scholarly journals Types and Frequency of Infusion Pump Alarms: Protocol for a Retrospective Data Analysis (Preprint)

2018 ◽  
Author(s):  
Kevin R Glover ◽  
Rachel R Vitoux ◽  
Catherine Schuster ◽  
Christopher R Curtin
Keyword(s):  
Data Management ◽  
Improve Patient Safety ◽  
Safety Issue ◽  
Infusion Pump ◽  
Time Of Day ◽  
Clinical Staff ◽  
Data Repository ◽  
Management Software ◽  
Alarm Fatigue ◽  
Management Procedures

BACKGROUND The variety of alarms from all types of medical devices has increased from 6 to 40 in the last three decades, with today’s most critically ill patients experiencing as many as 45 alarms per hour. Alarm fatigue has been identified as a critical safety issue for clinical staff that can lead to potentially dangerous delays or nonresponse to actionable alarms, resulting in serious patient injury and death. To date, most research on medical device alarms has focused on the nonactionable alarms of physiological monitoring devices. While there have been some reports in the literature related to drug library alerts during the infusion pump programing sequence, research related to the types and frequencies of actionable infusion pump alarms remains largely unexplored. OBJECTIVE The objectives of this study protocol are to establish baseline data related to the types and frequency of infusion pump alarms from the B. Braun Outlook 400ES Safety Infusion System with the accompanying DoseTrac Infusion Management Software. METHODS The most recent consecutive 60-day period of backup hospital data received between April 2014 and February 2017 from 32 United States-based hospitals will be selected for analysis. Microsoft SQL Server (2012 - 11.0.5343.0 X64) will be used to manage the data with unique code written to sort data and perform descriptive analyses. A validated data management methodology will be utilized to clean and analyze the data. Data management procedures will include blinding, cleaning, and review of existing infusion data within the DoseTrac Infusion Management Software databases at each hospital. Patient-identifying data will be removed prior to merging into a dedicated and secure data repository. This pooled data will then be analyzed. RESULTS This exploratory study will analyze the aggregate alarm data for each hospital by care area, drug infused, time of day, and day of week, including: overall infusion pump alarm frequency (number of alarms per active infusion), duration of alarms (average, range, median), and type and frequency of alarms distributed by care area. CONCLUSIONS Infusion pump alarm data collected and analyzed in this study will be used to help establish a baseline of infusion pump alarm types and relative frequencies. Understanding the incidences and characteristics of infusion pump alarms will result in more informed quality improvement recommendations to decrease and/or modify infusion pump alarms, and potentially reduce clinical staff alarm fatigue and improve patient safety.  REGISTERED REPORT IDENTIFIER RR1-10.2196/10446

PENGELOLAAN DATA ANGGOTA BERBASIS WEBSITE DI YAMAHA VIXION CLUB CABANG BANDUNG

2020 ◽  
Vol 2 (2) ◽  
pp. 113-127
Author(s):  
Nova Indrayana Yusman
Keyword(s):  
Data Management ◽  
Organizational Structure ◽  
Human Resource Development ◽  
Human Resource ◽  
Programming Language ◽  
The Internet ◽  
Web Based ◽  
Management Software ◽  
The City ◽  
Data Management Software

Yamaha Vixion Club Bandung (YVCB) was formed on July 7, 2007 in the city of Bandung, as a place of friendship between Yamaha Vixion motorcyclists. In its organizational structure, YVCB has a Human Resource Development (HRD) division. Until now, there are more than 800 Yamaha Vixion Club Bandung members. This software is made to facilitate the work of the Yamaha Vixion Club Bandung HRD Division in processing member data. Created using Microsoft Webmatrix as an editor with the PHP programming language. The database uses MySQL with PHPMyAdmin as the software. The method used in making this software is prototyping so that between developers and customers can understand each other what the customer wants. The purpose of making web-based member data management software is that in terms of managing member data it can be done anytime and anywhere by just accessing the internet. In the use of the program, the author chose to use PHP, because PHP is the best and easiest to use in website programming language. Based on the last paragraph, the author intends to make aplication based computerized attendance so that become effective and efficient in terms of time.

