Detecting surgical phases and/or interventions

Abstract

Surgical monitoring techniques detect surgical contexts, such as induction, intubation, preparation and positioning, incision, maintenance, emergence, recovery, and / or therapy administration based on information received from a patient monitor and / or other medical equipment, which can be compared to predetermined data patterns, which can be based on heuristic or statistical classifications. With detectors and / or controllers operating in conjunction therewith and in various combinations thereof, responses can also be invoked and / or also overridden.

Description

FIELD OF INVENTION[0001]In general, the inventive arrangements relate to patient monitoring, and more specifically, to monitoring patient data in various surgical contexts to detect surgical phases and / or surgical interventions.BACKGROUND OF INVENTION[0002]During the course of a surgical procedure (e.g., liver transplant, heart surgery, etc.), patients are subjected to numerous surgical phases and / or interventions as part of the surgery. For example, in any given surgical procedure, these may include one or more of the following: i) induction, ii) intubation, iii) preparation and positioning, iv) incision, v) maintenance, vi) emergence, vii) recovery, and / or viii) therapy administration, etc.[0003]These surgical phases and interventions are well-known. For example, referring in general terms, induction commonly involves administering intravenous and / or inhalational anesthetic agents to a patient in order to induce a relaxed or sleepy condition and / or relieve pain in the patient prio...

AI Technical Summary

Problems solved by technology

In practice, clinicians seldom adjust these alarms from patient to patient, and they may be even less likely to adjust them from phase to phase during a particular surgery.

For example, a heart rate of 50 beats / minute may be acceptable during maintenance, but it might be abnormally low during or after emergence.

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