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Part 2: scalability
Tim Benson Abies Ltd, 24 Carlingford Road,
London NW3 1RX tim.benson{at}abies.co.uk
The actions of the medical profession and the British
government have encouraged general practitioners to embrace computing at the same time that hospital doctors were alienated. However, clinical computing for a general practice is technically much easier
than for a whole hospital or health district. This review focuses on
technical issues (patient record architecture, terminology, interoperability standards, security, and developments in computer technology) which prevent what works for general practice working well
in hospitals. These issues, which are all related to scalability, present a major challenge to those responsible for delivering the new
vision of integrated 21st century information technology support for
the NHS.1
This article has had a long gestation. Much of the evidence
comes from my experience over nearly 30 years, first as leader of the
computer evaluation unit at the Charing Cross Hospital, London
(1974-80), then as a general practice system supplier (1980-90), and as
a supplier of clinical information systems for hospital doctors
(1990-9). An initial version of the article was written in 1993 and
extended for the NHS Executive's integrated clinical workstation
project 1995. A later version was presented at the AMIA Symposium,
Washington, DC, November 2001 (proceedings, pp 42-6).
Computer based patient records have long been seen as a goal of
healthcare informatics, but the reality has proved elusive. The
requirement is easily stated A key difference between using paper and computer based records is
that the users of paper records do all of the work: "To use a
paper-based patient record, the reader must manipulate data, either
mentally or on paper, to glean important clinical
information."4 The computer should relieve readers of
this effort, but this points to the root cause of the difficulty. The
human brain is far more flexible than any computer program and can cope
with an unlimited number of uses. The present generation of computer
based patient record systems can handle only a limited number of
predetermined tasks.
However, patient records serve an enormous range of tasks,
including direct patient care, preventive care (call, recall, and follow up), clinical decision support, audit and accountability, legal
evidence, management and financial control, clinical trials, research,
and comparisons (local, national, and international). These uses have
been classified as clinical management, clinical administration,
clinical services, and general management.5 Furthermore,
each group of staff has specific needs of its own. The Department of
Health recognises 62 clinical specialties for doctors, with a similar
number of nursing, scientific, therapeutic, and administrative
specialisations. Each group has its own audit, quality assurance,
decision support, and other requirements. This helps to explain
why most successful patient record systems have been limited to
situations where the scope of use is well understood, such as general
practices6 or individual clinical units in hospitals. The
unresolved issue is that patient record architectures needed to support
general practices and hospital-wide applications are not commensurable.
General practitioners work mostly in their consulting room, normally
seeing one patient at a time on a one to one basis, and their computer
systems are designed for a limited number of uses. Hospital doctors
work in teams and in many places Many efforts have been made to improve the structure and organisation
of patient records, notably Weed's problem oriented medical record
(POMR), originally developed nearly 35 years ago for use in
hospitals.8 In Britain today, few hospitals use POMR,
although it is widely used in computerised general practices, having
been introduced as an integral part of the Abies-Meditel System 5 in
1987. Users find what they want in a complex patient record (which may
have thousands of entries) by displaying information on the screen
using multiple views by date, problem, topic, or reminder prompt. This
type of dynamic formatting contrasts with paper records, which are
formatted at the time that they are written.9
Hospital case notes are more voluminous than traditional British
general practice paper records, which are normally maintained on small
cards, named after the politician who introduced them more than 90 years ago. Lloyd George's system is scarcely fit for its purpose, but
the consequent brevity of notes facilitated computerisation with small
computers. In contrast, most US doctors dictate verbose records, which
are less amenable to structured record keeping.
Slack has suggested that one way forward is to separate the clinical
and administrative uses of computers.10 An alternative approach is to use record architectures that support multiple patterns
of use, based on sophisticated indexing and multidimensional terminology structures (such as SNOMED CT, see below). Such an architecture must allow entries in a record to be classified and grouped in many different ways, not all of which can be specified in advance.
Medicine is unlike other sciences such as biology or chemistry in
lacking a formal, internationally agreed terminology. This is partly
due to the enormous breadth of the subject and the eclectic origins of
the terms used.11
Classification is a way of grouping and organising categories of things
or patients according to some criterion. Each purpose may warrant a
different classification. On the other hand, coding schemes provide
identifiers for computer use. There is no value in having more than one
identifier. Hierarchical coding schemes, such as the international
classification of diseases (ICD) and the original Read codes, combine
the features of a classification and a coding scheme. They cannot be
multipurpose, because they are based around a single hierarchical axis
and each code is classified in one way only.
Summary points
General practice computerisation has been a success, but what
works in a GP surgery does not readily scale up to work in a hospital
Computer based patient records have a more diverse range of uses in
hospitals than in general practice, and simple unidimensional
classification schemes such as the original Read codes cannot cope
In hospitals many different computer systems need to be linked
together, requiring common interoperability standards
Protection of privacy is a much greater problem in hospitals
The number of potential users in hospitals makes substantial demands on
hardware and networks
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Methods
Top
Methods
Patient records architecture
Clinical terminology
Interoperability standards
Security
Developments in computer...
