SlideShare a Scribd company logo
1 of 6
Download to read offline
See discussions, stats, and author profiles for this publication at: https://www.researchgate.net/publication/9058067
ICT in Health Care: Sociotechnical Approaches
Article in Methods of Information in Medicine · February 2003
DOI: 10.1267/METH03040297 · Source: PubMed
CITATIONS
242
READS
4,866
3 authors, including:
Some of the authors of this publication are also working on these related projects:
Health Service Management Unit View project
Nursing Informatics Research View project
Jos Aarts
Erasmus University Rotterdam
100 PUBLICATIONS 3,462 CITATIONS
SEE PROFILE
All content following this page was uploaded by Jos Aarts on 22 March 2016.
The user has requested enhancement of the downloaded file.
© 2003 Schattauer GmbH
Methods Inf Med 4/2003
297
ICT in Health Care: Sociotechnical Approaches
M. Berg1
, J. Aarts1
, J. van der Lei2
1
Institute of Health Policy and Management, Erasmus University Medical Center,
Rotterdam, The Netherlands
2
Institute of Medical Informatics, Erasmus University Medical Center, Rotterdam, The Netherlands
What Are Sociotechnical
Approaches?
Within medical informatics, and within the
broader fields of informatics and informa-
tion systems, the importance of incorpo-
rating insights from the social sciences is
increasingly recognized [1, 2]. As informa-
tion systems require interaction with
people and thereby inevitably affect them,
understanding information systems re-
quires a focus on the interrelation between
technology and its social environment.
‘Sociotechnical approaches’ aim to do just
this: increase our understanding of how
information systems or novel electronic
communication techniques are developed,
introduced and become a part of social
practices.With this aim comes a concurrent
ambition to improve these systems. When
insights from the social sciences can help us
better understand these phenomena, after
all, they may also help us to make better
systems – or to make systems function
better.
There is no such thing as ‘the’ sociotech-
nical approach. The term has several
roots. Within information systems design,
Mumford and co-workers introduced a
‘sociotechnical approach’ some thirty years
ago. Their specific aim was to ensure that
developments in Information and Commu-
nication Technology (ICT) would go hand
in hand with a central focus on users’ skills,
job satisfaction, and good working rela-
tionships. The ‘social’ aspects of system
development, in other words, had to be
balanced with the ‘technical’ aspects [3, 4].
Independently, researchers in the field of
science and technology studies recognized
how in any in-depth study of the func-
tioning or development of a ‘technology’,
‘social aspects’ abounded – and vice versa.
To understand the successes or failures in
Summary
The importance of the social sciences for medical infor-
matics is increasingly recognized. As ICT requires inter-
action with people and thereby inevitably affects
them, understanding ICT requires a focus on the inter-
relation between technology and its social environ-
ment. Sociotechnical approaches increase our under-
standing of how ICT applications are developed, intro-
duced and become a part of social practices. Socio-
technical approaches share several starting points:
1) they see health care work as a social, ‘real life’
phenomenon, which may seem ‘messy’ at first, but
which is guided by a practical rationality that can only
be overlooked at a high price (i.e. failed systems).
2) They see technological innovation as a social
process, in which organizations are deeply affected.
3) Through in-depth, formative evaluation, they can
help improve system design and implementation.
Methods Inf Med 2003; 42: 297–301
Editorial
the history of bicycle design, for example,
one had to include diverse issues such as
gender, 19th century culture, or industry
strategies. Similarly, to understand the
development of 20th century towns one
cannot overlook how the impact of tech-
nologies such as the car resulted in a
‘spreading out’ of cities over new geograph-
ical spaces. To highlight this intertwine-
ment, they also coined the term ‘sociotech-
nical’ [5, 6]. A similar understanding of the
interdependency of ‘social’ and ‘technical’
elements is reflected in the use of the term
‘sociotechnical systems’ by authors investi-
gating errors in ‘high risk’ environments
such as airplanes or hospitals [7-9].
‘Sociotechnical’ analyses also originate
from fields such as Computer Supported
Cooperative Work, where social scientists
and computer scientists cooperate in order
to make tools to support group decision
making, collaborative writing, virtual
meetings, and so forth [10, 11]. Or from
Participatory Design, where – quite similar
to Mumford’s design principles – users are
given the lead in design in order to ensure
that the tools developed support their
needs and positions better [12, 13]. Finally,
many of these issues come to play in the
field of Information Systems Research
[14, 15]. Building upon these diverse back-
grounds, the ‘sociotechnical approach’ has
also found its way in medical informatics
[16-18]. The different traditions all bring
their own specific interests to the fore, and
importantly so: the manifold ways in which
the interrelation of ‘social’ and ‘technical’
aspects presents itself cannot be captured
in one simple model or theory.
Nature of Health Care Work
A few core common denominators are
shared by all these approaches. First of all,
sociotechnical approaches focus on the
nature of health care work, including
working with information technologies,as a
social process. Health care work involves
simultaneously dealing with sick individu-
als, with varying needs and problems, and
with other health care professionals and
organizational units. Standard organiza-
tional‘solutions’ never wholly fit a patient’s
individual problem; and where a standard
solution would be appropriate, chances are
that it is not available as such. As a
result, health care workers are constantly
‘matching’ one to the other, matching
‘problem’ to ‘solution’, constantly handling
contingencies that require ad hoc and
pragmatic responses [19].
Seeing medical work as the social,
real-life practice that it is transforms our
views of many of the constituents of health
care work – large and small. What it is to
place an order, for example, or to report a
result of a test. At first glance, it seems
obvious that a doctor conceives of an order,
writes it down, and that a nurse sub-
sequently executes it. Variations in who
gives and who executes the order are
possible – but the basic syntax remains the
same. Yet studies of ‘orders’ in real-life
medical work show a more complicated
picture. ‘Orders’ are often not simply
‘given’ by one person to another: they arise
out of a collective discussion, for example,
in which different doctors and nurses
participate [20]. Or they are written down
by a doctor who was subtly informed by an
experienced nurse about the ‘proper thing
to do’ [21]. Similarly, what counts as a
proper, high quality ‘result’ also depends
on the context: in acute situations, first
impressions of an X-ray can have to form
the basis for far reaching decisions, while in
other settings, the ‘standard’ X-ray quality
(resolution, detail in radiologist’s report)
may be far from sufficient [22]. What
is a ‘good’ or ‘high quality’ image, or a
‘proper response’ to a question is always
relative to the purpose for which the
result or response was elicited [23].
This same issue affects the coding of
clinical data. ‘Codes’ should not be con-
ceived as the standardized, universal labels
that stand for the‘essence’ of (a part of) the
medical consultation. In this view, ‘coded’
text is more scientific than ‘uncoded’ text,
and the way to ‘free’ medical information
from its‘paper prison’ lies in proper coding.
‘Coding’, however, should always also be
done only when a clear purpose is expli-
cated. If not, the coding becomes a source
of frustration to the clinicians [24], and
results in data aggregates of less than no
value [25]. In addition, the work of coding
should be more clearly recognized, and
health care professionals’ desire to‘localize
codes’ to their own daily working needs
should be properly supported rather than
seen as a ‘tainting’ of the original coding
exercise [26].
This detailed focus on the real-life,
‘messy’ reality of work-in-action aligns with
those who study cognition in practice. Such
studies show how what we traditionally
conceive as ‘individual’ thinking processes
are in fact heavily structured by the social
and material context in which these
‘thinking’ processes take place [27]. When
physicians handle patients, they use many
material cues to help them organize and
structure their work – from ‘reading’ the
status of the patient off the ‘thickness’ of
the record to ordering their records in
specific ways [28, 29]. Such practices are
not only crucial for the ongoing work itself:
they simultaneously (re-)sustain social
relations between professionals. In the
interactional handling of records, for exam-
ple,the building of mutual trust is as impor-
tant as the transferring of information [30].
With these examples, we immediately
touch upon how health care ICT should be
designed to fit the specific nature of health
