scholarly journals Decision-Support Systems For Ambulatory Care, Including Pandemic Requirements: Using Mathematically Optimized Solutions

2021 ◽  
Author(s):  
Neele Leithäuser ◽  
Dennis Adelhütte ◽  
Kristin Braun ◽  
Christina Büsing ◽  
Martin Comis ◽  
...  
Keyword(s):  
Decision Support ◽  
Decision Support Systems ◽  
Ambulatory Care ◽  
Support Systems ◽  
Alternative Solution ◽  
Healthcare Sector ◽  
Decision Support Tools ◽  
Transport Services ◽  
Support Tools ◽  
Planning Problems

Abstract Background: The healthcare sector poses many strategic, tactic and operational planning questions. Due to the historically grown structures, planning is often locally confined and much optimization potential is foregone. Methods: We implemented optimized decision-support systems for ambulatory care for four different real-world case studies that cover a variety of aspects in terms of planning scope and decision support tools. All are based on interactive cartographic representations and are being developed in cooperation with domain experts. The planning problems that we present are the problem of positioning centers for vaccination against Covid-19 (strategical) and emergency doctors (strategical/tactical), the out-of-hours pharmacy planning problem (tactical), and the route planning of patient transport services (operational). For each problem, we describe the planning question, give an overview of the mathematical model and present the implemented decision support application. Results: Mathematical optimization can be used to model and solve these planning problems. However, in order to convince decision-makers of an alternative solution structure, mathematical solutions must be comprehensible and tangible. Appealing and interactive decision-support tools can be used in practice to convince public health experts of the benefits of an alternative solution. The more strategic the problem and the less sensitive the data, the easier it is to put a tool into practice. Conclusions: Exploring solutions interactively is rarely supported in existing planning tools. However, in order to bring new innovative tools into productive use, many hurdles must be overcome.

Decision Support Tools Aid School Nursing Practice

2002 ◽  
Vol 18 (3) ◽  
pp. 170-173 ◽  
Author(s):  
Angela Lewis ◽  
Fran Belmonte-Mann
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support Systems ◽  
Nursing Practice ◽  
Support Systems ◽  
School Nurses ◽  
Decision Support Tools ◽  
Client Care ◽  
Use Of Technology ◽  
Support Tools

The purpose of this article is to explain the use of technology as a tool to aid the school nurse’s decision-making process. This article demonstrates how decision support tools improve school nurses’ decision making regarding client care and nursing practice. Various decision support systems are discussed, examples provided, and the underlying technology explained. A listing of decision support systems and specific applications for school nurses are reviewed.

Intelligence Density

2011 ◽  
pp. 630-633
Author(s):  
David Sundaram ◽  
Victor Portougal
Keyword(s):  
Data Mining ◽  
Decision Support ◽  
Decision Support Systems ◽  
Support Systems ◽  
Data Warehousing ◽  
Decision Makers ◽  
Decision Support Tools ◽  
Amount Of Information ◽  
Support Tools ◽  
The World

The amount of information that decision makers have to process has been increasing at a tremendous pace. A few years ago it was suggested that information in the world was doubling every 16 months. The very volume has prevented this information from being used effectively. Another problem that compounds the situation is the fact that the information is neither easily accessible nor available in an integrated manner. This has led to the oft-quoted comment that though computers have promised a fount of wisdom they have swamped us with a flood of data. Decision Support Systems (DSS) and related decision support tools like data warehousing and data mining have been used to glean actionable information and nuggets from this flood of data.

scholarly journals Decision support systems in Slovak forestry planning: a review / Systémy na podporu rozhodovania v lesníckom plánovaní na Slovensku: prehľad

2015 ◽  
Vol 61 (1) ◽  
pp. 19-30 ◽  
Author(s):  
Ján Tuček ◽  
Róbert Sedmák ◽  
Andrea Majlingová ◽  
Maroš Sedliak ◽  
Susete Marques
Keyword(s):  
Decision Support ◽  
Forest Management ◽  
Decision Support Systems ◽  
Support Systems ◽  
Computer Based ◽  
Management Techniques ◽  
Planning Problems ◽  
Support Decision Making ◽  
Support Research

Abstract Project COST Action FP 0804 - FORSYS summarizes European experiences in developing and applying decision support systems for forest management. This paper introduces FORSYS methodology for the classification of current forest management problems and for the description of existing decision support systems. The paper identifies the general forestry planning problems that need to be solved in Slovakia, lists the DSS tools available in Slovakia and evaluate their ability for addressing the identified problems. Finally, the research needs and gaps in this field were identified. A comparison of the situation regarding decision support in Slovakia and both in Europe and neighbouring countries (Austria, Hungary) is introduced in order to justify the identified needs. The paper is focused on the overview of models, methods and knowledge management techniques which are available in Slovakia now. We found out that the Slovak decision support research follows the state in Europe with a significant time delay and a lack of adequate instruments for addressing the contemporary planning problems exists. Consequently, there is a strong need for the development and application of computer-based tools to support decision-making problems in forest management.

