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Showing papers by "Elizabeth S. Chen published in 2007"


Journal Article
TL;DR: Three incremental personal digital PDA-based informatics strategies aimed at improving screening for tobacco use and guideline-based tobacco cessation management were implemented within the context of an evidence-based advanced practice nurse curriculum at the Columbia University School of Nursing.
Abstract: The purpose of this case study is to describe three incremental personal digital PDA-based informatics strategies aimed at improving screening for tobacco use and guideline-based tobacco cessation management: 1) PDA clinical log with tobacco cessation diagnoses and plan of care options, 2) PDA decision support system, and 3) PDA decision support system with infobuttons--context-specific links to the National Cancer Institute's Cancer Information Services tobacco cessation information. These strategies were implemented within the context of an evidence-based advanced practice nurse curriculum at the Columbia University School of Nursing.

12 citations


Proceedings Article
11 Oct 2007
TL;DR: The ability of the semi-automated process to discover disease-drug practice pattern trends and interpretation of findings across the biomedical and clinical text sources is reported on.
Abstract: Clinical knowledge, best evidence, and practice patterns evolve over time. The ability to track these changes and study practice trends may be valuable for performance measurement and quality improvement efforts. The goal of this study was to assess the feasibility and validity of methods to generate and compare trends in biomedical literature and clinical narrative. We focused on the challenge of detecting trends in medication usage over time for two diseases: HIV/AIDS and asthma. Information about disease-specific medications in published randomized control trials and discharge summaries at New York-Presbyterian Hospital over a ten-year period were extracted using Natural Language Processing. This paper reports on the ability of our semi-automated process to discover disease-drug practice pattern trends and interpretation of findings across the biomedical and clinical text sources.

10 citations


Proceedings Article
11 Oct 2007
TL;DR: The types of log files, applications of results from their analysis, and creation of a monitoring tool for the Vigilens Health Monitor (an operational clinical decision support system at New York-Presbyterian Hospital) are described.
Abstract: The continuous monitoring of systems that provide healthcare functions is essential to ensuring their constant operation, optimal performance, and value to providers. Log files are rich resources for studying the various aspects of systems including their function and use. Here, we describe the types of log files, applications of results from their analysis, and creation of a monitoring tool for the Vigilens Health Monitor (an operational clinical decision support system at New York-Presbyterian Hospital).

3 citations


Proceedings Article
11 Oct 2007
TL;DR: The database architecture for Mobile Decision Support for Advanced Practice Nursing (MODS-APN), a personal digital assistant-based decision support system (DSS) for screening and tailored care planning by APN students, consists of 6 Microsoft Access databases for data storage, synchronization, reporting, and PDA user interfaces.
Abstract: The database architecture for Mobile Decision Support for Advanced Practice Nursing (MODS-APN), a personal digital assistant (PDA)-based decision support system (DSS) for screening and tailored care planning by APN students, consists of 6 Microsoft Access databases for data storage, synchronization, reporting, and PDA user interfaces.

1 citations


Proceedings Article
11 Oct 2007
TL;DR: Evaluation criteria for hardware, software, and wireless communication options are focused on to study the use of a mobile version of the FIRA instrument.
Abstract: Falls and associated injuries in the inpatient environment continue to be an unsolved patient safety problem. At New York-Presbyterian Hospital (NYP), an automated fall-injury risk assessment (FIRA) instrument was developed and integrated into the desktop-based clinical information system. The following study focuses on the evaluation criteria for hardware, software, and wireless communication options to study the use of a mobile version of the instrument. Language: en