scholarly journals The Use and Effectiveness of an Online Diagnostic Support System for Blood Film Interpretation: Comparative Observational Study (Preprint)

2020 ◽  
Author(s):  
Claire Hutchinson ◽  
Michelle Brereton ◽  
Julie Adams ◽  
Barbara De La Salle ◽  
Jon Sims ◽  
...  
Keyword(s):  
Decision Support ◽  
Support System ◽  
Continuing Professional Development ◽  
Decision Support Tool ◽  
Blood Film ◽  
Primary Objective ◽  
Morphological Features ◽  
Support Tool ◽  
Laboratory Service ◽  
Secondary Objective

BACKGROUND The recognition and interpretation of abnormal blood cell morphology is often the first step in diagnosing underlying serious systemic illness or leukemia. Supporting the staff who interpret blood film morphology is therefore essential for a safe laboratory service. This paper describes an open-access, web-based decision support tool, developed by the authors to support morphological diagnosis, arising from earlier studies identifying mechanisms of error in blood film reporting. The effectiveness of this intervention was assessed using the unique resource offered by the online digital morphology Continuing Professional Development scheme (DM scheme) offered by the UK National External Quality Assessment Service for Haematology, with more than 3000 registered users. This allowed the effectiveness of decision support to be tested within a defined user group, each of whom viewed and interpreted the morphology of identical digital blood films. OBJECTIVE The primary objective of the study was to test the effectiveness of the decision support system in supporting users to identify and interpret abnormal morphological features. The secondary objective was to determine the pattern and frequency of use of the system for different case types, and to determine how users perceived the support in terms of their confidence in decision-making. METHODS This was a comparative study of identical blood films evaluated either with or without decision support. Selected earlier cases from the DM scheme were rereleased as new cases but with decision support made available; this allowed a comparison of data sets for identical cases with or without decision support. To address the primary objectives, the study used quantitative evaluation and statistical comparisons of the identification and interpretation of morphological features between the two different case releases. To address the secondary objective, the use of decision support was assessed using web analytical tools, while a questionnaire was used to assess user perceptions of the system. RESULTS Cases evaluated with the aid of decision support had significantly improved accuracy of identification for relevant morphological features (mean improvement 9.8%) and the interpretation of those features (mean improvement 11%). The improvement was particularly significant for cases with higher complexity or for rarer diagnoses. Analysis of website usage demonstrated a high frequency of access for web pages relevant to each case (mean 9298 for each case, range 2661-24,276). Users reported that the decision support website increased their confidence for feature identification (4.8/5) and interpretation (4.3/5), both within the context of training (4.6/5) and also in their wider laboratory practice (4.4/5). CONCLUSIONS The findings of this study demonstrate that directed online decision support for blood morphology evaluation improves accuracy and confidence in the context of educational evaluation of digital films, with effectiveness potentially extending to wider laboratory use.

scholarly journals The Use and Effectiveness of an Online Diagnostic Support System for Blood Film Interpretation: Comparative Observational Study

10.2196/20815 ◽  
2021 ◽  
Vol 23 (8) ◽  
pp. e20815
Author(s):  
Claire Hutchinson ◽  
Michelle Brereton ◽  
Julie Adams ◽  
Barbara De La Salle ◽  
Jon Sims ◽  
...  
Keyword(s):  
Decision Support ◽  
Support System ◽  
Continuing Professional Development ◽  
Decision Support Tool ◽  
Blood Film ◽  
Primary Objective ◽  
Morphological Features ◽  
Support Tool ◽  
Laboratory Service ◽  
Secondary Objective