Conclusions
References
![]()
Patient records architecture
Top
Methods
Patient records architecture
Clinical terminology
Interoperability standards
Security
Developments in computer...
Conclusions
References
to provide the right information, to the
right person, at the right place, at the right time, efficiently and
safely. The Audit Commission estimates that 25% of hospital staff time
is spent collecting data and using information, yet the quality of data
being collected is a cause for concern.2 Patient safety is
paramount.3
any ward where they have patients,
outpatient clinics, offices, laboratories, and libraries, often at more
than one hospital, and from private consulting rooms. Hospital medicine
has complex workflow, job specialisation, and division of labour, which
creates complex and diverse patterns of information use. For example,
the mode of information use is different in intensive care, on
inpatient wards, at outpatient clinics, and in general practice
surgeries with regard to variables such as the volume and half-life of
data, the need for rapid response, and the value of decision support tools and integration with medical devices.7
![]()
Clinical terminology
Top
Methods
Patient records architecture
Clinical terminology
Interoperability standards
Security
Developments in computer...
Conclusions
References

View larger version (31K):
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Fig 1.
Information flows within a hospital. Each box
may represent several different computer systems from different
suppliers
All British general practices now use the Read codes (see box 1), which were designed to facilitate data entry in the consulting room.12 Attempts to use the original Read codes in hospitals proved impracticable, because the simple hierarchical scheme could reflect only one view, namely the general practice perspective for which the system was designed.
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Hospitals have an administrative requirement to classify patients in various ways in order to count the numbers being treated, but simple hierarchical classifications designed for counting cases, such as ICD, have no value in direct patient care. Critics such as Slee, who developed the first hospital discharge abstract system and led the development team for ICD-9 CM (the extended version of ICD used in the United States), claim that the way that existing classification systems are being used, or misused, poses a serious threat to the truthfulness and completeness of medical records.13
The NHS Clinical Terms project, which was started in 1992, was a major attempt to address these issues. However, the decision to specify a primary hierarchy defeated the purpose of a multiple hierarchy scheme, and the structure was unnecessarily complex. After an adverse report from the Public Accounts Committee, the Department of Health decided to merge the results with the College of American Pathologist's SNOMED Reference Terminology to develop the SNOMED Clinical Terms, which avoid these problems (see box 2).
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Interoperability standards |
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Early general practice computer systems were self contained, and could function without computer interfaces in the surgery as a single computer supplier met all needs. The situation in NHS hospitals is more complex: each hospital has a variety of different systems, which need to interchange data (see fig 1).
Interoperability is a cornerstone of integrated care record
services.1 However, components can interoperate only if
they are designed to fit with each other. A national architecture for healthcare interoperability is required. Interoperability falls into
two classes
functional and semantic.
Functional interoperability is the ability of components to exchange data, without necessarily understanding what is being exchanged. The USB specification for attaching peripheral components (modem, printer, etc) to computers is an example. Most of the e-Government Interoperability Framework falls into this category.14
Semantic interoperability is the capability to share data between applications. This depends on both the sender and receiver understanding a common language, in much the same way that English is used as a common language for air traffic control. This does not mean that all systems need to use this language internally, only that it is used for interoperability. The lack of such a language has been an impediment to progress for many years, although special purpose standards have enabled electronic data interchange for a limited range of tasks such as reporting clinical test results.15 HL7 version 3 (see box 3), is intended to fill this gap, in combination with SNOMED Clinical Terms, although this combination has not yet been proved in practice.
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Major social and economic benefits have been claimed for sharing data between different healthcare staff across different sites and disciplines. One of the few evaluated experiments, which is less well known than it should be, was the Exmouth Care Card project in the late 1980s, which used a smart card as the exchange medium (see box 4).
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Security |
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Security was not a major problem for general practice computer systems until the introduction of wide area networking (NHSnet and the internet). Each practice computer was a closed system with no way for an unauthorised user to gain access. A lock on the door was regarded as sufficient. Most general practitioners thought their electronic records were more secure than their paper records. Today, however, all general practitioners are connected to NHSnet and have to comply with a rigorous code of connection.
