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The document proposes a method called PiE (Processes in Events) to identify interconnections between business processes of different organizations in an Internet of Things environment. PiE merges unstructured IoT data with structured process monitoring data to find temporal and content-based relationships. It was tested on a simulated assisted living scenario and discovered relationships between activities of a social care organization and a health care organization with high confidence. Future work will validate PiE in real case studies and apply it to other domains involving interacting processes and IoT devices.
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IoT and physical security of medical devices
Brief presentation about the issue of protecting connected medical devices, not only from web hack attacks but from physical access.
EiTESAL IOT DAY 26-10-2016
The document discusses how the Internet of Things (IoT) is revolutionizing healthcare through connecting physical objects via sensors and communication technologies. It provides examples of IoT applications in healthcare like remote patient monitoring and smart hospitals. Specifically, it summarizes research on CellChek, a cost-effective mobile healthcare system that uses sensors on mobile phones and the least costly wireless interface like free WiFi to upload patient medical data. It also describes a proposed smart hospital system that uses near field communication technologies like RFID and QR codes to automate workflows and improve efficiency and safety.
IoT for healthcare
This document discusses how the Internet of Things (IoT) can transform healthcare. IoT connects sensors, devices, and systems to analyze real-time data and enable remote monitoring of patients and assets. It describes how IoT can improve patient experiences and outcomes by automatically conveying clinical information, monitoring locations in real-time, and executing pre-configured decisions. IoT also allows remote care through features like automatically sending abnormal patient values to doctors and enabling virtual visits. When implemented in healthcare, IoT can reduce costs and medical errors while improving revenues, coverage, and the patient and caregiver experience.
Iot and RTLS at hospital supply chain 2017
Hospital Supply Chain Excellence
19-20 July 2017
Pullman Bangkok Grande Sukhumvit, Thailand
Case Study IoT:
The new era of an enhanced digital supply chain for healthcare systems
• Why do hospitals need to integrate with IoT?
• RTLS: A real-time locating system. What’s the hidden benefits beyond tracking?
• RTLS+: Enhancing the vision of 2nd generation in RTLS – Process improvement by eliminate non-productive transaction • 5 case studies of IoT application in healthcare facilities
Thamanoon Vechvittyakahlung Medical Director Nippon Sysit - RTLS Technology for Healthcare Thailand
IReHMo: An efficient IoT-Based Remote health Monitoring System for Smart Regions
1. The document proposes an IoT-based remote health monitoring system called IReHMo to efficiently transmit healthcare data from rural areas with limited network infrastructure.
2. IReHMo uses preprocessing, filtering, and encryption to reduce the volume of data sent and bandwidth required compared to an existing commercial system.
3. Evaluation shows IReHMo implemented with CoAP reduces data volume by up to 90% and bandwidth needs by 56% compared to the existing system.
Connected Medical Devices in the Internet of Things
The next wave of the Internet will connect machines and devices together into functioning, intelligent systems. This "Internet of Things" (IoT) will change every industry, every job, and every home. How will it impact medicine? When?
This webinar will reveal how the Internet of Things is changing medicine today by examining real applications of advanced networking technology. The applications include from 911 dispatch, EMS transport, imaging, surgery, ICU interoperability, patient safety, hospital integration, and treatment. We will discuss critical needs: finding the right data, delivering high-fidelity waveforms, integrating large hospital systems, ensuring EMR accuracy, and guarding sensitive information.
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Health in the Information Age - Portugal by Rita Espanha and Gustavo Cardoso
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IReHMo: An efficient IoT-Based Remote health Monitoring System for Smart Regions
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Isc2 vitali
- 1. Interconnecting Processes through IoT in a Health-Care Scenario Monica Vitali, Barbara Pernici Dip. Elettronica Informazione e Bioingegneria (DEIB) Politecnico di Milano, Italy
- 2. CONTEXT Internet of Things has a great potential for improving many aspects of life. The value of data coming from IoT is null if they are not analyzed properly
- 3. MOTIVATION Cooperating organizations act separately, but data used by the processes are not independent. ISSUE Hidden relations between business processes of different organizations affect the global result. GOAL To Identify and discover interconnections between business processes in an IoT environment enriched with events. PiE – Processes in Events
- 4. PiE - Scenario Organization 1 Event Pool Organization 2
- 5. PiE - Scenario Organization 1 Event Pool Organization 2
- 6. PiE - Scenario Organization 1 Event Pool Organization 2 How processes of different organizations interact? How the environment affects the processes?
