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Alex Lewis is a consultant psychiatrist in general adult psychiatry and Medical Director at Harrow & Hillingdon Healthcare NHS Trust, based in north-west London (Mental Health Unit, Northwick Park Hospital, Watford Road, Harrow, Middlesex HA1 3UJ, UK. Tel: 020 8869 2282; e-mail: alex.lewis{at}hhh-tr.nthames.nhs.uk). He is heavily involved in information management, both locally and nationally. Additionally, he leads a team, based at King's College London, researching burn-out in general practitioners.
In health care, the word communication covers a wide range of interactions, including interpersonal communication, communication technology, medical education, health policy and mass communication. It takes many forms, from a brief informal talk between colleagues to formalised written documents between professionals. The essence of this verbal and written communication is the sharing of information. To make our information exchange more useful and to give it more meaning, the information communicated needs an appropriate framework. For example, the meaning of the diagnosis schizophrenia is greatly enhanced by knowledge of the individual patient within the context (the framework) of his or her past history and family background.
In this paper I consider ways of organising this information to enhance its meaning and thus to improve the quality of communication. I concentrate on aspects of communication, both electronic and paper-based, related to the delivery of care and examine ways of using a common structure for the collation and presentation of information. In the past, the medical profession has communicated in free text (ordinary written English), but there is now an increasing trend towards electronic clinical communications. Organising information improves the consistency and quality of communications, which may have a direct impact on clinical outcome. Existing standards, which pre-date the widespread adoption of electronic communication of information, developed to facilitate sharing of information between individuals at various discrete levels. For example, at one level are the doctors, nurses, social workers and others dealing directly with patients; at a higher level, are the departments within an organisation; above them are organisations communicating between themselves; and communication is also required between these levels and the service users (the patients, their families and supporters).
Good communication is clearly essential for good practice. If coordination and communication within different parts of the National Health Service (NHS) and between the NHS and other care providers such as social services breaks down, the consequence is inevitably poorer care for the patients affected (Department of Health, 1998).
The growing national emphasis on the information technology necessary for rapid and efficient communication demands excellent organisation of information.
| Standards governing organisation of information |
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The need for common standards governing the communication of information applies even more to electronic communication. The Clinical Systems Group (1998) has recommended sytems for organising clinical data and work is currently underway nationally to evaluate semi-structured communications for all professions, including trial evaluation of this approach in mental health care trusts (for further details see http://www.nhsia.nhs.uk/headings/pages/default.asp).
The NHS Executive (1999) has identified a number of areas of particular importance to the meaning and quality of communication within health care: authoring and reading health records; a common clinical language; and communicating information within and between teams.
| Authoring and reading health records |
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Poor organisation of a health record increases the chance of error. Studies on medical records have shown that the absence of information or inaccurate information adversely affect information retrieval and, probably, patient care (Tang et al, 1994). Clinical information has been included in the paper record for many years and the way in which it is organised has developed from a simple chronological listing to a more structured and problem- or task-oriented presentation (Tange, 1996). For example, Weed (1968) suggested that clinical information in health records be organised into four different types: subjective (what the patient has told us), objective (what we have observed), assessment (our interpretation of these findings) and plan (the management plan). He suggest the acronym SOAP (subjective, objective, assessment, plan) as a useful mnemonic for this structure. Donnelly et al (1992) later modified this framework, offering HOAP: history (what the patient has told us), observations (what we have observed), assessment (our interpretation of these findings) and plan (the management plan). Wyatt (1994) added patient identifiers and expanded the structure to include actions performed by the health worker (such as therapy initiated) and to combine assessment and plans into hypotheses. Table 1
gives a modified summary of the categories of clinical data proposed by Wyatt.
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| A common language: classification and coding |
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Classification and coding
Before examining some classification systems, I will attempt to clarify the difference between classification and coding. In classification systems, groups of words or terms are collected together and organised. Each of these terms will be associated with a particular concept. For example, the terms depressed mood, loss of interest and bleak and pessimistic views about the future might appear in a classification depressive episode. Systems of classification have typically been hierarchical (visualised as a tree's roots), meaning that more detail is obtained the further down the hierarchy one proceeds, although ideas are still linked and organised around common attributes (Fig. 1
). For example, a depressive episode may be mild or moderate and may occur with or without somatic symptoms.
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Classification can therefore be used as another way of organising information and can act as a common language between health professionals, enhancing the quality and usefulness of the communication.
Examples of classification and coding systems
A classification system with which readers will be familiar is the ICD10 (World Health Organization (WHO), 1992), which is widely used in diagnostic practice. It is interesting to note that the original purpose of the ICD was to allow the WHO systematically to collect morbidity and mortality data from all over the world for statistical analysis.