care work – or of professional work more in
general. Many of the current Physician
Order Entry (POE) systems, for example,
are based upon the ‘standard’ image of
‘placing orders’. As a result, they cleanly
separate ‘order giving’ – conceived as an
individual activity – from ‘order receiving’
– conceived as the clear-cut reception of
‘the result’. Non-structured communica-
tion between ‘giver’ and ‘sender’ is poor-
ly supported, and the importance of ‘com-
pleteness’ of the data entered is stressed as
a good in and of itself [20, 31, 32]. From a
sociotechnical perspective, design is cru-
cially about finding the synergy between
the specific particularities of health
care work, and the informating properties
of ICT [33]. It is about designing interac-
tions not from the view of the technology,
but from the agents that work with that
technology, and the practices in which it
will become embedded [34].
Berg et al.
298
Methods Inf Med 4/2003
Nature of Technological
Innovation
In addition to this focus on the nature of
health care work, sociotechnical approach-
es also emphasize the fact that health
care practices are social settings like any
other: structured by hierarchies, rivalries,
institutional histories, and so forth. As any
technology, information technologies affect
the contexts in which they are introduced –
in many different ways, and more deeply
than is often expected [5,35].In subtle ways
(that may make the difference between
‘success’ and ‘failure’), new forms of com-
munication invariably affect the relations
between those communicating.This issue is,
for example, often painfully overlooked in
telemedicine projects. Introducing cameras
for first aid teams in emergency medicine
(to let a remote doctor overlook the
accident scene) invoked a whole series of
unexpected issues of control, responsibility,
whose interests take precedence, and
so forth [36, 37]. In ‘ordinary’ hospital
information systems or electronic records,
feelings of ‘surveillance’ and the issue of
who gets to see whose data can create great
organizational havoc [38].
As information technologies ascribe
novel ‘roles’ to the health care pro-
fessionals that work with them, they also
invariably affect the patient. This touches
upon many more issues than ‘patient
satisfaction’; it is, for example, about how
‘informed consent’ is made operational in
an electronic patient record [39]. Similarly,
the different attempts to regulate patient
information on the internet, to signal what
counts as ‘reliable’ and what does not,
touches upon fundamental issues such as
whether we see patients as independent
consumers or as potential prey for money-
hungry quacks – or as something again
wholly different [40].
These social ‘impacts’ invariably affect
the further development of the technology.
New authorization protocols are made in
order to deal with visibility issues [41],
new uses for technologies emerge [37], and
requirements for new versions of the
application are updated in order to further
align it to the organization's emerging
working patterns [42]. In addition, more
‘meso’ or ‘macro’ developments leave their
mark as well: ICT developments are
equally structured by institutional mergers,
national ICT politics, hypes in health care
policy, and so forth [43]. Technological
development,therefore,cannot be seen as a
merely ‘technical’, linear process. Actors
will seize upon or obstruct a specific devel-
opment depending on how they perceive it
to extend their interests [44, 45]. As an
extended process of negotiations, whose
course can never be fully predicted, the
‘technology’ and the practice in which it is
put to work transform each other – often in
unexpected ways [46].
Here as well,these insights can be drawn
upon to improve these technologies, and
the processes through which they are
developed. In part, the contingencies
structuring technological development can
be so overwhelming and multi-layered that
any attempt to ‘improve’ such a develop-
ment seems fatally flawed from the outset.
Indeed, one might become pessimistic
when one realizes that the introduction of
an EPR may be crucially affected by the
vendor's longevity, the financial status of
the health care organization (and, thus, by
national health politics), by the personality
of the project leader, by organizational
culture – to name just a few of the lesser
‘malleable’ aspects [43, 47].
Yet one need not become so pessimistic.
When one realizes how information
technologies impact the settings in which
they are put to work, it becomes relevant
to investigate whether the social ‘roles’
inscribed in the system are at all feasible
for that practice. Too often, health care
institutions buy applications developed in
another country, only to find out that the
other country’s patient handling routines,
billing practices, inter-professional rela-
tions and so forth are so thoroughly built
into the software that major reprogram-
ming is necessary [38].
Likewise, the process of developing the
technology is important. Sociotechnical
approaches favor a central role of the user
throughout the development process. Too
many databases have become ‘data grave-
yards’ because those who had to fill and
draw upon the databases were not taken
seriously enough during the information
system design [48].How to truly involve the
user, however, is not easy [41, 49]. There is
much rhetoric here – who would nowadays
argue that the user should not be involved?
Yet the reality of most design practices is
more often than not that 'users' are consult-
ed only a few times, in meetings whose set-
up mitigate against any real involvement of
users, or any real openness of the designers
[50]. Successful user involvement requires
stamina, a stubborn organizational focus
from day one on, and, most of all, a realiza-
tion that technology ‘implementation’ is
first and foremost a process of organiza-
tional change [42].
In addition, sociotechnical approaches
emphasize the need for an iterative, incre-
mental change process. At every new step,
the (often unpredictable) lessons learned
from the previous step should be properly
integrated and acted upon. The non-linear
nature of technology development should
not be ‘quenched’ with an overdose of
project management tools – it should
rather be embraced and‘nourished’,so that
the potential of organizational learning and
the chance of finding synergy is maximized
[51-53]. Rather than worrying about how
such a ‘messy’ design process will affect the
‘overall’ integration of the information
systems or the purity of the architecture,we
should realize that a ‘patchwork’ of only
partially integrated systems may in fact be
much more robust,much more flexible,and
much more ‘sensitive’ to the multiple
information needs of complex organiza-
tions [54, 55].
From Evaluating Failure to
Evaluating to Prevent Failure
This issue is full of accounts of information
system failure, or poor use of information
system functionalities.Failures are reputed-
ly underreported [56], and this special issue
balances the accounts somewhat. This
special issue of Methods of Information in
Medicine was not intended to deal with
system failures – nor did any of the contrib-
utors start out with the desire to study a
ICT in Health Care: Sociotechnical Approaches
299
Methods Inf Med 4/2003
‘failed system’.Then why so many partial or
complete failure cases? The main differ-
ence with other journal issues in medical
informatics is that the majority of authors
that contributed to this issue were research-
ers without a stake in the tools reported
upon. The only reason that there are so
many failures reported here, then, is prob-
ably because so many systems fail. Moreover,
the stories collected here illustrate why so
many systems fail. Not because of hard- or
software problems, or of fundamental limi-
tations to the technologies being used.
Rather, systems fail because they are build
upon the wrong assumptions [37, 48], they
incorporate problematic models of medical
work [38, 45], or they fail to see ‘implemen-
tation’ as organizational change [41,53,57].
One additional important reason for
system failure is the omission of evaluation
studies during system development. If
we want to optimize the opportunities for
organizational learning, we will have to
carefully monitor the reactions to the im-
plemented technology – the complaints,the
use rates, the horror stories, the shifting
inter-professional relationships. Only in
this way can the development process ‘stay
in tune’ with the technology's impact and
vice versa [58]. As this special issue illus-
trates, qualitative research methods are
often the method of choice for such ques-
tions; they can give us insight in the nature
of the changing sociotechnical relations,the
reasons of failure, and the particularities
of specific working routines [59].
Drawing upon these insights, we believe
we can increase our aims: to develop pa-
tient care information systems that not
only ‘not fail’, but that actually help to
restructure our traditional ways of ‘doing’
the primary care process.This might be the
largest challenge for the sociotechnical
approach: finding out just how to interre-
late the nature of health care work with
the characteristics of formal tools. So that
we can move from better understanding
