Supervision of the exercises in Physics in the Bachelor in Business Engineering
Supervision and grading of written exams, activities linked to the representation of the Faculty
Carrying out a PhD (preferred) in mathematics or in economics and/or management
Main Research Field : ECONOMICS
Sub Research Field : Physics
Required educational level: Master level in Physics or in Economics and/or Management. The requirements for accessing a PhD program at ULB also need to be met
Required Languages :
Français : excellent
English : excellent
‘autre langue’ : /
Interested ?
For more information, please contact Mr Philippe Emplit (E-mail: philippe.emplit@ulb.be).
Applications must be sent by e-mail to the rectorate of the Université Libre de Bruxelles (rectrice@ulb.be) and to the faculty deanship (dean-office-sbs-em@ulb.be).
They must include the following :
a motivation letter
a Curriculum vitae including a list of publications :
a note on the applicant’s PhD research project (4 pages)
two letters of reference
Equal opportunities policy
ULB’s personnel management policy is geared towards diversity and equal opportunities.
We recruit candidates on the basis of their skills, irrespective of age, gender, sexual orientation, origin, nationality, beliefs, disability, etc.
Would you like to be provided with reasonable accommodation in the selection procedure because of a disability, disorder, or illness? Please contact Marie Botty, the person in charge of diversity aspects for the academic and scientific staff (marie.botty@ulb.be). Be assured of the confidentiality of this information.
imec is the world-leading research and innovation hub in nanoelectronics and digital technologies. The combination of our widely acclaimed leadership in microchip technology and profound software and ICT expertise is what makes us unique. By leveraging our world-class infrastructure and local and global ecosystem of partners across a multitude of industries, we create groundbreaking innovation in application domains such as healthcare, smart cities and mobility, logistics and manufacturing, and energy.
As a trusted partner for companies, start-ups and universities we bring together close to 3,500 brilliant minds from over 70 nationalities. Imec is headquartered in Leuven, Belgium and also has distributed R&D groups at a number of Flemish universities, in the Netherlands, Taiwan, USA, China, and offices in India and Japan. All of these particular traits make imec to be a top-class employer.
University of Antwerp – imec IDLab Research group
The Internet & Data Lab (IDLab) is an imec research group at the University of Antwerp and Ghent University. IDLab focuses its research on internet technologies and data science. IDLab is a joint research initiative between Ghent University and the University of Antwerp. Bringing together 300 internet experts, we develop technologies outperforming current solutions for communication subsystems, high speed and low power networking, distributed computing and multimedia processing, machine learning, artificial intelligence and web semantics. Within Antwerp, where you will work, the overall IDLab research areas are machine learning and wireless networking. IDLab has a unique research infrastructure used in numerous national and international collaborations.
IDLab collaborates with many universities and research centers worldwide and jointly develops advanced technologies with industry (R&D centers from international companies, Flanders’ top innovating large companies and SMEs, as well as numerous ambitious startups).
For further development of the IDLab AI Systems team in the machine learning cluster, we are looking for a PhD candidate in Near-Sensor Artificial Intelligence for resource-constrained, distributed IoT and remote-sensing applications.
The AI Systems team advances machine learning algorithms for the next-generation of sustainable and neuromorphic compute devices. The team’s research areas include very low-power deep neural network frameworks (e.g., TinyML), sensor fusion, spiking neural networks and event-based computing, and hyperdimensional computing. Our goal is AI ubiquity through novel bio-inspired mechanisms that arise surprising intelligent functionality out of imperceptible devices. The team applies its AI solutions in domains such as autonomous vehicles, shipping and aerospace, industry 4.0, beyond-5G wireless, smart cities, and multimedia, and collaborates with influential industry partners in these domains.
The job
You will work actively on the preparation and defence of a PhD thesis on near-sensor neural networks with on-device adaptation and learning capabilities for distributed systems as part of a Horizon Europe project, OpenSwarm (Orchestration and Programming ENergy-aware and collaborative Swarms With AI-powered Reliable Methods).
