The relationship between hospital financial performance and information technology integration strategy selection

In light of the new healthcare regulations, hospitals are increasingly reevaluating their IT integration strategies to meet expanded healthcare information exchange requirements. Nevertheless, hospital executives do not have all the information they need to differentiate between the available strategies and recognize what may better fit their organizational needs. ^ In the interest of providing the desired information, this study explored the relationships between hospital financial performance, integration strategy selection, and strategy change. The integration strategies examined – applied as binary logistic regression dependent variables and in the order from most to least integrated – were Single-Vendor (SV), Best-of-Suite (BoS), and Best-of-Breed (BoB). In addition, the financial measurements adopted as independent variables for the models were two administrative labor efficiency and six industry standard financial ratios designed to provide a broad proxy of hospital financial performance. Furthermore, descriptive statistical analyses were carried out to evaluate recent trends in hospital integration strategy change. Overall six research questions were proposed for this study. ^ The first research question sought to answer if financial performance was related to the selection of integration strategies. The next questions, however, explored whether hospitals were more likely to change strategies or remain the same when there was no external stimulus to change, and if they did change, they would prefer strategies closer to the existing ones. These were followed by a question that inquired if financial performance was also related to strategy change. Nevertheless, rounding up the questions, the last two probed if the new Health Information Technology for Economic and Clinical Health (HITECH) Act had any impact on the frequency and direction of strategy change. ^ The results confirmed that financial performance is related to both IT integration strategy selection and strategy change, while concurred with prior studies that suggested hospital and environmental characteristics are associated factors as well. Specifically this study noted that the most integrated SV strategy is related to increased administrative labor efficiency and the hybrid BoS strategy is associated with improved financial health (based on operating margin and equity financing ratios). On the other hand, no financial indicators were found to be related to the least integrated BoB strategy, except for short-term liquidity (current ratio) when involving strategy change. ^ Ultimately, this study concluded that when making IT integration strategy decisions hospitals closely follow the resource dependence view of minimizing uncertainty. As each integration strategy may favor certain organizational characteristics, hospitals traditionally preferred not to make strategy changes and when they did, they selected strategies that were more closely related to the existing ones. However, as new regulations further heighten revenue uncertainty while require increased information integration, moving forward, as evidence already suggests a growing trend of organizations shifting towards more integrated strategies, hospitals may be more limited in their strategy selection choices.^

Hybrid stochastic simulations of intracellular reaction-diffusion systems.

With the observation that stochasticity is important in biological systems, chemical kinetics have begun to receive wider interest. While the use of Monte Carlo discrete event simulations most accurately capture the variability of molecular species, they become computationally costly for complex reaction-diffusion systems with large populations of molecules. On the other hand, continuous time models are computationally efficient but they fail to capture any variability in the molecular species. In this study a hybrid stochastic approach is introduced for simulating reaction-diffusion systems. We developed an adaptive partitioning strategy in which processes with high frequency are simulated with deterministic rate-based equations, and those with low frequency using the exact stochastic algorithm of Gillespie. Therefore the stochastic behavior of cellular pathways is preserved while being able to apply it to large populations of molecules. We describe our method and demonstrate its accuracy and efficiency compared with the Gillespie algorithm for two different systems. First, a model of intracellular viral kinetics with two steady states and second, a compartmental model of the postsynaptic spine head for studying the dynamics of Ca+2 and NMDA receptors.

NOVEL INDUCERS OF GLIOTOXIN PRODUCTION IN ASPERGILLUS FUMIGATUS

Secondary metabolites are produced by numerous organisms and can either be benign to humans or harmful. Genes involved in the synthesis and transport of these secondary metabolites are frequently found in gene clusters, which are often located in subtelomeric regions of the chromosome. These clusters are often coordinately regulated, being almost exclusively dependent on transcription factors that are located within the clusters themselves. Secondary metabolites are also regulated by a variety of factors, including nutritional factors, environmental factors and developmental processes. Gliotoxin, which is produced by a variety of Aspergillus species, Trichoderma species, and Penicillium species, exhibits immunosuppressive properties and has therefore been the subject of research for many laboratories. There have been a few proteins shown to regulate the gliotoxin cluster, most notably GliZ, a Zn2Cys6 binuclear finger transcription factor that lies within the cluster, and LaeA, a putative methyltransferase that globally regulates secondary metabolism clusters within numerous fungal organisms, although no study has demonstrated the direct binding of any protein to a promoter region in the gliotoxin cluster. I report here two novel proteins, GipA, a C2H2 transcription factor and GipB, a hybrid sensor kinase, which are involved in regulating the gliotoxin biosynthetic cluster. GipA plays an important role in gliotoxin production, as high-copy expression of gipA induces gliotoxin biosynthesis and loss of gipA reduces gliotoxin biosynthesis by 50%. GipB is also involved in regulating gliotoxin production, as high-copy expression of gipB induces gliotoxin biosynthesis, but only during certain stages of asexual development. Furthermore, loss of gipB reduces gliotoxin biosynthesis by 10%. Based on data obtained from this project, I propose a model for the regulation of gliA, the efflux pump of the gliotoxin cluster, which involves GipB signaling through both GliZ and GipA. I propose that GliZ and GipA are interdependent, as mutation of the GipA DNA binding site in the gliA promoter negatively affects both GliZ-mediated and GipA-mediated induction of gliA. This is further supported by the fact that GliZ cannot fully induce gliA in the absence of GipA and vice versa. This is the first time that anyone has shown evidence of a protein directly binding to the gliotoxin cluster. Even though biosynthetic clusters are often coordinately regulated, my model raises the possibility that gliA is independently regulated, as the layout of the binding site in the gliA promoter is not present upstream of any other genes in the gliotoxin cluster, except for gliZ.