3,648 research outputs found

    Electronic Medical Record Adoption in New Zealand Primary Care Physician Offices

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    Describes EMR adoption in New Zealand's primary healthcare system, including how government investment was secured and data protection laws, unique patient identifiers, and standards and certification were established, with lessons for the United States

    Widespread Adoption of Information Technology in Primary Care Physician Offices in Denmark: A Case Study

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    Describes the use of electronic medical records, standardized clinical communications, and patient identification numbers by Denmark's primary care physicians; a nonprofit organization's role in implementation and certification; and elements of success

    Clique cycle-transversals in distance-hereditary graphs

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    A cycle-transversal of a graph G is a subset T of V(G) such that T intersects every cycle of G. A clique cycle-transversal, or cct for short, is a cycle-transversal which is a clique. Recognizing graphs which admit a cct can be done in polynomial time; however, no structural characterization of such graphs is known. We characterize distance-hereditary graphs admitting a cct in terms of forbidden induced subgraphs. This extends similar results for chordal graphs and cographs

    Decycling a graph by the removal of a matching: new algorithmic and structural aspects in some classes of graphs

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    A graph GG is {\em matching-decyclable} if it has a matching MM such that GMG-M is acyclic. Deciding whether GG is matching-decyclable is an NP-complete problem even if GG is 2-connected, planar, and subcubic. In this work we present results on matching-decyclability in the following classes: Hamiltonian subcubic graphs, chordal graphs, and distance-hereditary graphs. In Hamiltonian subcubic graphs we show that deciding matching-decyclability is NP-complete even if there are exactly two vertices of degree two. For chordal and distance-hereditary graphs, we present characterizations of matching-decyclability that lead to O(n)O(n)-time recognition algorithms
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