Security has always been a more serious threat in hospitals, where
thousands of staff come and go at all hours. Hospital networks may have
thousands of access points, making it impossible to restrict access
solely to staff who have been personally vetted by each doctor. The
issues of protecting privacy and data sharing are not unique to health
care.16 Other public services, such as the criminal
justice system and the tax system, also need scalable methods of
protecting privacy, based on user authentication and explicit
authorisation of other agents to view personal information. One such
tool is the Government Gateway.17
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Developments in computer technology |
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The power of computers (measured as a function of speed and storage capacity) has increased by a factor of tens of thousands in the past three decades. Early systems were designed around the constraints of what was affordable. The availability of small, inexpensive multiuser computers was a major spur to general practice computerisation. Designers took advantage of the limited size of practices to use microcomputers. The first Abies system in 1980 met the needs of a four doctor practice with 32 kb of RAM and 1 Mb of disk storage (see fig 2). In comparison, the Charing Cross Hospital in 1975 ran patient administration and cumulative ward based clinical test reporting systems with just 450 Kb of RAM and 150 Mb of disk storage. However, this computer occupied a large room.
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Another issue has been the number of computer screens required. Even by 1993, most computerised practices had more than two screens per doctor.18 Few hospitals have invested in anything like the number of workstations or network band-width they need to provide access anywhere at any time.
The major development of the past decade has been the development of
the internet. This has already led to ubiquitous email and browsing and
has transformed the way that medical knowledge is created and
disseminated.19
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Conclusions |
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There are several reasons why it was technically easier to computerise general practices than large hospitals, and all are related to scalability. What works for a small practice does not work for a big hospital or across the primary-secondary care divide.
New developments
such as HL7 version 3, SNOMED Clinical Terms, new
patient record architectures, security tools, and internet technology
are emerging that may provide the cornerstones on which integrated patient record services can be built. However, each development is as yet unproved individually in the NHS, let alone in
combination with the others. On the other hand, we now know that
traditional methods do not do the job, so innovation is the only option.
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Acknowledgments |
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I thank Jeremy Wyatt for comments on an earlier draft of this article.
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Footnotes |
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Competing interests: I have participated in many of the events described and have provided consultancy services to various NHS organisations.
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References |
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| 1. | Department of Health. Delivering 21st century IT support for the NHS: national strategic programme. London: DoH, 2002. (www.doh.gov.uk/ipu/whatnew/deliveringit/nhsitimpplan.pdf, accessed 4 Aug 2002.) |
| 2. | Audit Commission. Data remember: improving the quality of patient-based information in the NHS. 15 March 2002. www.audit-commission.gov.uk/reports/AC-REPORT.asp?CatID=&ProdID=9C1F8785-E265-4c6c-ACE7-6E02EC2A4E19 (accessed 22 Aug 2002). |
| 3. | Institute of Medicine. To err is human: building a safer health system. Washington, DC: National Academy Press, 2000. (www.nap.edu/books/0309068371/html/, accessed 18 Aug 2002.) |
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Simpson K, Gordon M.
The anatomy of a clinical information system.
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Hammond WE.
How the past teaches the future.
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| 11. | Blois SM. Information and medicine: the nature of medical descriptions. Berkeley, CA: University of California Press, 1984. |
| 12. | Read J, Benson T. Comprehensive coding. Br J Healthcare Comput 1986;May:22-25. (www.abies.co.uk/publications/readcodes.htm, accessed 22 Aug 2002.) |
| 13. | Slee V, Slee D, Schmidt J. The endangered medical record: ensuring its integrity in the age of informatics. Saint Paul: Tringa Press, 2000. |
| 14. | e-Government interoperability framework. Version 4. London: Office of the e-Envoy, 2002. (www.govtalk.gov.uk/interoperability/egif_document.asp?docnum=534, accessed 16 Aug 2002.) |
| 15. | Benson T. Why industry is not embracing standards. Int J Med Inf 1998; 48: 133-136[Medline]. |
| 16. | Performance and Innovation Unit. Privacy and data-sharing: the way forward for public services. London: Cabinet Office, 2002. (www.cabinet-office.gov.uk/innovation/2002/privacy/report/, accessed 16 Aug 2002.) |
| 17. | Office of the e-Envoy. The government gateway. 2002. www.govtalk.gov.uk/gateway_partnerlink/1_4.htm, accessed August 18, 2002. |
| 18. | Social Surveys (Gallop Poll). In: Computerisation in GP practices: 1993 survey. Leeds: NHS Management Executive, 1993. |
| 19. | Wyatt JC. Clinical knowledge and practice in the information age: a handbook for health professionals. London: Royal Society of Medicine Press, 2001. |
| 20. | Chisholm J. The Read clinical classification. BMJ 1990; 300: 1090. |
| 21. | SNOMED Clinical Terms (SNOMED CT) July 2002 release. Northfield IL: SNOMED International, 2002. (www.snomed.org, accessed 12 Aug 2002.) |
| 22. | Health Level Seven. HL7 messaging standard recommended as core national PMRI standard under HIPAA. Press release April 2002. www.hl7.org (accessed 12 Aug 2002). |
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| 24. | NHS Management Executive. The care card: evaluation of the Exmouth project. London: HMSO, 1990. |
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