TCC GmbH

TCC GmbH

Krankenhäuser und Gesundheitseinrichtungen

Die Zukunft nah am Menschen

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Our next generation digital telemedicine solutions enhance the quality and efficacy of medical care, allowing the healthcare staff to refocus on its original job – caring for the patient. The Tele-ICU team with one highly experienced intensivist can provide service for 100 or more ICU patients at any time by leveraging high quality telemedicine clinical decision support, made possible by predictive algorithms and artificial intelligence. Machine learning can enable the tele-ICU team to identify patterns in large data sets of high-frequency, real-time patient data (e.g. vital parameters, laboratory results, ventilator setup, etc.) to provide support that can range from detection of unintentional pharmaceutical interactions to prediction of deterioration and outcome of ICU patients. This transformation in ICU care will result in large medical competence centers providing this type of high-end telemedicine and will create new specialties such as “Telemedicine Specialist”. Again, telemedicine is not a competitor, but rather a supporter, of ICU performance optimization. Collaboration between centralized centers and bedside teams will lead to improved outcomes, shorter length of stay, decreased purchased care costs, and greater staff satisfaction. The Society of Critical Care recently recommended replacing the term “tele-ICU” with “tele-critical-care” due to the fact that existing tele-ICU providers have extended their service to other departments (e.g. emergency department, stroke unit), indicating fast adoption of telemedicine in broad applications. Furthermore, many medical smartphone apps exist, though quality and relevance varies greatly. As smartphones permeate modern daily life and routine, there is growing interest in utilizing them in telemedicine; however, at this point there is limited large-scale evaluation of this use.

Branche
Krankenhäuser und Gesundheitseinrichtungen
Größe
11–50 Beschäftigte
Hauptsitz
Hamburg
Art
Kapitalgesellschaft (AG, GmbH, UG etc.)
Gegründet
2020
Spezialgebiete
Telemedizin, Digitalisierung, Facharztexpertise, Remote Critical Care, AI-Development und ML, neuronural networks , deep learning

Orte

Beschäftigte von TCC GmbH

Updates

  • Unternehmensseite von TCC GmbH anzeigen, Grafik

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    Meet us at GWK 2024 to talk about critical challenges in medical care and how to collaboratively seek solutions TCC is honored to be a participant at GWK 2024, eagerly anticipating the opportunity for high-caliber professional dialogue.   The disarray of the health care system, characterized by severe deficits and a growing number of bankruptcies, is the most important challenge. Despite the political and financial uncertainties, as well as shortage of staff, it is crucial for businesses to develop a forward-looking stance and the ability to actively shape the future.  Our visionary and innovative software solutions address this change.   The Healthcare Industry Congress 2024, scheduled for September 18th and 19th in Hamburg, promises a comprehensive agenda, tackling over 40 sessions on the industry's pivotal topics.   Prof. Dr. Christian Storm, Managing Director of TCC GmbH, will participate in the panel "EXPERTS TOGETHER FOR SUCCESS" to discuss the role of telemedicine and AI in supporting contemporary and future medicine.   Panel: EXPERTS TOGETHER: TOGETHER FOR SUCCESS Location: ARENA - OAK ROOM Time: September 18th, from 5:30 to 7:00 pm   The panel will feature brief presentations and discussions by: - Uwe Jahn  authorized Signatory and Strategic and Operational Manager of ABConcepts Verpflegungsmanagement with System GmbH, Ratingen - Bünyamin Saatci  Managing Director of Prospitalia GmbH, Ulm - Stefan Starke  Managing Director of HMG - Hospital Management Group GmbH, Schleswig - Dr. Uwe Gretscher  Chairman of the Management Board of Kliniken Südostbayern AG, Traunstein - Dr.Lukas Aschenberg  Managing Partner of Tiplu GmbH, Hamburg   The session will be moderated by Prof.Dr.Dr.Wilfried von Eiff, Head of CKM - Center for Hospital Management (University of Münster). We look forward to the diverse exchange at the GWK and are excited to see what solutions and ideas the event has in store.   #GWK #HealthcareCongress #Hamburg #Panel #HealthcareIndustry #Experts #AI #Telemedicine  

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    Dr. Alexander Krannich on how to revolutionize patient care with lightning-fast data analysis

