SYSTEM AND METHOD FOR HEALTHCARE SERVICE DATA ANALYSIS
First Claim
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1. An iterative method for analyzing healthcare delivery data, comprising:
- generating a dynamic model describing a healthcare delivery process and a static model describing a patient pool;
jointly analyzing both the dynamic model and the static model to determine one or more interactions between one or more subgroups of the patient pool and the healthcare delivery process; and
modifying or monitoring the healthcare delivery process based on the one or more interactions to address the one or more interactions determined to exist for the one or more subgroups.
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Abstract
Certain embodiments of the present disclosure describe the combined analysis of dynamic models and static models generated as part of a healthcare delivery process. Based on the combined analysis, As-Is and variation models (each having dynamic and static components) are generated. In one embodiment, the As-Is model components may be used in strategic planning. Likewise, in one embodiment, the variation model components may be used to derive respective dynamic and static quality metrics that may be used in report and control processes applied to the healthcare delivery process.
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Citations
20 Claims
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1. An iterative method for analyzing healthcare delivery data, comprising:
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generating a dynamic model describing a healthcare delivery process and a static model describing a patient pool; jointly analyzing both the dynamic model and the static model to determine one or more interactions between one or more subgroups of the patient pool and the healthcare delivery process; and modifying or monitoring the healthcare delivery process based on the one or more interactions to address the one or more interactions determined to exist for the one or more subgroups. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A method for analyzing healthcare delivery data, comprising:
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providing a dynamic model and a static model as an input; analyzing the dynamic model to identify constraints or sources of error in a healthcare delivery process; analyzing the static model to identify one or more patient subgroups that fail to conform to a statistical expectation; deriving an estimated As-Is model and an estimated variation model based on the analysis of the dynamic model and the analysis of the static model; evaluating the As-Is model and the variation model for interactions between the one or more patient subgroups and the healthcare delivery process; and updating the As-Is model and the variation model if interactions are identified. - View Dependent Claims (12, 13, 14, 15, 16)
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17. One or more non-transitory computer-readable media, the computer-readable media comprising one or more routines which, when executed by a processor, perform acts comprising:
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analyzing a dynamic model and a static model to generate an As-Is model and a variation model each having dynamic and static components; and modifying or monitoring a healthcare delivery process based on the dynamic and static components of one or both of the As-Is model and the variation model. - View Dependent Claims (18, 19, 20)
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Specification