Collaborative Model Research Articles

EdgeGuard: Decentralized Medical Resource Orchestration via Blockchain-Secured Federated Learning in IoMT Networks

The development of medical data and resources has become essential for enhancing patient outcomes and operational efficiency in an age when digital innovation in healthcare is becoming more important. The rapid growth of the Internet of Medical Things (IoMT) is changing healthcare data management, but it also brings serious issues like data privacy, malicious attacks, and service quality. In this study, we present EdgeGuard, a novel decentralized architecture that combines blockchain technology, federated learning, and edge computing to address those challenges and coordinate medical resources across IoMT networks. EdgeGuard uses a privacy-preserving federated learning approach to keep sensitive medical data local and to promote collaborative model training, solving essential issues. To prevent data modification and unauthorized access, it uses a blockchain-based access control and integrity verification system. EdgeGuard uses edge computing to improve system scalability and efficiency by offloading computational tasks from IoMT devices with limited resources. We have made several technological advances, including a lightweight blockchain consensus mechanism designed for IoMT networks, an adaptive edge resource allocation method based on reinforcement learning, and a federated learning algorithm optimized for medical data with differential privacy. We also create an access control system based on smart contracts and a secure multi-party computing protocol for model updates. EdgeGuard outperforms existing solutions in terms of computational performance, data value, and privacy protection across a wide range of real-world medical datasets. This work enhances safe, effective, and privacy-preserving medical data management in IoMT ecosystems while maintaining outstanding standards for data security and resource efficiency, enabling large-scale collaborative learning in healthcare.

Redesigning the Bunaken National Park Collaborative Management Model to Actualize Sustainable Tourism Development

Bunaken National Park (BNP) was awarded the Global Winner and National Parks Category Winner in 2003 from the British Airways Tourism for Tomorrow Award for its success in implementing collaborative management (co-man). However, various recent studies actually show its ineffectiveness in managing BNP. The reasons are lack of quality conservation, the unfinished transformation of the profession of fishermen and farmers into the tourism industry, and the alienation of socio-cultural factors from the BNP management system. Using qualitative-descriptive research methods, this article aims to evaluate the implementation of the co-man model in BNP by analysing the role of actors (stakeholders) in order to actualize Sustainable Tourism Development (STD). The result is that actors have no significant role in implementing the co-man model due to the government’s dominance. This research also found goal disorientation in BNP management due to the ineffectiveness of the model. Its research questions are: how is the BNP co-man model effective in actualizing STD? What are the ideal roles of the actors and what basic prerequisites are needed for the collaboration model to operate effectively? This study urges the need for a multistakeholder approach by providing equal space for actors and placing STD as a "core business".

GYNs at the REI gates: unsolvable conundrum or unambiguous opportunity?

Contemporary fertility care has matured from a restricted, special interest in women's health care where success sometimes made magazine covers to a well-honed start-to-finish process with ever-improving success rates and an ever-expanding panoply of treatment options. Innovations in both lab and clinic have been exponential and game changing. The specialty now finds itself in the enviable position of an extensive menu of highly successful treatment options but a complicated set of circumstances of access to these options. Emerging technology such as artificial intelligence could facilitate this transition and improve access. But a key corollary to access and leveraging new technology relates to having a credentialed team to deliver care on scale and maintain best practices and outcomes. The current debate focuses on this Rubik's cube of personnel needs in reproductive endocrinology (REI) and weighs how best to expand access and maintain the culture and spirit of REI. A model to include providers other than REI viz, GYNs or APPs is now front and center. The objective of this Opinion is to define the current context for fertility care and within that context evaluate options and consider what a collaborative model that incorporates a spectrum of non-REI providers including GYNs might look like. Such a model may be feasible (or not) to expand access to care on scale while maintaining high standards and best outcomes.

Examining South Tyrol's Experience: Digital Health Adoption and Workforce Issues in Implementing Italy's Primary Care Reform Under Ministerial Decree No. 77/2022.

