Method and apparatus for optimizing constraint-based data
OwnerSuvas VAJRACHARYA, Candace L. CAPPS +4inventors
InventorsSuvas VAJRACHARYA, Candace L. CAPPS, Rahul VAIDYA, Shardul SARDESAI, Pelin DAMCI-KURT, Nirmal GOVIND
Life of this patent
Estimating the term…
Abstract
Embodiments of the technique disclosed include a computer-based system and method for creating schedules that matches total supply of clinicians with the projected demand in services as well as meet plurality of constraints that consists of scheduling rules and clinician availability/preferences of varying weighted values to ensure work-life balance and thereby avoid staff burnout. In some embodiments, the system predicts the demand in appointments and the capacity of clinicians based on past data, leading to greater accuracies for subsequent schedule creations.
Claims13
A computer implemented method, comprising:
- receiving, with a processor, over a plurality of channels:
- a plurality of date-varying projection on demand for appointments,
- profiles of clinician capacities comprising daily work templates with information on minute-by-minute projected productivity,
- rules or constraints with weighted priority values to ensure work-life balance and avoid clinician burnout;
- calculating, with the processor, the true daily capacity of a clinician that is accurate to the minute based on the default daily work template and overriding events comprising any of time-off, meetings, and travel-time that reduce the total capacity expressed in the default work template;
- identifying, with the processor, a plurality of constraints, arising from clinician preferences and demand/supply matching, associated with weighted values;
- causing, with the processor, at least one constraint to have a higher priority than other;
- generating, with the processor, a long-term, macro schedule having durations up to months or years, said schedule matching projected demand in appointments with supply in clinician capacity and accounting for the plurality of constraints associated with the weighted priority values.
A computer implemented method, comprising:
- receiving, with a processor, over a plurality of channels, an initial projection of daily demand for various types of appointments for future dates;
- receiving, with a processor, over a plurality of channels, actual appointments of various types for past dates;
- receiving with a processor, over a plurality of channels expected percentage increase or decrease in a number of appointments of various types for specified date ranges based on external factors comprising a change in demographics;
- projecting demand for appointments of various types based on past differences between projected demand and actual demand, along with expected percentage change using statistical inference and predictive analytics.
A computer implemented method, comprising:
- receiving, with a processor, over a plurality of channels, an initial projection of daily clinician capacity expressed in clinician work templates;
- receiving, with a processor, over a plurality of channels, actual appointments of various types serviced by clinicians for past dates;
- projecting clinician capacity for appointments of various types based on past differences between projected productivity and actual productivity along with expected percentage change using statistical inference and predictive analytics;
- and
- generating a schedule of daily work templates based on new projections for clinician capacity.
Dependencies are inferred from the claim text.