Adaptive Case Management Research Articles

Leverage big data analytics for dynamic informed decisions with advanced case management

Big data is transforming the world, and it’s especially changing the way in which modern enterprises conduct business and strategic, informed decisions. By incorporate big data analysis, organisations can make decisions based on facts rather than intuition or hidden internal knowledge. When decision makers and knowledge workers have access to increasingly accurate and up-to-date trusted source of information, along with the analytical tools to make sense of it, their organisations benefit from more informed decisions and more consistent outcomes than ever before. This approach for supporting decisions can affect overall company’s business and the way knowledge workers do their jobs. Analytic tools took insights from big sets of data. They help broaden the context and background available for making informed, accurate, and consistent decisions. This research renders how Big Data analysis can extend the DSS part of the Adaptive Case Management (ACM) systems. Authors of the article discusses the thesis that by merging analytical tools, flexible process management and access to all required information into a single application - organisations can use big data to help improve the way they do business.

Architectural Decision Management for Digital Transformation of Products and Services

The digitization of our society changes the way we live, work, learn, communicate, and collaborate. The Internet of Things, Enterprise Social Networks, Adaptive Case Management, Mobility systems, A ...

Do Process-based Systems Support Emergent, Collaborative and Flexible Processes? Comparative Analysis of Current Systems

Advanced process-based applications such as crisis and risk management require Emergent, Collaborative and Flexible (ECF) processes. These three features correspond to specific real-world requirements. Firstly, to face unpredictable situations, emergent processes are needed, i.e. processes whose model/schema is (partially) unknown at design-time and gradually defined/refined at run-time. Secondly, the complexity of the application domain being addressed requires collaborative processes, i.e. processes whose definition and enactment require interactions between groups of actors using their skills and experiences to make the process convergence towards their common goal. Thirdly, to adapt to the frequent changes that occur in their operating environment, flexible processes are needed, i.e. processes whose model/schema can be modified in real time. The objective of this paper is to present a literature review to study the state of the art of process-based systems with a focus on the three above mentioned properties. Our approach is to specify real world requirements, then to discuss the adequacy of current systems to these requirements and finally to provide advices for their improvement. Examined systems fall within the following areas: Business Process Management (BPM), Adaptive Case Management (ACM), Computer Supported Collaborative Work (CSCW) and Knowledge Management (KM). The paper concludes on the insufficiency of existing systems and the need for designing and implementing a specific process-based system that integrates these three properties in a coherent framework.

An adaptive case management system to support integrated care services: Lessons learned from the NEXES project

BackgroundExtensive deployment and sustainability of integrated care services (ICS) constitute an unmet need to reduce the burden of chronic conditions. The European Union project NEXES (2008–2013) assessed the deployment of four ICS encompassing the spectrum of severity of chronic patients. ObjectiveThe current study aims to (i) describe the open source Adaptive Case Management (ACM) system (Linkcare®) developed to support the deployment of ICS at the level of healthcare district; (ii) to evaluate its performance; and, (iii) to identify key challenges for regional deployment of ICS. MethodsWe first defined a conceptual model for ICS management and execution composed of five main stages. We then specified an associated logical model considering the dynamic runtime of ACM. Finally, we implemented the four ICS as a physical model with an ICS editor to allow professionals (case managers) to play active roles in adapting the system to their needs. Instances of ICS were then run in Linkcare®. Four ICS provided a framework for evaluating the system: Wellness and Rehabilitation (W&R) (number of patients enrolled in the study (n)=173); Enhanced Care (EC) in frail chronic patients to prevent hospital admissions, (n=848); Home Hospitalization and Early Discharge (HH/ED) (n=2314); and, Support to remote diagnosis (Support) (n=7793). The method for assessment of telemedicine applications (MAST) was used for iterative evaluation. ResultsLinkcare® supports ACM with shared-care plans across healthcare tiers and offers integration with provider-specific electronic health records. Linkcare® successfully contributed to the deployment of the four ICS: W&R facilitated long-term sustainability of training effects (p<0.01) and active life style (p<0.03); EC showed significant positive outcomes (p<0.05); HH/ED reduced on average 5 in-hospital days per patient with a 30-d re-admission rate of 10%; and, Support, enhanced community-based quality forced spirometry testing (p<0.01). Key challenges for regional deployment of personalized care were identified. ConclusionsLinkcare® provided the required functionalities to support integrated care adopting an ACM model, and it showed adaptive potential for its implementation in different health scenarios. The research generated strategies that contributed to face the challenges of the transition toward personalized medicine for chronic patients.

Social Networking Influence on Case Management in Enterprise Business

The paper sets out from a central proposition that the concept of social adaptive case management (SACM) bears on the evolution of modern businesses in enterprise. Social ACM makes the business case and the active components (information, processes, knowledge, etc.) become active social network elements and connecting knowledge workers. It allows the social network, flexible dialogue and cooperation in the adaptation of knowledge workers and processing complex business cases. It also offers a mechanism to capture and formalize opinion (feedback), the interaction in the social network. This type of information can be converted directly into resource assets (artifact) or affect the optimization of processes definition. SACM uses techniques and tools for development and improvement of business processes and case management solutions. This paper shows the ways that current social technologies and existing social networks can be exploited by business applications. ACM social environment can be described as networking, which results in the processing a business cases. It can extend ACM access and decision-making to select external partners without compromising the exclusivity of the core group. The paper discusses how both social networks and social tools such as tagging, communities, ratings, and more can be applied to a business application to improve outcomes and engagement.

On the evolution of process-oriented approaches for healthcare workflows

In the healthcare domain, a wide range of processes with different characteristics and requirements are executed, ranging from highly standardised procedures to less structured ones that reflect the knowledge-intensive nature of clinical decision making. Healthcare is thus widely recognised as one of the most promising, yet challenging, domains for the adoption of process-oriented models and solutions able to support organisational and clinical processes. In this paper, we provide an up-to-date overview that presents and discusses the application of process-oriented solutions in the healthcare domain. Our analysis covers both administrative/organisational processes and medical processes, and we consider contributions and research efforts produced by the business process management (BPM) community and the medical informatics community. We delineate the overall evolution that has been observed from imperative and activity-centric approaches to the emergence of declarative data-centric methodologies, including the recent trends towards adaptive case management in healthcare.