Background: Ministerial Decree (D.M.) 77/2022 aims to reform Italy's primary care system by establishing community health centres and integrating digital tools to address healthcare access disparities and workforce shortages. This review focuses on frailty assessment tools, digital health innovations, and workforce challenges in the Autonomous Province of Bolzano, South Tyrol, emphasising interprofessional trust and collaboration issues. Methods: Using a narrative custom review approach guided by the SANRA checklist, this study synthesised findings from PubMed, official health websites, and regional surveys on frailty, workforce dynamics, interprofessional collaboration, and digital infrastructure in South Tyrol. Results: General practitioners (GPs) exhibited high professional motivation but expressed concerns about autonomy and administrative burdens in collaborative care models. Trust issues between GPs and specialists hinder workforce cohesion and care coordination, highlighting the need for structured inter-professional communication. Frailty assessments, such as the PRISMA-7 tool, identify over 33% of community-dwelling individuals aged 75 years and older as frail, necessitating targeted interventions. Digital health adoption, particularly electronic health records and telemedicine, is slow because of workforce shortages and infrastructure limitations. Conclusions: The successful implementation of D.M. 77/2022 in South Tyrol requires addressing workforce challenges, improving interprofessional trust, expanding digital infrastructure, and integrating frailty assessment findings into care strategies. These measures are critical for achieving a more resilient, equitable, and effective primary healthcare system.

Optimizing Multi-Depot Mixed Fleet Vehicle–Drone Routing Under a Carbon Trading Mechanism

The global pursuit of carbon neutrality requires the reduction of carbon emissions in logistics and distribution. The integration of electric vehicles (EVs) and drones in a collaborative delivery model revolutionizes last-mile delivery by significantly reducing operating costs and enhancing delivery efficiency while supporting environmental objectives. This paper presents a cost-minimization model that addresses transportation, energy, and carbon trade costs within a cap-and-trade framework. We develop a multi-depot mixed fleet, including electric and fuel vehicles, and a drone collaborative delivery routing optimization model. This model incorporates key factors such as nonlinear EV charging times, time-dependent travel conditions, and energy consumption. We propose an adaptive large neighborhood search algorithm integrating spatiotemporal distance (ALNS-STD) to solve this complex model. This algorithm introduces five domain-specific operators and an adaptive adjustment mechanism to improve solution quality and efficiency. Our computational experiments demonstrate the effectiveness of the ALNS-STD, showing its ability to optimize routes by accounting for both spatial and temporal factors. Furthermore, we analyze the influence of charging station distribution and carbon trading mechanisms on overall delivery costs and route planning, underscoring the global significance of our findings.

FedSparse: A Communication-Efficient Federated Learning Framework Based on Sparse Updates

Federated learning (FL) strikes a balance between privacy preservation and collaborative model training. However, the periodic transmission of model updates or parameters from each client to the federated server incurs substantial communication overhead, especially for participants with limited network bandwidth. This overhead significantly hampers the practical applicability of FL in real-world scenarios. To address this challenge, we propose FedSparse, an innovative sparse communication framework designed to enhance communication efficiency. The core idea behind FedSparse is to introduce a communication overhead regularization term into the client’s objective function, thereby reducing the number of parameters that need to be transmitted. FedSparse incorporates a Resource Optimization Proximal (ROP) term and an Importance-based Regularization Weighting (IRW) mechanism into the client update objective function. The local update process optimizes both the empirical risk and communication overhead by applying a sparse regularization weighted by update importance. By making minimal modifications to traditional FL approaches, FedSparse effectively reduces the number of parameters transmitted, thereby decreasing the communication overhead. We evaluate the effectiveness of FedSparse through experiments on various datasets under non-independent and identically distributed (non-IID) conditions, demonstrating its flexibility in resource-constrained environments. On the MNIST, Fashion-MNIST, and CIFAR datasets, FedSparse reduces the communication overhead by 24%, 17%, and 5%, respectively, compared to the baseline algorithm, while maintaining similar model performance. Additionally, on simulated non-IID datasets, FedSparse achieves a 6% to 8% reduction in communication resource consumption. By adjusting the sparsity intensity hyperparameter, we demonstrate that FedSparse can be tailored to different FL applications with varying communication resource constraints. Finally, ablation studies highlight the individual contributions of the ROP and IRW modules to the overall improvement in communication efficiency.

Reform and Considerations of the High-Quality Talent Cultivation Model for New Engineering Disciplines in Local Universities in China Empowered by New Productivity Forces