why information systems failed to demon-
strate how to find synergy between health
care work and information technology [33].
Acknowledgments
The papers in this issue are a selection of papers
first presented at the conference ICT in Health
Care: Sociotechnical Approaches, held 6-7 Sep-
tember 2001, in Rotterdam. We thank Samantha
Adams, Barbara Blank, Marlies Hellendoorn,
Marleen de Mul and Brit Ross-Winthereik for
their work to make this conference happen.
References
1. Kaplan B. Addressing organizational issues
into the evaluation of medical systems. J Am
Med Inform Assoc 1997; 4: 94-101.
2. Lorenzi NM, Riley RT, Blyth AJC, Southon G,
Dixon BJ. Antecedents of the people and
organizational aspects of medical informatics,
review of the literature. J Am Med Inform
Assoc 1997; 4: 79-93.
3. Mumford E, Weir M. Computer systems in
work design: the ETHICS method. New York:
John Wiley; 1979.
4. Friedman A, Comford DS. Computer systems
development, history, organization and imple-
mentation. New York:Wiley; 1989.
5. Bijker WE, Law J. Shaping technology – build-
ing society, studies in sociotechnical Change.
Cambridge (MA): MIT Press; 1992.
6. Callon M, Law J. On the construction of socio-
technical networks, content and context revi-
sited. Knowledge and Society 1989; 8: 57-83.
7. Feldman SE, Roblin DW. Medical accidents in
hospital care: applications of failure analysis to
hospital quality appraisal. Jt Comm J Qual
Improv; 1997; 23: 567-80.
8. Perrow C. Normal accidents, living with high
risk technologies.NewYork:Basic Books;1984.
9. Randell R. Medicine and aviation, a review
of the comparison. Meth Inf Med 2003; 42:
433-6.
10. Schmidt K, Bannon L.Taking CSCW seriously,
supporting articulation work. Comp Supp
Coop Work 1992; 1: 7-40.
11. Bowker GC, Star SL, Turner W, Gasser L.
Social science, technical systems, and coopera-
tive work, beyond the great divide. Mahwah
(NJ): Lawrence Erlbaum; 1997.
12. Greenbaum J, Kyng M. Design at work: coop-
erative design for computer systems. Hillsdale
(NJ): Lawrence Erlbaum Associates; 1991.
13. Asaro PM. Transforming society by trans-
forming technology, the science and politics of
participatory design. Acc Man Inf Techn 1996;
10: 257-90.
14. Kling R, Scacchi W. The web of computing,
computer technology as social organization.
Advances in Computers 1982; 21: 1-90.
15. Baskerville R, Stage J, DeGross JI, editors.
Organizational and social perspectives on
information technology,IFIPTC8WG8.2 inter-
national working conference on the social and
organizational perspective on research and
practice in information technology, June 9-11,
2000, Aalborg, Denmark. Boston: Kluwer
Academic Publishers; 2000.
16. Berg M. Patient care information systems and
healthcare work, a sociotechnical approach. Int
J Med Inf 1999; 55: 87-101.
17. Kuhn KA, Giuse DA. From hospital informa-
tion systems to health information systems,
problems, challenges, perspectives. Meth Inf
Med 2001; 40: 275-87.
18. Aarts J, Peel V,Wright G. Organizational issues
in health informatics, a model approach. Int J
Med Inf 1998; 52: 235-42.
19. Berg M. Medical work and the computer-based
patient record, a sociological perspective. Meth
Inf Med 1998; 37: 294-301.
20. Gorman PN, Lavelle M,Ash JS. Order creation
and communication in health care. Meth Inf
Med 2003; 42: 376-83.
21. Hughes D. When nurse knows best. Some
aspects of nurse/doctor interaction in a casualty
department. Sociology of Health and Illness
1988; 10: 1-22.
22. Aanestad M, Edwin B, Mårvik R. Medical
image quality as a socio-technical phenome-
non. Meth Inf Med 2003; 42: 302-6.
23. Garfinkel H. Studies in ethnomethodology.
Englewood-Cliffs (NJ): Prentice-Hall; 1967.
24. De Lusignan S, Wells SE, Hague NJ, Thiru K.
Managers see the problems associated with
coding clinical data as a technical issue whilst
clinicians also see cultural barriers. Meth Inf
Med 2003; 42: 416-22.
25. van der Lei J. Use and abuse of computer-
stored medical records [editorial]. Meth Inf
Med 1991; 30: 79-80.
26. Winthereik BR.“We fill in our working under-
standing”: on codes, classifications and the
production of accurate data. Meth Inf Med
2003; 42: 489-96.
27. Hutchins E. Cognition in the wild. Cambridge
(MA): MIT Press; 1995.
28. Bång M, Timpka T. Cognitive tools in medical
teamwork, the spatial arrangement of patient
records. Meth Inf Med 2003; 42: 331-6.
29. Nygren E, Henriksson P. Reading the medical
record, analysis of physicians’ ways of reading
the medical record. Comput Methods Pro-
grams Biomed 1992; 39: 1-12.
30. Clarke K, Hartswood M, Procter R, Rounce-
field M, Slack R. Trusting the record. Meth Inf
Med 2003; 42: 345-52.
31. Ash JS, Gorman PN, Lavelle M, et al. Percep-
tions of physician order entry, results of a
cross-site qualitative Study.Meth Inf Med 2003;
42: 313-23.
32. Reddy M, Pratt W, Dourish P, Shabot MM.
Sociotechnical requirements analysis for clini-
cal systems. Meth Inf Med 2003; 42: 437-44.
33. Berg M. Search for Synergy: Interrelating
Medical Work and Patient Care Information
Systems. Meth Inf Med 2003; 42: 337-44.
34. Coiera E. Mediated interaction design. Int J
Med Inf, forthcoming.
35. Orlikowski WJ, Walsham G, Jones MR,
DeGross JI, editors. Information technology
and changes in organizational work, proceed-
ings of the IFIP WG8.2 working conference
on information technology and changes in
organizational work, December 1995. London:
Chapman & Hall; 1996.
Berg et al.
300
Methods Inf Med 4/2003
36. Dardelet B, Darcy S. Rescuing the emergency,
multiple expertise and IT in the emergency
field. Meth Inf Med 2003; 42: 360-5.
37. Sicotte C, Lehoux P. Teleconsultation, rejected
and emerging uses. Meth Inf Med 2003; 42:
451-7.
38. Jones MR. ”Computers can land people on
Mars, why can't they get them to work in a
hospital?” Implementation of an electronic
patient record system in a UK hospital. Meth
Inf Med 2003; 42: 410-5.
39. Van der Ploeg I.Positioning the patient:norma-
tive analysis of electronic patient records. Meth
Inf Med 2003; 42: 477-81.
40. Adams S, de Bont AA. Notions of reliability,
considering the importance of difference in
guiding patients to health care web sites. Meth
Inf Med 2003; 42: 307-12.
41. Faber M. User involvement in the design and
introduction of an electronic patient record,
a precarious balance. Meth Inf Med 2003; 42:
371-5.
42. Stricklin M-L. Point of care technology, a
sociotechnical approach to home health imple-
mentation. Meth Inf Med 2003; 42: 463-70.
43. Balka E. Getting the Big Picture: The macro-
politics of information system development
(and failure) in a Canadian hospital. Meth Inf
Med 2003; 42: 324-30.
44. Novek J. IT, gender, and professional practice,
or, why an automated drug distribution system
was sent back to the manufacturer. Sci Techn
Hum Val: 2002; 27: 379-403.
45. Timmons S. Resistance to computerised care
planning systems by qualified nurses working
in the UK NHS. Meth Inf Med 2003; 42: 471-6.
46. Latour B. Aramis, or the love of technology.
Cambridge (MA): Harvard University Press;
1996.
47. Ellingsen G, Monteiro E. Big is Beautiful:
electronic patient records in large Norwegian
hospitals 1980s-2001. Meth Inf Med 2003; 42:
366-70.
48. Hyysalo S, Lehenkari J. An activity-theoretical
method for studying user participation in IS
design. Meth Inf Med 2003; 42: 398-404.
49. Hartswood M, Procter R, Rouchy P, Rounce-
field M, Slack R, Voss A. Working IT out in
medical practice, IT systems design and
development as co-realization. Meth Inf Med
2003; 42: 392-7.
50. Markussen R. Dilemmas in Cooperative
Design. In: Trigg R, Anderson SI, Dykstra-
Erickson E, editors. PDC'94, Proceedings of
the Participatory Design Conference. Palo
Alto (CA): Computer Professionals for Social
Responsibility; 1994.
51. Berg M. Implementing Information Systems
in Health Care Organizations: Myths and
Challenges. Int J Med Inf 2001; 64: 143-56.
52. Ciborra CU, Braa K, Cordella A, et al. From
control to drift, the dynamics of corporate
information infrastructures. Oxford: Oxford
University Press; 2000.
53. Hanseth O, Aanestad M. Design as bootstrap-
ping, on the evolution of ICT solutions in
health care. Meth Inf Med 2003; 42: 384-91.
54. Monteiro E. Integrating health information
systems: a critical approach. Meth Inf Med
2003; 42: 428-32.
55. Ellingsen G, Monteiro E. A patchwork planet.
Integration and cooperation in hospitals.Comp
Supp Coop Work.
56. Sauer C.Why Information Systems Fail:A Case
Study Approach. Henley-on-Thames: Alfred
Waller; 1993.
57. van der Meijden MJ, Solen I, Hasman A,
J.Troost, Tange HJ. Two patient care informa-
tion systems in the same hospital: beyond tech-
nical aspects. Meth Inf Med 2003; 42: 423-7.
58. Stoop A, Berg M. Integrating quantitative and
qualitative methods in patient care information
system evaluation, guidance for the organiza-
tional decision maker. Meth Inf Med 2003; 42:
458-62.
59. Kaplan B. Organizational evaluation of
medical information resources. In: Friedman
CP, Wyatt JC, editors: Evaluation methods
in medical informatics. New York: Springer-
Verlag 1997; pp. 255-80.
Correspondence to:
Marc Berg, MA, MD, PhD
Institute of Health Policy and Management
Erasmus University Medical Center
P.O. Box. 1738
3000 DR Rotterdam
The Netherlands
E-mail: m.berg@bmg.eur.nl
ICT in Health Care: Sociotechnical Approaches
301
Methods Inf Med 4/2003
View publication stats

