During the study period, potentially avoidable hospitalizations from nursing homes were a common occurrence in New York. A substantial percentage of such hospitalizations involved residents who had been previously hospitalized, in some cases multiple times, for an ACS condition. Although the observed decline in ACS-related hospitalizations suggests improvements in nursing home care, various policy and managerial-level initiatives may be needed to ensure that nursing home residents are not exposed to a substantial risk of avoidable hospitalizations in the future.

No abstract

Current approaches for service composition (assemblies of atomic services) require developers to use: (a) domain-specific semantics to formalize services that restrict the vocabulary for their descriptions, and (b) translation mechanisms for service retrieval to convert unstructured user requests to strongly-typed semantic representations. In our work, we claim that the effort to developing service descriptions, request translations, and service matching could be reduced using unrestricted natural language; allowing both: (1) end-users to intuitively express their needs using natural language, and (2) service developers to develop services without relying on syntactic/semantic description languages. Although there are some natural languagebased service composition approaches, they restrict service retrieval to syntactic/semantic matching. With recent developments in Machine learning and Natural Language Processing, we motivate the use of Sentence Embeddings by leveraging richer semantic representations of sentences for service description, matching and retrieval. Experimental results show that service composition development effort may be reduced by more than 36% while keeping a high precision/recall when matching highlevel user requests with low-level service method invocations.

Our study indicates that Part D contractors do appear to have some level of influence over their medication adherence scores based on how effectively they manage prescription drug benefits for enrollees. Accessibility to prescriptions and better service delivery appear important in this regard and should be explored further in future research.