Autonomous drug delivery system

US2018317841A1 · US · A1

Patent metadata
FieldValue
Publication numberUS-2018317841-A1
Application numberUS-201815909359-A
CountryUS
Kind codeA1
Filing dateMar 1, 2018
Priority dateJan 28, 2014
Publication dateNov 8, 2018
Grant date

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  1. Title

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  2. Abstract

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  3. Assignees and inventors

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  4. Key dates

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  5. First independent claim

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  6. CPC / IPC classifications

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  7. Citations and related patents

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Abstract

Official abstract text for this publication.

An autonomous drug delivery system advantageously utilizes physiological monitor outputs so as to automatically give a bolus of a rescue drug or other necessary medication when certain criteria and confidence levels are met. An emergency button is provided to manually trigger administration of the rescue drug. The rescue drug may be an opioid antagonist in response to an analgesia overdose, a hypotensive drug to avert an excessive drop in blood pressure or an anti-arrhythmia drug to suppress abnormal heartbeats, to name a few.

First claim

Opening claim text (preview).

What is claimed is: 1 . An automated first responder method, the method comprising: under control of a hardware processor, receiving patient data comprising a plurality of physiological parameter values, at least some of the physiological parameter values derived from physiological signals obtained from one or more physiological sensors coupled with a patient; analyzing the patient data to determine whether the patient data matches at least one of a plurality of diagnostic models represented in computer memory, each diagnostic model representing a possible diagnoses of a different condition and resulting in administration of a different drug; determining that the patient data matches the at least one diagnostic model; responsive to said determining, initiating a treatment workflow comprising automatically administering a substance to the patient; subsequent to said administering, determining that the patient data again matches the diagnostic model; and responsive to said determining that the patient data again matches the diagnostic model, sending an alert to a clinician over a hospital network, the alert indicating that an additional amount of the substance may be necessary for the patient. 2 . The method of claim 1 , wherein said receiving the patient data further comprises receiving lab data. 3 . The method of claim 2 , wherein the lab data comprises data representing a white blood cell count. 4 . The method of claim 1 , wherein said analyzing the patient data comprises identifying a trend in the physiological parameter values and determining whether the trend corresponds with predetermined trends in the diagnostic model. 5 . The method of claim 1 , wherein said determining that the patient data matches the diagnostic model comprises identifying a decrease in one of the physiological parameter values and an increase in another one of the physiological parameter values. 6 . The method of claim 1 , wherein the diagnostic model represents one of the following: an opioid overdose diagnostic model, a hypovolemia diagnostic model, or a sepsis diagnostic model. 7 . The method of claim 6 , wherein the opioid overdose diagnostic model corresponds to a decrease in respiratory rate, a decrease in heart rate, and a decrease in blood pressure. 8 . The method of claim 7 , wherein the substance comprises naloxone. 9 . The method of claim 6 , wherein the hypovolemia diagnostic model corresponds to a decrease in blood pressure, an increase in heart rate, and stability in hemoglobin level. 10 . The method of claim 9 , wherein the substance comprises saline. 11 . The method of claim 6 , wherein the sepsis diagnostic model corresponds to a decrease in blood pressure, an increase in white blood cell count, and an increase in temperature. 12 . The method of claim 11 , wherein initiating the workflow further comprises one or more of the following: alerting a clinician, ordering a lab test, ordering a drug, and ordering a radiology test. 13 . An automated first responder system, the system comprising: a patient monitor comprising a hardware processor configured to derive physiological parameter values from physiological signals obtained from one or more physiological sensors coupled with a patient; and an autonomous delivery device in communication with the patient monitor, the autonomous delivery device comprising at least one substance; the hardware processor configured to: analyze the physiological parameter values to determine whether the physiological parameter values correspond with a diagnostic model; determine that the physiological parameter values correspond with the diagnostic model; responsive to said determination, initiate a treatment workflow that automatically administers a substance to the patient from the autonomous delivery device; subsequent to said administration, determine that the physiological parameter values again match the diagnostic model; and responsive to said determination that the physiological parameter values again match the diagnostic model, send an alert to a clinician over a hospital network, the alert indicating that an additional amount of the substance may be necessary for the patient. 14 . The system of claim 13 , wherein said analyzing the patient data comprises identifying a trend in the physiological parameter values and determining whether the trend corresponds with predetermined trends in the diagnostic model. 15 . The system of claim 13 , wherein the diagnostic model represents one of the following: an opioid overdose diagnostic model, a hypovolemia diagnostic model, or a sepsis diagnostic model. 16 . The system of claim 15 , wherein the opioid overdose diagnostic model corresponds to a decrease in respiratory rate, a decrease in heart rate, and a decrease in blood pressure. 17 . The system of claim 16 , wherein the substance comprises naloxone. 18 . The system of claim 15 , wherein the hypovolemia diagnostic model corresponds to a decrease in blood pressure, an increase in heart rate, and stability in hemoglobin level. 19 . The system of claim 18 , wherein the substance comprises saline. 20 . The system of claim 15 , wherein the sepsis diagnostic model corresponds to a decrease in blood pressure, an increase in white blood cell count, and an increase in temperature. 21 . The system of claim 20 , wherein initiating the workflow further comprises one or more of the following: alerting a clinician, ordering a lab test, ordering a drug, and ordering a radiology test. 22 . An automated first responder system, the system comprising: a patient monitor comprising a hardware processor configured to derive physiological parameter values from one or more physiological signals obtained from one or more physiological sensors coupled with a patient; and an autonomous delivery device in communication with the patient monitor, the autonomous delivery device comprising a substance; the hardware processor programmed to: analyze the physiological parameter values to determine that the physiological parameter values correspond with a diagnostic model; output an alarm based on the determination that the physiological parameter values correspond with the diagnostic model; determine that a response to the alarm has not been received within a predetermined time period; and cause the substance to be administered to the patient subsequent to the determination that a response to the alarm has not been received within the predetermined time period. 23 . The system of claim 22 , wherein the hardware processor is further programmed to, subsequent to causing the substance to be administered to the patient: derive second physiological parameter values; determine that the second physiological parameter values also correspond with the diagnostic model; and responsive to said determination that the second physiological parameter values match the diagnostic model, output a second alarm indicating that an additional amount of the substance may be necessary for the patient. 24 . The system of claim 22 , wherein the diagnostic model represents one of the following: an opioid overdose diagnostic model, a hypovolemia diagnostic model, or a sepsis diagnostic model.

Assignees

Inventors

Classifications

  • A61B5/4839Primary

    combined with drug delivery · CPC title

  • Measuring pressure in heart or blood vessels · CPC title

  • Human Necessities · mapped topic

  • Means for controlling media flow to the body or for metering media to the body, e.g. drip meters, counters {; Monitoring media flow to the body (flow control in general G05D7/00)} · CPC title

  • delivered via infusion or injection · CPC title

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What does patent US2018317841A1 cover?
An autonomous drug delivery system advantageously utilizes physiological monitor outputs so as to automatically give a bolus of a rescue drug or other necessary medication when certain criteria and confidence levels are met. An emergency button is provided to manually trigger administration of the rescue drug. The rescue drug may be an opioid antagonist in response to an analgesia overdose, a h…
Who is the assignee on this patent?
Masimo Corp
What technology area does this patent fall under?
Primary CPC classification A61B5/4839. Mapped technology areas include Human Necessities.
When was this patent published?
Publication date Thu Nov 08 2018 00:00:00 GMT+0000 (Coordinated Universal Time) (A1). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).