More Related Content

Similar to Marufs ICT Care.pdf

Implementing The Affordable Care Act Essay
Implementing The Affordable Care Act EssayImplementing The Affordable Care Act Essay
Implementing The Affordable Care Act EssayMichelle Love
 
G0312036044
G0312036044G0312036044
G0312036044inventy
 
Act1kylie.doc
Act1kylie.docAct1kylie.doc
Act1kylie.docshaunky
 
EMR Design as Socio-Technical Mosaic: A Multi-Lens Approach to Emergency Depa...
EMR Design as Socio-Technical Mosaic: A Multi-Lens Approach to Emergency Depa...EMR Design as Socio-Technical Mosaic: A Multi-Lens Approach to Emergency Depa...
EMR Design as Socio-Technical Mosaic: A Multi-Lens Approach to Emergency Depa...juliahaines
 
Health Insurance Essay.pdf
Health Insurance Essay.pdfHealth Insurance Essay.pdf
Health Insurance Essay.pdfJennifer Triepke
 
TOPIC 2AnthonyThe movie that I watched for this week, Cons.docx
TOPIC 2AnthonyThe movie that I watched for this week, Cons.docxTOPIC 2AnthonyThe movie that I watched for this week, Cons.docx
TOPIC 2AnthonyThe movie that I watched for this week, Cons.docxturveycharlyn
 
422 3 smart_e-health_care_using_iot_and_machine_learning
422 3 smart_e-health_care_using_iot_and_machine_learning422 3 smart_e-health_care_using_iot_and_machine_learning
422 3 smart_e-health_care_using_iot_and_machine_learningaissmsblogs
 
IntroToCybersecurityEthics.pdf
IntroToCybersecurityEthics.pdfIntroToCybersecurityEthics.pdf
IntroToCybersecurityEthics.pdfJevieApatan
 
Understanding Physicians' Adoption of Health Clouds
Understanding Physicians' Adoption of Health CloudsUnderstanding Physicians' Adoption of Health Clouds
Understanding Physicians' Adoption of Health Cloudscsandit
 
Understanding physicians’
Understanding physicians’Understanding physicians’
Understanding physicians’csandit
 
Social Media Datasets for Analysis and Modeling Drug Usage
Social Media Datasets for Analysis and Modeling Drug UsageSocial Media Datasets for Analysis and Modeling Drug Usage
Social Media Datasets for Analysis and Modeling Drug Usageijtsrd
 
Understanding hmis implementation in a developing country ministry of health ...
Understanding hmis implementation in a developing country ministry of health ...Understanding hmis implementation in a developing country ministry of health ...
Understanding hmis implementation in a developing country ministry of health ...Ime Asangansi, MD, PhD
 
APPLICATIONS OF HUMAN-COMPUTER INTERACTION IN MANAGEMENT INFORMATION SYSTEMS
APPLICATIONS OF HUMAN-COMPUTER INTERACTION IN MANAGEMENT INFORMATION SYSTEMSAPPLICATIONS OF HUMAN-COMPUTER INTERACTION IN MANAGEMENT INFORMATION SYSTEMS
APPLICATIONS OF HUMAN-COMPUTER INTERACTION IN MANAGEMENT INFORMATION SYSTEMSSteven Wallach
 
Debate on Artificial Intelligence in Hospital Human Resources Management, in ...
Debate on Artificial Intelligence in Hospital Human Resources Management, in ...Debate on Artificial Intelligence in Hospital Human Resources Management, in ...
Debate on Artificial Intelligence in Hospital Human Resources Management, in ...AJHSSR Journal
 
Knowledge management process model for healthcare organization
Knowledge management process model for healthcare organizationKnowledge management process model for healthcare organization
Knowledge management process model for healthcare organizationsaniapassion
 
Walden UniversityMaster of Science in NursingWeek 2 Journa.docx
Walden UniversityMaster of Science in NursingWeek 2 Journa.docxWalden UniversityMaster of Science in NursingWeek 2 Journa.docx
Walden UniversityMaster of Science in NursingWeek 2 Journa.docxcelenarouzie
 
MGMT3001 Research For Business And Tourism.docx
MGMT3001 Research For Business And Tourism.docxMGMT3001 Research For Business And Tourism.docx
MGMT3001 Research For Business And Tourism.docxstirlingvwriters
 
IntroductionHealthcare Information Systems are defined as Comp.docx
IntroductionHealthcare Information Systems are defined as Comp.docxIntroductionHealthcare Information Systems are defined as Comp.docx
IntroductionHealthcare Information Systems are defined as Comp.docxvrickens
 
Please respond to each of the Discussions with 3 APA references no o.docx
Please respond to each of the Discussions with 3 APA references no o.docxPlease respond to each of the Discussions with 3 APA references no o.docx
Please respond to each of the Discussions with 3 APA references no o.docxLacieKlineeb
 
Identifying Structures in Social Conversations in NSCLC Patients through the ...
Identifying Structures in Social Conversations in NSCLC Patients through the ...Identifying Structures in Social Conversations in NSCLC Patients through the ...
Identifying Structures in Social Conversations in NSCLC Patients through the ...IJERA Editor
 

Similar to Marufs ICT Care.pdf (20)

Implementing The Affordable Care Act Essay
Implementing The Affordable Care Act EssayImplementing The Affordable Care Act Essay
Implementing The Affordable Care Act Essay
 
G0312036044
G0312036044G0312036044
G0312036044
 
Act1kylie.doc
Act1kylie.docAct1kylie.doc
Act1kylie.doc
 
EMR Design as Socio-Technical Mosaic: A Multi-Lens Approach to Emergency Depa...
EMR Design as Socio-Technical Mosaic: A Multi-Lens Approach to Emergency Depa...EMR Design as Socio-Technical Mosaic: A Multi-Lens Approach to Emergency Depa...
EMR Design as Socio-Technical Mosaic: A Multi-Lens Approach to Emergency Depa...
 
Health Insurance Essay.pdf
Health Insurance Essay.pdfHealth Insurance Essay.pdf
Health Insurance Essay.pdf
 
TOPIC 2AnthonyThe movie that I watched for this week, Cons.docx
TOPIC 2AnthonyThe movie that I watched for this week, Cons.docxTOPIC 2AnthonyThe movie that I watched for this week, Cons.docx
TOPIC 2AnthonyThe movie that I watched for this week, Cons.docx
 
422 3 smart_e-health_care_using_iot_and_machine_learning
422 3 smart_e-health_care_using_iot_and_machine_learning422 3 smart_e-health_care_using_iot_and_machine_learning
422 3 smart_e-health_care_using_iot_and_machine_learning
 
IntroToCybersecurityEthics.pdf
IntroToCybersecurityEthics.pdfIntroToCybersecurityEthics.pdf
IntroToCybersecurityEthics.pdf
 
Understanding Physicians' Adoption of Health Clouds
Understanding Physicians' Adoption of Health CloudsUnderstanding Physicians' Adoption of Health Clouds
Understanding Physicians' Adoption of Health Clouds
 
Understanding physicians’
Understanding physicians’Understanding physicians’
Understanding physicians’
 
Social Media Datasets for Analysis and Modeling Drug Usage
Social Media Datasets for Analysis and Modeling Drug UsageSocial Media Datasets for Analysis and Modeling Drug Usage
Social Media Datasets for Analysis and Modeling Drug Usage
 
Understanding hmis implementation in a developing country ministry of health ...
Understanding hmis implementation in a developing country ministry of health ...Understanding hmis implementation in a developing country ministry of health ...
Understanding hmis implementation in a developing country ministry of health ...
 