Water Quality Remote Monitor Control and Data Management Software

1996 ◽  
Author(s):  
Michael C. Vorwerk ◽  
Jennifer A. Moore ◽  
Joe H. Carroll
Keyword(s):  
Water Quality ◽  
Data Management ◽  
Management Software ◽  
Remote Monitor ◽  
Data Management Software

scholarly journals The on-premise data sharing infrastructure e!DAL: Foster FAIR data for faster data acquisition

GigaScience ◽  
2020 ◽  
Vol 9 (10) ◽  
Author(s):  
Daniel Arend ◽  
Patrick König ◽  
Astrid Junker ◽  
Uwe Scholz ◽  
Matthias Lange
Keyword(s):  
Data Management ◽  
Data Storage ◽  
Best Practice ◽  
Research Process ◽  
Research Data ◽  
Primary Data ◽  
Data Repository ◽  
Plant Genomics ◽  
Quality Of Data

Abstract Background The FAIR data principle as a commitment to support long-term research data management is widely accepted in the scientific community. Although the ELIXIR Core Data Resources and other established infrastructures provide comprehensive and long-term stable services and platforms for FAIR data management, a large quantity of research data is still hidden or at risk of getting lost. Currently, high-throughput plant genomics and phenomics technologies are producing research data in abundance, the storage of which is not covered by established core databases. This concerns the data volume, e.g., time series of images or high-resolution hyper-spectral data; the quality of data formatting and annotation, e.g., with regard to structure and annotation specifications of core databases; uncovered data domains; or organizational constraints prohibiting primary data storage outside institional boundaries. Results To share these potentially dark data in a FAIR way and master these challenges the ELIXIR Germany/de.NBI service Plant Genomic and Phenomics Research Data Repository (PGP) implements a “bring the infrastructure to the data” approach, which allows research data to be kept in place and wrapped in a FAIR-aware software infrastructure. This article presents new features of the e!DAL infrastructure software and the PGP repository as a best practice on how to easily set up FAIR-compliant and intuitive research data services. Furthermore, the integration of the ELIXIR Authentication and Authorization Infrastructure (AAI) and data discovery services are introduced as means to lower technical barriers and to increase the visibility of research data. Conclusion The e!DAL software matured to a powerful and FAIR-compliant infrastructure, while keeping the focus on flexible setup and integration into existing infrastructures and into the daily research process.

scholarly journals A HIGHLY SCALABLE DATA MANAGEMENT SYSTEM FOR POINT CLOUD AND FULL WAVEFORM LIDAR DATA

2020 ◽  
Vol XLIII-B4-2020 ◽  
pp. 507-512
Author(s):  
A. V. Vo ◽  
D. F. Laefer ◽  
M. Trifkovic ◽  
C. N. L. Hewage ◽  
M. Bertolotto ◽  
...  
Keyword(s):  
Data Management ◽  
Management System ◽  
Web Application ◽  
Point Cloud ◽  
Web Applications ◽  
Distributed Database ◽  
Data Management System ◽  
Data Repository ◽  
Lidar Data ◽  
Full Waveform

Abstract. The massive amounts of spatio-temporal information often present in LiDAR data sets make their storage, processing, and visualisation computationally demanding. There is an increasing need for systems and tools that support all the spatial and temporal components and the three-dimensional nature of these datasets for effortless retrieval and visualisation. In response to these needs, this paper presents a scalable, distributed database system that is designed explicitly for retrieving and viewing large LiDAR datasets on the web. The ultimate goal of the system is to provide rapid and convenient access to a large repository of LiDAR data hosted in a distributed computing platform. The system is composed of multiple, share-nothing nodes operating in parallel. Namely, each node is autonomous and has a dedicated set of processors and memory. The nodes communicate with each other via an interconnected network. The data management system presented in this paper is implemented based on Apache HBase, a distributed key-value datastore within the Hadoop eco-system. HBase is extended with new data encoding and indexing mechanisms to accommodate both the point cloud and the full waveform components of LiDAR data. The data can be consumed by any desktop or web application that communicates with the data repository using the HTTP protocol. The communication is enabled by a web servlet. In addition to the command line tool used for administration tasks, two web applications are presented to illustrate the types of user-facing applications that can be coupled with the data system.

