Home About us Contact
|
Home About us Contact | ||
|
|
||
Data Capture (data + capture)
Selected AbstractsMetrics in the Science of SurgeACADEMIC EMERGENCY MEDICINE, Issue 11 2006Jonathan A. Handler MD Metrics are the driver to positive change toward better patient care. However, the research into the metrics of the science of surge is incomplete, research funding is inadequate, and we lack a criterion standard metric for identifying and quantifying surge capacity. Therefore, a consensus working group was formed through a "viral invitation" process. With a combination of online discussion through a group e-mail list and in-person discussion at a breakout session of the Academic Emergency Medicine 2006 Consensus Conference, "The Science of Surge," seven consensus statements were generated. These statements emphasize the importance of funded research in the area of surge capacity metrics; the utility of an emergency medicine research registry; the need to make the data available to clinicians, administrators, public health officials, and internal and external systems; the importance of real-time data, data standards, and electronic transmission; seamless integration of data capture into the care process; the value of having data available from a single point of access through which data mining, forecasting, and modeling can be performed; and the basic necessity of a criterion standard metric for quantifying surge capacity. Further consensus work is needed to select a criterion standard metric for quantifying surge capacity. These consensus statements cover the future research needs, the infrastructure needs, and the data that are needed for a state-of-the-art approach to surge and surge capacity. [source] Case-Mix Adjusting Performance Measures in a Veteran Population: Pharmacy- and Diagnosis-Based ApproachesHEALTH SERVICES RESEARCH, Issue 5 2003Chuan-Fen Liu Objective. To compare the rankings for health care utilization performance measures at the facility level in a Veterans Health Administration (VHA) health care delivery network using pharmacy- and diagnosis-based case-mix adjustment measures. Data Sources/Study Setting. The study included veterans who used inpatient or outpatient services in Veterans Integrated Service Network (VISN) 20 during fiscal year 1998 (October 1997 to September 1998; N=126,076). Utilization and pharmacy data were extracted from VHA national databases and the VISN 20 data warehouse. Study Design. We estimated concurrent regression models using pharmacy or diagnosis information in the base year (FY1998) to predict health service utilization in the same year. Utilization measures included bed days of care for inpatient care and provider visits for outpatient care. Principal Findings. Rankings of predicted utilization measures across facilities vary by case-mix adjustment measure. There is greater consistency within the diagnosis-based models than between the diagnosis- and pharmacy-based models. The eight facilities were ranked differently by the diagnosis- and pharmacy-based models. Conclusions. Choice of case-mix adjustment measure affects rankings of facilities on performance measures, raising concerns about the validity of profiling practices. Differences in rankings may reflect differences in comparability of data capture across facilities between pharmacy and diagnosis data sources, and unstable estimates due to small numbers of patients in a facility. [source] A data warehouse/online analytic processing framework for web usage mining and business intelligence reportingINTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, Issue 7 2004Xiaohua Hu Web usage mining is the application of data mining techniques to discover usage patterns and behaviors from web data (clickstream, purchase information, customer information, etc.) in order to understand and serve e-commerce customers better and improve the online business. In this article, we present a general data warehouse/online analytic processing (OLAP) framework for web usage mining and business intelligence reporting. When we integrate the web data warehouse construction, data mining, and OLAP into the e-commerce system, this tight integration dramatically reduces the time and effort for web usage mining, business intelligence reporting, and mining deployment. Our data warehouse/OLAP framework consists of four phases: data capture, webhouse construction (clickstream marts), pattern discovery and cube construction, and pattern evaluation and deployment. We discuss data transformation operations for web usage mining and business reporting in clickstream, session, and customer levels; describe the problems and challenging issues in each phase in detail; provide plausible solutions to the issues; and demonstrate the framework with some examples from some real web sites. Our data warehouse/OLAP framework has been integrated into some commercial e-commerce systems. We believe this data warehouse/OLAP framework would be very useful for developing any real-world web usage mining and business intelligence reporting systems. © 2004 Wiley Periodicals, Inc. [source] Real-Time Data Collection for Pain: Appraisal and Current StatusPAIN MEDICINE, Issue 2007Arthur A. Stone PhD ABSTRACT Objective., Real-time data capture (RTDC) techniques have rapidly developed with the advent of computer and information technology. We plan to discuss the use of RTDC in the assessment of pain, including issues pertaining to its rationale, sampling protocols, and our opinion on the current status of the methodology. Design., This is "thought" piece