scholarly journals Application d’une méthode d’étude quantitative et qualitative des rejets liquides hospitaliers au niveau de la Région de Marrakech Tensift El Haouz, Maroc

2016 ◽  
Vol 12 (32) ◽  
pp. 110
Author(s):  
Qadouri Asmaa ◽  
Mouhir Latifa ◽  
Belkadi Mohammed Said
Keyword(s):  
Health Care ◽  
Drinking Water ◽  
Decision Support ◽  
Decision Support Tool ◽  
Private Health Care ◽  
Sewer System ◽  
Public And Private ◽  
Support Tool ◽  
Hospital Effluent ◽  
The City

This study led to the development of a decision support tool to quantify the hospital effluent generated by public and private health care establishments in the region of Marrakech-Tensift-El Haouz situated in Morocco. The estimation concerns the consumption in drinking water, the production in wastewater and on the most consummate products collectively in the whole of the establishments of care and which join the sewer system (cleaner, soap, washing, Glutaraldehyde) based on the capacity litter, the hospitable vocations and the production rate. By having the results of quantification of the deposit rejected in the municipal network, the present study estimates then for the case of the city of Marrakesh the part of contribution of the hospital effluent in the municipal pollution.

scholarly journals Optimization of Decision Support Tool using Medication Regimens to Assess Rehospitalization Risks

2014 ◽  
Vol 05 (03) ◽  
pp. 773-788 ◽  
Author(s):  
M. Dierich ◽  
T. Adam ◽  
B.L Westra ◽  
C.H. Olson
Keyword(s):  
Health Care ◽  
Decision Support ◽  
Elderly Patients ◽  
Hospital Readmissions ◽  
Decision Support Tool ◽  
Potentially Inappropriate Medications ◽  
Support Tool ◽  
Cut Point ◽  
Medication Regimen Complexity ◽  
Automated Algorithm

Summary Background: Unnecessary hospital readmissions are costly for the U.S. health care system. An automated algorithm was developed to target this problem and proven to predict elderly patients at greater risk of rehospitalization based on their medication regimens. Objective: Improve the algorithm for predicting elderly patients’ risks for readmission by optimizing the sensitivity of its medication criteria. Methods: Outcome and Assessment Information Set (OASIS) and medication data were reused from a study that defined and tested an algorithm for assessing rehospitalization risks of 911 patients from 15 Medicare-certified home health care agencies. Odds Ratio analyses, literature reviews and clinical judgments were used to adjust the scoring of patients’ High Risk Medication Regimens (HRMRs). Receiver Operating Characteristic (ROC) analysis evaluated whether these adjustments improved the predictive strength of the algorithm’s components. Results: HRMR scores are composed of polypharmacy (number of drugs), potentially inappropriate medications (PIM) (drugs risky to the elderly), and Medication Regimen Complexity Index (MRCI) (complex dose forms, dose frequency, instructions or administration). Strongest ROC results for the HRMR components were Areas Under the Curve (AUC) of .68 for polypharmacy when excluding supplements; and .60 for PIM and .69 for MRCI using the original HRMR criteria. The “cut point” identifying MRCI scores as indicative of medication-related readmission risk was increased from 20 to 33. Conclusion: The automated algorithm can predict elderly patients at risk of hospital readmissions and its underlying criteria is improved by a modification to its polypharmacy definition and MRCI cut point. Citation: Olson CH, Dierich M, Adam T, Westra BL. Optimization of decision support tool using medication regimens to assess rehospitalization risks. Appl Clin Inf 2014; 5: 773–788http://dx.doi.org/10.4338/ACI-2014-04-RA-0040

scholarly journals Factors Affecting Health Care Engagement of Patients With End-Stage Heart Failure: An Exploratory Survey Study

2019 ◽  
Vol 4 (2) ◽  
pp. 238146831986551
Author(s):  
Lisa Carey Lohmueller ◽  
Aakanksha Naik ◽  
Luke Breitfeller ◽  
Colleen K. McIlvennan ◽  
Manreet Kanwar ◽  
...  
Keyword(s):  
Heart Failure ◽  
Health Care ◽  
Decision Making ◽  
Decision Support ◽  
Information Seeking ◽  
Decision Support Tool ◽  
Treatment Decisions ◽  
Support Tool ◽  
End Stage Heart Failure ◽  
End Stage

Background. The decision to receive a permanent left ventricular assist device (LVAD) to treat end-stage heart failure (HF) involves understanding and weighing the risks and benefits of a highly invasive treatment. The goal of this study was to characterize end-stage HF patients across parameters that may affect their decision making and to inform the development of an LVAD decision support tool. Methods. A survey of 35 end-stage HF patients at an LVAD implant hospital was performed to characterize their information-seeking habits, interaction with physicians, technology use, numeracy, and concerns about their health. Survey responses were analyzed using descriptive statistics, grounded theory method, and Bayesian network learning. Results. Most patients indicated an interest in using some type of decision support tool (roadmap of health progression: 46%, n = 16; personal prognosis: 51%, n = 18; short videos of patients telling stories of their experiences with an LVAD: 57%, n = 20). Information patients desired in a hypothetical decision support tool fell into the following topics: prognoses for health outcomes, technical information seeking, expressing emotions, and treatment decisions. Desire for understanding their condition was closely related to whether they had difficult interpreting their electronic medical record in the past. Conclusions. Most patients reported interest in engaging in their health care decision making and seeing their prognosis and electronic health record information. Patients who were less interested in their own treatment decisions were characterized by having less success understanding their health information. Design of a decision support tool for potential LVAD patients should consider a spectrum of health literacy and include information beyond the technical specifications of LVAD support.