Background The recognition and interpretation of abnormal blood cell morphology is often the first step in diagnosing underlying serious systemic illness or leukemia. Supporting the staff who interpret blood film morphology is therefore essential for a safe laboratory service. This paper describes an open-access, web-based decision support tool, developed by the authors to support morphological diagnosis, arising from earlier studies identifying mechanisms of error in blood film reporting. The effectiveness of this intervention was assessed using the unique resource offered by the online digital morphology Continuing Professional Development scheme (DM scheme) offered by the UK National External Quality Assessment Service for Haematology, with more than 3000 registered users. This allowed the effectiveness of decision support to be tested within a defined user group, each of whom viewed and interpreted the morphology of identical digital blood films. Objective The primary objective of the study was to test the effectiveness of the decision support system in supporting users to identify and interpret abnormal morphological features. The secondary objective was to determine the pattern and frequency of use of the system for different case types, and to determine how users perceived the support in terms of their confidence in decision-making. Methods This was a comparative study of identical blood films evaluated either with or without decision support. Selected earlier cases from the DM scheme were rereleased as new cases but with decision support made available; this allowed a comparison of data sets for identical cases with or without decision support. To address the primary objectives, the study used quantitative evaluation and statistical comparisons of the identification and interpretation of morphological features between the two different case releases. To address the secondary objective, the use of decision support was assessed using web analytical tools, while a questionnaire was used to assess user perceptions of the system. Results Cases evaluated with the aid of decision support had significantly improved accuracy of identification for relevant morphological features (mean improvement 9.8%) and the interpretation of those features (mean improvement 11%). The improvement was particularly significant for cases with higher complexity or for rarer diagnoses. Analysis of website usage demonstrated a high frequency of access for web pages relevant to each case (mean 9298 for each case, range 2661-24,276). Users reported that the decision support website increased their confidence for feature identification (4.8/5) and interpretation (4.3/5), both within the context of training (4.6/5) and also in their wider laboratory practice (4.4/5). Conclusions The findings of this study demonstrate that directed online decision support for blood morphology evaluation improves accuracy and confidence in the context of educational evaluation of digital films, with effectiveness potentially extending to wider laboratory use.

scholarly journals Decision Support System for the Production of Miscanthus and Willow Briquettes

Energies ◽  
2020 ◽  
Vol 13 (6) ◽  
pp. 1364 ◽  
Author(s):  
Sławomir Francik ◽  
Adrian Knapczyk ◽  
Artur Knapczyk ◽  
Renata Francik
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Web Application ◽  
Modular Design ◽  
Renewable Energy Sources ◽  
Decision Support Tool ◽  
Total Energy Consumption ◽  
Support Tool ◽  
Energy Demands

The biomass is regarded as a part of renewable energy sources (RES), which can satisfy energy demands. Biomass obtained from plantations is characterized by low bulk density, which increases transport and storage costs. Briquetting is a technology that relies on pressing biomass with the aim of obtaining a denser product (briquettes). In the production of solid biofuels, the technological as well as material variables significantly influence the densification process, and as a result influence the end quality of briquette. This process progresses differently for different materials. Therefore, the optimal selection of process’ parameters is very difficult. It is necessary to use a decision support tool—decision support system (DSS). The purpose of the work was to develop a decision support system that would indicate the optimal parameters for conducting the process of producing Miscanthus and willow briquettes (pre-comminution, milling and briquetting), briquette parameters (durability and specific density) and total energy consumption based on process simulation. Artificial neural networks (ANNs) were used to describe the relationship between individual parameters of the briquette production process. DSS has the form of a web application and is opened from a web browser (it is possible to open it on various types of devices). The modular design allows the modification and expansion the application in the future.

scholarly journals Determining Goods Delivery Priority for Transportation Service Companies Using SAW Method

2021 ◽  
Vol 3 (2) ◽  
pp. 256-262
Author(s):  
Sumaizar Sumaizar ◽  
Kalvin Sinaga ◽  
Eko Deswin Siringo-ringo ◽  
Victor Marudut Mulia Siregar
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
System Approach ◽  
Decision Support Tool ◽  
Support Tool ◽  
Service Companies ◽  
Transportation Service ◽  
Simple Additive Weighting

This research was conducted aiming to overcome the problem of the effectiveness of the delivery of goods by the Cendrawasi Expeditionary Company which at this time still does not use a decision support system approach. For the process of delivering goods to customers to be carried out effectively, a decision support system is designed that functions to determine the priority of goods to be delivered first. This problem is solved by designing a decision support system using the Simple Additive Weighting (SAW) method which serves to help the Cendrawasi Expeditionary company get recommendations for priority delivery of goods. The SAW method is very appropriate to be used as a decision support tool where in this study three alternative choices of goods that must be delivered first were obtained, namely plywood with a preference value of 99,6, mattress with a preference value of 83,55, and PVC pipes with a preference value of 79,35.