involving no systematic data collection methods. Results., We described the rationale for using RTDC, including issues in recall bias, the desire for detailed information about pain, and the ability to examine within,person associations between pain and other variables. The mechanics of RTDC implementations were discussed with a focus on sampling protocols and data collection methods. The final section concerned the status of RTDC. Current acceptance of RTDC is evaluated and three issues in the science of RTDC were discussed: the interpretation of differences between recall and the average of momentary assessments for the same period; if RTDC is advancing our understanding of pain; and, the issue of what consumers of pain assessments actually desire. RTDC extensions to feedback based on momentary assessments are also discussed. Conclusion., Real-time data collection can be a useful methodology for improving our understanding of pain and especially of its dynamic nature in real-world settings. [source] The HUPO Proteomics Standards Initiative , Overcoming the Fragmentation of Proteomics DataPROTEINS: STRUCTURE, FUNCTION AND BIOINFORMATICS, Issue S2 2006Henning Hermjakob Proteomics is a key field of modern biomolecular research, with many small and large scale efforts producing a wealth of proteomics data. However, the vast majority of this data is never exploited to its full potential. Even in publicly funded projects, often the raw data generated in a specific context is analysed, conclusions are drawn and published, but little attention is paid to systematic documentation, archiving, and public access to the data supporting the scientific results. It is often difficult to validate the results stated in a particular publication, and even simple global questions like ,In which cellular contexts has my protein of interest been observed?" can currently not be answered with realistic effort, due to a lack of standardised reporting and collection of proteomics data. The Proteomics Standards Initiative (PSI), a work group of the Human Proteome Organisation (HUPO), defines community standards for data representation in proteomics to facilitate systematic data capture, comparison, exchange and verification. In this article we provide an overview of PSI organisational structure, activities, and current results, as well as ways to get involved in the broad-based, open PSI process. [source] Landslide Research at the British Geological Survey: Capture, Storage and Interpretation on a National and Site-Specific ScaleACTA GEOLOGICA SINICA (ENGLISH EDITION), Issue 5 2009Catherine PENNINGTON Abstract: Landslide research at the British Geological Survey (BGS) is carried out through a number of activities, including surveying, database development and real-time monitoring of landslides. Landslide mapping across the UK has been carried out since BGS started geological mapping in 1835. Today, BGS geologists use a combination of remote sensing and ground-based investigations to survey landslides. The development of waterproof tablet computers (BGS·SIGMAmobile), with inbuilt GPS and GIS for field data capture provides an accurate and rapid mapping methodology for field surveys. Regional and national mapping of landslides is carried out in conjunction with site-specific monitoring, using terrestrial LiDAR and differential GPS technologies, which BGS has successfully developed for this application. In addition to surface monitoring, BGS is currently developing geophysical ground-imaging systems for landslide monitoring, which provide real-time information on subsurface changes prior to failure events. BGS's mapping and monitoring activities directly feed into the BGS National Landslide Database, the most extensive source of information on landslides in Great Britain. It currently holds over 14 000 records of landslide events. By combining BGS's corporate datasets with expert knowledge, BGS has developed a landslide hazard assessment tool, GeoSure, which provides information on the relative landslide hazard susceptibility at national scale. [source] SMS pain diary: a method for real-time data capture of recurrent pain in childhoodACTA PAEDIATRICA, Issue 7 2010Gösta AlfvénArticle first published online: 5 MAR 2010 Abstract Objectives:, To capture recurrent pain in children aged 9,15 years reported by short message service (SMS) and to test the compliance of such reporting in a pilot study. Methods:, After instructions, 15 children reported their pain six times a day on SMS for a week and the compatibility of the reporting was evaluated. The pain was expressed and reported on three variables: intensity captured using a numeric rating scale (NRS-11), duration in minutes and a verbal pain-related disability scale with six alternatives (0,5). The validity of this scale was tested in 37 children, and the reliability in a test,retest procedure in 20 children. Results:, Good compliance reporting the three variables intensity and duration of pain as well as pain-related disability on SMS was indicated. Support for construct validity and reliability of the verbal instrument for pain-related disability was achieved. Conclusion:, The study supports the hypothesis that pain experience expressed as intensity, duration and pain-related disability can be captured in real time by SMS in an inexpensive and compliant way in children aged 9,15 years. Validity and reliability was indicated for the constructed verbal pain-related disability scale. Further studies are needed to further confirm these findings. [source] | ||||||||||