scholarly journals Data Lakes and Data Visualization: An Innovative Approach to Addressing the Many Challenges of Health Workforce Planning

2015 ◽  
Vol 7 (3) ◽  
Author(s):  
Denise D. Krause
Keyword(s):  
Data Management ◽  
Data Visualization ◽  
Health Workforce ◽  
Health Planning ◽  
Workforce Planning ◽  
Health Data ◽  
Primary Objective ◽  
The State ◽  
Data Repository ◽  
Health Workforce Planning

Background: There are a variety of challenges to health workforce planning, but access to data is critical for effective evidence-based decision-making. Many agencies and organizations throughout Mississippi have been collecting quality health data for many years. Those data have historically resided in data silos and have not been readily shared. A strategy was developed to build and coordinate infrastructure, capacity, tools, and resources to facilitate health workforce and population health planning throughout the state.Objective: Realizing data as the foundation upon which to build, the primary objective was to develop the capacity to collect, store, maintain, visualize, and analyze data from a variety of disparate sources -- with the ultimate goal of improving access to health care.Specific aims were to:1)  build a centralized data repository and scalable informatics platform,2)  develop a data management solution for this platform and then,3)  derive value from this platform by facilitating data visualization and analysis.Methods: We designed and constructed a managed data lake for health data from disparate sources throughout the state of Mississippi. A data management application was developed to log and track all data sources, maps and geographies, and data marts.  With this informatics platform as a foundation, we use a variety of tools to visualize and analyze data.Results: Samples of data visualizations that aim to inform health planners and policymakers are presented. Many agencies and organizations throughout the state benefit from this platform.Conclusion: The overarching goal is that by providing timely, reliable information to stakeholders, Mississippians in general will experience improved access to quality care. 

Dynamic Alarm Systems for Hospitals (D.A.S.H.)

2018 ◽  
Vol 26 (4) ◽  
pp. 14-19 ◽  
Author(s):  
Jasmine M. Greer ◽  
Kendall J. Burdick ◽  
Arman R. Chowdhury ◽  
Joseph J. Schlesinger
Keyword(s):  
Health Care ◽  
Health Care Quality ◽  
Improve Patient Safety ◽  
Environmental Noise ◽  
Care Quality ◽  
False Alarms ◽  
Alarm Fatigue ◽  
Alarm Systems ◽  
Physiological Information ◽  
Improve Patient

Hospital alarms today indicate urgent clinical need, but they are seldom “true.” False alarms are contributing to the ever-increasing issue of alarm fatigue, or desensitization, among doctors and nurses. Alarm fatigue is a high-priority health care concern because of its potential to compromise health care quality and inflict harm on patients. To address this concern, we have engineered Dynamic Alarm Systems for Hospitals (D.A.S.H.), a dynamic alarm system that self-regulates alarm loudness based on the environmental noise level and incorporates differentiable and learnable alarms. D.A.S.H., with its ability to adapt to environmental noise and encode nuanced physiological information, may improve patient safety and attenuate clinician alarm fatigue.

Urban Master Data Management

2017 ◽  
pp. 441-465
Author(s):  
Adolphe Ayissi Eteme ◽  
Justin Moskolai Ngossaha
Keyword(s):  
Information Technology ◽  
Information Systems ◽  
Data Management ◽  
Data Repository ◽  
Distributed Data ◽  
Data Systems ◽  
Policy Makers ◽  
Master Data ◽  
Master Data Management

The use of information technology in council management has resulted in the generation of a large amount of data through various autonomous urban bodies. The relevant bodies barely or never reuse such locally-generated data. This may be due particularly to managers', policy makers' and users' lack of awareness of existing information. The Platform for the Integration and Interoperability of the Yaounde Urban Information Systems (YUSIIP) project seeks to reduce this deficit by establishing a federated operational platform of heterogeneous and distributed data systems based on a distributed data repository. The position developed in this paper is that Master Data Management (MDM) will contribute to achieving this objective in a context marked by the dispersion and duplication of data and diversity of information systems.

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