Applied Study on the Mine Production & Management Decision Support System Based on Data Warehouse

2010 ◽  
Vol 102-104 ◽  
pp. 900-904 ◽  
Author(s):  
Xue Feng Li ◽  
Shu Yu Zhong
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Data Warehouse ◽  
Support System ◽  
Production Management ◽  
Decision Support Tool ◽  
Management Decision ◽  
Support Tool ◽  
Mine Production ◽  
Management Decision Support

With accumulating data in mine production, integration of the existing separate information systems is of great importance in enhancement of both production management and support decision-making. BIStar, a production & management decision support system base on data warehouse technology was developed as a user-friendly data analysis, display and decision support tool, and was presented with illumination of its main framework and detailed discussion of its certain key points of the subsystem, such as data acquisition system, central database system, access tools. An application example of information analysis conducted by a large mine corporation was also cited for analysis of feasibility & cost-effectiveness.

scholarly journals ANALISIS PENGGUNAAN DANA PROGRAM DESA MAJU INHIL JAYA (DMIJ) DENGAN METODE ANALYTICAL HIERARCHY PROCESS

2019 ◽  
Vol 5 (3) ◽  
pp. 170
Author(s):  
Muh. Rasyid Ridha
Keyword(s):  
Decision Support ◽  
Support System ◽  
Decision Support Tool ◽  
Careful Analysis ◽  
Interactive System ◽  
Regional Government ◽  
Government Program ◽  
Support Tool ◽  
Village Communities ◽  
Village Government

The ability to make fast and careful decisions will be the key to success in global competition and to make a decision certainly requires a careful analysis and calculation, depending on the many criteria that affect the problems that require a decision. Taking a decision with many criteria requires a special way of handling. For this reason, a model is needed before a decision is made. The DMIJ Systematics Program is a District Government Program through the Empowerment approach by streamlining the functions of the Village Government, Village Institutions and Village Communities to plan, implement, preserve and supervise development in a participatory manner. To help in solving these problems there needs to be a decision support system. Decision support system is an interactive system that supports decisions in the decision making process through alternatives obtained from the results of data processing, information and model design. AHP is a decision support tool that can be used to solve complex decisions. The application of the AHP method in the development of decision support systems for  the  use  of  DMIJ  regional  government  program  funds  is  determined  by  4  criteria: infrastructure, welfare, health, and education. The final result of this research is the type of activity that becomes the main priority to be used as a priority for the use of the budget in the DMIJ  regional  government  program  is  the  Supporting  Road.  Priorities  obtained  by  the Supporting Road (JPN) with a total value of 0.404 or 40.4%. The most influential indicators were Infrastructure at 56.3%, then Kesra at 25.1%, Health 6.1% and, Education at 12.5%. Keywords : Use of Funds, DMIJ, SPK, AHP

scholarly journals SISTEM PENDUKUNG KEPUTUSAN PENERIMAAN CALON MAHASISWA BARU JALUR PRESTASI DI SEKOLAH TINGGI TEKNOLOGI ADISUTJIPTO MENGGUNAKAN SIMPLE MULTI ATTRIBUTERATING TECHNIQUE

2017 ◽  
Vol 7 (2) ◽  
pp. 31
Author(s):  
Anton Setiawan Honggowibowo
Keyword(s):  
Information Technology ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Decision Support Tool ◽  
Educational Institutions ◽  
Web Based ◽  
Support Tool ◽  
New Students

In the era of globalization, educational institutions are required to follow the development of information technology. Information technology required and can be applied as a decision support tool managerial activities at the college. This research aims to develop a decision support system for the Sekolah Tinggi Teknologi Adisutjipto (STTA), namely the acceptance of new students, especially the path of achievement, using the Simple Multi Attribute Rating Technique of Web based, where in the method is choosing alternative criteria that have value and weight has been determined, getting the new students he deserves. Based on the results of testing the system, it was concluded that the method is Simple Multi Attribute Rating Technique is effective enough to be applied in determining the admission of new students in STTA.

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