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The clinical workstation
  1. Department of Paediatrics
  2. Addenbrooke’s Hospital
  3. Hills Road
  4. Cambridge CB2 2QQ

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    It doesn’t really matter how you look at it, the promises of the computer revolution, the information highway, or whichever snappy title you give it have been slow to appear. The technology has clearly leapt ahead, and the concept of a clinical workstation is well established, but the practicalities have been difficult to resolve.

    What is a clinical workstation?

    Evolving technology has provided an increasing variety of tools to help the clinician. Many of these have been developed individually, using different machines in different areas. The concept of the workstation was created to amalgamate these technologies and tools into a single ‘computer’ allowing access to all its different components from a single environment. The clinician can then perform multiple tasks from a single site, collecting data from many different sources, and reducing the wastage of duplicating data entry. This ‘comprehensive’ definition of a workstation is not universally applied, but is one used by most authors,1 2 although others use the term for any system that interprets data intelligently or even one that collates complex imaging.3


    We must all by now be familiar with the basic functions of a desk top computer. Word processing is perhaps the most fundamental of these, but they can also include many other commonly used programs. Spreadsheets and databases (Excel, Access, FoxPro, etc) allow data handling so that local information can be stored. Programs such as Powerpoint generate slides and there are many programs (Papyrus, Reference Manager, etc) that allow the storage and recall of references. These latter will often allow the automatic entry of data from disc or on line sources, allowing storage of a greater volume of data, such as abstracts. Graphics and statistical packages (Graph, FigP, SPSS, Statview, etc) are further powerful desktop packages.

    The development and universal availability of CD ROM has vastly increased the volume of information accessible, meaning that entire volumes of text can be absorbed onto a local computer. All of this has been accompanied by a concomitant (and essential) improvement in hardware. Memory size, and particularly processor speed, have increased dramatically. The development of the new MMX processor will speed this still further.


    For the addition of a modem (preferably 28,800 baud minimum) and a phone line, PCs can access the limitless information available on the ’net. This is developing so fast that it becomes pointless to describe it in detail, but warrants brief mention. It can be difficult to find important and valuable data amidst the enormous volumes of information, and much time can be wasted trying to find the right place to go. Help navigating around the ’net is available with excellent books such as Kiley’s Medical Information on the Internet (websitehttp://www. Many medical schools have also set up web pages (for example Cambridge at and the University of Iowa even have a ‘Virtual Hospital’ ( with access to advice, textbooks, and quizzes. Bookmarking the useful sites once you’ve found them greatly reduces time wasted relocating helpful sites. A more recent development is the concept of an intranet. This is a site based network that contains a limited version of the internet, with textbooks, bulletin boards, etc. Its advantages are both speed (as it is so much smaller) and editorial control, as the facility to update the pages can be controlled.

    The other benefit of a modem and line is the facility to e-mail, either messages or entire files. Not only is contact easier as instant messages or complete files can be left even in the absence of the recipient, but the process is entirely independent of time zones!


    This is clearly a central component of any clinical information system. Access to e-mail within and between hospitals has clear benefits. Data on previous admissions, general practitioner (GP) records and results from prior investigations can be rapidly identified.5 6 Current technology, however, allows for more sophisticated possibilities such as producing rapid and timely reports on patients (or units, departments, etc) that can be sent directly to GPs, other hospitals, grant giving bodies, or wherever. GPs or referring hospitals can be automatically notified of admissions or discharges. Important information about changes to medication or results can be sent to all important carers immediately. Summaries can be wholly or partially automated, being produced automatically, with a predefined mailing list and to a standardised format. Data can be automatically retrieved from the databases to complete these reports. At a more esoteric level, telemedicine, or the transfer of complex clinical data between centres, is already here. This is especially useful for digital images (for example computed tomography or other radiology) but can be used in a variety of ways. This includes the recently publicised ‘live’ access in accident and emergency centres to video from cameras in the helmets of attending paramedics at the roadside. ‘Smart cards’ containing detailed information on patients are already being tried out in some areas.


    A further component of a workstation must involve an effective hospital based information system. Hospital systems collate clinical data, results, demographics and many administrative details (including financial data, current location of each patient, staffing levels, etc) into a central file server. Comprehensive data on the patients served by a hospital, whether inpatients or outpatients, can be collected. Results can be made available to any (authorised) clinician as soon as they are available.7 This is one of the more contentious areas of development, as such systems have historically been poorly designed. In many cases this results from a managerially driven design process that has focused on administrative issues (payroll, supplies, bedstate, etc) or laboratory issues (test ordering and results, sample processing) rather than clinician based issues (such as providing helpful clinical data at the point of consultation). Technical difficulties with amalgamating patient data and poor interface design between computer and user lead to the duplication of data entry and therefore cumbersome data entry screens. Data is frequently poorly delivered to the clinician and may be inaccessible for other uses (for example graphical presentation). The model for collecting and storing data is often complex (fig 1). The central file server must store all the ‘common’ data that is to be accessed by those using the system. This requires the facility to collate all laboratory results, but also to access locally entered data where applicable. Two way linkage with the user is therefore essential, allowing clinicians access to common data, and absorbing or updating a central database in return. This does not preclude sophisticated data collection or analysis, but does need adequate hardware links and a clearly defined central dataset to maintain integrity. At best such systems can provide timely local data, and link to central demographic and clinical data. The potential to reduce the duplication of data entry is therefore enormous.