New productivity is based on digitization, intelligence, and greening, driven by disruptive technological innovation and centered on emerging and future industries, aiming to serve high-quality living through efficient and high-quality development. This new type of productivity continuously raises the standards and challenges for engineering science and technology, also posing higher demands on the education of new engineering disciplines. With the continuous emergence of new technologies, new economies, and new business models, the connotation and extension of the new engineering discipline have undergone profound changes, leading to a disruptive transformation in traditional engineering jobs and industrial chains. There is an urgent need to innovate and optimize the talent cultivation model for new engineering disciplines, aligning closely with the evolutionary laws of productivity and production relations in the new era. The development of new productivity poses new requirements for talent cultivation in new engineering disciplines, emphasizing innovation, a more integrated training model, a diversified subject base, and a dynamic development of goals and content. However, current talent cultivation models for new engineering disciplines still face challenges in several areas: unclear goal setting, weak interdisciplinary integration, slow transformation towards digitization and intelligence in education, and a lack of a scientific and comprehensive quality evaluation system. To address these challenges in the context of new productivity, it is necessary to promote reforms in the talent cultivation model for new engineering disciplines through the following approaches: integrating digitization, intelligence, and green development into the entire talent cultivation process; reshaping training concepts; breaking down disciplinary barriers to promote integration; continuously optimizing the training model; introducing virtual simulation and other auxiliary teaching technologies to create a collaborative model of student-teacher assistance in talent cultivation; deepening industry-education integration, and innovating cultivation mechanisms to contribute positively to the training of high-quality new engineering talents.

Critical Connectors: Libraries Developing Community-Engaged Research Partnerships

Academic libraries can serve as critical campus and community connectors, developing sustainable collaborative models and lasting partnerships by responding to community information needs with library and university resources. Librarians can help break down silos and address systemic injustice in local communities through innovative outreach, community engagement, and curricular integration of critical information literacy. In this case study, a Business & Entrepreneurship Librarian and an Assistant Professor of Business Communication will detail a class project they developed in partnership with a local entrepreneur to support the success of a local Black-owned business, help address the racial wealth gap, and provide a valuable engaged learning experience for undergraduate students.

Effectiveness of a nurse practitioner-led collaborative health care model on self-care, functional status, rehospitalization and medical costs in heart failure patients: A randomized controlled trial.

Heart failure is a serious and common condition that has garnered significant attention in the global public health domain. It often results in impaired function and reduced cardiac function status, leading to difficulties in self-care and diminished quality of life. To effectively address these complex challenges, the collaborative health care model has been proposed. This approach has proven effective in reducing rehospitalization and lowering medical costs. To evaluate the effects of a nurse practitioner-led collaborative health care model on the self-care, functional status, rehospitalization and medical costs of patients with heart failure. A randomized controlled trial design. Cardiology department of a regional teaching hospital in Southern Taiwan. 100 patients diagnosed with heart failure. Patients diagnosed with heart failure were recruited through random allocation and. randomly assigned to two groups. The control group included 50 patients who received routine nursing guidance; the experimental group also included 50 patients who participated in a 12-week collaborative health care program. Key outcomes, including self-care, functional status, rehospitalization, and medical costs, which were evaluated at 12, 16, and 20weeks post-discharge. The intervention of the collaborative healthcare program significantly impacted self-care, functional status, rehospitalization, and medical costs. Significant improvements in self-care and functional status were observed at 20weeks (Self-Care: β=31.52, 95% CI: 25.96 to 37.07, p<0.001; Functional Status: χ2=22.42, p<0.001). Regarding rehospitalization, the average rehospitalization duration for the experimental group significantly increased compared to 1.45months for the control group, with the experimental group averaging 3.00months at the 20-week follow-up. Moreover, the experimental group also demonstrated a reduction in rehospitalization medical costs, particularly with significant effects observed in the early stages of intervention (β=-6147.94, 95% CI: -10,763.99 to -1531.88, p=0.009). The use of a nurse practitioner-led collaborative health care model significantly improved self-care, function status and reduced rehospitalization while effectively lowering medical costs for patients with heart failure. Through professional team communication and collaboration, this approach provides more effective and comprehensive care, enhances patient self-management capabilities, and improves overall treatment outcomes. These results hold significant implications for clinical practice and provide empirical support for future heart failure care programs, warranting their widespread implementation in clinical settings. This study was registered on ClinicalTrials.gov under the identifier NCT04860596 on April 22, 2021, and participant recruitment was initiated in April 2023. Effectiveness of a Nurse Practitioner-Led Collaborative Care Model: Reduces rehospitalization and medical costs, while improving self-care and functional status in heart failure patients. A Randomized Controlled Trial. #HeartFailure #HealthCare #SelfCare.

