Inventory management strategies for the Calabrian hospitals system

2020 ◽  
Vol 54 (3) ◽  
pp. 795-813
Author(s):  
Francesca Guerriero ◽  
Giovanna Miglionico ◽  
Filomena Olivito
Keyword(s):  
Health Care ◽  
Decision Making ◽  
Mathematical Models ◽  
Inventory Management ◽  
Health Care System ◽  
Management Strategies ◽  
Real Data ◽  
Decision Making Process ◽  
New Model ◽  
Testing Phase

This paper addresses some inventory management problems arising in the Italian health care system. We aim at defining inventory management strategies for the hospitals located in Calabria, a Region in the South of Italy. We present some classical inventory management formulations together with the description of a new model, devised to take into account some peculiarities of the case under study. An extensive testing phase is carried out on real data. Numerical results show that the use of the presented mathematical models can be valuable in the decision making process.

scholarly journals Unmasking a health care system: the Dutch policy response to the Covid-19 crisis

2021 ◽  
pp. 1-10 ◽  
Author(s):  
Iris Wallenburg ◽  
Jan-Kees Helderman ◽  
Patrick Jeurissen ◽  
Roland Bal
Keyword(s):  
Health Care ◽  
Decision Making ◽  
Health Care System ◽  
Health Care Systems ◽  
Economic Policies ◽  
Hard Time ◽  
Dutch Health ◽  
Care Systems ◽  
Policy Systems ◽  
Care System

Abstract The Covid-19 pandemic has put policy systems to the test. In this paper, we unmask the institutionalized resilience of the Dutch health care system to pandemic crisis. Building on logics of crisis decision-making and on the notion of ‘tact’, we reveal how the Dutch government initially succeeded in orchestrating collective action through aligning public health purposes and installing socio-economic policies to soften societal impact. However, when the crisis evolved into a more enduring one, a more contested policy arena emerged in which decision-makers had a hard time composing and defending a united decision-making strategy. Measures have become increasingly debated on all policy levels as well as among experts, and conflicts are widely covered in the Dutch media. With the 2021 elections ahead, this means an additional test of the resilience of the Dutch socio-political and health care systems.

scholarly journals Understanding the perspectives of older adults and elderly regarding vaccination; a snapshot in four European countries

2019 ◽  
Vol 29 (Supplement_4) ◽  
Author(s):  
A Timen ◽  
R Eilers ◽  
S Lockhart ◽  
R Gavioli ◽  
S Paul ◽  
...  
Keyword(s):  
Older Adults ◽  
Health Care ◽  
Decision Making ◽  
Infectious Diseases ◽  
Health Care Professionals ◽  
Elderly Care ◽  
European Countries ◽  
Decision Making Process ◽  
Ageing Population ◽  
Syncytial Virus

Abstract Prevention of infectious diseases in elderly by immunization is a prerequisite to ensuring healthy ageing. However, in order for the vaccine programs to be effective, these need to be provided by health care professionals who have up-to-date knowledge and high motivation. Furthermore, the knowledge and attitudes towards vaccination in the targeted age groups needs to be fully understood. When focusing on the information provision, it is important to know from whom or which institution older adults and elderly would like to receive and in which form. In January 2019, an international project called the VITAL (The Vaccines and InfecTious diseases in the Ageing population) project was started, within the framework of IMI (Innovative Medicines Initiatives). One of the goals of the VITAL project is to develop strategies to educate and train health care professionals (HCPs) and to promote awareness among stakeholders involved in elderly care management. We briefly focus on the results of studies undertaken in four European countries (Italy, France, The Netherlands and Hungary), which reveal the perspective of older adults and elderly regarding influenza, pneumococcal, herpes zoster vaccination and respiratory syncytial virus (RSV) as well as generic characteristics of the vaccines and diseases. We will show how attitudes towards vaccination are represented in our study population and which determinants influence the decision-making process of accepting vaccination. Furthermore, we shall elaborate on how the decision-making process towards vaccination takes place and which additional information is needed. In the second part of the session, we shall invite the audience to reflect on the findings and identify the factors they consider most important for setting up a training and education programme on vaccination.

Hospital Units Merging Reasons for Conflicts in the Human Resources

2016 ◽  
pp. 202-227
Author(s):  
Athanasia Stamatopoulou ◽  
Eleni Stamatopoulou ◽  
Denis Yannacopoulos
Keyword(s):  
Health Care ◽  
Decision Making ◽  
Human Resources ◽  
Health Care System ◽  
Management Systems ◽  
Ministry Of Health ◽  
Negative Results ◽  
Hospital Units ◽  
The Government ◽  
Of Greece

The necessity for the control of expenses of health and the reduction of cost, led the Ministry of Health and the government of Greece to the decision-making for fusions of hospitals units of health following the new tendency of health's policy that prevails also in other countries. The research purpose was to appoint the positive and negative results from the fusions of hospitals. Any changes in the health care system aim at the reduction of expenses, however, they constitute the most frequent causes of conflicts among employees. The Hospital is characterized as a natural space for the growth of conflicts. Despite the oppositions that are recorded as for the positive and negative results, it appears finally that through the fusions, resources have been saved, management systems have been improved but in the same time, conflicts in the labour place between the individuals and the teams recruiting hospitals have been aggravated.