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    Exploring the Power of Tensor Processing Units (TPUs) for High-Frequency Patient Data Analysis – Dr. Alexander Krannich (msc) on how to revolutionize patient care with lightning-fast data analysis In the realm of healthcare, managing and analyzing high-frequency patient data is crucial for delivering timely and accurate diagnoses. Traditional processing units often struggle to keep pace with the immense volumes of data generated, but there's a game-changer on the horizon: Tensor Processing Units (TPUs). TPUs, specifically designed to accelerate machine learning tasks, offer unparalleled performance in processing large datasets quickly and efficiently. Their ability to handle complex computations at lightning speed makes them ideal for the healthcare sector, where every second counts. We are currently considering adding TPUs into our TCC systems to faster manage and analyze high-frequency patient data. By leveraging the power of TPUs, we aim to improve: 1. Tripple Data Processing Speed: Significantly reduce the time required to process and analyze patient data, leading to quicker decision-making and improved patient outcomes.
 2. Improve Accuracy: Increase the accuracy of data analysis through advanced machine learning models, allowing for more precise diagnostics and personalized treatment plans.
 3. Boost Efficiency: Optimize our computational capacities, enabling us to handle larger datasets with greater efficiency and optimized use of resource. The extension of TPUs to our TCC data processing workflow holds the promise of revolutionizing how we manage patient data, pushing the boundaries of what is possible in healthcare technology. Stay tuned for more updates as we explore this cutting-edge technology and its potential to transform the healthcare industry! #HealthcareInnovation #TPUs #MachineLearning #BigData #PatientCare #TCC #FutureOfHealthcare #TechInHealthcare #DataAnalysis

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    Dr. Alexander Krannich explains the critical role of #qualityassurance in medical AI development.

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    The critical role of quality assurance in medical AI development at TCC GmbH In the rapidly evolving field of medical AI, ensuring the highest level of quality is not just a goal —it’s crucial. At TCC GmbH, we recognize that the accuracy, reliability, and safety of our AI-driven solutions directly impact patient care. That’s why Quality Assurance (QA) is at the heart of everything we do. Why is Quality Assurance Crucial in Medical AI? 1. Patient Safety:  In healthcare, even the smallest miscalculation can have significant consequences. Rigorous QA processes ensure that our AI algorithms perform consistently and accurately, minimizing the risk of incorrect decisions[KS1] , which improve and constantly optimize treatment quality, efficiency and resource utilization 2. Regulatory Compliance:  The regulation of the medical industry is highly regulated to ensure the necessary care for patients. It is therefore important and guided for us that we create the basis with our quality assurance to meet and exceed the standards of the health authorities. This not only ensures compliance but also builds trust with our clients and end-users. 3. Reliability and Consistency:  QA processes help identify and mitigate potential issues early in the development cycle, leading to more reliable and consistent AI solutions. This reliability is critical for healthcare professionals who rely on our technology for accurate decision-making. 4. Continuous Improvement:  QA is not a one-time task – it’s an ongoing commitment. We continuously monitor and refine our AI models to adapt to new data, medical advancements, and user feedback, ensuring that our solutions remain at the forefront of innovation. How TCC GmbH Maintains High QA Standards At TCC GmbH, we’ve implemented a comprehensive QA framework that includes: - Rigorous Testing Protocols:  Extensive testing at every stage of development to identify and resolve potential issues. -  Data Integrity Checks:  Ensuring that the data used to train our AI models is accurate, representative, and low of bias. - User-Centered Design: Collaborating with healthcare professionals to ensure that our solutions meet real-world needs and are intuitive to use. -  Regular Audits and Reviews: Continuous auditing and performance reviews to maintain the highest quality standards over time. By prioritizing quality assurance, TCC GmbH is committed to delivering AI solutions that healthcare professionals can trust—because when it comes to patient care, only the best is good enough. #QualityAssurance #MedicalAI #HealthcareInnovation #TCCGmbH #PatientSafety #MedTech

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  • Unternehmensseite von TCC GmbH anzeigen, Grafik

