include the time taken by clinicians
to find answers to their questions and low success rates [6]. For
example, of 1200 questions volunteered by US family physicians in
Ely’s study, the doctors searched for answers to only 444.
However, they used electronic resources to answer only 10 (2%) of
these 444 questions, and took a median of 3 minutes to search such
resources, finding an answer only twice [7]. This suggests that the
electronic resources themselves might be a significant barrier to
knowledge access.
Clearly no individual resource can answer all clinical questions,
so the UK NHS has now recommended 12 specific resources as being
suitable to answer clinical questions [8]. All of these are now
provided either free on the web or through contracts placed by the
NeLH.
However, we suspected that even this large number of resources
might not answer many clinical questions and were unsure how long it
would take to search them. We therefore studied the ability of
expert librarians to search for answers to 96 well formulated
clinical questions, half from primary and half from secondary care.
We deliberately biased our study in favour of the electronic
clinical library model, in the following ways:
-
The searchers were volunteer medical librarians
familiar with the NHS-commended resources (ie. faster, more expert
searchers than doctors)
-
We only selected well formed clinical questions (ie.
easier to search for answers)
-
All questions were volunteered in the last 2 years by
clinicians working in UK general practice or hospitals (ie. the
questions were thought to be answerable)
Our results were disappointing, with a 60% failure rate and only
16% of questions well answered. This was despite expert librarians
spending a median of 54 minutes searching a minimum of 5
comprehensive evidence based resources.
Our results demonstrate that the currently favoured model of a
comprehensive electronic clinical library is unlikely to answer many
clinical questions at the point of care - even if the doctor uses it
once her patients have gone home. Worse, providing clinicians with
access to such knowledge resources may introduce searching delays,
and could even lead to inappropriate tests or treatment for
patients.
Improvements to the electronic library model might include adding
ever more comprehensive resources, or providing a better search
function to enable doctors and others to find what they need fast,
without wasting time on unproductive searches. However, we believe
that a broader knowledge management strategy is needed which explore
alternatives to the comprehensive electronic clinical library, such
as:
-
A clinical question help line, analogous to NHSDirect,
with 24 X 7 access to librarians searching on demand and a regularly
updated store of FAQs available on a web site. This could be a
development of, and possibly based on, current informal question
answering services in various parts of the UK such as ATTRACT [9]
-
Intelligent personal search agents to which a
clinician could email a question and which would return seconds or
minutes later with a short answer and web links to further detail.
Such information agents are the subject of much current information
science research [eg. 10], but do not yet appear ready for clinical
field testing.
In conclusion, we believe that our study casts serious doubt on
the extent to which comprehensive electronic clinical libraries can
answer a sufficient proportion of clinical questions in time to
influence clinical decisions and, most importantly, actions. We
therefore suggest that new thinking is needed, such as a 24 X 7
librarian-mediated search and FAQ facility to complement direct user
searching.
Acknowledgements
NHS R&D programme, the BUPA Foundation, Claire O’Brien.
References
1. Smith
R. What clinical information do doctors need ?
BMJ 1996; 313:
1062-8
2. Wyatt
JC. Clinical knowledge and practice in the information
age: a
handbook for health professionals. RSM Press. ISBN
1-85315-483-0, 2001.
3.
J
A Muir Gray and Simon de Lusignan. National electronic Library
for Health (NeLH). BMJ 1999; 319: 1476-9
4.
William
R. Hersh; David H. Hickam. How Well Do Physicians Use
Electronic Information Retrieval Systems? A Framework for
Investigation and Systematic Review. JAMA. 1998;280:1347-1352
5. John
W Ely, Jerome A
Osheroff, Mark H Ebell, M Lee Chambliss, Daniel C Vinson, James
J Stevermer, and Eric A Pifer. Obstacles
to answering doctors' questions about patient care with
evidence: qualitative study. BMJ 2002; 324: 710
6. McKibbon KA, Haynes RB, Walker Dilks CJ, Ramsden MF, Ryan NC,
Baker L, Flemming T, Fitzgerald D. How good are clinical Medline
searches ? A comparative study of end-user and librarian searches.
Comp Biomed Res 1990; 23: 583-93
7. John W Ely, Jerome A Osheroff, Mark H Ebell, George R Bergus,
Barcey T Levy, M Lee Chambliss, Eric R Evans. Analysis of questions
asked by family doctors regarding patient care. BMJ 1999; 319:
358-361
8. NHS
Centre for Reviews and Dissemination, The University of York.
Accessing the Evidence on Clinical Effectiveness. Effectiveness
Matters February 2001; 5 (1)
9. Glyn Elwyn, Chris Price, and Paul Kinnersley. Just in time
information for clinicians: a questionnaire evaluation of the
ATTRACT project. BMJ 2001; 322: 529-530
10. Dertouzos
ML. The future of computing. Sci Am Aug ’99: 36-39
|