Support for Compromise in Principle and in Practice

2020 ◽  
pp. 176-203
Author(s):  
Jennifer Wolak
Keyword(s):  
Health Care ◽  
Decision Making ◽  
Domestic Violence ◽  
Education Reform ◽  
Health Care Policy ◽  
Policy Outcomes ◽  
Decision Making Process ◽  
Care Policy ◽  
Specific Policy ◽  
Domestic Violence Legislation

This chapter reports a set of experiments that consider people’s appraisals of specific policy compromises in Congress, focusing on whether people like compromises less once they understand what types of policy concessions they entail. Drawing on recent congressional compromises on domestic violence legislation, education reform, and health-care policy, the experiments test whether people evaluate Congress and its policy outcomes differently when bills are represented as compromises where both sides made concessions in order to achieve policy gains. The results show that people are disappointed when they learn that a bill failed to pass due to members of Congress refusing to compromise. Members of Congress do not seem to be penalized for their support of compromise legislation. Policy compromises serve to boost the perceived legitimacy of the decision-making process, particularly among those who are ideologically opposed to the outcome.

Simulation of consumers decision-making process using agent-based model approach

2019 ◽  
Vol 10 (06) ◽  
pp. 1950037
Author(s):  
Daniel Soto Forero ◽  
Yony F. Ceballos ◽  
German Sànchez Torres
Keyword(s):  
Decision Making ◽  
Fuzzy Logic ◽  
Real Data ◽  
World Market ◽  
Decision Making Process ◽  
Agent Based ◽  
Dynamic Social Network ◽  
Proposed Model ◽  
The World ◽  
Model Approach

This paper describes a model to simulate the decision-making process of consumers that adopts technology within a dynamic social network. The proposed model use theories and tools from the psychology of consumer behavior, social networks and complex dynamical systems like the Consumat framework and fuzzy logic. The model has been adjusted using real data, tested with the automobile market and it can recreate trends like those described in the world market.

scholarly journals Social and Health System Complexities Impacting on Decision-Making for Utilization of Oncology and Palliative Care in an African Context: A Qualitative Study

2019 ◽  
Vol 35 (3) ◽  
pp. 185-191 ◽  
Author(s):  
David A. Agom ◽  
Stuart Allen ◽  
Sarah Neill ◽  
Judith Sixsmith ◽  
Helen Poole ◽  
...  
Keyword(s):  
Health Care ◽  
Decision Making ◽  
Palliative Care ◽  
Qualitative Study ◽  
Health Care System ◽  
Health Care Professionals ◽  
Care Delivery ◽  
Semistructured Interview ◽  
Design Data ◽  
Care System

Background: There is a dearth of research focusing on identifying the social complexities impacting on oncology and palliative care (PC), and no study has explored how the health-care system in Nigeria or other African contexts may be influencing utilization of these services. Aim: This study explored how social complexities and the organization of health-care influenced the decision-making process for the utilization of oncology and PC in a Nigerian hospital. Methods: This qualitative study used an interpretive descriptive design. Data were collected using semistructured interview guides with 40 participants, comprising health-care professionals, patients, and their families. Thematic analysis was conducted to generate and analyze patterns within the data. Findings: Three themes were identified: dysfunctional structural organization of the health-care delivery system, service-users’ economic status, and the influence of social networks. The interrelationship between the themes result in patients and their family members decisions either to present late to the hospital, miss their clinical appointments, or not to seek oncological health care and PC. Conclusion: This article offers insights into the role of the health-care system, as organized currently in Nigeria, as “autoinhibitory” and not adequately prepared to address the increasing burden of cancer. We therefore argue that there is a need to restructure the Nigerian health-care system to better meet the needs of patients with cancer and their families as failure to do so will strengthen the existing inequalities, discourage usage, and increase mortality.

scholarly journals A Novel Fuzzy Algorithm to Introduce New Variables in the Drug Supply Decision-Making Process in Medicine

Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-15 ◽  
Author(s):  
Jose M. Gonzalez-Cava ◽  
José Antonio Reboso ◽  
José Luis Casteleiro-Roca ◽  
José Luis Calvo-Rolle ◽  
Juan Albino Méndez Pérez
Keyword(s):  
Decision Making ◽  
Fuzzy Inference System ◽  
Fuzzy Inference ◽  
Real Data ◽  
Clinical Variable ◽  
Decision Making Process ◽  
Drug Supply ◽  
Inference System ◽  
Surgical Interventions ◽  
Physiological Signal

One of the main challenges in medicine is to guarantee an appropriate drug supply according to the real needs of patients. Closed-loop strategies have been widely used to develop automatic solutions based on feedback variables. However, when the variable of interest cannot be directly measured or there is a lack of knowledge behind the process, it turns into a difficult issue to solve. In this research, a novel algorithm to approach this problem is presented. The main objective of this study is to provide a new general algorithm capable of determining the influence of a certain clinical variable in the decision making process for drug supply and then defining an automatic system able to guide the process considering this information. Thus, this new technique will provide a way to validate a given physiological signal as a feedback variable for drug titration. In addition, the result of the algorithm in terms of fuzzy rules and membership functions will define a fuzzy-based decision system for the drug delivery process. The method proposed is based on a Fuzzy Inference System whose structure is obtained through a decision tree algorithm. A four-step methodology is then developed: data collection, preprocessing, Fuzzy Inference System generation, and the validation of results. To test this methodology, the analgesia control scenario was analysed. Specifically, the viability of the Analgesia Nociception Index (ANI) as a guiding variable for the analgesic process during surgical interventions was studied. Real data was obtained from fifteen patients undergoing cholecystectomy surgery.

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