Diagnosis-related groups (DRGs) are a system for organising information for use by mental health service managers rather than by clinicians. Used to determine a service's overall in-patient case mix, DRGs relate diagnoses and costs of interventions. Their purpose is to produce codes that can be processed for cost analysis, thus enabling resource utilisation to be measured (Fienstein, 1988). The basis of DRGs is ICD9CM (American Hospital Association, 2002), a multi-axial system itself based on ICD9. ICD9CM code groupings, according to disease or body organ, are made to reflect the use of resources and treatment. Further grouping of codes according to such factors as length of stay and age are then made, after which a DRG is generated.
A problem with relying on coding alone to communicate clinical information is the size and complexity of the coding system needed to convey sufficient information. Classification systems for clinical use continue to appear that attempt to provide the detail of information required by health professionals and to facilitate communication by creating a common language (through standardised organisation of information). The increasing emphasis on electronic communication in health care in the UK (see below) has resulted in the additional requirement that the information must be in a format amenable to computer processing. Two systems in current use that try to meet these requirements are the Systematized Nomenclature of Human and Veterinary Medicine (SNOMED) and Clinical Terms.
The SNOMED has its origins in pathology. It is a general medical terminology developed to index events in the patient record (Cote et al, 1993). It is designed to be computer-processable and easily translated into different languages (Rothwell, 1995). Its classification is based on 11 axes, or modules (Box 1
), given an alphanumeric code. Each of the 11 modules contains thousands of individual descriptive terms. Terms or descriptions are combined from the axes to give a clinical description from a particular code (the combination of qualifiers).
| Box 1 SNOMED axes (after Rothwell, 1995) Axis or module Topography Morphology Function Living organisms Chemicals, drugs and biological products Physical agents, forces and activities Occupations Social context Diseases/diagnoses Procedures General linkage modifiers
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Formerly called Read Codes, Clinical Terms were originally introduced for use in primary care and are designed to classify and code events in the EPR (O'Neil et al, 1995). Earlier versions were hierarchical, but this format could be inadequate for reflecting the true clinical picture. Rather than relying on axes of classification (the branching roots concept), with each code belonging to a particular hierarchy, the latest version allocates a unique code to each concept. Individual terms (words or phrases) describing a particular condition are combined with qualifiers. A list (template) of qualifiers is provided, including, for example, mild, moderate or severe for an illness and first, new or ongoing for an episode.
Thus, one concept (a condition or disease) might be depression. The Clinical Term depression might include describing words such as postnatal and depressive disorder. Add to these qualifiers: the postnatal depression might be moderate and ongoing. Each element of the resulting moderate, ongoing clinical depression will have an alphanumeric code, making it amenable to computer processing.
As this structure uses links between concepts and qualifiers, rather than the more hierarchical approach of SNOMED, classification using Clinical Terms gives a richer description than can be obtained using a purely hierarchical structure. The terms are designed to capture and retrieve patient-centred information in natural clinical language within computer systems.
Table 2
summarises the uses of different classification and coding systems, and Table 3
compares the classifications obtained using ICD10, Clinical Terms and SNOMED.
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| Problems with coding and fully structured records |
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SNOMED and Clinical Terms go some way towards refining the information necessary for structuring clinical records and communicating meaningful information. However, each has its problems. SNOMED allows complex terms describing the patient's condition, but because there are no rules governing combination of terms, concepts may be expressed in many different ways that might not be valid. With Clinical Terms the opposite is true: the templates restrict the terms (description of the condition) that may be combined, so forcing the user to choose only the terms allowed. This may mean that not all of the information is communicated in the way that the user intended.
Thus, coding and classifications help us to standardise our clinical language and improve communication, but do not necessarily provide a universal structure sufficient to allow the user to communicate all of the information necessary to provide day-to-day care.
| Electronic patient records and electronic health records |
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The electronic patient record (EPR) and electronic health record (EHR) are terms used interchangeably to describe electronic versions of health records. Although they seem self-explanatory, the Department of Health's (1998) Information for Health gives explicit definitions. The EPR is a record of the periodic care a patient receives from a particular institution or more specialised service, for example, the record of care from a mental health NHS trust. Essentially it comprises all patient notes, in electronic format. The EHR is a longitudinal record, held in primary care, which contains a note of any contact with health services during the life of the patient; it includes both primary care information and subsets of the EPR information.
Information for Health places a timescale on the adoption of electronic communications, particularly the EPR. The development of the EPR system is divided into six levels (summarised in Box 2
). The most basic level, level 1, mainly concerns supporting the administrative functions of an organisation by using a patient administration system (PAS) with a master patient index (MPI), which is also known as a patient master index (PMI). The only support to health workers at this level is indirect, through separate, standalone departmental systems such as those for pathology results and X-rays. At level 2, the principle of common patient identifiers (such as NHS number) is adopted; basic speciality modules, for example, an out-patient clinic module, may also be included. It is only at level 3 that true support is provided to health workers in their daily practice. Systems at this level have many practical uses, all of them electronic, including preparation for ward rounds, requesting an investigation from pathology and receiving the test results, nursing assessment, care planning, automatic generation of discharge letters, prescribing and recording of drug administration, development of care profiles, and uni-disciplinary to multi-disciplinary care pathways. At level 3 and beyond, the benefits of structure to information for communications are felt the most. Levels 4 to 6 are concerned with increasing interconnectivity, with emphasis on speed, sharing of information and communication, and multi-disciplinary and cross-team working.