APPLICATIONS OF HUMAN-COMPUTER INTERACTION IN MANAGEMENT INFORMATION SYSTEMS
APPLICATIONS OF HUMAN-COMPUTER INTERACTION IN MANAGEMENT INFORMATION SYSTEMSAPPLICATIONS OF HUMAN-COMPUTER INTERACTION IN MANAGEMENT INFORMATION SYSTEMS
APPLICATIONS OF HUMAN-COMPUTER INTERACTION IN MANAGEMENT INFORMATION SYSTEMS
 
Debate on Artificial Intelligence in Hospital Human Resources Management, in ...
Debate on Artificial Intelligence in Hospital Human Resources Management, in ...Debate on Artificial Intelligence in Hospital Human Resources Management, in ...
Debate on Artificial Intelligence in Hospital Human Resources Management, in ...
 
Knowledge management process model for healthcare organization
Knowledge management process model for healthcare organizationKnowledge management process model for healthcare organization
Knowledge management process model for healthcare organization
 
Walden UniversityMaster of Science in NursingWeek 2 Journa.docx
Walden UniversityMaster of Science in NursingWeek 2 Journa.docxWalden UniversityMaster of Science in NursingWeek 2 Journa.docx
Walden UniversityMaster of Science in NursingWeek 2 Journa.docx
 
MGMT3001 Research For Business And Tourism.docx
MGMT3001 Research For Business And Tourism.docxMGMT3001 Research For Business And Tourism.docx
MGMT3001 Research For Business And Tourism.docx
 
IntroductionHealthcare Information Systems are defined as Comp.docx
IntroductionHealthcare Information Systems are defined as Comp.docxIntroductionHealthcare Information Systems are defined as Comp.docx
IntroductionHealthcare Information Systems are defined as Comp.docx
 
Please respond to each of the Discussions with 3 APA references no o.docx
Please respond to each of the Discussions with 3 APA references no o.docxPlease respond to each of the Discussions with 3 APA references no o.docx
Please respond to each of the Discussions with 3 APA references no o.docx
 
Identifying Structures in Social Conversations in NSCLC Patients through the ...
Identifying Structures in Social Conversations in NSCLC Patients through the ...Identifying Structures in Social Conversations in NSCLC Patients through the ...
Identifying Structures in Social Conversations in NSCLC Patients through the ...
 

Recently uploaded

Call Girls in Dwarka Mor Delhi Contact Us 9654467111
Call Girls in Dwarka Mor Delhi Contact Us 9654467111Call Girls in Dwarka Mor Delhi Contact Us 9654467111
Call Girls in Dwarka Mor Delhi Contact Us 9654467111Sapana Sha
 
Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)eniolaolutunde
 
Sanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdfSanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdfsanyamsingh5019
 
mini mental status format.docx
mini    mental       status     format.docxmini    mental       status     format.docx
mini mental status format.docxPoojaSen20
 
Accessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impactAccessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impactdawncurless
 
Crayon Activity Handout For the Crayon A
Crayon Activity Handout For the Crayon ACrayon Activity Handout For the Crayon A
Crayon Activity Handout For the Crayon AUnboundStockton
 
Separation of Lanthanides/ Lanthanides and Actinides
Separation of Lanthanides/ Lanthanides and ActinidesSeparation of Lanthanides/ Lanthanides and Actinides
Separation of Lanthanides/ Lanthanides and ActinidesFatimaKhan178732
 
CARE OF CHILD IN INCUBATOR..........pptx
CARE OF CHILD IN INCUBATOR..........pptxCARE OF CHILD IN INCUBATOR..........pptx
CARE OF CHILD IN INCUBATOR..........pptxGaneshChakor2
 
A Critique of the Proposed National Education Policy Reform
A Critique of the Proposed National Education Policy ReformA Critique of the Proposed National Education Policy Reform
A Critique of the Proposed National Education Policy ReformChameera Dedduwage
 
PSYCHIATRIC History collection FORMAT.pptx
PSYCHIATRIC   History collection FORMAT.pptxPSYCHIATRIC   History collection FORMAT.pptx
PSYCHIATRIC History collection FORMAT.pptxPoojaSen20
 
How to Make a Pirate ship Primary Education.pptx
How to Make a Pirate ship Primary Education.pptxHow to Make a Pirate ship Primary Education.pptx
How to Make a Pirate ship Primary Education.pptxmanuelaromero2013
 
Micromeritics - Fundamental and Derived Properties of Powders
Micromeritics - Fundamental and Derived Properties of PowdersMicromeritics - Fundamental and Derived Properties of Powders
Micromeritics - Fundamental and Derived Properties of PowdersChitralekhaTherkar
 
microwave assisted reaction. General introduction
microwave assisted reaction. General introductionmicrowave assisted reaction. General introduction
microwave assisted reaction. General introductionMaksud Ahmed
 
The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13Steve Thomason
 
Arihant handbook biology for class 11 .pdf
Arihant handbook biology for class 11 .pdfArihant handbook biology for class 11 .pdf
Arihant handbook biology for class 11 .pdfchloefrazer622
 
The basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptxThe basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptxheathfieldcps1
 
APM Welcome, APM North West Network Conference, Synergies Across Sectors
APM Welcome, APM North West Network Conference, Synergies Across SectorsAPM Welcome, APM North West Network Conference, Synergies Across Sectors
APM Welcome, APM North West Network Conference, Synergies Across SectorsAssociation for Project Management
 
Mastering the Unannounced Regulatory Inspection
Mastering the Unannounced Regulatory InspectionMastering the Unannounced Regulatory Inspection
Mastering the Unannounced Regulatory InspectionSafetyChain Software
 

Recently uploaded (20)

Call Girls in Dwarka Mor Delhi Contact Us 9654467111
Call Girls in Dwarka Mor Delhi Contact Us 9654467111Call Girls in Dwarka Mor Delhi Contact Us 9654467111
Call Girls in Dwarka Mor Delhi Contact Us 9654467111
 
Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)
 
Model Call Girl in Bikash Puri Delhi reach out to us at 🔝9953056974🔝
Model Call Girl in Bikash Puri  Delhi reach out to us at 🔝9953056974🔝Model Call Girl in Bikash Puri  Delhi reach out to us at 🔝9953056974🔝
Model Call Girl in Bikash Puri Delhi reach out to us at 🔝9953056974🔝
 
Sanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdfSanyam Choudhary Chemistry practical.pdf
Sanyam Choudhary Chemistry practical.pdf
 
mini mental status format.docx
mini    mental       status     format.docxmini    mental       status     format.docx
mini mental status format.docx
 
Accessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impactAccessible design: Minimum effort, maximum impact
Accessible design: Minimum effort, maximum impact
 
Crayon Activity Handout For the Crayon A
Crayon Activity Handout For the Crayon ACrayon Activity Handout For the Crayon A
Crayon Activity Handout For the Crayon A
 
Separation of Lanthanides/ Lanthanides and Actinides
Separation of Lanthanides/ Lanthanides and ActinidesSeparation of Lanthanides/ Lanthanides and Actinides
Separation of Lanthanides/ Lanthanides and Actinides
 
CARE OF CHILD IN INCUBATOR..........pptx
CARE OF CHILD IN INCUBATOR..........pptxCARE OF CHILD IN INCUBATOR..........pptx
CARE OF CHILD IN INCUBATOR..........pptx
 
A Critique of the Proposed National Education Policy Reform
A Critique of the Proposed National Education Policy ReformA Critique of the Proposed National Education Policy Reform
A Critique of the Proposed National Education Policy Reform
 
TataKelola dan KamSiber Kecerdasan Buatan v022.pdf
TataKelola dan KamSiber Kecerdasan Buatan v022.pdfTataKelola dan KamSiber Kecerdasan Buatan v022.pdf
TataKelola dan KamSiber Kecerdasan Buatan v022.pdf
 
PSYCHIATRIC History collection FORMAT.pptx
PSYCHIATRIC   History collection FORMAT.pptxPSYCHIATRIC   History collection FORMAT.pptx
PSYCHIATRIC History collection FORMAT.pptx
 
How to Make a Pirate ship Primary Education.pptx
How to Make a Pirate ship Primary Education.pptxHow to Make a Pirate ship Primary Education.pptx
How to Make a Pirate ship Primary Education.pptx
 
Micromeritics - Fundamental and Derived Properties of Powders
Micromeritics - Fundamental and Derived Properties of PowdersMicromeritics - Fundamental and Derived Properties of Powders
Micromeritics - Fundamental and Derived Properties of Powders
 
microwave assisted reaction. General introduction
microwave assisted reaction. General introductionmicrowave assisted reaction. General introduction
microwave assisted reaction. General introduction
 
The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13The Most Excellent Way | 1 Corinthians 13
The Most Excellent Way | 1 Corinthians 13
 
