Casey Bennett

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RxNorm was utilized as the basis for direct-capture of medication history data in a live EHR system deployed in a large, multi-state outpatient behavioral healthcare provider in the United States serving over 75,000 distinct patients each year across 130 clinical locations. This tool incorporated auto-complete search functionality for medications and proper(More)
Electronic health records (EHR’s) are only a first step in capturing and utilizing health-related data the problem is turning that data into useful information. Models produced via data mining and predictive analysis profile inherited risks and environmental/behavioral factors associated with patient disorders, which can be utilized to generate predictions(More)
Objectives: Electronic health records (EHRs) are only a first step in capturing and utilizing health-related data – the challenge is turning that data into useful information. Furthermore, EHRs are increasingly likely to include data relating to patient outcomes, functionality such as clinical decision support, and genetic information as well, and, as such,(More)
Mitochondrial hypervariable region I genetic data from ancient populations at two sites from Asia, Linzi in Shandong (northern China) and Egyin Gol in Mongolia, were reanalyzed to detect population affinities. Data from a total of 51 modern populations were used to generate distance measures (Fst’s) to the two ancient populations. The tests first analyzed(More)
The CDOI outcome measure – a patient-reported outcome (PRO) instrument utilizing direct client feedback – was implemented in a large, real-world behavioral healthcare setting in order to evaluate previous findings from smaller controlled studies. PROs provide an alternative window into treatment effectiveness based on client perception and facilitate(More)
Purpose: This goal of this study was to evaluate the effects of a data-driven clinical productivity system that leverages Electronic Health Record (EHR) data to provide productivity decision support functionality in a real-world clinical setting. The system was implemented for a large behavioral health care provider seeing over 75,000 distinct clients a(More)
Mitochondrial DNA from 14 archaeological samples at the Ural State University in Yekaterinburg, Russia, was extracted to test the feasibility of ancient DNA work on their collection. These samples come from a number of sites that fall into two groupings. Seven samples are from three sites, dating to the 8th-12th century AD, that belong to a northern group(More)
Temporal modeling holds great promise for healthcare, where treatment decisions must be made over time, and where continually re-evaluating ongoing treatment is critical to optimizing clinical care for individual patients. Tremendous advances have been made in data mining and temporal modeling of healthcare data, but practical challenges exist in moving(More)
An empirical investigation of the interaction of sample size and discretization – in this case the entropy-based method CAIM (Class-Attribute Interdependence Maximization) – was undertaken to evaluate the impact and potential bias introduced into data mining performance metrics due to variation in sample size as it impacts the discretization process. Of(More)