| Box 2 Main components of the six levels of the electronic patient record Level 1 Patient administration systems; computerised appointments; case note tracking; standalone pathology records Level 2 Common patient identifier across department systems; out-patient clinic modules Level 3 Computerised support for assessment, care planning, investigation requests, electronic prescribing, care pathways Level 4 Linked knowledge and research to information management and technology clinical care support; decision support systems; electronic prescribing linked to evidence-based medicine Level 5 Majority of clinical information stored in EPRs; advanced workflow; speciality modules Level 6 High-speed networks; advanced data-input devices; full case notes online; teleconferencing
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| Organising information for communication within and between teams |
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The dilemma arises that most classification or coding systems use fully structured records, or set templates, suitable for electronic communication; in our own records, however, we and other health professionals usually use free text. Communication within the NHS is not good and we sorely need standards governing information exchange for key clinical communications (Clinical Systems Group, 1998). The ideal might be a system that combines the advantages of structured records with the richness of free text.
Sharing information has been shown to improve record-keeping (Johnston et al, 1994) and it might improve outcomes. Adequate written communication is essential for good teamworking, particularly for hand-over, referrals within and to other specialities and in multi-disciplinary care. In these situations, the main source of the information communicated is the health record. The quality of the record determines the quality of the information contained in communications between members of a team, and thus a standard that can provide a common language may improve care.
As discussed above, coding and classification of health records can help in the organisation of information for communication and also in its collection for computer processing. However, at present relatively little information in health records is coded or in a structured format (Table 4
). In mental health care most clinical information and communications are in a free-text format.
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| Box 3 Headings in the NHS's draft standard for communicating patient information (NHS-Information Authority, 2000) Health characteristics Actions History Assessment Family history Treatment Social circumstances Clinical administration Examination findings Participation Test results Diagnosis Outcome Health characteristics and actions have a past, present and future time component, in which the future health characteristics are the outlook and the future actions are the plan
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A semi-structured standard for information communication may enable us to overcome the problems both of the lack of sufficient detail and flexibility associated with existing classification or coding systems and of lack of consistency and structure found in free-text communications.
| Multiple choice questions |
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| References |
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Clinical Systems Group (1998) Improving Clinical Communications. London: NHS Executive.
Cote, R. A., Rothwell, R. S., Palotay, J. L., et al (1993) The Systematized Nomenclature of Human and Veterinary Medicine SNOMED International. Northfield, IL: College of American Pathologists.
De Moor, G. J. E., McDonald, C. J. & Nothoven van Goor, J. (1991) Progress in Standardisation in Health Care Informatics. Amsterdam: IOS Press.
Department of Health (1998) Information for Health. London: HMSO.
Donnelly, W. J., Hines, E. & Brauner, D. J. (1992) Why SOAP is bad for the medical record. Archives of International Medicine, 152, 481484.[CrossRef][Medline]
Fienstein, A. R. (1988) ICD, POR and DRG: unsolved scientific problems in the nosology of clinical medicine. Archives of International Medicine, 148, 22692274.[Abstract]
Johnston, M. E., Langton, K. B., Haynes, R. B., et al (1994) The effects of computer based clinical decision support systems on clinician performance and patient outcomes. A critical appraisal of research. Annals of Internal Medicine, 120, 135142.
NHS Executive (1999) Learning to Manage Health Information. London: NHS Executive.
NHS Information Authority (2000) Towards an Information Standard for Organising Clinical Communications. London: NHS Information Authority.
O'Neil, M., Payne, C. & Read, J. (1995) Read Codes Version 3: A user-led terminology. Methods of Information in Medicine, 34, 187192.[Medline]
Rothwell, D. J. (1995) SNOMED-based knowledge representation. Methods of Information in Medicine, 34, 209213.[Medline]
Tang, P. C., Fafchamps, D. & Shortliffe, E. H. (1994) Traditional hospital records as a source of clinical data in the outpatient setting. In Proceedings of the Symposium on Computer Applications in Medical Care, pp. 575579. Bethesda, MD: American Medical Informatics Association.
Tange, H. (1996) How to approach the structuring of the medical record? Towards a model for flexible access to free text medical data. International Journal of Biomedical Computing, 42, 2734.
Weed, L. L. (1968) Medical records that guide and teach. New England Journal of Medicine, 278, 593599.
World Health Organization (1992) Tenth Revision of the International Classification of Diseases and Related Health Problems (ICD10). Geneva: WHO.
Wyatt, J. (1994) Clinical data systems, part 1: data and medical records. Lancet, 344, 15431547.[CrossRef][Medline]
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