Arihant handbook biology for class 11 .pdf
Arihant handbook biology for class 11 .pdfArihant handbook biology for class 11 .pdf
Arihant handbook biology for class 11 .pdf
 
The basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptxThe basics of sentences session 2pptx copy.pptx
The basics of sentences session 2pptx copy.pptx
 
APM Welcome, APM North West Network Conference, Synergies Across Sectors
APM Welcome, APM North West Network Conference, Synergies Across SectorsAPM Welcome, APM North West Network Conference, Synergies Across Sectors
APM Welcome, APM North West Network Conference, Synergies Across Sectors
 
Mastering the Unannounced Regulatory Inspection
Mastering the Unannounced Regulatory InspectionMastering the Unannounced Regulatory Inspection
Mastering the Unannounced Regulatory Inspection
 

Marufs ICT Care.pdf

  • 1. See discussions, stats, and author profiles for this publication at: https://www.researchgate.net/publication/9058067 ICT in Health Care: Sociotechnical Approaches Article in Methods of Information in Medicine · February 2003 DOI: 10.1267/METH03040297 · Source: PubMed CITATIONS 242 READS 4,866 3 authors, including: Some of the authors of this publication are also working on these related projects: Health Service Management Unit View project Nursing Informatics Research View project Jos Aarts Erasmus University Rotterdam 100 PUBLICATIONS 3,462 CITATIONS SEE PROFILE All content following this page was uploaded by Jos Aarts on 22 March 2016. The user has requested enhancement of the downloaded file.
  • 2. © 2003 Schattauer GmbH Methods Inf Med 4/2003 297 ICT in Health Care: Sociotechnical Approaches M. Berg1 , J. Aarts1 , J. van der Lei2 1 Institute of Health Policy and Management, Erasmus University Medical Center, Rotterdam, The Netherlands 2 Institute of Medical Informatics, Erasmus University Medical Center, Rotterdam, The Netherlands What Are Sociotechnical Approaches? Within medical informatics, and within the broader fields of informatics and informa- tion systems, the importance of incorpo- rating insights from the social sciences is increasingly recognized [1, 2]. As informa- tion systems require interaction with people and thereby inevitably affect them, understanding information systems re- quires a focus on the interrelation between technology and its social environment. ‘Sociotechnical approaches’ aim to do just this: increase our understanding of how information systems or novel electronic communication techniques are developed, introduced and become a part of social practices.With this aim comes a concurrent ambition to improve these systems. When insights from the social sciences can help us better understand these phenomena, after all, they may also help us to make better systems – or to make systems function better. There is no such thing as ‘the’ sociotech- nical approach. The term has several roots. Within information systems design, Mumford and co-workers introduced a ‘sociotechnical approach’ some thirty years ago. Their specific aim was to ensure that developments in Information and Commu- nication Technology (ICT) would go hand in hand with a central focus on users’ skills, job satisfaction, and good working rela- tionships. The ‘social’ aspects of system development, in other words, had to be balanced with the ‘technical’ aspects [3, 4]. Independently, researchers in the field of science and technology studies recognized how in any in-depth study of the func- tioning or development of a ‘technology’, ‘social aspects’ abounded – and vice versa. To understand the successes or failures in Summary The importance of the social sciences for medical infor- matics is increasingly recognized. As ICT requires inter- action with people and thereby inevitably affects them, understanding ICT requires a focus on the inter- relation between technology and its social environ- ment. Sociotechnical approaches increase our under- standing of how ICT applications are developed, intro- duced and become a part of social practices. Socio- technical approaches share several starting points: 1) they see health care work as a social, ‘real life’ phenomenon, which may seem ‘messy’ at first, but which is guided by a practical rationality that can only be overlooked at a high price (i.e. failed systems). 2) They see technological innovation as a social process, in which organizations are deeply affected. 3) Through in-depth, formative evaluation, they can help improve system design and implementation. Methods Inf Med 2003; 42: 297–301 Editorial
  • 3. the history of bicycle design, for example, one had to include diverse issues such as gender, 19th century culture, or industry strategies. Similarly, to understand the development of 20th century towns one cannot overlook how the impact of tech- nologies such as the car resulted in a ‘spreading out’ of cities over new geograph- ical spaces. To highlight this intertwine- ment, they also coined the term ‘sociotech- nical’ [5, 6]. A similar understanding of the interdependency of ‘social’ and ‘technical’ elements is reflected in the use of the term ‘sociotechnical systems’ by authors investi- gating errors in ‘high risk’ environments such as airplanes or hospitals [7-9]. ‘Sociotechnical’ analyses also originate from fields such as Computer Supported Cooperative Work, where social scientists and computer scientists cooperate in order to make tools to support group decision making, collaborative writing, virtual meetings, and so forth [10, 11]. Or from Participatory Design, where – quite similar to Mumford’s design principles – users are given the lead in design in order to ensure that the tools developed support their needs and positions better [12, 13]. Finally, many of these issues come to play in the field of Information Systems Research [14, 15]. Building upon these diverse back- grounds, the ‘sociotechnical approach’ has also found its way in medical informatics [16-18]. The different traditions all bring their own specific interests to the fore, and importantly so: the manifold ways in which the interrelation of ‘social’ and ‘technical’ aspects presents itself cannot be captured in one simple model or theory. Nature of Health Care Work A few core common denominators are shared by all these approaches. First of all, sociotechnical approaches focus on the nature of health care work, including working with information technologies,as a social process. Health care work involves simultaneously dealing with sick individu- als, with varying needs and problems, and with other health care professionals and organizational units. Standard organiza- tional‘solutions’ never wholly fit a patient’s individual problem; and where a standard solution would be appropriate, chances are that it is not available as such. As a result, health care workers are constantly ‘matching’ one to the other, matching ‘problem’ to ‘solution’, constantly handling contingencies that require ad hoc and pragmatic responses [19]. Seeing medical work as the social, real-life practice that it is transforms our views of many of the constituents of health care work – large and small. What it is to place an order, for example, or to report a result of a test. At first glance, it seems obvious that a doctor conceives of an order, writes it down, and that a nurse sub- sequently executes it. Variations in who gives and who executes the order are possible – but the basic syntax remains the same. Yet studies of ‘orders’ in real-life medical work show a more complicated picture. ‘Orders’ are often not simply ‘given’ by one person to another: they arise out of a collective discussion, for example, in which different doctors and nurses participate [20]. Or they are written down by a doctor who was subtly informed by an experienced nurse about the ‘proper thing to do’ [21]. Similarly, what counts as a proper, high quality ‘result’ also depends on the context: in acute situations, first impressions of an X-ray can have to form the basis for far reaching decisions, while in other settings, the ‘standard’ X-ray quality (resolution, detail in radiologist’s report) may be far from sufficient [22]. What is a ‘good’ or ‘high quality’ image, or a ‘proper response’ to a question is always relative to the purpose for which the result or response was elicited [23]. This same issue affects the coding of clinical data. ‘Codes’ should not be con- ceived as the standardized, universal labels that stand for the‘essence’ of (a part of) the medical consultation. In this view, ‘coded’ text is more scientific than ‘uncoded’ text, and the way to ‘free’ medical information from its‘paper prison’ lies in proper coding. ‘Coding’, however, should always also be done only when a clear purpose is expli- cated. If not, the coding becomes a source of frustration to the clinicians [24], and results in data aggregates of less than no value [25]. In addition, the work of coding should be more clearly recognized, and health care professionals’ desire to‘localize codes’ to their own daily working needs should be properly supported rather than seen as a ‘tainting’ of the original coding exercise [26]. This detailed focus on the real-life, ‘messy’ reality of work-in-action aligns with those who study cognition in practice. Such studies show how what we traditionally conceive as ‘individual’ thinking processes are in fact heavily structured by the social and material context in which these ‘thinking’ processes take place [27]. When physicians handle patients, they use many material cues to help them organize and structure their work – from ‘reading’ the status of the patient off the ‘thickness’ of the record to ordering their records in specific ways [28, 29]. Such practices are not only crucial for the ongoing work itself: they simultaneously (re-)sustain social relations between professionals. In the interactional handling of records, for exam- ple,the building of mutual trust is as impor- tant as the transferring of information [30]. With these examples, we immediately touch upon how health care ICT should be designed to fit the specific nature of health care work – or of professional work more in general. Many of the current Physician Order Entry (POE) systems, for example, are based upon the ‘standard’ image of ‘placing orders’. As a result, they cleanly separate ‘order giving’ – conceived as an individual activity – from ‘order receiving’ – conceived as the clear-cut reception of ‘the result’. Non-structured communica- tion between ‘giver’ and ‘sender’ is poor- ly supported, and the importance of ‘com- pleteness’ of the data entered is stressed as a good in and of itself [20, 31, 32]. From a sociotechnical perspective, design is cru- cially about finding the synergy between the specific particularities of health care work, and the informating properties of ICT [33]. It is about designing interac- tions not from the view of the technology, but from the agents that work with that technology, and the practices in which it will become embedded [34]. Berg et al. 298 Methods Inf Med 4/2003
  • 4. Nature of Technological Innovation In addition to this focus on the nature of health care work, sociotechnical approach- es also emphasize the fact that health care practices are social settings like any other: structured by hierarchies, rivalries, institutional histories, and so forth. As any technology, information technologies affect the contexts in which they are introduced – in many different ways, and more deeply than is often expected [5,35].In subtle ways (that may make the difference between ‘success’ and ‘failure’), new forms of com- munication invariably affect the relations between those communicating.This issue is, for example, often painfully overlooked in telemedicine projects. Introducing cameras for first aid teams in emergency medicine (to let a remote doctor overlook the accident scene) invoked a whole series of unexpected issues of control, responsibility, whose interests take precedence, and so forth [36, 37]. In ‘ordinary’ hospital information systems or electronic records, feelings of ‘surveillance’ and the issue of who gets to see whose data can create great organizational havoc [38]. As information technologies ascribe novel ‘roles’ to the health care pro- fessionals that work with them, they also invariably affect the patient. This touches upon many more issues than ‘patient satisfaction’; it is, for example, about how ‘informed consent’ is made operational in an electronic patient record [39]. Similarly, the different attempts to regulate patient information on the internet, to signal what counts as ‘reliable’ and what does not, touches upon fundamental issues such as whether we see patients as independent consumers or as potential prey for money- hungry quacks – or as something again wholly different [40]. These social ‘impacts’ invariably affect the further development of the technology. New authorization protocols are made in order to deal with visibility issues [41], new uses for technologies emerge [37], and requirements for new versions of the application are updated in order to further align it to the organization's emerging working patterns [42]. In addition, more ‘meso’ or ‘macro’ developments leave their mark as well: ICT developments are equally structured by institutional mergers, national ICT politics, hypes in health care policy, and so forth [43]. Technological development,therefore,cannot be seen as a merely ‘technical’, linear process. Actors will seize upon or obstruct a specific devel- opment depending on how they perceive it to extend their interests [44, 45]. As an extended process of negotiations, whose course can never be fully predicted, the ‘technology’ and the practice in which it is put to work transform each other – often in unexpected ways [46]. Here as well,these insights can be drawn upon to improve these technologies, and the processes through which they are developed. In part, the contingencies structuring technological development can be so overwhelming and multi-layered that any attempt to ‘improve’ such a develop- ment seems fatally flawed from the outset. Indeed, one might become pessimistic when one realizes that the introduction of an EPR may be crucially affected by the vendor's longevity, the financial status of the health care organization (and, thus, by national health politics), by the personality of the project leader, by organizational culture – to name just a few of the lesser ‘malleable’ aspects [43, 47]. Yet one need not become so pessimistic. When one realizes how information technologies impact the settings in which they are put to work, it becomes relevant to investigate whether the social ‘roles’ inscribed in the system are at all feasible for that practice. Too often, health care institutions buy applications developed in another country, only to find out that the other country’s patient handling routines, billing practices, inter-professional rela- tions and so forth are so thoroughly built into the software that major reprogram- ming is necessary [38]. Likewise, the process of developing the technology is important. Sociotechnical approaches favor a central role of the user throughout the development process. Too many databases have become ‘data grave- yards’ because those who had to fill and draw upon the databases were not taken seriously enough during the information system design [48].How to truly involve the user, however, is not easy [41, 49]. There is much rhetoric here – who would nowadays argue that the user should not be involved? Yet the reality of most design practices is more often than not that 'users' are consult- ed only a few times, in meetings whose set- up mitigate against any real involvement of users, or any real openness of the designers [50]. Successful user involvement requires stamina, a stubborn organizational focus from day one on, and, most of all, a realiza- tion that technology ‘implementation’ is first and foremost a process of organiza- tional change [42]. In addition, sociotechnical approaches emphasize the need for an iterative, incre- mental change process. At every new step, the (often unpredictable) lessons learned from the previous step should be properly integrated and acted upon. The non-linear nature of technology development should not be ‘quenched’ with an overdose of project management tools – it should rather be embraced and‘nourished’,so that the potential of organizational learning and the chance of finding synergy is maximized [51-53]. Rather than worrying about how such a ‘messy’ design process will affect the ‘overall’ integration of the information systems or the purity of the architecture,we should realize that a ‘patchwork’ of only partially integrated systems may in fact be much more robust,much more flexible,and much more ‘sensitive’ to the multiple information needs of complex organiza- tions [54, 55]. From Evaluating Failure to Evaluating to Prevent Failure This issue is full of accounts of information system failure, or poor use of information system functionalities.Failures are reputed- ly underreported [56], and this special issue balances the accounts somewhat. This special issue of Methods of Information in Medicine was not intended to deal with system failures – nor did any of the contrib- utors start out with the desire to study a ICT in Health Care: Sociotechnical Approaches 299 Methods Inf Med 4/2003
  • 5. ‘failed system’.Then why so many partial or complete failure cases? The main differ- ence with other journal issues in medical informatics is that the majority of authors that contributed to this issue were research- ers without a stake in the tools reported upon. The only reason that there are so many failures reported here, then, is prob- ably because so many systems fail. Moreover, the stories collected here illustrate why so many systems fail. Not because of hard- or software problems, or of fundamental limi- tations to the technologies being used. Rather, systems fail because they are build upon the wrong assumptions [37, 48], they incorporate problematic models of medical work [38, 45], or they fail to see ‘implemen- tation’ as organizational change [41,53,57]. One additional important reason for system failure is the omission of evaluation studies during system development. If we want to optimize the opportunities for organizational learning, we will have to carefully monitor the reactions to the im- plemented technology – the complaints,the use rates, the horror stories, the shifting inter-professional relationships. Only in this way can the development process ‘stay in tune’ with the technology's impact and vice versa [58]. As this special issue illus- trates, qualitative research methods are often the method of choice for such ques- tions; they can give us insight in the nature of the changing sociotechnical relations,the reasons of failure, and the particularities of specific working routines [59]. Drawing upon these insights, we believe we can increase our aims: to develop pa- tient care information systems that not only ‘not fail’, but that actually help to restructure our traditional ways of ‘doing’ the primary care process.This might be the largest challenge for the sociotechnical approach: finding out just how to interre- late the nature of health care work with the characteristics of formal tools. So that we can move from better understanding why information systems failed to demon- strate how to find synergy between health care work and information technology [33]. Acknowledgments The papers in this issue are a selection of papers first presented at the conference ICT in Health Care: Sociotechnical Approaches, held 6-7 Sep- tember 2001, in Rotterdam. We thank Samantha Adams, Barbara Blank, Marlies Hellendoorn, Marleen de Mul and Brit Ross-Winthereik for their work to make this conference happen. References 1. Kaplan B. Addressing organizational issues into the evaluation of medical systems. J Am Med Inform Assoc 1997; 4: 94-101. 