Presentation by Dr. Ralph Wiegner, Global Head of Digitalizing Healthcare, Siemens Healthineers, March 2, 2021, for mHeatlh Israel. Key themes:
- COVID-19 pandemic has created new challenges for CEOs
- Acceleration of digitalization in healthcare – are healthcare decision makers well prepared for this?
- How to digitalize healthcare?
- What are the right measures and technologies to ensure sustainable digital transformation?
- The integration of clinical and non-clinical data and patient outcome sharing is seen most critical globally
- Future vision: Digital Twin – management of complex medical scenarios by patient centered data integration and modelling
- Stroke is the second leading cause of death worldwide
- Major challenges and trends for stroke – Facts and figures
- Vision: Connected intelligence in stroke – Self-learning real-time network of intelligent machines
- Proactive risk evaluation and early detection
- Real-time stroke response and diagnosis
- Precise stroke treatment
- Seamless integrated patient-centered rehabilitation and aftercare
- Stroke supervision platform orches-trates the overall patient workflow
- Siemens Healthineers Insights Series
They have Improved electronic communications between healthcare professionals (eg e-communication tools like apps) (57.4% mentionings), use more e-prescriptions (51.3%), More use of e-observation tools of patients on wards (50.2%), Improved electronic storage of patient records (47.5%), Digital triage being used as a first approach for identifying and prioritising patients coming to emergency rooms (46%), Improved interoperability of electronic data between secondary and primary care (46%), and last but not least have a Greater use of telemedicine or e-consultations with patients (45%)
We believe healthcare will be digital. But unstructured data and a lack of analytical capability keep providers from unlocking the full potential of their organizations.
By managing data as a strategic asset, providers will gain unprecedented insight into clinical and non-clinical processes.
They will be able to leverage powerful analytical tools, including AI technologies, to improve decision making.
Virtual access, telemedicine, and secure knowledge exchange will strengthen bonds between patients and care teams.
A cultural shift to a digital mindset, coupled with new technology, will enable development of a continuously improving learning health system.
Digitalization is a key enabler for high-value care. Technologies like AI-powered decision support will pave the way for expanding precision medicine.
Increased automation and care coordination will transform care delivery. Patient portals and mobile apps will improve patient experience.
Globally challenges in integrating clinicals and non-clinical data seems
There is a more mixed picture with respect to cybersecurity: perceived as high across European countries - In the Americas cybersecurity is seen more critical
HES 2019: HOOD05162003002979; 386-19
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Access to integrated systems for individualized stroke-care delivery for
Risk assessment (ruling out stroke mimics) for automated health alerts and recommendations
Automated stroke-onset detection triggering an alert
To the patient as an immediate emergency notification
To the stroke supervision platform with status and localization
On-demand access to stroke experts or/and virtual care assistants
Streamlined decision for optimized stroke service delivery
Enabling technologies
Connected smart monitoring systems like wearables, smart-home devices with advanced sensors, such as “dense phenotyping” based on Atrial Fibrillation with Smart Watch, Diabetes, Hypertension
Dedicated AI algorithms to
Targeted stroke-relevant multi-source data extraction
Risk monitoring and automated stroke detection
Health Digital twin of a patient with hemodynamics model predicting the risk
Connectivity for data streaming and Edge computing on device level
Secure open platforms for comprehensive health data handling and analysis
Virtual AI Stroke bot
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The fast emergency response speeds up by automated stroke-relevant data analysis and an orchestrated decentralized network for stroke coverage
Integrated first response and triage of treatment options- check eligibility for thrombectomy (ischemic vs. hemorrhagic stroke)
Close-to-patient diagnostics: Automated blood test, imaging and non-imaging devices for timely tPA administration1
Highly automated AI- based real-time decision for type of treatment and path
Decentralized first response intervention, mobile vs. micro-clinics Telehealth assist and remote therapies options
Enabling technologies
Mobile IoT diagnosis solutions (mobile CT, Volumetric Impedance Phase-Shift Spectroscopy (VIPS) device, ultrasound-based portable device)
Identification and localization by real-time tracing and tracking
Rapid, highly sensitive blood testing
Virtual assistance systems (AR glasses) and apps for first response
Transportable devices integrated into mobile Stroke ambulance and micro clinic
Automated telehealth platform with AI-based decision making
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Integrated intervention suites consisting of imaging systems and intervention robotics for precise diagnosis and treatments
Availability is ensured in the care network with comprehensive hubs, micro-clinics and community hospitals that are connected to remote tele-suites for intervention in real-time, assisted and performed by experts to ensure high-quality stroke treatments
Optimized treatment options for patients to access the most-suitable integrated interventional suite
Highly autonomous angio-system collaborating with robotic units
Automated guidance and navigation for robotic intervention, thrombectomy, thrombolysis or micro-surgery
Hemodynamic predictions of risks associated with cerebral aneurysm ruptures
Remote intervention, assisted by the global networked expert pool
Enabling technologies
AI algorithms for automated analysis, triage and interpretation of images
Precise dynamic human computational modelling and simulation
3D/4D color imaging technology and realistic cinematic rendering
Remote real-time interventional robotics with automated navigation
Sensorized smart catheters with wireless communication
IoMT Edge computing, E2E (End-to-end) connectivity, M2M interaction
High data rate transmission, 5G standards for the stroke network coverage
Open Telehealth platform for micro-clinics and community hospitals
Digital twin for patient-centered clinical workflow logistics and resource planning
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Rehabilitation and digital home care services are integrated into the entire stroke pathway to shorten the recovery times
Remote monitoring of patients, powered by virtual assistance for support and rehabilitation
Neurorehabilitation enabled by self-learning robotics
Proactive health management by connected home devices, wearables, and apps
Online analysis of patient status and automated reporting to remote experts
Individualized health prognosis for adaptive regeneration treatments
Enabling technologies
Smart Implants, Wearables and Prosthetics for improving brain functionality
Local monitoring devices connected with remote expert centers
Medical smart-home IoT devices with adaptive assistance systems
Autonomous robotic systems e.g. robotic exoskeleton with secure human-machine interaction
AI-based algorithms for individualized patient treatments and rehabilitation prognosis
Multi-physical modeling and simulation for stroke-related digital twins
Stroke supervision centers will orchestrate the entire patient-centered care pathway from stroke alert over localization, first response, management of a stroke network, to rehabilitation
Patient tracking/navigation and digital twin based predictive planning
Remote autonomous assistance and decisions, including access to global stroke experts
Virtual stroke pathway for predictive decision making for overall workflow optimization
Enabling technologies
Real-time high-speed data transfer with cybersecurity and open cloud-based platform standardization
Data handling and access with blockchain-based platforms, secure digital authentication, and tracking techniques
Virtual and augmented reality
AI algorithms for autonomous decision making
Automated (wireless) connectivity to medical services and experts
Real-time Digital twin for logistics and medical assets
Seamless integration of information and workflows, smart automation from disease onset to therapy
Central control with decentralized high-level automation