Indexing the Event Calculus: Towards practical human-readable Personal Health Systems

Falcionelli, Nicola; Sernani, Paolo; Brugués, Albert; Mekuria, Dagmawi Neway; Calvaresi, Davide; Schumacher, Michael; Dragoni, Aldo Franco; Bromuri, Stefano

doi:10.1016/j.artmed.2018.10.003

Cited by 16 publications

(7 citation statements)

References 23 publications

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“…To prevent components from continuously scanning the blackboard, CAPABLE provides an additional component called Case Manager (CM), specifically designed to coordinate the KSs and activate the right ones only when needed. This recalls similar attempts already available in the literature [5]. The CM guides the reasoning process through an Event triggering strategy, where Events are combinations of facts that represent the main updates regarding the patient's clinical status.…”

Section: Methodsmentioning

confidence: 91%

The Case Manager: Driving Medical Reasoning in a Distributed Environment for Home Patient Monitoring

Polce

Lanzola

Gabetta

et al. 2021

Studies in Health Technology and Informatics

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The CAPABLE project has been funded by the EU Horizon 2020 Programme over the years 2020-24 to support home care. A system is being designed and implemented supporting remote monitoring and virtual coaching for cancer patients. The system is based on a distributed modular architecture involving many components encapsulating various knowledge. The Case Manager has been designed as a separate component with the aim of coordinating the problem solving strategies. A first version of the Case Manager has been released and used by the components in a prototypical scenario shown at the first project review.

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Section: Methodsmentioning

confidence: 91%

The Case Manager: Driving Medical Reasoning in a Distributed Environment for Home Patient Monitoring

Polce

Lanzola

Gabetta

et al. 2021

Studies in Health Technology and Informatics

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“…Such an event-based Blackboard Architecture is adopted in several contexts exploiting MASs and is widely referenced in the literature. [12][13][14][15] MASs rely on interoperability at technical, semantic, and process levels. Communication standards allow technical interoperability, but semantic interoperability is also needed since agents must know how to properly interpret any exchanged data in order to use them appropriately.…”

Section: Opportunities and Challenges Of Multiagent Systemsmentioning

confidence: 99%

The Case Manager: An Agent Controlling the Activation of Knowledge Sources in a FHIR-Based Distributed Reasoning Environment

et al. 2023

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Background: Within the CAPABLE project the authors developed a multi-agent system that relies on a distributed architecture. The system provides cancer patients with coaching advice and supports their clinicians with suitable decisions based on clinical guidelines. Objectives: As in many multi-agent systems we needed to coordinate the activities of all agents involved. Moreover, since the agents share a common blackboard where all patients’ data are stored, we also needed to implement a mechanism for the prompt notification of each agent upon addition of new information potentially triggering its activation. Methods: The communication needs have been investigated and modeled using the HL7-FHIR standard to ensure proper semantic interoperability among agents. Then a syntax rooted in the FHIR search framework has been defined for representing the conditions to be monitored on the system blackboard for activating each agent. Results: The Case Manager (CM) has been implemented as a dedicated component playing the role of an orchestrator directing the behavior of all agents involved. Agents dynamically inform the CM about the conditions to be monitored on the blackboard, using the syntax we developed. The CM then notifies each agent whenever any condition of interest occurs. The functionalities of the CM and other actors have been validated using simulated scenarios mimicking the ones that will be faced during pilot studies and in production. Conclusions: The CM proved to be a key facilitator for properly achieving the required behavior of our multi-agent system. The proposed architecture may also be leveraged in many clinical contexts for integrating separate legacy services, turning them into a consistent telemedicine framework and enabling application reusability.

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“…In fact, wearable devices and apps have the potential to support users in training activities for sport and fitness [16,17]. Likewise, personal health systems applications take advantage of mobile apps and wearable devices [18,19] to implement self-monitoring protocols and/or telemedicine; for example, market-available smartwatches can be used to detect health conditions such as arrhythmia [20].…”

Section: Related Workmentioning

confidence: 99%

An Internet of Things Approach to Contact Tracing—The BubbleBox System

et al. 2020

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The COVID-19 pandemic exploded at the beginning of 2020, with over four million cases in five months, overwhelming the healthcare sector. Several national governments decided to adopt containment measures, such as lockdowns, social distancing, and quarantine. Among these measures, contact tracing can contribute in bringing under control the outbreak, as quickly identifying contacts to isolate suspected cases can limit the number of infected people. In this paper we present BubbleBox, a system relying on a dedicated device to perform contact tracing. BubbleBox integrates Internet of Things and software technologies into different components to achieve its goal—providing a tool to quickly react to further outbreaks, by allowing health operators to rapidly reach and test possible infected people. This paper describes the BubbleBox architecture, presents its prototype implementation, and discusses its pros and cons, also dealing with privacy concerns.

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Indexing the Event Calculus: Towards practical human-readable Personal Health Systems

Cited by 16 publications

References 23 publications

The Case Manager: Driving Medical Reasoning in a Distributed Environment for Home Patient Monitoring

The Case Manager: Driving Medical Reasoning in a Distributed Environment for Home Patient Monitoring

The Case Manager: An Agent Controlling the Activation of Knowledge Sources in a FHIR-Based Distributed Reasoning Environment

An Internet of Things Approach to Contact Tracing—The BubbleBox System

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