Mobilizing community engagement for crisis response: lessons learned from a COVID-19 mass vaccination clinic in Cobourg, Ontario, Canada

BackgroundCommunities have an important role to play in disaster and emergency planning and response. Yet community members are not typically engaged in official planning activities, including plans for mass immunization clinics during infectious disease emergencies, such as the COVID-19 pandemic. This qualitative study explores one case of a community driven effort to implement a COVID-19 mass vaccination clinic in Cobourg, Ontario, Canada. Operational between mid-March 2021 and late February 2022, the Cobourg Community Centre (CCC) clinic involved 600 community volunteers, and at its peak completed approximately 700 vaccinations a day. The development and operation of the clinic was largely grassroots, spearheaded by local non-profits and volunteers. Drawing on insights from the various actors involved, this study seeks to understand the factors that made this collaborative effort a success.MethodsSemi-structured interviews and focus groups were conducted between September 2022 and July 2023 with 34 individuals involved in coordinating and operating the CCC mass vaccination clinic including volunteer community members, members of local community organizations and businesses, public health unit and hospital staff and city employees. Data was analyzed utilizing an inductive thematic analysis.ResultsFour major themes were identified that contributed to the clinic’s success and enabled the team’s ability to navigate challenges including, a collaborative model, leveraging community knowledge and networks, flexibility and autonomy, and volunteers as an asset.ConclusionThe findings of this study indicate the importance of community engagement in strengthening emergency planning and response for future public health emergencies.

Large-scale ecological infrastructures enhance the productivity of agro-socio-ecological systems by reducing soil erosion in the Loess Plateau.

Agro-socio-ecological systems are a crucial link connecting urbanization, agricultural development and environmental evolution. However, there is no effective research on realizing regional collaborative development and environmental governance of the agricultural social-system collaborative governance model, especially spatial differentiation governance. In this study, the region with the most severe soil erosion in the world was selected as the research area. We used socio-economic statistical data and remote sensing data, combined with the Revised Universal Soil Loss Equation, to provide analytical evidence in different sub-regions. Results showed that the soil erosion rate of the Loess Plateau has dropped significantly during the past three decades, with an average decreasing rate of 0.46tha-1 yr-2 or 2.33%. Large-scale investments in ecological infrastructure (e.g., check dams) increase agro-socio-ecological productivity by reducing soil erosion. The productivity of social-ecological systems increased significantly, especially after 2000, with the grain production capacity and gross primary productivity rising by 84.28% and 18.06% from 1990 to 2017. The decrease in grain yield caused by the ecological return of upland cropland and the occupation of high-quality cropland will be raised to a better level. Large-scale investment in ecological infrastructure enabled farmers to obtain ecological compensation, and agricultural income resulting from land productivity improvement brought about by infrastructure investment. This study further confirms the dual benefits of ecological infrastructure in controlling erosion and improving land productivity, and provides sustainable support for achieving coordinated economic growth and ecological environmental protection through effective management of agricultural ecosystems.

A technology-enabled collaborative learning model (Project ECHO) to upskill primary care providers in best practice pain care.

Background The South Australian (SA) Chronic Pain Extension for Community Healthcare Outcomes (ECHO) Network was established to upskill primary care providers in best practice pain care aligned to a patient-centred, biopsychosocial approach using didactic and case-based virtual mentoring sessions. The aims of this study were to assess: (a) participation, satisfaction (relevance, satisfaction with format and content, perceptions of the mentorship environment), learning (perceived knowledge gain, change in attitudes), competence (self-confidence) and performance (intention to change practice, perceived practice change) of the ECHO Network clinician participants; and (b) self-perceived barriers at the clinical, service and system level to applying the learnings. Methods A mixed methods, participatory evaluation approach was undertaken. Data sources included analysis of program records (learning needs assessment, enrolment survey data, program participation data and online surveys of healthcare professionals including a satisfaction survey after each ECHO session (n=106 across the ECHO series of 10 sessions; average response rate=46%), a case presenters survey (n=7, response rate=78%) and an outcome survey after all 10 ECHO sessions (n=11, response rate=25%). Results Forty-four healthcare professionals participated in the ECHO Network from a range of career stages and professional disciplines (half were general practitioners). One-third of participants practised in regional SA. Participants reported that the ECHO sessions met their learning needs (average=99% across the series), were relevant to practice (average=99% across the series), enabled them to learn about the multidisciplinary and biopsychosocial approach to pain care (a verage=97% across the series) and provided positive mentorship (average=96% across the series). Key learnings for participants were the importance of validating the patient experience and incorporating psychological and social approaches into pain care. More than one-third of participants (average=42% across the series) identified barriers to applying the learnings such as limited time during a consultation and difficulty in forming a multidisciplinary team. Conclusions The ECHO Network model was found to be an acceptable and effective interdisciplinary education model for upskilling primary care providers in best practice pain care aligned to a patient-centred, biopsychosocial approach to pain managment. However, participants perceived barriers to translating this knowledge into practice at the clinical, service and system levels.