Your research methodologies will include analysing, designing, and applying novel machine learning algorithms. You will consider the accuracy, performance, and hardware resource footprint of your algorithms to optimize them for ultra-low power devices. You will validate your research through experimental benchmarking of your algorithms in simulations, on hardware (microcontrollers, AI accelerators, and/or neuromorphic devices) as well as directly on industrial use cases.
You will tightly collaborate with Prof. Jeroen Famaey, Prof. Maarten Weyn, and IDLab colleagues working on advanced research in resource-efficient IoT, distributed systems, and ultra-low power AI.
You will publish and present results both at international conferences and in scientific journals.
You will contribute to national and international research projects in collaboration with key players in industry.
You will interface and collaborate on a technical level with research partners and will deploy your models in industrially relevant environments.
Job requirements
You have (or will receive within a few months) a Masters of Science degree, preferably in Computer Science, (Applied) Engineering, Mathematics, Physics, or related fields.
You are fluent in Python, machine learning and deep-learning tools.
You are comfortable in modelling complex applications using data driven and ML perspective in mind.
Knowledge of Spiking Neural Networks and Distributed AI is a plus.
Programming experience in C++ is a plus.
Having published in high-ranking conferences and journals in the field is an advantage.
You know how to prioritize and can deliver in time.
You are well-organized and able to autonomously plan and execute tasks.
You are a team player and have strong communication skills.
Your English is fluent, both speaking and writing.
You act with attention to quality, integrity, creativity, and cooperation.
imec is the world-leading research and innovation hub in nanoelectronics and digital technologies. The combination of our widely acclaimed leadership in microchip technology and profound software and ICT expertise is what makes us unique. By leveraging our world-class infrastructure and local and global ecosystem of partners across a multitude of industries, we create ground breaking innovation in application domains such as healthcare, smart cities and mobility, logistics and manufacturing, and energy.
As a trusted partner for companies, start-ups and universities we bring together close to 3,500 brilliant minds from over 70 nationalities. imec is headquartered in Leuven, Belgium and also has distributed R&D groups at a number of Flemish universities, in the Netherlands, Taiwan, USA, China, and offices in India and Japan. All of these particular traits make imec to be a top-class employer.
University of Antwerp – imec IDLab Research group
The Internet & Data Lab (IDLab) is an imec research group at the University of Antwerp and Ghent University. IDLab focuses its research on internet technologies and data science. IDLab is a joint research initiative between Ghent University and the University of Antwerp. Bringing together 300 internet experts, we develop technologies outperforming current solutions for communication subsystems, high speed and low power networking, distributed computing and multimedia processing, machine learning, artificial intelligence and web semantics. Within Antwerp, where you will work, the overall IDLab research areas are machine learning and wireless networking. IDLab has a unique research infrastructure used in numerous national and international collaborations.
IDLab collaborates with many universities and research centers worldwide and jointly develops advanced technologies with industry (R&D centers from international companies, Flanders’ top innovating large companies and SMEs, as well as numerous ambitious startups).
For further development of the IDLab Flexible Networking group, we are looking for a PhD candidate in the field of programmable and flexible 5G and beyond networks, as described in the next paragraphs.
The Job
You will work actively on the preparation and defence of a PhD thesis in the field of programmable and flexible 5G and beyond networks, focusing on the design, development and validation of innovative mechanisms for enhancing radio and core network functions towards supporting user mobility in challenging and heterogeneous smart city environments.
The work in this field will create a strong expertise in end-to-end 5G ecosystems that span a wide variety of network functions and virtualized resources, starting from the radio access networks, via network edge and transport, to the network core, thereby exploiting their openness and flexibility. In particular, 5G ecosystems are based on the 5th generation of the cellular communication system, which is gaining momentum while being deployed in the network infrastructure of mobile operators, thereby promising ultra-low latency and high bandwidth communication to mobile users, but also to vertical industries (e.g., automotive, transport and logistics, and e-health) that have stringent requirements for Quality of Service (QoS). As Network Function Virtualization (NFV) and Software Defined Networking (SDN) are the fundamental technologies for such systems, there is still an enormous potential to exploit when it comes to managing and orchestrating virtualized network infrastructure, i.e., functions and resources that 5G ecosystems are built upon.
