An Agent-Based Decision Support Environment for Public Health

2015 ◽  
pp. 229-230 ◽  
Author(s):  
Viviane Maria Lelis Carvalho
Keyword(s):  
Public Health ◽  
Decision Support ◽  
Agent Based

Similarity-Based Decision Support for Internet Enabled Supply-Web Interactions

1998 ◽  
Author(s):  
Raj Veeramani ◽  
Narayanan Viswanathan ◽  
Shailesh M. Joshi
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Manufacturing Industry ◽  
Job Shop ◽  
The Internet ◽  
Agent Based ◽  
New Approaches ◽  
Effective Decision ◽  
Use Of The Internet ◽  
Effective Decision Making

Abstract New approaches for decision making are emerging to support the use of the Internet for supply-web interactions in the manufacturing industry. In this paper, we discuss one such paradigm, namely similarity-based decision support. It recognizes that knowledge of similar experiences can support rapid and effective decision making in various forms of supply-web interactions. We illustrate this approach using two prototype systems, WebScout (an agent-based system for customer–supplier matchmaking in the job-shop machining industry context) and TOME (Treasury of Manufacturing Experiences — an Intranet application to aid manufacturability assessment in foundries).

scholarly journals The Changing Nature of Clinical Decision Support Systems: a Focus on Consumers, Genomics, Public Health and Decision Safety

2009 ◽  
Vol 18 (01) ◽  
pp. 84-95 ◽  
Author(s):  
A. Y. S. Lau ◽  
G. Tsafnat ◽  
V. Sintchenko ◽  
F. Magrabi ◽  
E. Coiera
Keyword(s):  
Public Health ◽  
Decision Support ◽  
Decision Support Systems ◽  
Clinical Decision Support ◽  
Support Systems ◽  
Clinical Decision Support Systems ◽  
Genetic Data ◽  
Clinical Decision ◽  
Translational Bioinformatics ◽  
The Impact

Summary Objectives To review the recent research literature in clinical decision support systems (CDSS). Methods A review of recent literature was undertaken, focussing on CDSS evaluation, consumers and public health, the impact of translational bioinformatics on CDSS design, and CDSS safety. Results In recent years, researchers have concentrated much less on the development of decision technologies, and have focussed more on the impact of CDSS in the clinical world. Recent work highlights that traditional process measures of CDSS effectiveness, such as document relevance are poor proxy measures for decision outcomes. Measuring the dynamics of decision making, for example via decision velocity, may produce a more accurate picture of effectiveness. Another trend is the broadening of user base for CDSS beyond front line clinicians. Consumers are now a major focus for biomedical informatics, as are public health officials, tasked with detecting and managing disease outbreaks at a health system, rather than individual patient level. Bioinformatics is also changing the nature of CDSS. Apart from personalisation of therapy recommendations, translational bioinformatics is creating new challenges in the interpretation of the meaning of genetic data. Finally, there is much recent interest in the safety and effectiveness of computerised physicianorderentry (CPOE) systems, given that prescribing and administration errors are a significant cause of morbidity and mortality. Of note, there is still much controversy surrounding the contention that poorly designed, implemented or used CDSS may actually lead to harm. Conclusions CDSS research remains an active and evolving area of research, as CDSS penetrate more widely beyond their traditional domain into consumer decision support, and as decisions become more complex, for example by involving sequence level genetic data.

‘Decolonising’ the clinical encounter via multi-criteria decision support (Preprint)

2021 ◽  
Author(s):  
Jack Dowie ◽  
Mette Kjer Kaltoft
Keyword(s):  
Public Health ◽  
Decision Support ◽  
Health Service ◽  
Decision Analysis ◽  
Public Health Service ◽  
Communicative Action ◽  
Clinical Encounter ◽  
Mutual Understanding ◽  
Decision Support Framework ◽  
Strategic Rationality

UNSTRUCTURED According to researchers drawing on the ideas of Jürgen Habermas, Canadian patients and Danish General Practitioners are experiencing ‘colonisation’ of their ‘lifeworlds’ by ‘the system’, Their suggested remedy is to ensure that the clinical encounter, freed of strategic rationality, re-prioritises Habermasian ‘communicative action’ aimed at mutual understanding. However, Blau shows that such communicative action is, and should be, inextricably interwoven into means-end rationality, when Habermas’ caricature of the latter is rejected. We argue that the decision support framework provided by Multi-Criteria Decision Analysis can help produce the ‘communicative means-end rationality’ essential in a public health service based on role-respecting sincerity and autonomy. No ‘positivistic reduction’ is involved in the technique.

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