System and method to schedule resources in delivery of healthcare to a patient

A method to schedule a plurality of resources in delivery of healthcare to a plurality of patients, the method comprising the steps of:

• identifying an availability of one or more of the resources to deliver the healthcare to each of the plurality of patients;
• calculating a predicted duration to deliver the healthcare to each of the patients;
• calculating a schedule including at least one block of time dependent on the predicted duration for at least one of the plurality of resources to deliver healthcare to one or more of the patients, the at least one block of time including a start time and an end time;
• calculating a confidence level in the schedule, the confidence level including at least one of a probability that the at least one resource will not be available for the at least one block of time of the schedule or a likelihood that the at least one resource will be available for the at least one block of time in the schedule;
• wherein the step of calculating the confidence includes creating a cumulative probability density function generated from historical data of availability of one or more of the plurality of resources in delivery of healthcare and accumulating the composite effects of durations of previous tasks in the schedule in a causal relationship captured in a constraints based relationship;
• outputting the schedule and the confidence level in the schedule;
• and
• tracking a location of one or more of the plurality of resources or at least one of the plurality of patients via an optical tracking system operable to perform computer-aided recognition of an acquired digital image of the one or more of the plurality of resources.

An article of manufacture comprising:

• at least one machine readable medium;
• and
• a plurality of computer readable instructions stored on the at least one machine readable medium for execution by a processor, the plurality of computer readable instructions representative of the following steps:
• identifying an availability of one or more of a plurality of resources to deliver healthcare to each of a plurality of patients,
• calculating a predicted duration to deliver the healthcare to each of the patients,
• calculating a schedule including at least one block of time dependent on the predicted duration for each the plurality of resources to deliver the healthcare to one or more of the patients, the at least one block of time including a start time and an end time,
• calculating a confidence level in the schedule, the confidence level including at least one of a probability that at least one of the resources will not be available for the at least one block of time of the schedule or a likelihood that at least one of the resources will be available for the at least one block of time in the schedule;
• wherein the step of calculating the confidence includes creating a cumulative probability density function generated from historical data of availability of one or more of the plurality of resources in delivery of healthcare and accumulating the composite effects of durations of previous tasks in the schedule in a causal relationship captured in a constraints based relationship;
• and
• outputting the schedule and the confidence level in the schedule.