The research will focus on designing and creating i) advanced techniques for distributed data collection from smart city environments (including sensors, edge computing nodes, radio and core networks, and users), ii) innovative mechanisms for managing virtualized 5G and beyond resources and service functions by leveraging on NFV and SDN technologies, the aforementioned data collection systems, as well as network intelligence with the use of machine learning techniques, and iii) optimized mobility algorithms that are enabling programmability of network flows that ultimately leads to improved mobility and service continuity. The use cases that will be designed for validation of such advanced mechanisms will focus on connected vehicles and vulnerable road users (VRUs), with an extremely strong component of hands-on experimentation within the available testbeds, such as CityLab and Smart Highway, as well as the in-house 5G testbeds.
You publish scientific articles related to the research project.
You carry out a limited number of teaching and research support tasks for the Electronics-ICT department at the Faculty of Applied Engineering and the IDLab research group.
Job requirements
The Job Requirements
You hold a Master’s degree in (Applied) Engineering, Electrical Engineering, Computer Science, Physics or equivalent, or you will have obtained it by the time you start working.
You can demonstrate excellent study results.
You have programming skills in any of the following programming languages: C, C++, Java, and Python. Moreover, experience with Bash, Matlab, Perl, and R, is a plus.
You have base-knowledge of computer networks, the protocol stack, and communications in general.
Knowledge about wireless systems (Wi-Fi, 4G, 5G, and beyond) and standardization bodies will be a plus.
Your teaching competencies are in line with the University of Antwerp’s educational vision.
Agritourism activities can provide the supplemental income necessary to allow for the preservation of small and mid-scale farms, ranches, and rural communities. It can be promoted as an outlet for local residents and tourists to experience direct contact and interaction with agriculture and natural resources. Increasing public interaction with local farms and ranches can promote an understanding and appreciation for the working landscapes that help maintain or enhance natural resources.
Long-term agritourism sustainability depends on preserving the quality of the nature-based environment that includes productive agriculture. The NRCS outlines six essential elements of agritourism sustainability – authenticity, fun, values, relationships, learning, and involvement. Many agritourism operators express a desire to educate visitors or as a tool for community outreach as some of the key motivating factors in implementing and managing their tourist-focused activities. The vast majority of the US population is not directly engaged in agriculture; agritourism efforts provide an opportunity for these individuals to engage with their local food system. These types of interactions may empower individuals to make more sustainable food and lifestyle choices and can increase the extent of rural advocacy among city dwellers.
Permitting issues, environmental health regulations, and liability or insurance concerns were the three most prominent factors limiting the implementation of agritourism. The University of California Agricultural Issues Center found that the the permitting system was overwhelmingly viewed by farm operators as misleading, time-consuming, or costly (AIC Issues brief). In order to obtain clearances, permits, and licenses, operators must follow a planning and permitting process that addresses land-use development, environmental health and safety, licenses and taxes, and direct marketing. Rules and regulations for agritourism operations vary by county, increasing the potential for miscommunication or misunderstandings within the system. To address these concerns, agritourism stakeholders are engaging in a variety of research initiatives and programs aimed at promoting the development of sustainable agritourism.
One way of looking at the association between ethics and stakeholder theory – of examining the idea that stakeholder theory has a strong moral foundation – is to consider how the stakeholder approach might in fact be directly driven by and guided by the moral obligations of business. An alternative perspective we offer is that stakeholder theory only indirectly derives from the moral obligations of business, with business purpose serving as a mediating factor. We work through the fairly straightforward logic behind that alternative perspective in this chapter. We argue that it is a better way to think about the association between ethics and stakeholder theory, particularly because it allows for a theoretical and practical distinction between corporate social responsibility and stakeholder theory. Stakeholder theory can thereby continue developing as a theory of strategic management, even as it brings morals to the fore in ways that other approaches to strategic management do not.
Keywords: Ethics, Stakeholder Theory, Moral Foundations, Strategic Management, Business Purpose, Corporate Social Responsibility (CSR)
This paper aims to examine the relationship between organizational learning (OL) and technology through the lens of strategic factors and to ascertain future research directions.