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    Modern medicine is making great strides! The networking of IntensivLEBEN and Magdeburg Hospital is a fantastic example. The outpatient ventilation and weaning center IntensivLEBEN, with locations in Saxony, the Ore Mountains, Chemnitz and Dresden, is connected to the Klinikum Magdeburg via a telemedical network using TCC's digital solutions. By linking the two healthcare providers, the IntensivLEBEN medical team can now access the expertise and support of the Magdeburg hospital, which is a huge benefit! It allows them to plan and allocate resources more effectively, which is great for everyone involved.    Thanks to the telemedical network solution e:lmo (electronic health monitoring & operations), the connection point in Magdeburg can now provide invaluable support for the patients cared for by IntensivLEBEN! All of the patients' vital parameters are displayed in an intuitive and clear manner using an innovative dashboard solution (e:va - electronic visual analytics). The best part is that the dashboard can be viewed at both hubs, which gives everyone an overview and plenty of time for resource-saving exchange and individual patient care.    TCC is thrilled to partner with ResMed Germany Inc. and TZM GmbH to implement the network and dashboards with cutting-edge equipment. The data collected via the ResMed ventilators flows into the dashboard generated by TCC, enabling precise and individual monitoring – a game-changer in patient care! The amazing Universal Medical Gateway (UMG) from TZM makes it all possible by connecting medical devices.     TCC has designed a digital data flow that enables a secure, reliable, and real-time communication structure between the two companies – a truly impressive feat! This is great news for everyone involved! Thanks to this new telemedicine network, we can now obtain necessary information quickly and easily, while maintaining the same level of quality. This is a long-term and future-oriented solution that will allow us to keep the strengths of individual medical facilities while multiplying them by linking them together. We are so excited to see this pioneering pilot project come to life! On site for the recent Go Live from left to right: ·      Georg Richter, Study and Project Coordination IntensivLEBEN ·      Ellen Moro, Head of Nursing Services IntensivLEBEN  ·      Susanne Koch, Respiratory Therapist Intensive Care  ·      Sonja N., ResMed healthcare Manager Regional Field Organization  ·       Rami El Osmani, ResMed Germany Inc - Solution Consultant Partner Integration Digital Care  ·       Laura Köhler, TCC Project and Strategy Manager  ·       Prof. Dr. med. Martin Sauer, Chief Physician of the Clinic for Intensive Care Medicine (IST) Klinikum Magdeburg gGmbH  ·       Lucas Finke, ResMed healthcare, Mobile Medical Device Consultant #telemedicine #medicalnetworking #intensivecare #weaningcenter #patientcare #digitalhealth #healthtech #healthmonitoring #patientmanagement #medicaldashboard

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  • TCC GmbH hat dies direkt geteilt

    Unternehmensseite von TCC AI & Analytics anzeigen, Grafik

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    In the world of artificial intelligence and machine learning, Convolutional Neural Networks (CNNs) have become a game-changer, especially in fields like healthcare. But what exactly are CNNs, and how are they benefiting our work at TCC? What Are CNNs? CNNs are a type of deep learning algorithm specifically designed to process and analyze tensor data. Unlike traditional neural networks, CNNs automatically and adaptively learn spatial hierarchies of features, making them exceptionally good at interpreting wave forms like ECGs. Key Advantages of CNNs in Medical Applications 1.     Superior Image Recognition: CNNs are particularly effective at recognizing patterns in medical data, such as wave forms. This capability is crucial for accurate diagnosis and treatment planning. 2.     Automated Feature Extraction: One of the standout features of CNNs is their ability to automatically extract relevant features from wave forms, reducing the need for manual intervention and enabling the detection of subtle anomalies that might otherwise go unnoticed. 3.     High Accuracy and Reliability: CNNs are trained on vast amounts of data, allowing them to achieve high levels of accuracy and reliability in wave form analysis. This is vital for developing algorithms that healthcare professionals can trust. 4.     Scalability: As medical imaging data continues to grow, CNNs provide a scalable solution that can handle large datasets while maintaining performance. This scalability is essential for keeping pace with advancements in medical technology and patient care. 5.     Enhanced Processing Speed: CNNs are optimized for processing large volumes of data quickly. This speed is crucial in medical applications where timely analysis can significantly impact patient outcomes. At TCC GmbH, we harness these advantages to develop cutting-edge algorithms that enhance diagnostic accuracy, improve patient care, and push the boundaries of what's possible in medical technology. #ConvolutionalNeuralNetworks #DeepLearning #MedicalAI #HealthcareInnovation #TCCGmbH #MedTech

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  • Unternehmensseite von TCC GmbH anzeigen, Grafik

