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To develop a framework for conceptualizing and managing integration in STEM learning, that can help address key issues in its research and implementation worldwide.

Integration in learning is a complicated but not a well-defined concept and therefore it is difficult to illustrate in theory and practice how to conceptualize, manage and implement integrated STEM learning with aims to enhance students' learning effectiveness and multiple-thinking ability. Based on a typology in integrated learning, this article re-conceptualizes integrated STEM learning into a comprehensive framework of three categories, six subcategories and four basic models. With this framework, how to manage integrated STEM learning and related issues in schools for effectiveness are discussed.

As a typology, integration in STEM learning can be classified as content integration, pedagogical integration and learner integration. They can be further differentiated as six subcategories: subject integration, domain integration, method integration, cognitive integration, SEN integration and diverse ability integration in STEM learning. Depending on the extents of content integration and pedagogical integration, four basic models of integrated learning can be identified in theory and practice. The categories, subcategories and basic models have their own characteristics, strengths and limitations. Strategies are developed to address the characteristics and related key issues of each category of STEM learning.

The framework may help to analyze the key issues of integrated STEM learning in research and development, such as “Why and what integration in STEM learning is important and necessary in curriculum reforms for the future?”, “How the integrated STEM approach is different from the traditional subject approach?”, “How the STEM learning activities can be integrated and managed effectively for enhancing students' learning effectiveness and multiple thinking capacity?”, and “What key implications can be drawn for managing and implementing STEM learning?”

Based on the proposed typology and models of STEM learning, various strategies of managing STEM are discussed and developed, which will contribute to policy formulation and professional practice of integrated STEM learning locally and internationally.

The proposed typology and models of STEM learning and related new ideas and perspectives will contribute to future research and development in this area locally and internationally.

The traditional practice for maintenance, quality control and production scheduling is to plan independently irrespective of an interrelationship exist between them. The purpose of this paper is to develop an approach for integrating maintenance, quality control and production scheduling. The objective is to investigate the benefits of the integrated effect in terms of the expected total cost of system operation of the three functions.

The proposed approach is based on the conditional reliability of the components. Cost model for integrating selective maintenance, quality control using sampling-based procedure and production scheduling is developed using the conditional reliability. An integrated approach is such that, first an optimal schedule for the batches to be processed is obtained independently while the maintenance and quality control decisions are optimized considering the optimal schedule on the machine. The expected total cost of conventional approach, i.e. “No integration” is calculated to compare the effectiveness of integrated approach.

The integrated approach have shown a higher cost saving as compared to the independent planning approach. The approach is practical to implement as the results are obtained in a reasonable computational time.

The approach presented in this paper is generic and can be applied at planned as well as unplanned opportunities. The proposed integrated approach is dynamic in nature, as during maintenance opportunities, it is possible to optimize the decision on maintenance, quality control and production scheduling considering the current age of components and production requirement.

The originality of the paper is in the approach for integration of the three elements of shop floor operations that are usually treated separately and rarely touched upon by researchers in the literature.

Sharing and exchanging information between project participants are basic requirements for developing construction plans. An isolated construction planning knowledge‐based system is no more useful and beneficial than any another ‘island of automation’ unless the integration with other construction applications are addressed. This paper proposes conceptual data and process models for a construction planning system, CONPLAN (Intelligent CONstruction PLANning), which works within a fully Integrated Construction Environment (ICE). An object oriented methodology (James Martin) has been used to establish generic construction models within which other construction applications can be integrated. This paper also introduces briefly the modularized approach that has been adopted to integrate the various construction applications over the project life cycle.

Although a large amount of literature about the levels, aims, and relevance of integrated care is present, to realise change in practice knowledge about the implementation and development process of integrated care is also crucial. Instruments such as quality management models can facilitate improvement, but are not frequently used in integrated care practice. The purpose of this paper, therefore, is to present further insight into these models and into the related literature about network and organisational development.

An overview of the recent literature is presented.