Design/methodology/approach
The systematic literature review method was applied in three stages to the 76 articles obtained from Scopus, Web of Science, Google Scholar and EBSCO databases.
Findings
This research revealed the evolution of the role of OL in innovation, performance, knowledge management and technological adoption and showcases a detailed conceptual model relating technology outcomes (technological innovation and capabilities) to OL outcomes (technology absorptive capacity, technological proactivity, as well as information technology [IT] and organization process alignment).
Research limitations/implications
This review includes articles mainly in English and excludes conference proceedings.
Practical implications
This research attempts to guide managers and policymakers to foster an organizational culture conducive to technological adoption and OL. It helps organizations develop strategies for new product development, including strategic alliances and strategic leadership.
Originality/value
This review formalizes the linkages between technological absorptive capacity, technological proactivity and IT with technological innovation and capabilities. It identifies research gaps and elucidates future research directions.
As a result of changes in housing policy in the 1980s and 1990s, social landlords in several European countries have to manage their stock in a more commercial way. They have to anticipate market developments and formulate a strategy for the development of their stock. This kind of asset management is referred to as “strategic housing management”. Being mainly a practitioners’ business, and mostly of recent date, strategic housing management lacks a sound theoretical basis. Publications of “good” practice are scarce. This paper sets up a framework for strategic housing management of social landlords. The main question addressed is: “How can social landlords develop their asset management schemes in a strategic way?” From the theory on business planning and housing management, the paper defines strategic stock management and its characteristics. The paper uses Kotler’s general model for strategic business planning and illustrates how this model can be applied to social landlords with various examples from The Netherlands and approaches from front‐runners among Dutch social landlords.
Keywords: Housing, Asset Management, Business Planning
Project Title: In ONE sentence, state what topic you would like to do your GMP on and (if known) for whom it would be done.
Topic: “The Impact of Employee Motivation on Organizational Growth: A case of the Nigerian Civil Service.”
Findings from the academic research will benefit stakeholders in different categories vis-à-vis:
(a) The Civil Service: the career personnel of the Presidency, Ministers, and Extra – Ministerial offices (such as Departments, the National Assembly and the Judiciary).
(b) The Armed Forces, the Police, Other Security agencies e.g Para – Military organizations
(c) The Parastatals or Public Enterprises.
Brief Description of the Project: In roughly four or five sentences, expand on the nature of the project and give a brief description of the organization (if known) and/or industry context.
While sustainable growth of African economies revolves around good corporate governance, the importance of human capital development—especially motivation of employees—cannot be ignored. Thus, this academic research focuses on the performance of Nigerian Civil Service as a tool for implementing governmental development goals. Using some theoretical models and results from evidence-based studies on public service, corporate governance, motivation, employee performance and organizational growth, the study objective is to analyze the achievements, challenges and prospects of the Nigerian Civil Service sector, as well as examine the effectiveness of corporate governance structures and strategies adapted in the system.
Personal statement: In no more than two sentences state WHY you wish to do this particular project.
For over five decades, the Nigerian Civil Service has grappled with reforms, political influence, corruption and ineffective utilization of organizational management strategies. My intention is to identify the underlying systemic causes of failure in Nigeria’s civil service sector, and proffer innovative solutions that can improve corporate governance practices thereby revitalizing the dwindling Nigerian economy.
Note: This is a statement of intent only and does not constitute a commitment. It should form the basis for your final Proposal, which when approved will be considered a commitment.
Throughout the research of the study ethical issues will be considered throughout. When collecting data for the birth dates of players, the managers of the grass roots teams, chief executive of the community scheme and academy managers were told specifically what they will be partaking within and what information is needed from them. (Appendix 1.7)To keep the players details confidential all that was required were the birth dates of the child, as this will keep personal details which are not required safe and ensured the research could not be related back to any specific person. Consent forms were included to evidence their cooperation within the study. (Appendix 1.2, 1.3, 1.4) When giving information the use of a data template in which the teams filled out to make sure only the necessary information is given was used.
