Method, device and computer program product for determining an indicator of generator clinical state

Abstract

A method, device, and computer program product for determining a clinical index indicative of a general clinical state of a subject in terms of planned care are disclosed. A set of physiological parameters determined from the subject is selected (23) for the type of care to be applied to the subject. A targeted value range is attached (25) to each physiological parameter belonging to the set and a general condition index of the subject is determined (26) as a function of two integers, where the integers belong to a group including (i) the number of physiological parameters of the set that are currently within respective targeted value ranges, (ii) the number of physiological parameters of the set that are currently outside respective targeted value ranges, and (iii) the total number of physiological parameters in the set of physiological parameters.

Description

technical field [0001] Generally, the present disclosure relates to patient monitoring. More specifically, the present invention relates to determining an indicator of a patient's general clinical state in terms of planned care and which can be used to assess the patient's clinical readiness or need for planned care interventions time guide. Background technique [0002] Patient monitors are electronic devices designed to display physiological information about a subject. Electrocardiogram (ECG), electroencephalogram (EEG), plethysmographic signals, and signals related to blood pressure, temperature, and respiration represent typical physiological information contained in standard-sized patient monitors. Patient monitors are also typically equipped with alarm functionality to notify caregivers when a patient's vital signs or physiological parameters exceed or drop below preset limits. Alerts are usually audible and visual effects aimed at informing personnel about a life-...

AI Technical Summary

Problems solved by technology

[0005] Another disadvantage associated with current patient monitor systems is that individual sensor alerts and combined indicators are designed to monitor critical events that are more or less sudden in nature

Thus, current patient monitoring systems are capable of detecting such events, but fail to reflect more general, albeit small and / or slow, deterioration or improvement in the patient's general clinical condition

Specifically, current patient monitor systems do not provide descriptive indications to assist personnel in determining when a patient's general clinical status has improved sufficiently to proceed to the next phase of planned care

As a result, current patient monitoring systems do not support personnel in determining when a patient is ready for a new phase of treatment

Furthermore, clinical decision support systems are complex and costly due to embedded diagnostic intelligence, and it would be desirable to provide common patient monitors with only modest computing power, and thus modest cost, with the common functionality of tracking patients in planning care. Capacity for slow and / or small changes in clinical status

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