2. Lorenzi NM, Riley RT, Blyth AJC, Southon G, Dixon BJ. Antecedents of the people and organizational aspects of medical informatics, review of the literature. J Am Med Inform Assoc 1997; 4: 79-93. 3. Mumford E, Weir M. Computer systems in work design: the ETHICS method. New York: John Wiley; 1979. 4. Friedman A, Comford DS. Computer systems development, history, organization and imple- mentation. New York:Wiley; 1989. 5. Bijker WE, Law J. Shaping technology – build- ing society, studies in sociotechnical Change. Cambridge (MA): MIT Press; 1992. 6. Callon M, Law J. On the construction of socio- technical networks, content and context revi- sited. Knowledge and Society 1989; 8: 57-83. 7. Feldman SE, Roblin DW. Medical accidents in hospital care: applications of failure analysis to hospital quality appraisal. Jt Comm J Qual Improv; 1997; 23: 567-80. 8. Perrow C. Normal accidents, living with high risk technologies.NewYork:Basic Books;1984. 9. Randell R. Medicine and aviation, a review of the comparison. Meth Inf Med 2003; 42: 433-6. 10. Schmidt K, Bannon L.Taking CSCW seriously, supporting articulation work. Comp Supp Coop Work 1992; 1: 7-40. 11. Bowker GC, Star SL, Turner W, Gasser L. Social science, technical systems, and coopera- tive work, beyond the great divide. Mahwah (NJ): Lawrence Erlbaum; 1997. 12. Greenbaum J, Kyng M. Design at work: coop- erative design for computer systems. Hillsdale (NJ): Lawrence Erlbaum Associates; 1991. 13. Asaro PM. Transforming society by trans- forming technology, the science and politics of participatory design. Acc Man Inf Techn 1996; 10: 257-90. 14. Kling R, Scacchi W. The web of computing, computer technology as social organization. Advances in Computers 1982; 21: 1-90. 15. Baskerville R, Stage J, DeGross JI, editors. Organizational and social perspectives on information technology,IFIPTC8WG8.2 inter- national working conference on the social and organizational perspective on research and practice in information technology, June 9-11, 2000, Aalborg, Denmark. Boston: Kluwer Academic Publishers; 2000. 16. Berg M. Patient care information systems and healthcare work, a sociotechnical approach. Int J Med Inf 1999; 55: 87-101. 17. Kuhn KA, Giuse DA. From hospital informa- tion systems to health information systems, problems, challenges, perspectives. Meth Inf Med 2001; 40: 275-87. 18. Aarts J, Peel V,Wright G. Organizational issues in health informatics, a model approach. Int J Med Inf 1998; 52: 235-42. 19. Berg M. Medical work and the computer-based patient record, a sociological perspective. Meth Inf Med 1998; 37: 294-301. 20. Gorman PN, Lavelle M,Ash JS. Order creation and communication in health care. Meth Inf Med 2003; 42: 376-83. 21. Hughes D. When nurse knows best. Some aspects of nurse/doctor interaction in a casualty department. Sociology of Health and Illness 1988; 10: 1-22. 22. Aanestad M, Edwin B, Mårvik R. Medical image quality as a socio-technical phenome- non. Meth Inf Med 2003; 42: 302-6. 23. Garfinkel H. Studies in ethnomethodology. Englewood-Cliffs (NJ): Prentice-Hall; 1967. 24. De Lusignan S, Wells SE, Hague NJ, Thiru K. Managers see the problems associated with coding clinical data as a technical issue whilst clinicians also see cultural barriers. Meth Inf Med 2003; 42: 416-22. 25. van der Lei J. Use and abuse of computer- stored medical records [editorial]. Meth Inf Med 1991; 30: 79-80. 26. Winthereik BR.“We fill in our working under- standing”: on codes, classifications and the production of accurate data. Meth Inf Med 2003; 42: 489-96. 27. Hutchins E. Cognition in the wild. Cambridge (MA): MIT Press; 1995. 28. Bång M, Timpka T. Cognitive tools in medical teamwork, the spatial arrangement of patient records. Meth Inf Med 2003; 42: 331-6. 29. Nygren E, Henriksson P. Reading the medical record, analysis of physicians’ ways of reading the medical record. Comput Methods Pro- grams Biomed 1992; 39: 1-12. 30. Clarke K, Hartswood M, Procter R, Rounce- field M, Slack R. Trusting the record. Meth Inf Med 2003; 42: 345-52. 31. Ash JS, Gorman PN, Lavelle M, et al. Percep- tions of physician order entry, results of a cross-site qualitative Study.Meth Inf Med 2003; 42: 313-23. 32. Reddy M, Pratt W, Dourish P, Shabot MM. Sociotechnical requirements analysis for clini- cal systems. Meth Inf Med 2003; 42: 437-44. 33. Berg M. Search for Synergy: Interrelating Medical Work and Patient Care Information Systems. Meth Inf Med 2003; 42: 337-44. 34. Coiera E. Mediated interaction design. Int J Med Inf, forthcoming. 35. Orlikowski WJ, Walsham G, Jones MR, DeGross JI, editors. Information technology and changes in organizational work, proceed- ings of the IFIP WG8.2 working conference on information technology and changes in organizational work, December 1995. London: Chapman & Hall; 1996. Berg et al. 300 Methods Inf Med 4/2003
  • 6. 36. Dardelet B, Darcy S. Rescuing the emergency, multiple expertise and IT in the emergency field. Meth Inf Med 2003; 42: 360-5. 37. Sicotte C, Lehoux P. Teleconsultation, rejected and emerging uses. Meth Inf Med 2003; 42: 451-7. 38. Jones MR. ”Computers can land people on Mars, why can't they get them to work in a hospital?” Implementation of an electronic patient record system in a UK hospital. Meth Inf Med 2003; 42: 410-5. 39. Van der Ploeg I.Positioning the patient:norma- tive analysis of electronic patient records. Meth Inf Med 2003; 42: 477-81. 40. Adams S, de Bont AA. Notions of reliability, considering the importance of difference in guiding patients to health care web sites. Meth Inf Med 2003; 42: 307-12. 41. Faber M. User involvement in the design and introduction of an electronic patient record, a precarious balance. Meth Inf Med 2003; 42: 371-5. 42. Stricklin M-L. Point of care technology, a sociotechnical approach to home health imple- mentation. Meth Inf Med 2003; 42: 463-70. 43. Balka E. Getting the Big Picture: The macro- politics of information system development (and failure) in a Canadian hospital. Meth Inf Med 2003; 42: 324-30. 44. Novek J. IT, gender, and professional practice, or, why an automated drug distribution system was sent back to the manufacturer. Sci Techn Hum Val: 2002; 27: 379-403. 45. Timmons S. Resistance to computerised care planning systems by qualified nurses working in the UK NHS. Meth Inf Med 2003; 42: 471-6. 46. Latour B. Aramis, or the love of technology. Cambridge (MA): Harvard University Press; 1996. 47. Ellingsen G, Monteiro E. Big is Beautiful: electronic patient records in large Norwegian hospitals 1980s-2001. Meth Inf Med 2003; 42: 366-70. 48. Hyysalo S, Lehenkari J. An activity-theoretical method for studying user participation in IS design. Meth Inf Med 2003; 42: 398-404. 49. Hartswood M, Procter R, Rouchy P, Rounce- field M, Slack R, Voss A. Working IT out in medical practice, IT systems design and development as co-realization. Meth Inf Med 2003; 42: 392-7. 50. Markussen R. Dilemmas in Cooperative Design. In: Trigg R, Anderson SI, Dykstra- Erickson E, editors. PDC'94, Proceedings of the Participatory Design Conference. Palo Alto (CA): Computer Professionals for Social Responsibility; 1994. 51. Berg M. Implementing Information Systems in Health Care Organizations: Myths and Challenges. Int J Med Inf 2001; 64: 143-56. 52. Ciborra CU, Braa K, Cordella A, et al. From control to drift, the dynamics of corporate information infrastructures. Oxford: Oxford University Press; 2000. 53. Hanseth O, Aanestad M. Design as bootstrap- ping, on the evolution of ICT solutions in health care. Meth Inf Med 2003; 42: 384-91. 54. Monteiro E. Integrating health information systems: a critical approach. Meth Inf Med 2003; 42: 428-32. 55. Ellingsen G, Monteiro E. A patchwork planet. Integration and cooperation in hospitals.Comp Supp Coop Work. 56. Sauer C.Why Information Systems Fail:A Case Study Approach. Henley-on-Thames: Alfred Waller; 1993. 57. van der Meijden MJ, Solen I, Hasman A, J.Troost, Tange HJ. Two patient care informa- tion systems in the same hospital: beyond tech- nical aspects. Meth Inf Med 2003; 42: 423-7. 58. Stoop A, Berg M. Integrating quantitative and qualitative methods in patient care information system evaluation, guidance for the organiza- tional decision maker. Meth Inf Med 2003; 42: 458-62. 59. Kaplan B. Organizational evaluation of medical information resources. In: Friedman CP, Wyatt JC, editors: Evaluation methods in medical informatics. New York: Springer- Verlag 1997; pp. 255-80. Correspondence to: Marc Berg, MA, MD, PhD Institute of Health Policy and Management Erasmus University Medical Center P.O. Box. 1738 3000 DR Rotterdam The Netherlands E-mail: m.berg@bmg.eur.nl ICT in Health Care: Sociotechnical Approaches 301 Methods Inf Med 4/2003 View publication stats