The collection of data for the interviews will include specifically explaining verbally and documenting what the coaches will be partaking within, and where the results of the research will be used with consent forms highlighting their cooperation within the study. (Appendix 1.9)The necessary resources needed to carry out the interviews were accessed prior to the interviews, such as Dictaphones and interview rooms. (Appendix 2.0). The information collected from the coaches was specific to the research needs and the only information needed personally from the coach was of what club they are involved with. The information gathered through the interview was only viewed by the researcher and the MIS Supervisor. Questions were designed prior to the interviews to enable ethical approval on them. (Appendix 1.5)
It was made aware to all parties involved within the research project that there was ethical approval approved by an appropriate representative of the Faculty Research Ethics Committee at Leeds Metropolitan University and that if any issues arise they will be informed to ensure confidence in the divulgence of research. This was done through the completion of necessary forms, such as risk assessment (Appendix 2.1) local level approval .
The results of the research that has been carried out in context to themselves or their team has been made available for them to view at the end of the research, to ensure the participants have evidence that the ethical considerations they agreed to have been kept and to view areas in which may help their development.
Results
Birth Month Statistics
The research project aimed at the start to view the different levels of football and how the influence of the relative age effect impacts each of the levels (Academy, Gras root and Community).
Figure one below shows the total number of Academy players within the study. The results in figure one show that throughout the age groups excluding one (U12) the majority of players are made up by the oldest players from the selection period with the younger players being underrepresented.
Table 1: Percentage of Academy players
Age Group
Sep – Nov
Dec – Feb
Mar – May
June – Aug
U9
55.6
28.9
11.1
4.4
U10
42.9
23.2
16.1
17.9
U11
47.3
32.7
16.4
3.6
U12
38.2
40.0
16.4
5.5
U13
46.6
26.0
19.2
8.2
U14
53.7
26.9
16.4
3.0
U15
50.8
23.1
13.8
12.3
The table above relates to figure one. The table highlights the difference in the number of academy players born within each month.
When viewing the grass root football players the effect that the birth bias had on this level of football was found to be significantly different to the one found within the academy results. Figure 2 shows the number of the grass root players categorised into age and birth month groups.
Table 2: Percentage of Grass root players
Age Group
Sep – Nov
Dec – Feb
Mar – May
June – Aug
U9
28.3
23.9
26.1
21.7
U10
26.1
26.1
19.6
28.3
U11
30.0
22.0
26.0
22.0
U12
33.3
27.5
19.6
19.6
U13
28.8
25.0
21.2
25.0
U14
29.6
20.4
27.8
22.2
U15
23.6
27.3
23.6
25.5
Table two below presents the percentage of players born, categorized into age groups and the month in which the players were born. The table highlights the divergence throughout the age groups in relation to the relative age effect.
The final level of football that the study researched into was the football players who participated in football within a community scheme. Figure three shows the number of players within each age group divided into the quarter months. The graph clearly presents that the relative age effect is still prevalent within this level of football, which is the lowest standard within the study.
Table three highlights the percentage of players participating within the community scheme. The table presents the findings of the players through the use of percentages in relation to the number of players each birth month consists of.
Table 3: Percentage of Community Players
Age Group
Sep – Nov
Dec – Feb
Mar – May
June – Aug
U9
34.7
23.1
19.9
22.4
U10
21.6
25.4
23.8
29.2
U11
25.0
23.4
23.4
28.1
U12
31.7
26.7
23.3
18.3
U13
28.8
19.6
28.4
23.2
U14
32.7
24.9
21.0
21.5
U15
24.8
20.4
29.9
24.8
Table 4: Difference between the Oldest and Youngest Players
Age Group
Community
Grass root
Academy
U9
12.3
6.5
51.1
U10
-7.5
-2.2
25.0
U11
-3.1
8.0
43.6
U12
13.4
13.7
32.7
U13
5.6
3.8
38.4
U14
11.2
7.4
50.7
U15
0
-1.8
38.5
Table four above presents the difference between the oldest players and youngest players (%) within the different age groups, categorized into standard of play. The table presents both positive differences and negative differences (-). Negative differences equal a bias towards the youngest players within the year groups.
