Improvements in haematology for home health assistance and monitoring by a web based communication system

Galiano, Angelo; Massaro, Alessandro; Boussahel, Bachir; Barbuzzi, Donato; Tarulli, Francesco; Pellicani, Leonardo; Renna, Lino; Giacosa, Attilio; Tullio, Giacoma De; Nardelli, Giovanni Battista; Bonaduce, Roberto; Minoia, Carla; Ciavarella, Sabino; Fazio, Valentina; Negri, Antonio; Marchionna, Caterina

doi:10.1109/memea.2016.7533762

Cited by 11 publications

(12 citation statements)

References 6 publications

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“…The proposed architecture also allows for communication by video communication and chat. All the features of the proposed RPM-DSS system are listed in Table 1, in comparison with the platform functionalities developed in Reference [14], thus proving that the prototype platform is innovative. system referred to a basic telemedicine control panel without the implementation of RPM and data-mining DSS facilities.…”

Section: System Overview: Telemedicine Architecture Integrating Rpm-dssmentioning

confidence: 86%

“…In DSS healthcare, data mining could provide an added value for the enrichment of the knowledge base of the healthcare system, diagnosis support, home-based rehabilitation, optimal management of healthcare processes, optimization of the quality of services, correct allocation of material and non-material resources, turnover prediction, and definition of new performance indicators based on artificial intelligence algorithms [5][6][7][8][9][10][11][12][13]. In healthcare systems, an interesting topic is homecare assistance by telemedicine [14][15][16], allowing home assistance through the use of appropriate certified devices connected to the cloud and able to transmit patient measurements from home to an external structure behaving as a control room. In this direction, ANN could predict patient physiological status [17], could be applied for predictive medicine [18], and for the prediction of heart problems [19], suggesting ANN as a good approach to predict patient health status in DSS.…”

Section: Background: Tools and Specifications Useful For Rmp-dss Designmentioning

confidence: 99%

Section: System Overview: Telemedicine Architecture Integrating Rpm-dssmentioning

confidence: 99%

“…It represents the evolution of the system architecture studied in Reference [14]. The telemedicine platform proposed in Reference [14] was related to a control room able to read, in real-time, sensor data measuring physiological data of patients at home and transmitting to the cloud. The researchers focused their attention on hematology and oncology experimentation; the system referred to a basic telemedicine control panel without the implementation of RPM and data-mining DSS facilities.…”

Section: System Overview: Telemedicine Architecture Integrating Rpm-dssmentioning

confidence: 99%

“…Figure 2. Architecture of the telemedicine platform: patients' data flow as an evolution of the architecture proposed in Reference [14] (the red, dashed line embeds the developed prototype system).…”

Section: System Overview: Telemedicine Architecture Integrating Rpm-dssmentioning

confidence: 99%

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A Study of a Health Resources Management Platform Integrating Neural Networks and DSS Telemedicine for Homecare Assistance

Massaro¹,

Maritati²,

Savino³

et al. 2018

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Abstract:The proposed paper is related to a case of study of an e-health telemedicine system oriented on homecare assistance and suitable for de-hospitalization processes. The proposed platform is able to transfer efficiently the patient analyses from home to a control room of a clinic, thus potentially reducing costs and providing high-quality assistance services. The goal is to propose an innovative resources management platform (RMP) integrating an innovative homecare decision support system (DSS) based on a multilayer perceptron (MLP) artificial neural network (ANN). The study is oriented in predictive diagnostics by proposing an RMP integrating a KNIME (Konstanz Information Miner) MLP-ANN workflow experimented on blood pressure systolic values. The workflow elaborates real data transmitted via the cloud by medical smart sensors and provides a prediction of the patient status. The innovative RMP-DSS is then structured to enable three main control levels. The first one is a real-time alerting condition triggered when real-time values exceed a threshold. The second one concerns preventative action based on the analysis of historical patient data, and the third one involves alerting due to patient status prediction. The proposed study combines the management of processes with DSS outputs, thus optimizing the homecare assistance activities.

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Section: System Overview: Telemedicine Architecture Integrating Rpm-dssmentioning

confidence: 86%

Section: Background: Tools and Specifications Useful For Rmp-dss Designmentioning

confidence: 99%

Section: System Overview: Telemedicine Architecture Integrating Rpm-dssmentioning

confidence: 99%

Section: System Overview: Telemedicine Architecture Integrating Rpm-dssmentioning

confidence: 99%

Section: System Overview: Telemedicine Architecture Integrating Rpm-dssmentioning

confidence: 99%

See 3 more Smart Citations

A Study of a Health Resources Management Platform Integrating Neural Networks and DSS Telemedicine for Homecare Assistance

Massaro¹,

Maritati²,

Savino³

et al. 2018

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Scientific Research in Industry

Massaro¹

2021

Electronics in Advanced Research Industries

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A novel approach for generic home emergency management and remote monitoring

et al. 2017

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This paper presents a novel home emergency management system (HEMS) for managing home emergency situations. The proposed solution is a generic and based on normalized technologies. First, we have identified a set of requirements that a robust HEMS should satisfy (interoperability, security, mobility, etc). Then, we have opted for an extended finite-state machine to detect and manage emergency situations. We also adopted WebRTC to enable communication in an interoperable manner. For securing our HEMS, we have used HTTPS, password, contextual role-based access control, and we have finally installed all the public servers into a protected area. The result obtained from the test-bed demonstrates that the proposed HEMS fills all the listed requirements. Furthermore, it gives very interesting results in terms of round-trip delay time and scalability. KEYWORDScontextual role-based access control, extended finite-state machine, home emergency management system, remote patient monitoring, smart home security and privacy, web real-time communication Softw Pract Exper. 2018;48:761-774. wileyonlinelibrary.com/journal/spe

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Improvements in haematology for home health assistance and monitoring by a web based communication system

Cited by 11 publications

References 6 publications

A Study of a Health Resources Management Platform Integrating Neural Networks and DSS Telemedicine for Homecare Assistance

A Study of a Health Resources Management Platform Integrating Neural Networks and DSS Telemedicine for Homecare Assistance

Scientific Research in Industry

A novel approach for generic home emergency management and remote monitoring

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