Data management system for tracking and optimizing medical clinical performance
AssigneeFirefly Lab, LLC
InventorsJonathan Lee Jesneck, Ruchi Mrugesh Thanawala
Life of this patent
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Abstract
The present invention relates to a web-based platform to track medical clinical assignments and to link embedded evaluation instruments to procedure type, for the optimization and improvement of medical clinical education and performance for healthcare professions, and in particular for graduate residents, such as surgical residents. This model is the basis for the platform for physician scoring and profiling to determine physician educational and performance competency with a selected medical procedure. The invention provides methods and systems for improving or optimizing performance tracking of a medical professional.
Claims8
A web-based data management platform for accelerating the acquisition of a requisite skill level for a healthcare professional and providing users of the platform with real-time skill acquisition ranking information of each healthcare professional, the platform comprising:
- a computer, a server or data storage system, a user interface, a non-transitory computer readable medium storing computer program instructions, software for analyzing the input data and providing an output, and a data array, wherein the platform is configured to perform acts comprising:
- a) acquiring updated data from disparate systems of a preselected set of tasks, a list of completed tasks for a healthcare professional, evaluations of task performance for the healthcare professional, and a clinical schedule that defines the tasks available to be performed by the healthcare professional, wherein the updated data acquired is in a non-standardized format;
- b) converting the acquired data into a standardized data format;
- c) statistically modeling the professional's progress in acquiring the requisite skill level based on the standardized acquired data, the method of statistical modeling comprising the steps of:
- performing a Markov Chain Monte Carlo (MCMC) statistical sampling method calculation from distributions of relevant parameters for each of a peer group of subordinate healthcare professionals and associated supervisory healthcare professionals for each task in step a), and based thereupon
- estimating a posterior distribution of learning curve parameters of each subordinate healthcare professional for each step of each task in step a),
- d) comparing the statistical model of the professional's progress to a preselected set of standards to rank the healthcare professional versus the standards and providing that rank to users via the user interface so that each user has real-time access to up-to-date ranking information;
- e) integrating the standardized acquired data into a workflow that efficiently allocates the tasks available and simultaneously facilitates the acquisition of the requisite skill level by the healthcare professional;
- and
- f) prescribing a next task to be performed to by the healthcare professional according to the workflow and the statistically modeled progress of the professional.
Dependencies are inferred from the claim text.