Interview Analysis
Figure four above presents the results of question four within the interview in relation to the awareness of the relative age effect. The results highlight optimal level of awareness of the relative age effect.
Table 5: Impact of the Relative Age Effect
Response
Can the relative age effect Impact your Coaching?
Have you tried Anything to help Reduce the affect in your team?
Yes
2
4
No
1
0
Unsure
1
0
Table five above highlights the number of coaches that feel the relative age effect impacts their coaching process along with whether they have implemented anything into their coaching to reduce the effect.
Case managers in any care setting often act as members of “collaborative interdisciplinary care teams” usually composed of providers (i.e., physicians, nurse practitioners, and physician assistants), case managers, registered nurses, social workers, physical and occupational therapists, utilization managers, psychologists, pharmacists, and other professionals and paraprofessionals (e.g., community health workers, health educators, navigators, and client advocates). Skillful and agile case managers apply several advocacy strategies in their daily interactions with clients, payers, and collaborative team members and while navigating the complex health care system. A common goal when applying any of the strategies is facilitating the clients’ access to required services and resources. A primary advocacy strategy, commonly used by case managers in care delivery, is “doing the right thing.” It is directly linked to the best interest of the client. Doing the right thing can be described as the delivery of care and services that are proper, indicated by the client’s condition, and preferred by the client and client’s support system. It is optimal in that care is provided in the most appropriate care setting and by the provider of choice, and that it meets the wishes and preferences of the client. This protects the client’s autonomy, right to choice, self-determination, and informed decision making.
Doing the right thing also means that case managers ensure that health care professionals provide clients with the type of services they need based on their medical and socioeconomic condition and including the necessary tests, procedures, and treatments, and that they are completed expeditiously and safely. Importantly however, doing the right thing is seen by case managers as a function of quality of care, safety, continuity of care, common goals, collaboration, and teamwork among the various disciplines involved in the care of the individual client/support system.
Another strategy that is closely related to advocacy, and that is aligned with doing the right thing, is care coordination. It is defined as a comprehensive process of planning, delivering, coordinating, and monitoring of health care services, while meeting the needs of the clients and their support systems, ensuring cost-effectiveness and safe, quality care. The emphasis in this strategy is on the client, similar to “doing the right thing.” Case managers coordinate the health care services needed by their clients across the continuum of care and diverse providers. They also focus on meeting the clients’ physical, emotional, psychological, spiritual, financial, and cultural needs through the coordination of care activities and communication among the various care providers. Care coordination-related advocacy activities encompass assisting clients to return to their baseline lifestyle and health condition or getting to the highest level of function that they can get to. Such activities are client-centered, directed, and focused. Integral to care coordination is the emphasis on the clients defining their needs for advocacy based on informed and shared decision-making, and then case managers as client advocates support their clients in taking direct action toward fulfilling the goals (i.e., client empowerment and engagement).
When ethical dilemmas or disagreements concerning client care and treatment options arise, case managers may apply the “case conferencing” method as a strategy in resolving the ethical and other concerns that facilitates clients’ ability for informed and shared decision-making. Case conferencing is relevant to advocacy because it is used as a conflict-resolution process and a method to educate the client and/or client’s support system about care and to discuss decisions such as stopping treatment, withdrawal of life support, and do-not-resuscitate status. Case conferencing is also useful in situations when clients and their support systems are unclear about diagnosis, prognosis, length of treatment, or the transition/disposition plan. Decisions made during case conferences are resolutions to issues at hand and are to the clients’ satisfaction. Acknowledging and addressing the needs of the clients and their support systems reflect the case manager’s duty as an advocate. This advocacy approach allows clients/support systems to voice their opinions (i.e., having a voice and defining an existing problem from their own perspective), and emphasizes the role of case managers as advocates in assisting them in addressing their self-defined needs (i.e., client-centered and culturally competent care). It also provides clients with a concrete opportunity to identify alternate and creative solutions to the issues or concerns rather than just accepting the status quo. This also promotes advocacy as an active event rather than as a passive event, that is, clients owning the resolution of concerns in collaboration with the case managers to meet their self-defined desires.
