scholarly journals Covid Tracker for Medical Front-Liners- A Survey

2021 ◽  
Vol 10 (3) ◽  
pp. 1683-1689
Keyword(s):  
Decision Making ◽  
Data Collection ◽  
Medical Staff ◽  
Management System ◽  
Positive Patient ◽  
Medical Organization ◽  
Field Staff ◽  
Patient Will ◽  
Initial Process

This paper studies the need and suggests a centralized pandemic management system for monitoring and managing the Covid-19 positive patients. The initial process of the system will be data collection from a standard medical organization and performing suitable preprocessing. Following this, is the Geocoding process of the patient’s address and area wise sub clustering. Next is plotting the patient on a map for better visualization. After this the medical staff will access this data and field staff will fillup the patient’s symptoms and upload it to a database. A doctor can assign the type of treatment, ambulance and hospital to the patient. Finally, tracking the patient’s arrival to the hospital via ambulance and treating the patient will mark the end. Analysis and visualization on the patients live data will help the authorities in decision-making. Through all these steps, the monitoring of a Covid-19 positive patient will become very easy and convenient for the medical front liners and other concerned authorities

scholarly journals PERANCANGAN DAN IMPLEMENTASI SISTEM INFORMASI MANAJEMEN ASET PADA PEMERINTAH KABUPATEN MERANGIN MENGGUNAKAN BAHASA PEMROGRAMAN PHP DAN MYSQL

2019 ◽  
Vol 1 (1) ◽  
pp. 1-6
Author(s):  
Sularno Larno ◽  
Nori Sahrun
Keyword(s):  
Decision Making ◽  
Local Government ◽  
Data Collection ◽  
Asset Management ◽  
Management System ◽  
Government Agencies ◽  
Asset Management System

Asset managements is most needed by every businessm especially in recording asset at the local government agencies. Setting is done so that each asset procurement of equipment and goods in these institutions can be properly maintained. In the presence of an inegrated asset management system within the scope of government Merangin to perform data collection and monitoring of assets that can be used as guidelines for decision-making in procurement and rejuvenation of  government asset.

scholarly journals EP.FRI.257 ELF 2: Defining the Denominator

2021 ◽  
Vol 108 (Supplement_7) ◽  
Author(s):  
Elizabeth McLennan ◽  
Angeline Price ◽  
Jemma Boyle
Keyword(s):  
Decision Making ◽  
Data Collection ◽  
Older Adult ◽  
Adult Population ◽  
Emergency Laparotomy ◽  
Ageing Population ◽  
Prospective Data ◽  
Collaborative Project ◽  
Patient Will ◽  
Older Adult Population

Abstract Introduction The collaborative UK Emergency Laparotomy and Frailty (ELF) study was one of the first to investigate the older adult population undergoing emergency surgery. Despite accounting for almost half of emergency laparotomies and many considered high-risk, there remains a paucity of research in this population. One undefined area is the older patient who presents with acute abdominal pathology treatable by laparotomy but who do not undergo surgery. Aims The primary aim is to estimate the 90-day mortality in older patients presenting with acute abdominal pathology potentially treatable by emergency laparotomy who do not undergo surgery (NoLap). The secondary aims are the characterisation of this group, including frailty and sarcopenia with comparison to those older adults that have undergone emergency laparotomy (NELA and ELLSA). In addition, the decision-making process will be explored. Method Multicentre prospective cohort study via established research collaboratives (WelshBarbers, SSRG, OPSOC). ELF 2 requires at least 47 centres, recruiting 700 patients for 3months prospective data collection via REDCap of NoLap patients with the same NELA inclusion/exclusion criteria. This data will be compared with a matched cohort from NELA and ELLSA. ELF2 data collection includes demographics, co-morbidities, frailty and sarcopenia. Each patient will be followed up for 90-day and 1-year mortality. Heuristics behind the decision will be analysed. Discussion This trainee led collaborative project aims to improve understanding of the older adult population being considered for emergency laparotomy. With the ageing population being the dominant health users of the future, defining the denominator is essential for shared decision-making