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    Svenja Stadler, a Bundestag member from the SPD, recently visited the TCC headquarters in Hamburg to discuss digital networks' role in hospital reform success.    Last Wednesday, Mrs. Svenja Stadler, representing the SPD in the district Harburg, had a detailed discussion on TCC's telemedical network solutions, crucial for the reform.   A live demo was presented, showing an intensive care unit connected to our Competence Center. Our telemedical network solution, e:lmo (electronic health monitoring & operations), enables the integration of various entities. This network allows for immediate consultations or proactive advice from specialists monitoring the shared vital data. Such digital collaboration ensures patients receive timely and comprehensive care from relevant specialists, regardless of location. It also provides rural medical centers with specialized knowledge without transferring patients.   Her visit highlighted the political need for efficient, comprehensive solutions for hospital reform. Our telemedical network is such a solution, enabling hospitals to sustainably use their resources and become regional medical hubs.   The network forecasts each patient's treatment path, necessary attention, and resources for ideal care. Thus, healthcare digitalization aims to streamline processes and reduce the burden on hospitals and medical facilities, a view supported by all involved parties. We were very pleased about the forward-looking exchange with Mrs. Stadler and are motivated to face the upcoming changes in the healthcare sector.    #healthcare #digitalization #telemedicine #hospitalreform #AI #telehealthnetwork #elmo #TCC

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    Exciting News! The International Neuroscience Institute (INI) in Hannover, renowned for its expertise in the brain, spinal cord, spinal column, skeletal system, and nerves, will be fully digitized by TCC and established as a telemedical flagship project in Hannover. Following a successful go-live, TCC has been commissioned to comprehensively digitize INI’s private clinic. This includes implementing a holistic digital communication solution, innovative technical support, a cloud solution, and medical co-care for intensive care patients. Our 24/7 medical services, provided by intensive care physicians, offer robust support in special cases. Moreover, our specially developed AI enhances resource optimization, process efficiency, and patient safety. The INI Hannover will benefit from a cutting-edge telehealth platform featuring proactive advice and consultation services. Additionally, we are deploying customized dashboards for resource management. In collaboration with Avelios, TCC is installing a preconfigured, cloud-based PDMS for ICUs and ORs, as well as a cloud-based HIS, ensuring seamless integration and a smooth, sustainable transition to digital management. This initiative propels care efficiency to unprecedented levels, elevating INI’s already exceptional services to a future-focused, digital standard. TCC’s digitalization services streamline processes and structure data for intuitive, sustainable use and evaluation. We are thrilled about this innovative collaboration and look forward to setting new trends in healthcare. #digitalhealth #telehealth #cloudsolutions #healthcareinnovation #healthit #smarthealthcare #patientcare #telemedicine #innovativehealthcare #healthtech #intensivecare #neuroscience #his #pdms #medicalresearch #sustainablehealthcare #proactivecare

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  • Unternehmensseite von TCC GmbH anzeigen, Grafik

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    Digitalization of a Major Healthcare Provider - KRH Klinikum Region Hannover   The KRH - Klinikum Region Hannover, a leading medical provider in Hannover and its vicinity, accounts for 40 percent of the regional hospital care across ten locations. It consolidates specialists and expertise in 27 disciplines to deliver optimal medical care to patients. Since the onset of 2024, TCC has initiated the digitization of intensive care units. In a span of just eight months, we have effectively rolled out a digital, cloud-based Patient Data Management System (ICCA) across six locations, starting from scratch to a fully operational state with a completely trained staff. In Gehrden, Siloah, Großburgwedel, Neustadt, Nordstadt, and Laatzen, 235 beds in intensive care and stroke units have been integrated. Modernization necessitates the modification and overhaul of current processes, a task TCC is intensively aiding. Our team guarantees a solution-focused and intelligible initiation and transition on-site. The personal engagement with our team and the clarity of our communication have been especially commended.   These elements are pivotal for the success of our project throughout the implementation phase. A recent survey among nurses, doctors, project managers, and decision-makers during the digitalization at KRH indicates that our cordiality and transparent communication are highly valued.   TCC's commitment to empathy, respect, and innovative thinking has been instrumental in helping us understand our workflows, seek effective solutions, and achieve significant internal breakthroughs.   #Digitalization #KlinikumRegionHannover #Medicine #Hospital #Cloudsolutions #PDMS #Efficiency #Patient care #Healthcare #Innovations #TCC

