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A computerised ward monitoring system based on Archimedes PC's at each bedside is under development for the PICU at Killingbeck Hospital in Leeds. This work was initiated with a view to reducing the amount of paperwork in the unit. The present paper charts have been broken down into sections for the purpose of entry into the computer. The completed charts may be viewed in tabular form. There are several alternative displays. The default display mode illustrates the patients principal cardiovascular variables over the previous six hours. Alternative graphical displays include 12 hour trend curves for the cardiovascular variables, a screen with one hour trend graphs and panels illustrating the latest values of other patient variables, and graphical 12 hour reviews for clear fluid balance, blood volume balance and respiratory variables. The program also serves as a vehicle for testing an alarm generating system and a cardiovascular status index in the paediatric environment. A separate program has been developed which allows the retrospective construction of data bases by using some or all of the data from one or more of the charts for a series of patients. Finally the difficulties encountered in preliminary trials of the system are discussed. At the present time the program is being run at a central station while attempts are being made to surmount these difficulties.

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The use of a high reliability cardiac arrest alarm utilising the continuously monitored values of patient heart rate and mean arterial blood pressure is described, based on a sample of 167 patients monitored for a total of 5116 h. The analogue heart rate and mean blood pressure signals are sampled at 1 s intervals, and a smoothing algorithm is applied to each of the resulting series which rejects artefacts, and identifies slope and step changes in each. Certain combinations of events in the 2 series, occurring within a preset time window, determine whether a cardiac arrest alarm or warning signal should be activated by the system. A total of 30 acute events occurring in 14 patients during the course of the study were each identified within 10 s. No cardiac arrest event was misdiagnosed by the algorithm during the period of the study. The algorithm also generates warnings which may have predictive value, and which will be the subject of further research. A final false alarm rate of about 1/200 h of monitoring was observed in adults (1/50 h in children), with evidence that these rates could be substantially improved.

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We describe a technique for the insertion of a left atrial pressure monitoring line during open heart operations in infants. The procedure requires central venous cannulation with a long catheter, followed by intraoperative placement of the catheter tip through the interatrial septum into the left atrium. The technique has been used successfully in 35 infants.

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16 experienced ICU nurses monitored simulated central station VDU displays for the occurrence of ectopic beats and for signs of deterioration in general cardiovascular status. Each period of monitoring lasted for 1 h, and on separate occasions each nurse monitored 1, 2, 4 or 6 displays simultaneously. As the number of observed screens increased, performance declined significantly, with reduced identifications of discrete events (e.g., ectopic beat detections), and with increased delays in determining a deterioration in cardiovascular status; in addition, a secondary task was less accurately and efficiently performed, and the nurses tended to become increasingly fatigued. Efficient observing was maintained over the 1 h monitoring period, but only at considerable cost in terms of fatigue and a loss of alertness. The results suggest that there may be restrictions in the use of complex central station facilities at first-line observation posts for patient care.

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16 experienced ICU nurses monitored simulated central station VDU displays for the occurrence of ectopic beats and for signs of deterioration in general cardiovascular status. Each period of monitoring lasted for 1 h, and on separate occasions each nurse monitored 1, 2, 4 or 6 displays simultaneously. For primary clinical tasks, the data showed that the nurses' performance improved with each test. The identification of ventricular ectopic beats (VEBs) improved within the 1 h of each test except when 6 screens were being viewed simultaneously, with a similar result for the identification of deterioration of cardiovascular status. The nurses showed a marked preference for analogue signals over digits for the identification of VEBs. The highest priority clinical task was the identification of deteriorating cardiovascular status. When this task was performed efficiently less attention was given to minor tasks, and the nurse rated herself as very tired.

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For a selected group of 17 patients following cardiac surgery, 33 discrete elements of nursing workload have been defined, and the nurse's bedside activities logged at 1 min intervals throughout the 24 h immediately following the patient's return from the operating theatre. It is possible to identify three broad types of activity undertaken by the bedside nurse; technical nursing care (Type 1), intermittent nursing care (Type 2), and the balance of the nurse's time, largely concerned with observation and liaison with other staff--learning activities (Type 3). The time devoted to technical nursing care reduces significantly over the patient's first 24 h in the ward. On the other hand the time devoted to intermittent nursing care and learning activities is shown to be shift dependent. The effect of the efficient utilisation of computer technology is estimated, and it is demonstrated that the implementation of such technology would result in the expansion of the time available for the nurse to observe the patient. The potential benefits and drawbacks of this are discussed.

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Algorithms have been developed for monitoring the cardiovascular status of patients on their return to an intensive care unit after cardiac surgery and also for giving an immediate alarm of a critical deterioration in this status. The two systems for implementing these algorithms were initially developed on Z80 based microprocessor systems and preliminary clinical trials based on the resulting instruments proved encouraging. For further clinical trials of the algorithms the systems have been integrated and implemented on a BBC microcomputer with a 6502 second processor. The development and structure of the programs for implementing the algorithms are described, together with the program input and output facilities and diagnostic techniques used to analyse the information output from the program.

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For a selected group of 17 patients following cardiac surgery, 33 discrete elements of nursing workload have been defined. It was possible to identify 3 broad types of activity undertaken by the bedside nurse; technical nursing care (Type 1), intermittent nursing care (Type 2), and learning activities (Type 3). The latter is the balance of the nurses time which is largely concerned with observation and liaison with other staff. The 17 patients comprised 4 groups of pathologies, 2 each representative of the adult and paediatric workload. The primary bedside nurse performs virtually all of the Type 1 activities, recruiting the assistance of a secondary nurse principally to change the patients' posture (a Type 2 activity). The only practically significant period of time spent by the secondary nurse is in clinical discussion with the bedside nurse, largely at change of shift. Statistically significant differences in bedside nursing activities between age groups can be explained by the relative physical size of the patients and equipment. However the nurse maintains a higher level of awareness with shorter periods of inattention when nursing children. A greater number of significant differences between pathologies were found within the paediatric group of patients; this may indicate that a broader spectrum of such differences is to be found in this age group. An estimate was made of the impact of computer technology on the nurse's bedside workload.

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The introduction of sophisticated microprocessor-based instruments into the intensive care environment promises to relieve clinical staff of many routine duties and to provide more time for patient observation. A recent English survey investigates how much time can actually be saved thereby, and in what kinds of duties, and offers ideas on how to maintain clinical awareness when data logging has been automated.

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Sets of the most commonly monitored cardiovascular data have been collected retrospectively in four categories of patients following cardiac surgery: survivors and non-survivors with and without inotropic support. A data set was recorded in the surviving categories when the patient had achieved an optimum cardiovascular state, and in the nonsurviving categories 2 h before death. Three statistical methods of discriminating between the categories are compared. The best discriminants of cardiovascular status are peripheral skin temperature, mean arterial blood pressure, and urine output; there is little to be gained by using more than three variables. A method is suggested of reducing the relevant information in cardiovascular data to a single variable which can be used to predict future status.

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CPAP is a technique of respiratory care which was originally described in the management of the respiratory distress syndrome of the newborn and later in the post operative management of the cardiac infant following surgery. It has potential value in the respiratory management of older children and adults. Apparatus is described suitable for the application of continuous airway pressure during spontaneous ventilation via endotracheal tube in either neonates or adults. The inspired oxygen content is adjustable and the fresh gas warmed and humidified. High and low pressure alarms are not considered necessary. A head-harness is described for the application of CPAP in neonates via twin nasal or nasopharyngeal tubes. This equipment may be obtained from Messrs. Lusterlite Products Limited, 56 Devon Road, Leeds 2.

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