535 ELF 2: DEFINING THE DENOMINATOR ELF STUDY GROUP

2021 ◽  
Vol 50 (Supplement_2) ◽  
pp. ii1-ii4
Author(s):  
A Price ◽  
E Mclennan ◽  
J Boyle ◽  
Keyword(s):  
Decision Making ◽  
Data Collection ◽  
Older Adult ◽  
Adult Population ◽  
Emergency Laparotomy ◽  
Ageing Population ◽  
Prospective Data ◽  
Collaborative Project ◽  
Patient Will ◽  
Older Adult Population

Abstract Introduction The collaborative UK Emergency Laparotomy and Frailty (ELF) study was one of the first to investigate the older adult population undergoing emergency surgery. Despite accounting for almost half of emergency laparotomies and many considered high-risk, there remains a paucity of research in this population. One undefined area is the older patient who presents with acute abdominal pathology treatable by laparotomy but who do not undergo surgery. Aims The primary aim is to estimate the 90-day mortality in older patients presenting with acute abdominal pathology potentially treatable by emergency laparotomy who do not undergo surgery (NoLap). The secondary aims are characterisation of this group, including frailty and sarcopenia with comparison to those older adults that have undergone emergency laparotomy (NELA and ELLSA). In addition, the decision-making process will be explored. Method Multicentre prospective cohort study via established research collaboratives (Welsh Barbers, SSRG, OPSOC). ELF 2 requires at least 47 centres, recruiting 700 patients for 3 months prospective data collection via REDCap of NoLap patients with the same NELA inclusion/exclusion criteria. This data will be compared with a matched cohort from NELA and ELLSA. ELF2 data collection includes demographics, co-morbidities, frailty and sarcopenia. Each patient will be followed up for 90-day and 1-year mortality. Heuristics behind the decision will be analysed. Discussion This trainee led collaborative project aims to improve understanding of the older adult population being considered for emergency laparotomy. With the ageing population being the dominant health users of the future, defining the denominator is essential for shared decision-making.

Coastal monitoring and data management for restoration in Louisiana

Shore & Beach ◽  
2020 ◽  
pp. 92-101
Author(s):  
Richard Raynie ◽  
Syed Khalil ◽  
Charles Villarrubia ◽  
Ed Haywood
Keyword(s):  
Data Collection ◽  
Data Management ◽  
Management System ◽  
Monitoring Program ◽  
Document Retrieval ◽  
Information Management System ◽  
System Level ◽  
Coastal Protection ◽  
Second Phase ◽  
Coastal Louisiana

The Coastal Protection and Restoration Authority (CPRA) of Louisiana was created after the devastating hurricanes of 2005 (Katrina and Rita) and is responsible for planning and implementing projects that will either reduce storm-induced losses (protection) or restore coastal ecosystems that have been lost or are in danger of being lost (restoration). The first task of the CPRA board was to develop Louisiana’s first Coastal Master Plan (CPRA 2007), which formally integrates and guides the protection and restoration of Louisiana’s coast. The System-Wide Assessment and Monitoring Program (SWAMP) was subsequently developed as a long-term monitoring program to ensure that a comprehensive network of coastal data collection activities is in place to support the planning, development, implementation, and adaptive management of the protection and restoration program and projects within coastal Louisiana. SWAMP includes both natural-system and human-system components and also incorporates the previously-developed Coastwide Reference Monitoring System (CRMS), the Barrier Island Comprehensive Monitoring (BICM) program, and fisheries data collected by the Louisiana Department of Wildlife and Fisheries (LDWF) in addition to other aspects of system dynamics, including offshore and inland water-body boundary conditions, water quality, risk status, and protection performance, which have historically not been the subject of CPRA-coordinated monitoring. This program further facilitates the integration of project-specific data needs into a larger, system-level design framework. Monitoring and operation of restoration and protection projects will be nested within a larger hydrologic basin-wide and coast-wide SWAMP framework and will allow informed decisions to be made with an understanding of system conditions and dynamics at multiple scales. This paper also provides an update on the implementation of various components of SWAMP in Coastal Louisiana, which began as a Barataria Basin pilot implementation program in 2015. During 2017, the second phase of SWAMP was initiated in the areas east of the Mississippi River. In 2019, development of SWAMP design was completed for the remaining basins in coastal Louisiana west of Bayou Lafourche (Figure 1). Data collection is important to inform decisions, however if the data are not properly managed or are not discoverable, they are of limited use. CPRA is committed to ensuring that information is organized and publicly available to help all coastal stakeholders make informed, science-based decisions. As a part of this effort, CPRA has re-engineered its data management system to include spatial viewers, tabular download web pages, and a library/document retrieval system along with a suite of public-facing web services providing programmatic access. This system is collectively called the Coastal Information Management System (CIMS). CPRA and U.S. Geological Survey (USGS) are also developing a proposal to create an interface for CIMS data to be exported to a neutral template that could then be ingested into NOAA’s Data Integration Visualization, Exploration and Reporting (DIVER) repository, and vice versa. DIVER is the repository that the Natural Resource Damage Assessment (NRDA) program is using to manage NRDA-funded project data throughout the Gulf of Mexico. Linking CIMS and DIVER will make it easier to aggregate data across Gulf states and look at larger, ecosystem-level changes.