The improvement of integrated care is complex and there is no consensus about a set of relevant elements for integrated care. Available quality management models vary in their underlying evidence and do not have integrated care as their central focus or are aimed at specific patient groups such as the chronically ill. The lack of a consistent set of elements and the need for a generic, evidence‐based quality management model for integrated care is important for integrated care improvement. It can be assumed that, as described in the literature about networks and organisations, dynamic stages or phases could be relevant for integrated care. These issues raise important next questions for further research and for facilitating organisational change.

The paper presents a current overview of the available literature about the concept of integrated care, with a special focus on integrated care improvement and its dynamics. It raises the relevant questions and challenges for the further expansion of knowledge about these topics, which will be addressed in a second article in a later issue of Journal of Integrated Care.

This study identifies and synthesizes existing literature on the integration of diabetic and dental services and explores a service integration model for optimising diabetic patient health outcomes and improving healthcare systems in low and middle-income countries.

Peer-reviewed literature that analysed the integration of health services regarding dental and medical services were reviewed. The articles were identified using the Academic Search Complete, Business Source Complete, CINAHL Complete, Google Scholar and MEDLINE databases and screened using the PRISMA guidelines.

A total of 40 full-text articles were examined for eligibility out of which 26 were selected for analysis. Diabetes was shown to contribute significantly to the global disease burden and this is also reflected in most low and middle-income countries. It is found that the integration of medical and dental services could help alleviate this burden. Hence, locally adapted Rainbow-Modified Integrated Care model is proposed to fill this integration gap.

The integration of dental and medical services has been proven to be useful in improving diabetic patient outcomes. Hence, the need to facilitate cross-professional collaboration between dentists and physicians cannot be overemphasised and this can be extended and locally adapted by different health systems across the world.

The integration of dental and diabetic services using models such as the Rainbow Model of Integrated Care is recommended to optimise health outcomes of diabetic patients and enhancing service delivery, especially in resource-poor healthcare systems.

The purpose of this paper is to develop an optimal model of an integrated quality and safety management system (QSMS).

Keywords related with these systems were identified from international standards and subsequently mined from a selection of peer reviewed articles that discuss and propose varying forms of integrated models for both systems. Cluster analysis was used to establish the degree to which integrated models, as described in the articles were quality dominant vs safety dominant. Word counts were utilized for establishing content and attributes for each category. An optimal integrated model was developed from the final cluster analysis and substantiated by a one-way analysis of variance. Experts from industry were consulted to validate and fine-tune the model.

It was determined that characteristics of an optimal integrated model include the keywords “risk,” “safety,” “incident,” “injury,” “hazards,” as well as “preventive action,” “corrective action,” “rework,” “repair,” and “scrap.” It also combines elements of quality function deployment as well as hazard and operability analysis meshed into a plan-do-check-act type work-flow.

Given the vast array of clustering algorithms available, the clusters that resulted were dependent upon the algorithm deployed and may differ from clusters resulting for divergent algorithms.

The optimized model is a hybrid that consists of a quality management system as the superordinate strategic element with safety management system deployed as the supporting tactical element. The model was implemented as a case study, and resulted in 13 percent labor-hour saving.

From knowledge management point of view, business process models and ontologies are two essential knowledge artifacts for organizations that consume similar information sources. In this study, the PROMPTUM method for integrated process modeling and ontology development that adheres to well-established practices is presented. The method is intended to guide practitioners who develop both ontologies and business process models in the same or similar domains.

The method is supported by a recently developed toolset, which supports the modeling of relations between the ontologies and the labels within the process model collections. This study introduces the method and its companion toolset. An explanatory study, that includes two case studies, is designed and conducted to reveal and validate the benefits of using the method. Then, a follow-up semi-structured interview identifies the perceived benefits of the method.

Application of the method revealed several benefits including the improvements observed in the consistency and completeness of the process models and ontologies. The method is bringing the best practices in two domains together and guiding the use of labels within process model collections in ontology development and ontology resources in business process modeling.

The proposed method with its tool support is a pioneer in enabling to manage the labels and terms within the labels in process model collections consistently with ontology resources. Establishing these relations enables the definition and management of process model elements as resources in domain ontologies. Once the PROMPTUM method is utilized, a related resource is managed as a single resource representing the same real-world object in both artifacts. An explanatory study has shown that improvement in consistency and completeness of process models and ontologies is possible with integrated process modeling and ontology development.

