Impact of computerized physician order entry (CPOE) system on the outcome of critically ill adult patients: a before-after study

<p>Abstract</p> <p>Background</p> <p>Computerized physician order entry (CPOE) systems are recommended to improve patient safety and outcomes. However, their effectiveness has been questioned. Our objective was to evaluate the impact of CPOE implementation on the outcome of critically ill patients.</p> <p>Methods</p> <p>This was an observational before-after study carried out in a 21-bed medical and surgical intensive care unit (ICU) of a tertiary care center. It included all patients admitted to the ICU in the 24 months pre- and 12 months post-CPOE (Misys^®) implementation. Data were extracted from a prospectively collected ICU database and included: demographics, Acute Physiology and Chronic Health Evaluation (APACHE) II score, admission diagnosis and comorbid conditions. Outcomes compared in different pre- and post-CPOE periods included: ICU and hospital mortality, duration of mechanical ventilation, and ICU and hospital length of stay. These outcomes were also compared in selected high risk subgroups of patients (age 12-17 years, traumatic brain injury, admission diagnosis of sepsis and admission APACHE II > 23). Multivariate analysis was used to adjust for imbalances in baseline characteristics and selected clinically relevant variables.</p> <p>Results</p> <p>There were 1638 and 898 patients admitted to the ICU in the specified pre- and post-CPOE periods, respectively (age = 52 ± 22 vs. 52 ± 21 years, p = 0.74; APACHE II = 24 ± 9 vs. 24 ± 10, p = 0.83). During these periods, there were no differences in ICU (adjusted odds ratio (aOR) 0.98, 95% confidence interval [CI] 0.7-1.3) and in hospital mortality (aOR 1.00, 95% CI 0.8-1.3). CPOE implementation was associated with similar duration of mechanical ventilation and of stay in the ICU and hospital. There was no increased mortality or stay in the high risk subgroups after CPOE implementation.</p> <p>Conclusions</p> <p>The implementation of CPOE in an adult medical surgical ICU resulted in no improvement in patient outcomes in the immediate phase and up to 12 months after implementation.</p

Use of information and communication technologies to support effective work practice innovation in the health sector: a multi-site study

<p>Abstract</p> <p>Background</p> <p>Widespread adoption of information and communication technologies (ICT) is a key strategy to meet the challenges facing health systems internationally of increasing demands, rising costs, limited resources and workforce shortages. Despite the rapid increase in ICT investment, uptake and acceptance has been slow and the benefits fewer than expected. Absent from the research literature has been a multi-site investigation of how ICT can support and drive innovative work practice. This Australian-based project will assess the factors that allow health service organisations to harness ICT, and the extent to which such systems drive the creation of new sustainable models of service delivery which increase capacity and provide rapid, safe, effective, affordable and sustainable health care.</p> <p>Design</p> <p>A multi-method approach will measure current ICT impact on workforce practices and develop and test new models of ICT use which support innovations in work practice. The research will focus on three large-scale commercial ICT systems being adopted in Australia and other countries: computerised ordering systems, ambulatory electronic medical record systems, and emergency medicine information systems. We will measure and analyse each system's role in supporting five key attributes of work practice innovation: changes in professionals' roles and responsibilities; integration of best practice into routine care; safe care practices; team-based care delivery; and active involvement of consumers in care.</p> <p>Discussion</p> <p>A socio-technical approach to the use of ICT will be adopted to examine and interpret the workforce and organisational complexities of the health sector. The project will also focus on ICT as a potentially <it>disruptive innovation </it>that challenges the way in which health care is delivered and consequently leads some health professionals to view it as a threat to traditional roles and responsibilities and a risk to existing models of care delivery. Such views have stifled debate as well as wider explorations of ICT's potential benefits, yet firm evidence of the effects of role changes on health service outcomes is limited. This project will provide important evidence about the role of ICT in supporting new models of care delivery across multiple healthcare organizations and about the ways in which innovative work practice change is diffused.</p

IT adoption of clinical information systems in Austrian and German hospitals: results of a comparative survey with a focus on nursing

<p>Abstract</p> <p>Background</p> <p>IT adoption is a process that is influenced by different external and internal factors. This study aimed</p> <p indent="1">1. to identify similarities and differences in the prevalence of medical and nursing IT systems in Austrian and German hospitals, and</p> <p indent="1">2. to match these findings with characteristics of the two countries, in particular their healthcare system, and with features of the hospitals.</p> <p>Methods</p> <p>In 2007, all acute care hospitals in both countries received questionnaires with identical questions. 12.4% in Germany and 34.6% in Austria responded.</p> <p>Results</p> <p>The surveys revealed a consistent higher usage of nearly all clinical IT systems, especially nursing systems, but also PACS and electronic archiving systems, in Austrian than in German hospitals. These findings correspond with a significantly wider use of standardised nursing terminologies and a higher number of PC workstations on the wards (average 2.1 PCs in Germany, 3.2 PCs in Austria). Despite these differences, Austrian and German hospitals both reported a similar IT budget of 2.6% in Austria and 2.0% in Germany (median).</p> <p>Conclusions</p> <p>Despite the many similarities of the Austrian and German healthcare system there are distinct differences which may have led to a wider use of IT systems in Austrian hospitals. In nursing, the specific legal requirement to document nursing diagnoses in Austria may have stimulated the use of standardised terminologies for nursing diagnoses and the implementation of electronic nursing documentation systems. Other factors which correspond with the wider use of clinical IT systems in Austria are: good infrastructure of medical-technical devices, rigorous organisational changes which had led to leaner processes and to a lower length of stay, and finally a more IT friendly climate. As country size is the most pronounced difference between Germany and Austria it could be that smaller countries, such as Austria, are more ready to translate innovation into practice.</p

CuBIC: cumulant based inference of higher-order correlations in massively parallel spike trains

Recent developments in electrophysiological and optical recording techniques enable the simultaneous observation of large numbers of neurons. A meaningful interpretation of the resulting multivariate data, however, presents a serious challenge. In particular, the estimation of higher-order correlations that characterize the cooperative dynamics of groups of neurons is impeded by the combinatorial explosion of the parameter space. The resulting requirements with respect to sample size and recording time has rendered the detection of coordinated neuronal groups exceedingly difficult. Here we describe a novel approach to infer higher-order correlations in massively parallel spike trains that is less susceptible to these problems. Based on the superimposed activity of all recorded neurons, the cumulant-based inference of higher-order correlations (CuBIC) presented here exploits the fact that the absence of higher-order correlations imposes also strong constraints on correlations of lower order. Thus, estimates of only few lower-order cumulants suffice to infer higher-order correlations in the population. As a consequence, CuBIC is much better compatible with the constraints of in vivo recordings than previous approaches, which is shown by a systematic analysis of its parameter dependence