- 7. Connecting events APPROACH: merge the unstructured information coming from IoT with the structured information coming from the monitoring of business processes. Hybrid correlations – to find relations between processes through device events. Several possible relations Temporal-based relations Content-based relations
- 10. Connecting events: STEP 2
- 11. Connecting events We considered temporal/causal relations. Two event types are related if A always follows B Confidence how many time A is observed if B is observed weighted by the time distance between A and B continuously updated accounting for history We used synthetic logs generated integrating real observations with realistic ones.
- 12. PiE Application to AAL Social Care Health Care Operator Recipient Event Pool WATCH TOTEM WEB INTERFACE
- 13. PiE Application to AAL
- 14. PiE Application to AAL
- 15. PiE Application to AAL eD2 <T1> : operator in eD2 <T2> : operator out eD1 <W1> : watch std eD3 <I2> : urgent drug ordereD1 <W2> : watch unfasten eD3 <I1> : regular drug order
- 16. PiE Application to AAL eP1 <A1> eP1 <A2> eP1 <A3> eP1 <A4> eP1 <A5> eP1 <A6> eP2 <A1> eP2 <A2> eP2 <A3> eD2 <T1> eD1 <W2> eD2 <T2> eD1 <W1> eD3 <I1> eD3 <I2> A1 A2 A3 A4 A6 A5 B1 B2 B3
- 17. PiE Application to AAL eP1 <A1> eP1 <A2> eP1 <A3> eP1 <A4> eP1 <A5> eP1 <A6> eP2 <A1> eP2 <A2> eP2 <A3> eD2 <T1> eD1 <W2> eD2 <T2> eD1 <W1> eD3 <I1> eD3 <I2> A1 A2 A3 A4 A6 A5 B1 B2 B3 0.3 0.990.450.94 0.81 0.99 0.96 0.99 0.99 0.99 0.29
- 18. PiE Application to AAL eP1 <A1> eP1 <A2> eP1 <A3> eP1 <A4> eP1 <A5> eP1 <A6> eP2 <A1> eP2 <A2> eP2 <A3> eD2 <T1> eD1 <W2> eD2 <T2> eD1 <W1> eD3 <I1> eD3 <I2> A1 A2 A3 A4 A6 A5 B1 B2 B3 0.3 0.990.450.94 0.81 0.99 0.96 0.99 0.99 0.99 0.29
- 19. PiE Application to AAL eP1 <A1> eP1 <A2> eP1 <A3> eP1 <A4> eP1 <A5> eP1 <A6> eP2 <A1> eP2 <A2> eP2 <A3> eD2 <T1> eD1 <W2> eD2 <T2> eD1 <W1> eD3 <I1> eD3 <I2> A1 A2 A3 A4 A6 A5 B1 B2 B3 0.3 0.990.450.94 0.81 0.99 0.96 0.99 0.99 0.99 0.29
- 20. PiE Application to AAL eP1 <A1> eP1 <A2> eP1 <A3> eP1 <A4> eP1 <A5> eP1 <A6> eP2 <A1> eP2 <A2> eP2 <A3> eD2 <T1> eD1 <W2> eD2 <T2> eD1 <W1> eD3 <I1> eD3 <I2> A1 A2 A3 A4 A6 A5 B1 B2 B3 0.3 0.990.450.94 0.81 0.99 0.96 0.99 0.99 0.99 0.29
- 21. Future Steps Discovered relations can be exploited for mining information about processes execution. We plan to: validate the PiE methodology in a complex real case study apply PiE to other fields involving interacting processes and IoT devices enrich the relation discovering using content based analysis
- 22. Interconnecting Processes through IoT in a Health-Care Scenario Monica Vitali, Barbara Pernici Dip. Elettronica Informazione e Bioingegneria (DEIB) Politecnico di Milano, Italy