nep-ict New Economics Papers
on Information and Communication Technologies
Issue of 2014‒08‒28
two papers chosen by
Walter Frisch
Universität Wien

  1. ICT Employment Statistics in Europe: Measuring Methodology By Anna Sabadash
  2. Information Technology and Patient Health: An Expanded Analysis of Outcomes, Populations, and Mechanisms By Seth Freedman; Haizhen Lin; Jeffrey T. Prince

  1. By: Anna Sabadash (European Commission – JRC - IPTS)
    Abstract: Despite the persistent need to precisely capture and carefully analyze the employment effects associated with the production and deployment of ICT, policy discussion has not been well-supported by good quality statistical information on the ICT employment. In part, this has been due to the absence of an appropriate framework and agreed terminology for describing and quantifying ICT occupations both inside and outside the ICT sector. This paper aims to supply an empirical researcher with some methodological insights on how to describe the ICT employment landscape in the EU countries. It provides background information on the different taxonomies used to capture ICT employment dynamics, and summarises the opportunities and challenges related to the data. This is not a research paper but rather a technical note, intended for empirical economists dealing with the employment statistics. Its primary objective is to stimulate and promote discussion rather than to provide a definitive solution.
    Keywords: ICT, employment, industry, occupation, skills
    JEL: C81 C82 B41
    Date: 2013–12
    URL: http://d.repec.org/n?u=RePEc:ipt:iptwpa:jrc84122&r=ict
  2. By: Seth Freedman (School of Public and Environmental Affairs, Indiana University); Haizhen Lin (Department of Business Economics and Public Policy, Indiana University Kelley School of Business); Jeffrey T. Prince (Department of Business Economics and Public Policy, Indiana University Kelley School of Business)
    Abstract: This paper examines the effect of hospital adoption of electronic medical records (EMRs) on health outcomes, particularly patient safety indicators (PSIs). We find evidence of a positive impact of EMRs on PSIs via decision support rather than care coordination. Consistent with this mechanism, we find an EMR with decision support is more effective at reducing PSIs for less complicated cases, using several different metrics for complication. These findings indicate the negligible impacts for EMRs found by previous studies focusing on the Medicare population and/or mortality do not apply in all settings.
    Keywords: electronic medical records, patient safety indicators
    JEL: I10 I18
    Date: 2014–05
    URL: http://d.repec.org/n?u=RePEc:iuk:wpaper:2014-02&r=ict

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