Clinicians and hospital administrators are increasingly challenged to achieve efficient evidence-based care. Clinical decision support (CDS) tools are being introduced into the clinical setting to facilitate the bridging of knowledge gaps at the point of care. Order sets are one of the tools used to facilitate this knowledge translation. Using the realist review methodology and a focus group of interview participants, this thesis explored retrospectively some of the causal relationships that lead to effective and successful order set adoption. Findings demonstrate the need for in-depth and regular review of context and order set adoption. Technology can offer some enhancements in the form of delivery tools, but it also introduces new and complex challenges for development and implementation. Ongoing software development is needed to improve delivery formats as well as incorporate effective tools to allow for efficient continuous quality improvement supports. / Graduate / 0769 / 0566 / hallsm.77@gmail.com

Venous thromboembolism (VTE) is a serious health concern of patients undergoing orthopedic surgery. Analysis of the study site semiannual reports from January 2014 through March 2015 indicated 10 VTE events in 546 orthopedic cases. The community hospital was classed as an outlier performing in the bottom 10th percentile when compared to other hospitals. To standardize the ordering of VTE prophylaxis, the hospital developed a postoperative electronic VTE order set. The purpose of this project was to assess the difference in orthopedic VTE occurrences in the postoperative total hip arthroplasty (THA) patients before and after the implementation of the electronic VTE order set. The goal of the project was to use an electronic retrospective chart review to evaluate if the order set implementation influenced the adherence to ordering mechanical and pharmacological prophylaxis in the THA patient. Differences in the ordering of VTE prophylaxis and VTE outcomes were evaluated using a retrospective review of 325 preimplementation order set cases and 406 postimplementation order set cases. This evaluation demonstrated that appropriate pharmacological prophylaxis ordering increased and orthopedic VTE occurrences decreased after the standardized electronic order set was implemented. Social change occurred through the empowerment of clinicians when empirical evidence was provided for use at the point of care, which positively impacted patient outcomes undergoing a common surgical procedure. VTE is no longer considered a routine postoperative orthopedic complication as technology-enabled solutions have proven to be appropriate tools to combat and prevent postoperative VTE complications.

In the past three years, evidence based medicine emerged as a powerful force in an effort to improve quality and health outcomes, and to reduce cost of care. Computerized physician order entry (CPOE) applications brought safety and efficiency features to clinical settings, including ease of ordering medications via pre-defined sets. Order sets offer promise of standardized care beyond convenience features through evidence-based practices built upon a growing and powerful knowledge of clinical professionals to achieve potentially more consistent health outcomes with patients and to reduce frequency of medical errors, adverse drug effects, and unintended side effects during treatment. While order sets existed in paper form prior to the introduction of CPOE, their true potential was only unleashed with support of clinical informatics, at those healthcare facilities that installed CPOE systems and reap rewards of standardized care. Despite ongoing utilization of order sets at facilities that implemented CPOE, there is a lack of quantitative evidence behind their benefits. Comprehensive research into their impact requires a history of electronic medical records necessary to produce large population samples to achieve statistically significant results. The study, conducted at a large Midwest healthcare system consisting of several community and academic hospitals, was aimed at quantitatively analyzing benefits of the order sets applied to prevent venous thromboembolism (VTE) and treat pneumonia, congestive heart failure (CHF), and acute myocardial infarction (AMI) - testing hospital mortality, readmission, complications, and length of stay (LOS) as health outcomes. Results indicated reduction of acute VTE rates among non-surgical patients in the experimental group, while LOS and complications benefits were inconclusive. Pneumonia patients in the experimental group had lower mortality, readmissions, LOS, and complications rates. CHF patients benefited from order sets in terms of mortality and LOS, while there was no sufficient data to display results for readmissions and complications. Utilization of AMI order sets was insufficient to produce statistically significant results. Results will (1) empower health providers with evidence to justify implementation of order sets due to their effectiveness in driving improvements in health outcomes and efficiency of care and (2) provide researchers with new ideas to conduct health outcomes research.

This work addresses two novel problems in the field of computational genomics. The first is whole genome alignment and the second is inferring horizontal gene transfer using posets. We define these two problems and present algorithmic approaches for solving them. For the whole genome alignment, we define alignment graphs for representing different evolutionary events, and define a scoring function for those graphs. The problem defined is proven to be NP-complete. Two heuristics are presented to solve the problem, one is a dynamic programming approach that is optimal for a class of sequences that we define in this work as breakable arrangements. And, the other is a greedy approach that is not necessarily optimal, however, unlike the dynamic programming approach, it allows for reversals. For inferring horizontal gene transfer, we define partial order sets among species, with respect to different genes, and infer genes involved in horizontal gene transfer by comparing posets for different genes. The posets are used to construct a tree for each gene. Those trees are then compared and tested for contradiction, where contradictory trees correspond to genes that are candidates of horizontal gene transfer. / Ph. D.