Patent ID: 11942222
Assignee: ZOLL MEDICAL CORPORATION
Field: Medical technology (Instruments)
Classification: CPC G  A | IPC A  G

Claim 23:
24. A medical device for assessing patient deterioration comprising:
a memory storing data identifying
a plurality of presentable clinical conditions,
an indication, for each presentable clinical condition of the plurality of presentable clinical conditions, of whether the presentable clinical condition was presented to a healthcare provider,
a plurality of predictive risk assessment processes associated with the plurality of presentable clinical conditions, and
a corresponding plurality of clinical criteria associated with the plurality of predictive risk assessment processes; and

at least one processor operably coupled to the memory, the at least one processor being configured to
at least one of automatically determine and receive initial patient assessment data identifying a first clinical condition of a patient from the plurality of presentable clinical conditions, wherein the first clinical condition has associated therewith a first benchmark trajectory,
receive electrocardiogram (ECG) signals from a plurality of sensing electrodes coupled to the patient,
generate ECG data over a predetermined period of time based on the ECG signals,
receive physiologic signals from one or more physiologic sensors coupled to the patient, wherein the physiologic signals are distinct from the ECG signals,
generate physiologic data over the predetermined period of time based on the physiologic signals,
store the ECG data, the physiologic data, and the initial patient assessment data in a vector,
update a first portion of the vector continuously, update a second portion of the vector periodically, and update a third portion of the vector in response to one or more of admission to a first healthcare facility, transfer between locations within the first healthcare facility, transfer from the first healthcare facility to a second healthcare facility, or transfer from a first location to a second location,
execute a first predictive risk assessment process associated with the first clinical condition based on data acquired from the plurality of sensing electrodes, data acquired from the one or more physiologic sensors, and the initial patient assessment data to generate a first plurality of risk estimates of the first clinical condition of the patient,
determine a first observed trajectory of the first clinical condition of the patient over a first upcoming time period based on all or a portion of the ECG signals, the physiologic signals, and the initial patient assessment data, the first upcoming time period comprising at least one of within less than 1 hour, within 1-2 hours, within 2-4 hours, within 4-6 hours, within 6-8 hours, within 8-12 hours, or within 12-24 hours,
evaluate a first degree of similarity between the first observed trajectory and the first benchmark trajectory associated with the first clinical condition,
evaluate a second degree of similarity between the first observed trajectory and a second benchmark trajectory associated with a second clinical condition,
make a determination that the second degree of similarity is greater than the first degree of similarity,
execute a second predictive risk assessment process associated with the second clinical condition based on data acquired from the plurality of sensing electrodes and data acquired from the one or more physiologic sensors to generate a second plurality of risk estimates of the second clinical condition of the patient, wherein executing the second predictive risk assessment process includes executing a recursive process that comprises a plurality of loops, each loop of the plurality of loops tracking actual patient parameter values, and generating predicted patient parameter values, wherein each loop of the recursive process is associated with a distinct patient parameter and a corresponding distinct update period,
determine a second observed trajectory of the second clinical condition of the patient over a second upcoming time period based on all or a portion of the ECG signals and the physiologic signals, the second observed trajectory comprising at least one predictive value in accordance with the second predictive risk assessment process,
make a determination that the patient is likely to require emergency medical intervention within the first upcoming time period or the second upcoming time period based on one or more of (a) the first observed trajectory being outside clinical criteria associated with the first clinical condition and (b) the second observed trajectory being outside clinical criteria associated with the second clinical condition, and
after making the determination that the patient is likely to require emergency medical intervention
execute a neurological assessment of the patient, the neurological assessment comprising prompting the patient to respond, via a user interface, to a tactile or audio signal,
generate a notification indicating a likelihood that the patient will require emergency medical intervention within the first upcoming time period or the second upcoming time period, wherein the notification identifies one or more of the first clinical condition or the second clinical condition,
display the notification on the user interface, and
transmit the notification to a remote device.