The SORT model for surgical research collaboration and productivity

The SORT model for surgical research collaboration and productivity

The current state of the Multidisciplinary Heart Team Approach: a systematic review.

The heart team (HT) approach, recommended for managing cardiovascular diseases (CVDs), emphasizes multidisciplinary collaboration. Despite its potential benefits, evidence on its effectiveness and implementation is varied and sparse. This review assesses the HT approach's impact on patient outcomes and care delivery in cardiovascular care. A systematic review was conducted across MEDLINE, EMBASE, PubMed, Cochrane, and Google Scholar up to July 2023, focusing on studies that implemented an HT approach in coronary and heart valve disease management. Exclusion criteria included non-human studies, case reports, and studies not focusing on HT outcomes. From 6270 identified articles, 20 met the inclusion criteria. These studies demonstrated significant variability in HT composition and organisation, coupled with a lack of standardized metrics for evaluating clinical outcomes and the impact of the HT. Significant variability was observed in HT composition, with 13 of the 20 studies did not utilize structured templates, those that did demonstrated more consistent decision-making. In mitral valve interventions, HTs were linked to reduced in-hospital mortality and improved long-term survival (5-year survival probability of 0.74 vs 0.70, p = 0.04). In aortic valve interventions, 80% of patients underwent tailored valve procedures following HT evaluation. The HT approach in cardiovascular care demonstrates improved patient outcomes, particularly in specialized interventions for mitral and aortic valve diseases and CAD management. Despite these positive findings, the variability in HT implementation and the need for standardized outcome metrics call for further advances to optimize this collaborative care model.

An innovative model of behavioral healthcare for older adults with serious mental illness, substance use disorders, and dementia.

Older adults with serious mental illness (SMI) experience higher rates of medical comorbidities, mortality, hospital readmissions, and total healthcare spending when compared with Medicare beneficiaries without SMI. Although telehealth provides an opportunity to overcome barriers to behavioral healthcare access, older adults face unique challenges when accessing and utilizing telehealth services. We present Author Health's care model, which integrates virtual-first behavioral health care with an interdisciplinary approach to health-related social needs (HRSN) screening and intervention in older adults. We launched an innovative behavioral healthcare delivery model in collaboration with primary care for Medicare Advantage recipients with SMI, substance use disorders (SUD), and dementia. All patients completed an intake with an MD/NP and were offered screening for HRSN at entry using the Accountable Health Communities HRSN tool. Primary diagnosis was assigned and categorized into SMI/SUD/dementia and non-SMI. Logistic regression was used to quantify the odds of food, housing, and transportation insecurity explained by SMI/SUD/dementia versus non-SMI behavioral health conditions. A total of 2301 patients completed an intake from January 2023 to March 2024. Moderate/severe depression (40%) was the most common primary target condition at intake, followed by dementia/Alzheimer's disease (12%) and bipolar disorder (5%). The rates of housing insecurity, food insecurity, and transportation insecurity were 27%, 30%, and 21%, respectively. Within our sample of Medicare Advantage participants in Florida, patients with SMI/SUD/dementia were 1.42 times (p < 0.05) and 1.58 times (p < 0.01) more likely to report housing insecurity and food insecurity, respectively, when compared with those with mild/moderate behavioral health conditions. Author Health provides a blueprint for behavioral health services that remove barriers and provide tenacious, consistent, and whole-person virtual-first behavioral health care tailored to the unique needs of older adults. Our sample of Medicare Advantage participants in Florida suggests SMI/SUD/dementia may be a predictor for HRSN independent of socioeconomic status and race/ethnicity.

LIDERANÇA EM TRANSFORMAÇÃO: DO MODELO TRADICIONAL Á GESTÃO DO FUTURO

This research explores the improvement of leadership management models, analyzing the transition from traditional leadership to future-oriented management. The study aims to understand how changes in leadership styles and organizational structures influence corporate performance and behavior, as well as to examine the transitions experienced by companies over the years. Grounded in a bibliographic review of individual characteristics, such as hierarchical rigidity and centralized control in traditional management models, the analysis contrasts these with new trends focused on versatility and technological innovation. The results demonstrate the benefits and challenges of each approach, highlighting the importance of transitioning to a more flexible and collaborative model, which is essential to meet demands and remain solid in the contemporary market. It is concluded that successful leadership management requires balancing efficiency and innovation, promoting organizational success in future markets.