Transportation infrastructure projects are inevitably delayed due to delays in the completion of underground utility relocation. Unfamiliar location, difficulty in utility identification and use of ineffective coordination practices hamper timely completion of utility relocation works. This paper aims to develop integrated road information modeling (RIM) and geographic information system (GIS) models to assist early identification of utilities and effective coordination during utility relocation in infrastructure projects.

An ethnographic action-based case study research methodology was adopted in this paper. Two ongoing infrastructure projects with significant utility relocation delays are chosen as case studies and integrated RIM-GIS models are developed to assist utility relocation. To verify the applications of developed RIM-GIS models, a focus group discussion was conducted with 10 field experts from the considered case studies.

The application of the developed RIM-GIS models enabled 3D visualization of existing underground utilities and enabled identification of utility conflicts before the start of the construction. They also enabled facilitating coordination and reduce utility relocation delays. The evaluation of the developed models shows that the RIM-GIS model approach enabled early planning and coordination and facilitates effective management of utility relocations.

The current practices of using CAD and GIS for utility relocations are inadequate due to the difficulties in characterizing utilities and ineffective coordination practices. The proposed RIM-GIS approach can be adopted as a suitable alternative for effective management of utility relocations.

Several studies have contributed toward integrating BIM and GIS for the analysis of highway and utility infrastructure projects. Efforts on integrating RIM and GIS for the support and management of utility relocations in highway and utility infrastructure projects remain unexplored.

Design, implementation, and evaluation are all important for integrated care. However, they miss one critical factor: education. The authors define “integrated care education” as meaningful learning that purposefully supports collaboration and the development of adaptive expertise in integrated care. The ECHO (Extensions for Community Health Outcomes) model is a novel digital health solution that uses technology-enabled learning (TEL) to facilitate, support, and model integrated care education. Using ECHO Concussion as a case study, the authors describe the effects of technology-enabled integrated care education on the micro-, meso-, and macro-dimensions of integrated care.

This case study was constructed using data extracted from ECHO Concussion from video-archived sessions, participant observation, and internal program evaluation memos. The research team met regularly to discuss the development of relevant themes to the dimensions of integrated care.

On the micro-level, clinical integration occurs through case-based learning and the development of adaptive expertise. On the meso-level, professional integration is achieved through the development of the “specialist generalist,” professional networks and empathy. Finally, on the macro-level, ECHO Concussion and the ECHO model achieve vertical and horizontal system integration in the delivery of integrated care. Vertical integration is achieved through ECHO by educating and connecting providers across sectors from primary to quaternary levels of care. Horizontal integration is achieved through the establishment of lateral peer-based networks across sectors as a result of participation in ECHO sessions with a focus on population-level health.

This case study examines the role of education in the delivery of integrated care through one program, ECHO Concussion. Using the three dimensions of integrated care on the micro-, meso-, and macro-levels, this case study is the first explicit operationalization of ECHO as a means of delivering integrated care education and supporting integrated care delivery.

Remote patient monitoring (RPM) and virtual visits have the potential to transform care delivery and outcomes but require intentional planning around how these technologies contribute to integrated care. Since maturity models are useful frameworks for understanding current performance and motivating progress, the authors developed a model describing the features of RPM that can advance integrated care.

This work was led by St. Joseph's Health System Centre for Integrated Care in collaboration with clinical and programme leads and frontline staff offering RPM services as part of Connected Health Hamilton in Ontario, Canada. Development of the maturity model was informed by a review of existing telehealth maturity models, online stakeholder meetings, and online interviews with clinical leads, programme leads, and staff.

The maturity model comprises 4 maturity levels and 17 sub-domains organised into 5 domains: Technology, Team Organisation, Programme Support, Integrated Information Systems, and Performance and Quality. An implementation pillars checklist identifies additional considerations for sustaining programmes at any maturity level. Finally, the authors apply one of Connected Health Hamilton's RPM programmes to the Team Organisation domain as an example of the maturity model in action.

This work extends previous telehealth maturity models by focussing on the arrangement of resources, teams, and processes needed to support the delivery of integrated care. Although the model is inspired by local programmes, the model is highly transferable to other RPM programmes.