https://video.openmedys.eu/about/instance/homehttps://video.openmedys.eu/videos/browse?scope=localhttps://video.openmedys.eu/homehttps://video.openmedys.eu/w/qSaU6dMp7NP3bwYanx2Qvkhttps://video.openmedys.eu/lazy-static/thumbnails/ffa5eb8c-3a57-4b01-a70d-d7c382428855.jpg2 million people across sub-Saharan Africa die of sepsis every year [B2ctnQj5Pxk] 1 view Aug 17, 2025 JOHANNESBURG - South Africa needs to do more in raising awareness around sepsis. That's because an estimated 2 million people across sub-Saharan Africa die of sepsis every year. “Across 45 hospitals, nearly fifteen hundred critical-care beds pulse with live data. The CareExcel Soteria platform turns those signals into foresight. In QA and production alike, it sweeps the last four hours, filters noise, and fuses four vital signs—then an ANN scores risk, with intelligent fallbacks and confidence to match. When a patient trends high-risk, Soteria captures an audit trail, updates its performance dashboard, and—only when it matters—alerts the team. In the next heartbeat, an HL7 ORU^R01 is framed, sent over MLLP, and acknowledged, with every round-trip measured and every outcome rolled up. On the clinician’s screen in CareOn, risk appears exactly where care happens—actionable, timely, and trusted.”https://video.openmedys.eu/static/web-videos/e4a387de-19d2-449a-8d70-926ab3f59d33-480.mp4https://video.openmedys.eu/videos/embed/qSaU6dMp7NP3bwYanx2Qvk402072025-12-05T05:50:26.653ZYESemedys_videosNOhttps://video.openmedys.eu/w/bUBYUPVEfto532ckxewmc4https://video.openmedys.eu/lazy-static/thumbnails/c183194d-6615-4c68-92aa-8a2bdbc6ef3a.jpgCareOnMFAEndpointCareOnMFA is an LDAP proxy endpoint that provides enhanced security through multi-factor authentication (MFA) for Netcare's authentication infrastructure. The system acts as an intelligent intermediary between client applications and the Netcare LDAP directory, adding an additional layer of security verification when required. How It Works CareOnMFA operates as a transparent proxy that: Receives authentication requests from client applications via standard LDAP protocols (search and bind operations) Evaluates authentication requirements by checking user attributes and prescription rights in the Oracle database to determine if additional verification is needed Performs selective MFA verification through integration with Netcare's AES (Authentication & Enhancement System) using the Trust Factory framework Routes authenticated requests to the downstream LDAP servers once verification is complete Key Features API-Based Verification: Unlike traditional MFA systems that use SMS or authenticator apps, CareOnMFA uses external API-based verification through the AES system Selective Authentication: Not all users require MFA - the system intelligently determines requirements based on user roles and prescription capabilities Trust Factory Integration: Uses Netcare's trust factory system to identify which users need enhanced authentication High Availability: Designed to work seamlessly with LDAP cluster infrastructure (ncdcnsldap01/ncdcnsldap02) Comprehensive Logging: All authentication attempts are logged to PostgreSQL for audit and monitoring purposes Session Management: Uses Redis for efficient session tracking and caching Technical Components LDAP Proxy Server: Handles standard LDAP search and bind operations Oracle Database Integration: Queries employee prescription rights PostgreSQL Logging: Comprehensive audit trail of all authentication events Redis Cache: Fast session management and state tracking AES API Integration: Real-time verifica...https://video.openmedys.eu/static/web-videos/81f9f3cf-b808-4be6-a807-3e96fb9dbb88-1080.mp4https://video.openmedys.eu/videos/embed/bUBYUPVEfto532ckxewmc467052025-12-05T08:51:40.782ZYESemedys_videosNOhttps://video.openmedys.eu/w/u9DySfMFSFZtcsgTHy8ADThttps://video.openmedys.eu/lazy-static/thumbnails/82bfaf28-11ca-4033-ab31-a0e5d591c093.jpg20231119 CEO Dr. Friedland mentions Fabian Berger20231119 CEO Dr. Friedland mentions Fabian Bergerhttps://video.openmedys.eu/static/web-videos/f6d846b4-eb46-4c89-a294-6eb0da1a0b4c-720.mp4https://video.openmedys.eu/videos/embed/u9DySfMFSFZtcsgTHy8ADT249012025-12-05T08:52:35.127ZYESemedys_videosNOhttps://video.openmedys.eu/w/mj3MoREByQtsHQu3R2KDYvhttps://video.openmedys.eu/lazy-static/thumbnails/7285fab7-78d5-49ef-80f4-0305e677f8d4.jpgCareOn Revolutionizing Healthcare Digitization 2024CareOn Revolutionizing Healthcare Digitization 2024https://video.openmedys.eu/static/web-videos/3a33a6ad-82ac-4cb3-bc50-0f75ab07d3c7-1080.mp4https://video.openmedys.eu/videos/embed/mj3MoREByQtsHQu3R2KDYv131072025-12-05T08:55:45.741ZYESemedys_videosNOhttps://video.openmedys.eu/w/rKoPyua1GVPabHGU837ctbhttps://video.openmedys.eu/lazy-static/thumbnails/c9c0249b-2a44-4fa1-a938-322f6db0a909.jpgFabian Berger＂AI Models for Early Real-Time Prediction of Deterioration in ICU Patients"Overview The Soteria Sepsis Prediction Platform is an advanced clinical decision support system that uses artificial neural networks (ANN) to predict sepsis risk in real-time across healthcare environments. Designed for seamless integration with electronic medical record systems, Soteria empowers clinicians to identify high-risk patients early and intervene before sepsis progresses to life-threatening stages. How It Works Soteria continuously analyzes patient vital signs data to predict the probability of a patient developing a quick Sequential Organ Failure Assessment (qSOFA) score ≥2 within an 8-to-10 hour window. The platform processes four key vital signs: Blood Pressure (Systolic) Pulse Rate Respiratory Rate Oxygen Saturation (SpO2) Using sophisticated machine learning algorithms, Soteria generates a risk probability score (0-100%) that serves as an early warning indicator for potential sepsis development. Key Features Real-Time Monitoring Continuous 24/7 patient data processing Updates every 15 minutes during operational hours Supports up to 2,500 concurrent patients or points of care Intelligent Alert System Color-coded risk scoring for quick clinical assessment: Red (≥75%) - High risk, immediate attention required Orange (60-74%) - Elevated risk, close monitoring needed Yellow (40-59%) - Moderate risk, continued observation Green (<40%) - Low risk EMR Integration Seamless integration with CareOn and other electronic medical record systems Passive visual alerts within patient charts Bidirectional data flow for comprehensive patient tracking HL7 messaging support for healthcare system interoperability Clinical Interface User-friendly dashboard for clinicians Comprehensive patient overview with trend analysis Integrated observation charts displaying scores alongside vital signs Feedback mechanism for continuous model improvement Technical Capabilities Robust Architecture Hybrid scoring approach with intelligent fal...https://video.openmedys.eu/static/web-videos/d4a7a727-ad09-4292-b1c3-a6ceebf4ef37-1080.mp4https://video.openmedys.eu/videos/embed/rKoPyua1GVPabHGU837ctb72012025-12-05T08:55:47.262ZYESemedys_videosNOhttps://video.openmedys.eu/w/cb3gY4Fco2QnLuhugcuLJahttps://video.openmedys.eu/lazy-static/thumbnails/33225565-951f-4969-9077-ce7ff731e4a0.jpgSepsis claiming millions of lives - “Live at 45 Hospitals： Predicting Sepsis Early with Soteria”Overview The Soteria Sepsis Prediction Platform is an advanced clinical decision support system that uses artificial neural networks (ANN) to predict sepsis risk in real-time across healthcare environments. Designed for seamless integration with electronic medical record systems, Soteria empowers clinicians to identify high-risk patients early and intervene before sepsis progresses to life-threatening stages. How It Works Soteria continuously analyzes patient vital signs data to predict the probability of a patient developing a quick Sequential Organ Failure Assessment (qSOFA) score ≥2 within an 8-to-10 hour window. The platform processes four key vital signs: Blood Pressure (Systolic) Pulse Rate Respiratory Rate Oxygen Saturation (SpO2) Using sophisticated machine learning algorithms, Soteria generates a risk probability score (0-100%) that serves as an early warning indicator for potential sepsis development. Key Features Real-Time Monitoring Continuous 24/7 patient data processing Updates every 15 minutes during operational hours Supports up to 2,500 concurrent patients or points of care Intelligent Alert System Color-coded risk scoring for quick clinical assessment: Red (≥75%) - High risk, immediate attention required Orange (60-74%) - Elevated risk, close monitoring needed Yellow (40-59%) - Moderate risk, continued observation Green (<40%) - Low risk EMR Integration Seamless integration with CareOn and other electronic medical record systems Passive visual alerts within patient charts Bidirectional data flow for comprehensive patient tracking HL7 messaging support for healthcare system interoperability Clinical Interface User-friendly dashboard for clinicians Comprehensive patient overview with trend analysis Integrated observation charts displaying scores alongside vital signs Feedback mechanism for continuous model improvement Technical Capabilities Robust Architecture Hybrid scoring approach with intelligent fal...https://video.openmedys.eu/static/web-videos/5c3c29d8-5a66-42fc-b0ce-93647e36ebec-720.mp4https://video.openmedys.eu/videos/embed/cb3gY4Fco2QnLuhugcuLJa122002025-12-05T08:57:04.854ZYESemedys_videosNOhttps://video.openmedys.eu/w/cruxh3KuCUXznSFZTd4Zcehttps://video.openmedys.eu/lazy-static/thumbnails/f683075a-c5b1-4013-be25-bbc31b7d8500.jpgCareOn EWS A 5 Minute Dashboard IntroductionJoin us for a quick, engaging 5-minute tour of the CareOn Early Warning System dashboard, designed to enhance clinical efficiency and patient care. In this video, we'll showcase how Shomer-AI acts as a vigilant guardian, detecting issues before they escalate, providing clear insights into system health, and empowering healthcare teams with vital information at their fingertips. From logging in to exploring subsystems, baselines, and alerts, we’ll walk you through every feature. Discover how our automated system improves operations and minimizes downtime by transforming telemetry into actionable insights. Don't forget to like and share this video to spread the word about the future of healthcare IT! #CareOn #EarlyWarningSystem #HealthcareIT #ShomerAI #DashboardTour #ClinicalEfficiency #PatientCare OUTLINE: 00:00:00 The Digital Heartbeat of Patient Care 00:01:25 The Guardian of Hospital Operations 00:02:16 From Overview to Clinical Subsystems 00:03:14 Pinpointing Problems with Precision 00:04:19 Why Constant Vigilance Mattershttps://video.openmedys.eu/static/web-videos/069eaae6-247e-478d-9056-6eceb50b5d4c-720.mp4https://video.openmedys.eu/videos/embed/cruxh3KuCUXznSFZTd4Zce308022026-03-03T06:33:05.546ZYESemedys_videosNOhttps://video.openmedys.eu/c/emedys_videos/videoshttps://video.openmedys.eu/a/fabianberger/video-channels