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US 12,009,077 B2Granted
Apparatus and methods for assessing a readiness of a medical entity for providing pediatric patient care
OwnerAlana Jacqueline Arnoldinventor
Life of this patent
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Abstract
Provided in this disclosure are an apparatus and corresponding methods for assessing a readiness of a medical entity to provide care to a pediatric patient. A patient profile, a current expertise status, and an optimal expertise criterion may be inputted into a computing device to determine a real-time and/or continuous competency assessment of a medical entity.
Claims16
An apparatus for assessing a readiness of a medical entity to provide pediatric care, the apparatus comprising:
- at least a processor;
- and
- a memory communicatively connected to the at least a processor, the memory containing
- instructions configuring the at least a processor to:
- receive a pediatric patient profile of a patient;
- retrieve a current expertise status of a plurality of medical entities;
- obtain an optimal expertise criterion;
- identify a readiness score at various times of the day of each medical entity of the plurality of medical entities for patient care as a function of the pediatric patient profile, the current expertise status, and the optimal expertise criterion, wherein generating the readiness score comprises:
- receiving, by the processor, expertise training data, wherein the expertise training data comprises a plurality of current expertise statuses correlated with the readiness score;
- iteratively training by the processor, a readiness machine-learning model as a function of the expertise training data;
- and
- generating, by the processor, the readiness score as a function of the readiness machine-learning model;
- and
- determine a competency adjustment as a function of the readiness score and a preconfigured threshold when the readiness score is outside of the preconfigured threshold, wherein the preconfigured threshold includes a minimum readiness score necessary for the medical entity to care for the patient and the competency adjustment comprises at least one recommended action for the medical entity to increase the readiness score and determining the competency adjustment comprises:
- receiving, by the processor, competency training data, wherein the competency training data comprises the readiness score and the preconfigured threshold;
- training, by the processor, a competency machine-learning model as a function of the competency training data;
- determining, by the processor, the competency adjustment as a function of the competency machine-learning model;
- updating, by the processor, the competency training data as a function of the readiness score and the competency adjustment;
- retraining, by the processor, the competency machine-learning model as a function of the updated competency training data;
- and
- generate a recommendation score for each competency adjustment assigned to each medical entity of the plurality of medical entities as a function of the readiness score.
18 more elements
A method for assessing a readiness of a medical entity to provide pediatric care, the method comprising:
- receiving, by a processor, a pediatric patient profile of a patient;
- retrieving, by the processor, a current expertise status of a plurality of medical entities;
- obtain an optimal expertise criterion;
- identifying, by the processor, a readiness score at various times of the day of each medical entity of the plurality of medical entities for treating the patient as a function of the pediatric patient profile, the current expertise status, and the optimal expertise criterion, wherein generating the readiness score comprises:
- receiving, by the processor, expertise training data, wherein the expertise training data comprises a plurality of current expertise statuses correlated with the readiness score;
- iteratively training by the processor, a readiness machine-learning model as a function of the expertise training data;
- and
- generating, by the processor, the readiness score as a function of the readiness machine-learning model;
- and
- determining, by the processor, a competency adjustment as a function of the readiness score and a preconfigured threshold when the readiness score is outside of the preconfigured threshold, wherein the preconfigured threshold includes a minimum readiness score necessary for the medical entity to care for the patient and the competency adjustment comprises at least one recommended action for the medical entity to increase the readiness score and determining the competency adjustment comprises:
- receiving, by the processor, competency training data, wherein the competency training data comprises the readiness score and the preconfigured threshold;
- training, by the processor, a competency machine-learning model as a function of the competency training data;
- determining, by the processor, the competency adjustment as a function of the competency machine-learning model;
- updating, by the processor, the competency training data as a function of the readiness score and the competency adjustment;
- retraining, by the processor, the competency machine-learning model as a function of the updated competency training data;
- and
- generating, by the processor, a recommendation score for each competency adjustment assigned to each medical entity of the plurality of medical entities as a function of the readiness score.
14 more elements
Dependencies are inferred from the claim text.