45 coding-"Multiple"-"Integreat--Norwegian-Centre-for-Knowledge-driven-Machine-Learning" positions at Stony Brook University
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changes to the appropriate queues for multiple different vendors and inhouse staff, for up to 150- 200 cases a day Placing diagnosis codes on all Emergency Medical Transfers (Ambulance) accounts Responsible
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changes to the appropriate queues for multiple different vendors and inhouse staff, for up to 150- 200 cases a day Placing diagnosis codes on all Emergency Medical Transfers (Ambulance) accounts Responsible
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to the appropriate queues for multiple different vendors and inhouse staff, for up to 150- 200 cases a day Placing diagnosis codes on all Emergency Medical Transfers (Ambulance) accounts Responsible for running daily
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, budgeting, project development, and/or a related field. Three (3) years of supervisory experience. Knowledge of Building and Fire Codes. Knowledge of and experience working with construction management
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, budgeting, project development, and/or a related field. Three (3) years of supervisory experience. Knowledge of Building and Fire Codes. Knowledge of and experience working with construction management
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with the Resource Utilization Groups (RUGS) methodology; prepares, as required by nursing home code and federal OBRA regulations, the admissions portion of the minimum data set based on the Patient
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accordance with the Resource Utilization Groups (RUGS) methodology; prepares, as required by nursing home code and federal OBRA regulations, the admissions portion of the minimum data set based on the Patient
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accordance with the Resource Utilization Groups (RUGS) methodology; prepares, as required by nursing home code and federal OBRA regulations, the admissions portion of the minimum data set based on the Patient
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acquiring data from multiple sources, assisting team members with data modeling, extraction, translation and load patterns that will be used throughout the reporting enterprise. The candidate will also work
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acquiring data from multiple sources, assisting team members with data modeling, extraction, translation and load patterns that will be used throughout the reporting enterprise. The candidate will also work