A decision support tool for technical processes optimization in drinking water treatment

2013 ◽  
Vol 52 (22-24) ◽  
pp. 4079-4088 ◽  
Author(s):  
Bouchra Lamrini ◽  
El Khadir Lakhal ◽  
Marie Véronique Le Lann
Keyword(s):  
Drinking Water ◽  
Decision Support ◽  
Water Treatment ◽  
Drinking Water Treatment ◽  
Decision Support Tool ◽  
Support Tool

scholarly journals Development of a Digital Decision Support Tool to Aid Participation of Children With Disabilities in Pediatric Rehabilitation Services: Explorative Qualitative Study (Preprint)

2019 ◽  
Author(s):  
Elin Vinblad ◽  
Ingrid Larsson ◽  
Maria Lönn ◽  
Emma Olsson ◽  
Jens M Nygren ◽  
...  
Keyword(s):  
Health Care ◽  
Decision Support ◽  
Young People ◽  
Children With Disabilities ◽  
People With Disabilities ◽  
Decision Support Tool ◽  
Rehabilitation Services ◽  
Pediatric Rehabilitation ◽  
Children And Young People ◽  
Support Tool

BACKGROUND Building a health care system in accordance with the rule of law requires child-centered care, where children and young people, regardless of ability, are allowed to participate in visits with their health care professionals. As part of an overall project focusing on developing and implementing a digital decision support tool to increase the participation of children with disabilities in pediatric rehabilitation, this study brings new knowledge as to how this specific patient group views participation. OBJECTIVE The aim of this formative study was to explore the experiences of children and young people with disabilities concerning increasing their participation in the pediatric rehabilitation services. METHODS The formative study had an explorative design, based on a latent qualitative content analysis with an inductive approach. Interviews were conducted with 20 children (6-17 years) and 8 young people (19-30 years) with disabilities about their experiences of participation in pediatric rehabilitation services. RESULTS A total of 3 categories emerged reflecting the participants’ possibilities of participation in the pediatric rehabilitation services: to feel involved, to feel independent, and to work in partnership. To feel involved meant being listened to and being connected, to feel independent meant being admitted and being enabled, and to work in partnership meant being supported and being able to entrust others with the decision making. With the overall theme <italic>moving toward empowerment of children in pediatric rehabilitation</italic>, a true feeling of participation can be experienced. CONCLUSIONS The views of children and young people with disabilities are that children should be given the prerequisites for empowerment by being allowed to feel involved and independent as well as to work in partnership to experience true participation in the pediatric rehabilitation services. This finding is essential in the design of a digital decision support tool based on the children’s needs and perspectives.

scholarly journals WEB-BASED DECISION SUPPORT TOOL FOR BUILDING-INTEGRATED SOLAR PHOTOVOLTAIC SYSTEMS

2020 ◽  
Vol V-4-2020 ◽  
pp. 109-114
Author(s):  
A. K. Adeleke ◽  
J. L. Smit
Keyword(s):  
Decision Support ◽  
Decision Support Tool ◽  
Photovoltaic Systems ◽  
Solar Photovoltaic ◽  
Web Based ◽  
Support Tool ◽  
Building Roof ◽  
Short Period ◽  
Building Integrated Photovoltaic ◽  
The City

Abstract. A web-based multi-criteria decision support tool is designed to support the planning, control and deployment of building-integrated photovoltaic (BIPV) in the City of Cape Town, South Africa. Solar energy is one of the renewable sources for generating electricity by means of photovoltaic systems, and it offers a viable and expedient means of generating electricity within a short period of time. Nevertheless, there are some impediments to the extensive deployment of solar photovoltaic systems. The most prominent among these are generation potential and the high capital cost of initial set-up. Hence, the location, design and yield of building-integrated photovoltaic systems have to be well thought-out before their deployment. The interactive web-based tool designed utilises JavaScript and Hypertext Mark-up Language (HTML) to implement a map mashup, which can be queried to retrieve vital information about the solar photovoltaic potential of a building roof. From results generated and the system developed, it becomes possible to remotely and sufficiently evaluate buildings in the city in order to make decisions about solar photovoltaic potentials, designs and installations.

scholarly journals A DECISION SUPPORT TOOL ON DERELICT BUILDINGS FOR URBAN REGENERATION

2018 ◽  
Vol IV-4/W7 ◽  
pp. 19-25
Author(s):  
I. Blečić ◽  
A. Cecchini ◽  
M. Minchilli ◽  
L. F. Tedeschi ◽  
G. A. Trunfio
Keyword(s):  
Decision Support ◽  
Economies Of Scale ◽  
Search Algorithm ◽  
Urban Regeneration ◽  
Decision Support Tool ◽  
Support Tool ◽  
Area Of Interest ◽  
The City ◽  
Selection Of

<p><strong>Abstract.</strong> We present a decision suppport tool for the comparison and selection of projects of integrated renovation of derelict buildings and areas for the purpose of urban regeneration. Each project is defined as a subset of derelict properties to renovate together with their respective designated use, and is scored by the decision support tool on two criteria: expected effort and estimated effectiveness in terms of improved urban capabilities in the urban area of interest. The expected effort is estimated as a global transformation cost, factoring in legal and management overhead costs as well as possible economies of scale. The effectiveness in evaluated in terms of extension of urban capabilities centred on walkable distances. We have implemented a bi-objective evolutionary search algorithm to address the computational complexity of the problem of search for efficient (non-dominated) projects over the two criteria. For the purpose of illustration, we present an example case-study application on the historical core of the city of Sassari, Italy.</p>

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