Forskningsbasert og erfaringsbasert kunnskap i utvikling av lærerstudenters norskfaglige masterprosjekt

The topic for this article is experiences from the project PRANO (Practice Oriented master theses in the L1 subject). The goal for the project was to develop models for collaboration between practice schools/teachers and university/master thesis supervisors. More specifically, the article discusses how the work process tied to the master theses in the five year integrated teacher education for year 1-10 can be linked to the students’ practice periods, how research-based and practice-based knowledge play together in this process and how participants with different roles contribute to the students’ work process. Considering political steering documents and theories about third space, we analyze statements from students, master thesis supervisors and practice teachers about the collaboration and the organization that PRANO has facilitated. Also, the article discusses how different types of knowledge play together in different phases of the students’ work with their master projects. The analyses show that through the project, a space is created where all participants – students, teachers and supervisors, develop their knowledge, and that hierarchical structures between university and practice field, are demounted.

Examining the Influence of the Perceived Parental Involvement on Teachers' Sense of Self-Efficacy, Work Commitment, and Job Satisfaction

Developing strategies for more collaborative models of school-parent relationships is essential for supporting teachers and, ultimately, enhancing student learning outcomes worldwide. The relationship between parents and teachers is crucial in the educational process and can significantly influence teachers' professional identity. This study examined the impact of parental involvement on teachers' professional identity, focusing on self-efficacy, work commitment, and job satisfaction. A quantitative approach was employed using linear data collection and analysis methods. Data were collected through questionnaires from a representative sample of teachers from various schools. Descriptive statistics were used to outline the characteristics of the dataset. In addition, a correlational design measured the relationship between the variables and identified the variables of parental involvement that best predict teachers' self-efficacy, work commitment, and job satisfaction. The results revealed a small negative correlation between parental involvement and self-efficacy. In contrast, communication with parents positively influenced teachers' work commitment. These findings could inform educational policy by fostering collaboration between parents and teachers, thus enhancing the overall educational environment.

Institutional Environment and Productive Entrepreneurship

In the context of intensifying global competition, productive entrepreneurship plays an important role in industrial upgrading and sustainable economic development. This study explores how the institutional environment affects productive entrepreneurship through different allocation paths. By integrating multiple institutional logics and using PD-QCA (Panel Data fsQCA) methods, we examined data from 76 countries for the period 2012–2022. The results show that institutional complexity provides entrepreneurs with diversified opportunities and resources, but also brings decision-making challenges due to the conflict of institutional factors. We identified three main models: (1) Government-Market Collaborative Model: driven by government support and property rights protection. (2) Market-Led Model: financial support is crucial. (3) Three-Wheel Drive Model: combines property rights protection, market opening, and social norms that promote entrepreneurship. This study contributes to the literature by revealing the multidimensional effects of institutional complexity and provides practical implications for policymakers seeking to promote high-quality entrepreneurial activity. Limitations include the static nature of the data and the need to further explore dynamic institutional interactions over time.

A Comparative Analysis of Collaborative Models between Government and Business Entity in National Asset Management: Case Study of the Cisem-1 Gas Transmission Pipelines

Developing infrastructure for natural gas transportation requires substantial investment. The high standards of safety in its equipment material, workmanship, design, and construction methods are the reason for this. Consequently, investment in natural gas infrastructure entails significant risk when supply and demand situations are variable and immature. The Cirebon-Semarang Gas Transmission Pipeline project, awarded to Rekind in 2006, has had delays from the beginning. Following Rekind’s resignation, the Government continues the project to regard the Cisem Pipeline as strategic, capable of fostering economic and industrial growth in Java, especially in Central Java. The government utilized the APBN to assume control of the Cisem project, initiating the first phase, designated as Cisem-1, in 2022. Following the completion of the Cisem-1 project in 2023, Lemigas, as the designated asset manager and user, is required to seek a partnership with a business entity that possesses the requisite capabilities and adheres to regulations governing gas transportation operations. This study proposes alternative partnership models between the government, represented by Lemigas, and the business entity, PT Pertamina Gas (Pertagas). This study evaluates and analyzes the most suitable partnership model between Lemigas and Pertagas, taking into account operational costs to maintain affordable gas prices for customers, as well as processing time for partner selection and operatorship alignment with project timelines to ensure the MEMR that the asset is utilized and not abandoned. The KSP (Kerja Sama Pemanfaatan) of BMN (Barang Milik Negara) scheme has been identified as the most suitable option.