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

Claim 13:
14. 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;

a plurality of sensing electrodes configured to couple externally to a skin of a patient and to acquire electrocardiogram (ECG) signals;
one or more physiologic sensors distinct from the plurality of sensing electrodes and configured to couple externally to the patient and configured to acquire one or more physiologic signals distinct from the ECG signals;
a user interface configured to display prompts to a user of the medical device and receive initial patient assessment data from a caregiver; and
a housing comprising
the memory,
the user interface, and
at least one processor coupled to the memory, the plurality of sensing electrodes, the user interface, and the one or more physiologic sensors, the at least one processor being configured to
generate ECG data over a predetermined period of time based on the ECG signals,
generate physiologic data over the predetermined period of time based on the one or more physiologic signals,
at least one of automatically determine and receive the initial patient assessment data identifying a first clinical condition of the patient from the plurality of presentable clinical conditions,
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 at first predetermined intervals of time based on the ECG signals, the one or more physiologic signals, and the initial patient assessment data to generate a first plurality of risk estimates of the first clinical condition of the patient,
determine an observed trajectory of the patient over a first upcoming time period based on all or a portion of the ECG signals, the one or more physiologic signals, and the initial patient assessment data, the observed trajectory comprising at least one first predictive value in accordance with the first predictive risk assessment process,
evaluate a degree of similarity between the observed trajectory and each of a plurality of benchmark trajectories, wherein each of the benchmark trajectories is associated with one of the plurality of presentable clinical conditions other than the first clinical condition,
identify a second clinical condition associated with a particular one of the plurality of benchmark trajectories, wherein the degree of similarity between the observed trajectory and the particular benchmark trajectory exceeds a threshold similarity,
execute a second predictive risk assessment process associated with the second clinical condition of the patient at second predetermined intervals of time 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,
make a determination that the patient is likely to require emergency medical intervention based on at least one of (a) the observed trajectory being outside clinical criteria associated with the first clinical condition and (b) the 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 the user interface, to a tactile or audio signal,
generate a notification indicating a likelihood that the patient will require emergency medical intervention, 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.