Modern Health Data Management
Our solutions for data rooms optimize the management of healthcare data, promote interoperability and support clinics and research institutions with digitalization.
efficient Data manegement in the healthcare sector
Our Health Data Management offers powerful solutions for optimizing data flows, interoperability and data integration for clinics, research institutions and hospital networks.
In an increasingly digitalized healthcare landscape, efficient integration and management of healthcare data is required. Our Health Data Management solutions support both research projects and the entire clinical treatment pathway with a healthcare management system - from Clinical Data Repository (CDR) to Interoperability Platform (IOP) and value-added services.
The Clinical Data Repository (CDR) enables the centralized and manufacturer-independent management of healthcare data. The platform consolidates patient data from various IT systems such as KIS, LIS and PACS in a semantically standardized data structure. This enables a holistic view of patient data, optimizes research and accelerates and optimizes care processes. In addition, the CDR increases data sovereignty through the use of open standards such as openEHR and FHIR.
Our interoperability platform (IOP) ensures the smooth exchange of data between different IT systems and hospital networks. It uses open standards such as HL7, IHE and FHIR to ensure efficient and secure data harmonization. The platform also enables fast and accurate provision of healthcare data for research, care and decision-making processes.
Based on the customer-specific solution structure, CDR and IOP offer ideal starting points for a variety of value-added services for administrative, clinical-administrative and medical areas - the aim is a data room for medical controlling, quality assurance, research and decision support in the diagnosis and treatment process of patients.
Sophisticated and efficient health data management offers enormous potential to increase value creation and digitalization in the healthcare sector and drive digital transformation forward. It enables precise real-time analyses, meaningful reports and seamless data synchronization between all stakeholders in the healthcare system. In this way, it makes a decisive contribution to improved information and well-founded decisions in the care process.
Open standards such as openEHR and FHIR, which are integrated into CDR/IOP solutions, ensure manufacturer-independent (VNA) interoperability and give users full data sovereignty. A particular focus here is on maximum data security: the separation of demographic and medical data not only creates trust in research, but also lays the foundation for the secure use of innovative technologies in the field of artificial intelligence, such as machine learning (ML) and large language models (LLM).
In addition, the centralized storage and structured preparation of data offers the possibility of fast access and precise analyses, which can increase efficiency in everyday medical practice. Thanks to its flexible scalability and modern container technology, combined with operation on the Open Telekom Cloud, this solution is ideally prepared for the requirements of the future. Efficient health data management combines security, interoperability and performance - and thus forms the foundation for a networked, future-oriented healthcare system.
The Health Data Management solutions are aimed at various players in the healthcare sector who want to benefit from centralized and efficient management of healthcare data. Hospitals and hospital networks receive a centralized solution that enables them to manage patient data securely and use it effectively. Research institutions, on the other hand, benefit from consolidated access to structured data that is essential for clinical studies and research. Insurance and pharmaceutical companies can also benefit from the solutions, as healthcare management systems support precise data analysis, which is essential for informed decisions and better planning.
What do the
Health Data Management solutions offer?
Efficiently collect, transform, integrate and validate health data from multiple sources: To acquire data, patient data can be collected from a variety of sources, including electronic health records, laboratory data and medical devices. This ensures a comprehensive and up-to-date database in health data management. The collected data is transformed into a standardized format to facilitate analysis and use. The transformation includes cleansing and standardizing the data to ensure its quality and consistency. Rigorous validation processes ensure that the health data is accurate and reliable. This is crucial for precise diagnoses and treatment decisions. A centralized view of aggregated data, for example through seamless integration into existing information systems, supports cross-divisional and cross-sector collaboration.
In a Clinical Data Repository (CDR), all patient-centered and medical data is modeled and stored. This health data is stored using international standards such as FHIR or openEHR. Since the data is retained in its original format, a CDR ensures not only future-proofing but also enables the use of health data independently of individual vendors. This allows for centralized storage, structured processing, and real-time availability for other applications. As a result, clinics, for example, are supported in building an interoperable, data-driven system landscape and working more efficiently in healthcare delivery and clinical research.
An interoperable use of electronic health data within a platform or for dedicated value-added services is enabled, for example, through the use of a FHIR facade or AQL queries. This allows the data to be leveraged for further applications such as machine learning (ML), research or patient portals, and clinical decision support systems (CDSS). The integration and exchange of health data - through centralized storage, structured processing, and real-time availability - enables better utilization of the data across various applications. This creates an interoperable, data-driven system landscape that supports more efficient work in both healthcare delivery and research.