Data Collection

1994 ◽  
Vol 3 (3) ◽  
pp. 55-66 ◽  
Author(s):  
Lesley B. Olswang ◽  
Barbara Bain
Keyword(s):  
Decision Making ◽  
Data Collection ◽  
Treatment Efficacy ◽  
Qualitative Information ◽  
Treatment Progress ◽  
Clinical Process ◽  
Birthday Party ◽  
Speech Language Pathologist ◽  
Intuitive Decision Making ◽  
Decision Making Model

For many of us, not having data concerning a client’s progress during treatment is tantamount to being unprepared for a lecture, or showing up at a birthday party without a present—totally unthinkable. This zealous position is based on the assumption that clinical decisions regarding treatment efficacy should be based on data. Data, in this case, refers to both quantitative and qualitative information that provides evidence for deciding the course of treatment. This is not to say that data can and should be collected on every aspect of the clinical process. Indeed, intuitive decision-making on the part of the speech-language pathologist is often warranted. But in general, a series of decisions regarding whether or not treatment is working, can and should be based on data. This article examines the ways in which we can measure treatment progress, and provides guidelines for the reader in the use of a data-based, decision-making model.

scholarly journals The Decision Making Trial and Evaluation Laboratory (Dematel) and Analytic Network Process (ANP) for Safety Management System Evaluation Performance

2018 ◽  
Vol 31 ◽  
pp. 12006 ◽  
Author(s):  
Lisa Rolita ◽  
Bayu Surarso ◽  
Rahmat Gernowo
Keyword(s):  
Decision Making ◽  
Management System ◽  
Evaluation System ◽  
Safety Management ◽  
Analytic Network Process ◽  
Performance Criterion ◽  
Questionnaire Data ◽  
Safety Management System ◽  
International Airport ◽  
Network Process

In order to improve airport safety management system (SMS) performance, an evaluation system is required to improve on current shortcomings and maximize safety. This study suggests the integration of the DEMATEL and ANP methods in decision making processes by analyzing causal relations between the relevant criteria and taking effective analysis-based decision. The DEMATEL method builds on the ANP method in identifying the interdependencies between criteria. The input data consists of questionnaire data obtained online and then stored in an online database. Furthermore, the questionnaire data is processed using DEMATEL and ANP methods to obtain the results of determining the relationship between criteria and criteria that need to be evaluated. The study cases on this evaluation system were Adi Sutjipto International Airport, Yogyakarta (JOG); Ahmad Yani International Airport, Semarang (SRG); and Adi Sumarmo International Airport, Surakarta (SOC). The integration grades SMS performance criterion weights in a descending order as follow: safety and destination policy, safety risk management, healthcare, and safety awareness. Sturges' formula classified the results into nine grades. JOG and SMG airports were in grade 8, while SOG airport was in grade 7.

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