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    Kick-off at Salus Altmark Holding    We are thrilled to announce that TCC has initiated the advanced digitalization of Salus Altmark Holding's clinics, marking another significant step in digitalization and medical networking within the German healthcare sector.   Since the project's inception in mid-June, we have been implementing our on-demand telemedical service, a digital patient data management system (PDMS ICCA), and integrating smart dashboards for real-time data analysis at the acute clinics in Gardelegen (since 16.07.) and Salzwedel (since 17.07.).   Our on-demand telemedical service is powered by our cutting-edge product, e:lmo (electronic health monitoring and operations), which guarantees swift and effective medical care from our tele-ICU medical team. The digital link facilitates rapid consultations and the augmentation of team resources as needed. E:lmo helps to prevent delayed medical consultations and limited specialist access which can be caused by the high pressure which lies on institutions in modern healthcare. Our monitoring and operations solution ensures timely and effective patient care. The incorporation of ICCA PDMS brings contemporary patient data management into our workflow, ensuring optimal care delivery. The use of a PDMS as implemented by TCC brings the benefits of streamlining patient data management, which ensures accurate and timely access to patient information and enhanced workflow efficiency. Our solution enables important patient data to be constantly updated and synchronized. Furthermore, our e:va dashboards (electronic visual assistant) complete the holistic approach by providing a clear and succinct display of vital information through real-time data analytics. Any lack of real-time data analysis and monitoring can be improved by the integration of specially designed dashboards. E:va offers clear and succinct displays of vital information through real-time data analytics, enhances decision-making, allows for immediate action based on current patient data, and improves overall patient monitoring. The advanced digitalization of clinic operations reduces administrative burden on healthcare staff, improves efficiency of medical services, and allows healthcare professionals to focus more on patient care rather than paperwork. Our solutions collectively enhance the efficiency, effectiveness, and quality of patient care, addressing critical challenges faced by hospitals. These advancements fortify the internal medical network of Salus Altmark Holding. The collaboration between the two clinics and shared data analysis will lead to an optimized allocation of resources and a lasting improvement in care quality. On site for the kick-off (from left to right): Jörg Wächter Head of IT (Salus Altmark Holding), Christian Siewert Head of IT (TCC), Laura Köhler Project and Strategy Manager (TCC) and Dr. Holger Fritzsche Project Manager (Salus Altmark Holding) #golive #digitalhealth #telemedicine #healthcare

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  • Unternehmensseite von TCC GmbH anzeigen, Grafik

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    At TCC GmbH, we are dedicated to advancing healthcare through AI innovation. Using Keras 3.0 allows us to push the boundaries of predictive modeling, especially in critical areas such as predicting kidney failure. All the benefits of Keras 3.0 are explained by Dr. Alexander Krannich in the following post.

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    Unlocking AI Potential: TCC implements Keras 3.0 for cutting-edge deep learning projects – all the benefits explained by Dr. Alexander Krannich (MSC) At TCC GmbH, we are committed to advancing healthcare through AI innovation. The adoption of Keras 3.0 empowers us to push the boundaries of what's possible in predictive modeling, particularly in critical areas such as kidney failure prediction. Therefore, we are proud to announce our plans of integration of Keras 3.0 into our advanced predictive algorithm development, specifically for high-frequency data analysis like predicting kidney failure. This latest version of Keras brings a host of powerful features that align perfectly with our mission to leverage cutting-edge AI technologies for healthcare innovation. Key Highlights of Keras 3.0: Achieve Optimal Performance: With Keras 3.0, we can dynamically select the best backend for our models, ensuring peak performance on GPU, TPU, and CPU without modifying our code. Our benchmarks reveal that JAX often provides superior training and inference performance, though non-XLA TensorFlow sometimes excels on GPU. Ecosystem Flexibility: Keras 3 models offer unprecedented flexibility across different ecosystems. We can instantiate our models as PyTorch Modules, export them as TensorFlow SavedModels, or use them as stateless JAX functions. This interoperability gives us access to the full suite of ML tools from TensorFlow, PyTorch, and JAX, enabling us to optimize our predictive algorithms efficiently. Scalable Parallelism with JAX: The new `keras.distribution` API supports both model and data parallelism for large-scale training, initially available for JAX and soon for TensorFlow and PyTorch. This feature is crucial for our high-frequency data projects, allowing us to scale our predictive models effectively while keeping model definition, training logic, and sharding configuration separate for ease of development and maintenance. Maximize Model Reach: By implementing our models in Keras 3, we ensure they are compatible across multiple frameworks, doubling our potential user base without additional development effort. This is essential for releasing our pretrained models to the broadest audience possible. Flexible Data Pipelines: Keras 3's `fit()`, `evaluate()`, and `predict()` routines are compatible with `tf.data.Dataset` objects, PyTorch DataLoader objects, NumPy arrays, and Pandas dataframes, regardless of the backend. This compatibility is vital for our workflow, allowing seamless integration and training of our predictive algorithms on diverse data sources. #Keras #DeepLearning #AI #MachineLearning #ArtificialIntelligence #DataScience #TechInnovation

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