Our services – your Benefits
Health data management solutions such as CDR and IOP enable vendor-independent digitalization and serve as the foundation for a networked digital transformation and innovation strategy.
Take a look at your benefits:
Implementing aggregated data management in healthcare can enable consolidated and persistent quality of patient data. This reduces existing data silos and minimizes interface effort. Harmonizing and standardizing data sources creates a central, reliable database that can be used for various healthcare applications. This leads to improved data quality and facilitates access to relevant information, ultimately increasing the efficiency and effectiveness of healthcare delivery.
Vendor independence and the separation of data storage and application not only reduce interface costs but also consolidate data sovereignty. This separation ensures that health data can be managed and stored independently of specific vendors, increasing flexibility and control over the data. This helps companies and organizations maintain their data sovereignty while improving the efficiency and security of their data processing systems.
Centralized, harmonized data storage and interoperable use in health data management contribute significantly to reducing inconsistencies in medical data and improving its quality. Standardizing data sources and creating a consolidated database ensures that all relevant information is consistent and reliable. This not only facilitates access to data but also enables more efficient and accurate analysis, ultimately leading to higher data quality. System interoperability ensures that data can be exchanged seamlessly between different applications and institutions, further improving the overall quality and availability of medical data.
Improved data consistency within a centralized storage system provides easier access to patient data and enables or facilitates patient involvement in the care and research process. Centralized storage keeps all relevant information consistent and reliable, simplifying access to these electronic health data for patients and medical staff. This leads to more active patient participation in their own healthcare and supports research through access to high-quality and consistent data.
What differs CDR from traditional data management systems?
The Clinical Data Repository (CDR) consolidates and aggregates data from disparate systems, regardless of manufacturer, and provides a central, unified view of healthcare data. This data health management facilitates its use for research and clinical applications within an interoperability platform (IOP) and/or specific value-added services.
Where do the solutions support clinical care?
Hospitals process highly sensitive data within inpatient care. Due to the multitude of data sources and specialized departments within hospitals, IT applications and infrastructure often have a heterogeneous environment.
To meet future requirements regarding the application of artificial intelligence and the increasing volume of data, IT resources must therefore be increasingly scalable. This is necessary both for the provision of Clinical Decision Support Systems (CDSS) and for supporting various clinical processes.
In this context, T-Systems' Health Data Management solutions support the creation of a modern, digital foundation for IT and healthcare applications by storing healthcare and process data in a structured manner, enriching it, and making it available for further use.
By establishing a Clinical Data Repository (CDR), the conditions can be created for consolidating the necessary data across systems in one place (a single point of truth).
Are there examples for value-added services?
The value-added services based on a CDR or IOP range from analytical KPI dashboards for clinical management, apps and reports for clinical staff, business intelligence (BI) for controlling, to the provision of portals, IoT solutions, and AI/ML-supported data pools.
In addition to horizontal added value such as analytics, dashboards, cockpits, and BI, CDR and IOP also offer the integration of vertical added value in the context of care, research, administration, and patient management. The spectrum ranges from clinical decision support systems (CDSS) and alert apps (e.g., sepsis) to feasibility checks and gap analyses for patient pools or data research sandboxes in research, to AI-supported translation of unstructured data into structured health data (medical history, doctor's/discharge letters), and data utilization from wearables, RWD (real-world data), and ePRO (electronic patient record outcome).
What are the challenges for the future-proof data spaces in healthcare?
One of the biggest challenges for future-proof data spaces in healthcare is the lack of data connectivity. Electronic health data is often stored in different systems and formats, making its integration and use difficult. Furthermore, much data is poorly structured and semantically insufficiently prepared, which hinders or at least limits analysis and exchange. However, a more serious problem is the lack of data necessary for comprehensive analyses and decisions due to the lack of interfaces or the limited availability of data. In addition, the problem of delayed data provision can lead to important information not being available in a timely manner, which impairs the efficiency and quality of healthcare.
Data protection insecurity also poses a major challenge: Strict regulations and concerns about data security complicate the use and exchange of healthcare data. Finally, there is often no integrative use of pseudonymized healthcare data for research projects, which limits the potential for scientific discoveries and innovations in healthcare.