Mitigating disruptive effects of detected diminished working capacity
AssigneeInternational Business Machines Corporation
InventorAaron Michael Cohen
Life of this patent
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Abstract
A computer-implemented method comprising: receiving, by a computing device, prescription information for an individual identifying a medication and a condition; identifying, by the computing device, job roles impacted by the condition; identifying, by the computing device, job roles impacted by side effects of the medication; determining, by the computing device, that a working capacity of the individual is diminished by the condition or the side effects of the medication based on job roles of the individual; generating, by the computing device, mitigation instructions in response to the determining; and executing, by the computing device, the mitigation instructions.
Claims20
A computer-implemented method comprising:
- tracking, by a computing device, an effect of different medical conditions and side effects of medications on work capacity of different job roles over time using machine learning;
- generating, by the computing device, a look-up table identifying job roles impacted by the different medical conditions and side effects of medications based on the tracking, wherein the effect of the different medical conditions and the side effects of medications on work capacity are represented as numeric values in the look-up table indicating an individuals' level of diminished working capacity on a scale from slightly diminished to diminished to a point where the individual is entirely absent, and the numeric values are determined via the machine learning over time;
- updating, by the computing device, the look-up table over time using the machine learning based on continued tracking of the effect of different medical conditions and side effects of medical conditions on work capacity of different job roles over time;
- receiving, by the computing device, prescription information for an individual;
- applying, by the computing device, additional machine learning to infer a medical condition of the individual based on the prescription information;
- identifying, by the computing device, a first set of job roles impacted by the medical condition of the individual based on the look-up table;
- identifying, by the computing device, a second set of job roles impacted by side effects of the medication of the individual based on the look-up table;
- determining, by the computing device, that a working capacity of the individual is diminished by the medical condition of the individual or the side effects of the medication of the individual based on a comparison of the first set of job roles and second set of job roles with one or more job roles of the individual;
- determining, by the computing device, an extent to which the working capacity of the individual is diminished based on the numeric values in the look-up table, thereby determining an extent of diminished work capacity of the individual;
- determining, by the computing device, a predicted time period for the diminished work capacity of the individual based on the extent of the diminished work capacity and the look-up table;
- generating, by the computing device, mitigation instructions in response to the determining the working capacity of the individual is diminished and the predicted time period for the diminished work capacity;
- and
- automatically executing, by the computing device, the mitigation instructions, including automatically changing out of office settings in an email system of the individual based on the predicted time period for the diminished work capacity.
Dependencies are inferred from the claim text.