Outcomes management is a strategy that is aligned with advocacy because of its intense client focus. Outcomes management involves tracking, monitoring, and data analysis regarding care delivery, patient care outcomes, delays in treatments, tests and procedures, risk management concerns, and reimbursement issues and denials. Outcomes management is necessary for evaluating the consequences of care delivery and allows the collaborative interdisciplinary care team to examine whether the needs of the clients are met and to what extent (i.e., quality of care, safety, and care experience). The process of determining outcomes begins with reviewing the client’s record, to collect data such as clinical care outcome indicators, delays in tests or procedures, and risk management issues. Through outcomes management, case managers ensure that the clients gain access to necessary resources and that their needs are met and in a timely fashion. Through outcomes management, case managers as advocates can focus on assessing the impact of their actions on the well-being of clients and their support systems, development of self-management skills (i.e., engagement), understanding of health conditions and plans of care, and ultimately empowerment.
Advocacy strategies case managers employ in their daily practice are not limited only to doing the right thing, care coordination, case conferencing, and outcomes monitoring. Other examples that advance their roles as client advocates are summarized later.
Communicating among team members, with the client and client’s support system, and with the members of internal (health care agency-based) and external (outside the health care agency such as transportation and durable medical equipment vendors) teams to discuss care, services, and related issues. A special focus of advocacy here is “respect for the client wishes and choices” and “empowering the client to voice own thoughts.”
Teaching to ensure that the client and other members of the health care team are kept informed and knowledgeable of health insurance or managed care regulations and statutes, the decision-making processes of the insurance companies, and the procedures of denials and appeals. Teaching also focuses on increasing the client’s knowledge of their health insurance benefits, plan of care, how to change or reduce illness-related risk factors, how to navigate the health care system, when to engage in follow-up care, and how to care for self while at home.
Resolving Disagreements that might arise between members of the different teams involved in a client’s care, between themselves and the client, or between the client and members of the client’s support system. The activity focuses primarily on client’s safety and good health and promotes client’s autonomy, self-determination, and shared decision-making.
Brokering of Services to ensure that appropriate care options and resources are arranged for and made available to the client while in the hospital setting (or during an episode of illness), upon or at the time of discharge, or after discharge and while in the community. This activity aims to ensure the client’s access to the health and human services they need or are interested in. When brokering services for their clients, case managers encourage clients to voice their desires and preferences and operate based on already-established mutually agreed-upon goals.
Obtaining Informed Consent from the client for treatments to be provided and tests and procedures to be completed. It is also necessary to confirm that the clients grant the case manager permission to appeal on their behalf the decisions made by insurance companies to deny services or reimbursement for care rendered. The case manager facilitates the clients’ informed decision and respects their right to choice.
Supporting, that is, to provide clients and their families with emotional support and counseling as needed to reduce their anxiety and apprehension during the episode of illness and the course of treatment. It may also mean working with the client and support system to realize that they have to assume responsibility for their care and related decisions. This activity allows case managers to assist clients in their efforts to navigate the complex health care system by developing needed skills in self-management, acquiring necessary knowledge, and clarifying areas of confusion.
Appealing denials according to stipulations of contractual agreements between the health care agency/provider and the insurance company (payer). This is made in an effort to ensure that the agency receives reimbursement for care provided and that the clients receive the care and services needed as necessitated by their medical and health conditions. A major purpose of advocacy in appealing denials is ensuring the client’s access to needed services.
Going above and beyond to ensure that the clients’ needs, both direct and indirect, are met. This activity focuses on looking beyond the obvious care needs. For example, if a client is hospitalized and has a pet left alone at home, in addition to ensuring that the client’s medical needs are met, the case manager devises a safe plan for the pet as well. This also includes activities the case manager may take to ensure that the client’s experience of care is optimal. By going above and beyond, case managers demonstrate advocacy for the provision of culturally competent and client-centered care. This also provides the client to articulate self-defined goals.
Establishing relationships with varied members of the health care team internal and external to the health care agency and as necessary for better delivery of care and services. This is important for effective coordination and management of care and outcomes. Establishing a trusting case manager–client relationship enhances the case manager’s ability to advocate effectively with the members of the health care team on behalf on the client.
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