Engineering Mobile Group Decision Support

2011 ◽  
pp. 86-102 ◽  
Author(s):  
Reinhard Kronsteiner
Keyword(s):  
Decision Support ◽  
Decision Support Systems ◽  
Group Decision ◽  
Support Systems ◽  
Decision Processes ◽  
Group Decision Support ◽  
Problem Space ◽  
Support Tools ◽  
Group Compositions ◽  
Collaborative Decision

This chapter investigates the potential of mobile multimedia for group decisions. Decision support systems can be categorized based on the complexity of the decision problem space and group composition. The combination of the dimensions of the problem space and group compositions in mobile environments in terms of time, spatial distribution, and interaction will result in a set of requirements that need to be addressed in different phases of decision process. Mobility analysis of group decision processes leads to the development of appropriate mobile group decision support tools. In this chapter, we explore the different requirements for designing and implementing a collaborative decision support systems.

Web-Based Expert Geographical Information System for Advanced Transportation Management Systems

2000 ◽  
Vol 1719 (1) ◽  
pp. 200-208 ◽  
Author(s):  
Kaan Özbay ◽  
Shirsendu Mukherjee
Keyword(s):  
Decision Support ◽  
Real Time ◽  
Support System ◽  
Support Systems ◽  
Management Systems ◽  
Incident Management ◽  
Decision Support Tools ◽  
Web Based ◽  
Transportation Management ◽  
Support Tools

The Internet is fast becoming the standard environment for client-server applications that involve multiple users. The proliferation of Internet-based application development tools opens new doors to transportation researchers who work in real-time decision support system development. In the 1990s, one of the most important problems in advanced transportation management systems research was the development of better incident management systems. Although the incident management process has been well studied, the development of real-time decision support systems that can be used by all the involved agencies remains a challenging area of transportation engineering research. Existing incident management systems are developed on various traditional computing platforms, including UNIX and Windows. However, with the advent of the World Wide Web and Internet-based programming tools such as Java, it is possible to develop platform independent decision support tools for the incident management agencies. Web-based support tools offer an invaluable opportunity to develop next-generation online decision support tools for real-time traffic management. The applicability of Web-based tools to the development of online decision support systems for incident management is explored and demonstrated, and a prototype incident management decision support system (DSS) that has most of the capabilities of similar UNIX-based DSS support systems is developed and tested. Briefly described are the implementation and development of a prototype wide-area incident management system using Web-based tools.

scholarly journals Using EMR-enabled computerized decision support systems to reduce prescribing of potentially inappropriate medications: a narrative review

2018 ◽  
Vol 9 (9) ◽  
pp. 559-573 ◽  
Author(s):  
Ian A. Scott ◽  
Peter I. Pillans ◽  
Michael Barras ◽  
Christopher Morris
Keyword(s):  
Decision Support ◽  
Decision Support Systems ◽  
Ambulatory Care ◽  
Outcome Measures ◽  
Older Patients ◽  
Support Systems ◽  
Narrative Review ◽  
Residential Aged Care ◽  
Potentially Inappropriate Medications ◽  
Inappropriate Medications

Prescribing of potentially inappropriate medications (PIMs) that pose more risk than benefit in older patients is a common occurrence across all healthcare settings. Reducing such prescribing has been challenging despite multiple interventions, including educational campaigns, audits and feedback, geriatrician assessment and formulary restrictions. With the increasing uptake of electronic medical records (EMRs) across hospitals, clinics and residential aged care facilities (RACFs), integrated with computerized physician order entry (CPOE) and e-prescribing, opportunities exist for incorporating clinical decision support systems (CDSS) into EMR at the point of care. This narrative review assessed the process and outcomes of using EMR-enabled CDSS to reduce the prescribing of PIMs. We searched PubMed for relevant articles published up to January 2018 and focused on those that described EMR-enabled CDSS that assisted prescribers to make changes at the time of ordering PIMs in adults. Computerized systems offering only medication reconciliation, dose checks, monitoring for medication errors, or basic formulary information were not included. In addition to outcome measures of medication-related processes and adverse drug events, qualitative data relating to factors that influence effectiveness of EMR-enabled CDSS were also gathered from selected studies. We analysed 20 studies comprising 10 randomized trials and 10 observational studies performed in hospitals ( n = 8), ambulatory care clinics ( n = 9) and RACFs ( n = 3). Studies varied in patient populations (although most involved older patients), type of CDSS, method of linkage with EMR, study designs and outcome measures. However, assuming little publication bias, the totality of evidence favoured EMR-enabled CDSS as being effective in reducing the prescribing of PIMs in hospitals, although results were more mixed for ambulatory care settings and RACFs. While absolute effects in most positive studies were modest, they suggest EMR-enabled CDSS are feasible and acceptable to clinicians, and if certain design features are adhered to, there is potential for even greater impact.

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