Is There an App for That? Electronic Health Records (EHRs) and a New Environment of Conflict Prevention and Resolution

Katsh discusses the new problems that are a consequence of a new technological environment in healthcare, one that has an array of elements that makes the emergence of disputes likely. Novel uses of technology have already addressed both the problem and its source in other contexts, such as e-commerce, where large numbers of transactions have generated large numbers of disputes. If technology-supported healthcare is to improve the field of medicine, a similar effort at dispute prevention and resolution will be necessary

The onset of the vortex-like Nernst signal above Tc in La_{2-x}Sr_xCuO_4 and Bi_2Sr_{2-y}La_yCuO_6

The diffusion of vortices down a thermal gradient produces a Josephson signal which is detected as the vortex Nernst effect. In a recent report, Xu et al., Nature 406, 486 (2000), an enhanced Nernst signal identified with vortex-like excitations was observed in a series of La_{2-x}Sr_xCuO_4 (LSCO) crystals at temperatures 50-100 K above T_c. To pin down the onset temperature T_{\nu} of the vortex-like signal in the lightly doped regime (0.03 < x < 0.07), we have re-analyzed in detail the carrier contribution to the Nernst signal. By supplementing new Nernst measurements with thermopower and Hall-angle data, we isolate the off-diagonal Peltier conductivity \alpha_{xy} and show that its profile provides an objective determination of T_{\nu}. With the new results, we revise the phase diagram for the fluctuation regime in LSCO to accomodate the lightly doped regime. In the cuprate Bi_2Sr_{2-y}La_yCuO_6, we find that the carrier contribution is virtually negligible for y in the range 0.4-0.6. The evidence for an extended temperature interval with vortex-like excitations is even stronger in this system. Finally, we discuss how T_{\nu} relates to the pseudogap temperature T* and the implications of strong fluctuations between the pseudogap state and the d-wave superconducting state.Comment: 10 pages, 10 figure

English as a Basis for Command Languages for Machines and Some Problems of Spatial Reference

Current research on natural language speech-understanding provides encouragement for the development of systems for the vocal control of machines. However, the designer of a natural language based command language still faces difficulties posed by certain areas of semantics that have not been well studied. One such area is that of spatial reference, which is the way people refer to objects and actions in space. This paper looks at some problems raised by terms used to make spatial references. In particular, the semantics of English locative prepositions and presitional adverbs and a few related terms are analyzed. In light of this analysis, suggestions are made pertaining to the form that the spatial references that these terms convey could take in English-based command languages that require unambiguous reference

TOWARDS A COMBINED REPRESENTATION FOR SPATIAL AND TEMPORAL REFERENCE

Temporal and spatial references have been treated as unrelated issues in semantic representation. What must be represented are the spatial and temporal situations to which the speaker alludes. For example, with &amp;quot;John threw a ball through a window&amp;quot;, It must be shown that the event occurred some time in the past and that the ball followed a trajectory that took it through a window. Many theories that mention one topic discuss the other, but only separately, e.g., Fillmore (1968), Schank (1973), and Schubert (1976). This paper proposes a simultaneous resolution of an important part of both problems. It is proposed that spatial and temporal references b

A Logical-Form and Knowledge-Base Design for Natural Language Generation

This paper presents a technique for interpreting output demands by a natural language sentence generator in a formally transparent and efficient way. These demands are stated in a logical language. A network knowledge base organizes the concepts of the application domain into categories known to the generator. The logical expressions are interpreted by the generator using the knowledge base and a restricted, but efficient, hybrid knowledge representation system. This design has been used to allow the NIGEL generator to interpret statements in a first-order predicate calculus using the NIKL and KL-TWO knowledge representation systems. The success of this experiment has led to plans for the inclusion of this design in both the evolving Penman natural language generator and the Janus natural language interface. 1