    Figure 1

    Model for collecting and storing data.


    Decision support software is an area of huge potential for the workstation.8 Entry of clinical data allows its comparison with a ‘knowledge base’ within the computer. This can be designed to look for clinical similarities, prompt for further specific information and advise on diagnosis, investigation, or management.9Levels of expertise can be set, so that, for example, junior doctors might be advised of all potential drug interactions when prescribing, while senior doctors might only be warned if unusual combinations of drugs were being used.


    Teaching packages are an undervalued but rapidly expanding area and an important component of any clinical information system. Specially designed packages, such as interactive programs testing resuscitation skills, can be particularly helpful especially if they can be available to staff at the bedside whenever they have an opportunity to use them. The use of video clips for practical procedures, such as central line insertion, can be created and called up whenever wanted. Guidelines for the management of particular conditions could also be included as they can help to teach junior doctors and nurses by offering up treatment options for particular clinical situations.


    Many of the modern pieces of electronic equipment are designed to allow access to the data they use. In intensive care areas especially, there is now the facility for a great deal of clinical information about treatment to be collected automatically. Infusion pumps, ventilators, and monitors can be connected to a computer and data about the patient, their infusions, and other parameters can be stored as frequently as wanted. Electronic scales can be used to measure urine output, drain losses, or the patient’s weight. This allows the potential to control infusions according to these parameters. Inotropes can be titrated against blood pressure, or fluid intake against urine output. Complex alarm parameters can be set, and in one system in the United States, the combination of certain parameters has been designed to automatically bleep the clinician looking after the patient! There is an enormous potential to overcollect data however. The ability to measure or store a piece of information bears very little relationship to its value (indeed some might argue that they are in inverse proportion) and computers can be filled with information of little or no clinical use. Nevertheless it is remarkable that intensive care units still rely on extremely complex handwritten and hand calculated charts on a patient’s fluid balance for critical decisions.


    But how might it all fit together? The value of combining all of these disparate functions in a single workstation may best be seen by considering a hypothetical case. The admission late one night of a child with bloody diarrhoea and poor urine output, and the entry of their clinical information onto the computer (using the patient’s smart card for the demographic information) might prompt a reminder about the possibility of haemolytic uraemic syndrome. The doctor involved could then directly access an up to date textbook on screen, or even pull out abstracts from recent journal reviews. Appropriate blood tests and cultures could be organised, and ‘consult’ requests made as appropriate. Fluid regimens could then be ordered and the further management planned. If dialysis became necessary and a peritoneal catheter were needed, a video clip showing the technique for insertion could be shown at the bedside. Direct links to a specialist unit might provide video links with a renal expert to provide specific advice and allow them to view results and charts as well as the patient. Appropriate data collection for later research would automatically occur, results and radiographs appear as soon as they were available—the possibilities are endless!


    Such systems are not yet available, at least not as a total package. This reflects a number of problems, of which three are worth specific mention. Firstly, and perhaps inevitably, is money. The development of these packages and the integration of the many different components, is expensive as is technical support.10Although the technology is available for each component their combination is not straightforward. Software can rarely be brought in directly from commercial packages and needs to be adapted for the particular area in which it is to be used. This comes on to the second problem. Every clinical area within a hospital or even the same clinical area between hospitals has unique requirements. Each workstation therefore needs to be adapted for that area, in terms of the method of data collection, or format of output, etc. Such adaptations are extremely costly. Links to the laboratories may be easy to identify but for the data to be complete all information must be available, meaning that each hospital has to consider areas such as endoscopy suites, lung function laboratories and obstetric ultrasound departments to ensure that results from these areas is complete and available. Equally, much easily accessible data is of little long term use and the collection of vast quantities of redundant data must be avoided.10 Even today not every clinic (or clinician) is computer literate (let alone friendly) and their needs must also be addressed. Lastly there is the difficulty of balancing easy quick access to data with the need for adequate security, particularly if access to the internet is to be available. This is a large and difficult problem and not one that can be easily solved.


    We have spent many years hearing about the benefits that we are about to reap from computers, but often seem to find that workloads are increased rather than decreased by the demands for ever more complex data. I certainly hope that the possibilities being offered up in this review represent more than idle dreams, and may be the first signs of computer systems that genuinely help to reduce our workload.


    • Baud—the speed of data capture. The higher the baud the quicker the device.

    • Bookmarking—recording the internet address of particular site allowing rapid return to a site of interest.

    • File server—central computer serving a network of different terminals.

    • Processor—the engine for the computer. In increasing order of speed these include 386, 486, Pentium, or MMX processors.

    • Smart cards—plastic cards, around the size of a credit card, containing detailed electronic information that can be read from and written to very readily via a computer.


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