Journal View and Observation - Unleash the power of data

Unlock the potential of healthcare data and graphical insights with Journal View and Observations – two powerful openEHR modules that run on Lifecare Open Platform or any openEHR-based platform.

Built natively on openEHR, Journal View and Observations transform how healthcare professionals interact with patient data on any compatible platform. When deployed on the Lifecare Open Platform, they integrate seamlessly with wider Lifecare services.

Data offers huge potential for improving healthcare and treatment – as long as it can be managed, processed and interpreted correctly. However, with so much patient data fragmented across different systems, this can be difficult to achieve. Especially since many healthcare IT systems have limited tools or lack efficient workflows when it comes to data utilization.

Journal View and Observations are openEHR-compliant modules designed to unify, simplify, and optimise patient data. They can be deployed on any openEHR-based platform and are also available as part of the Lifecare Open Platform portfolio.

Journal View enables patient records from multiple systems to be consolidated into one unified interface, while Observations delivers intuitive graphical insights from complex, multi-source datasets. Both modules are configurable for the needs of any healthcare professional.

Together, these modules empower healthcare providers to optimize workflows, improve decision-making, and deliver better patient care.

Sofia Kauppila

Clinical Lead, Tietoevry Care

All patient data in one intuitive view

Consolidate patient data from multiple systems into one unified interface, including historical data from across specialties, while also utilizing new data into one operating system.

Unified data access

Consolidate patient data from multiple systems into one unified interface, including historical data from across specialties, while also utilizing new data into one operating system.

Transform and summarize complex datasets into graphical visualizations to unlock unique insights and enable faster real-time decision making.

Healthcare data visualization

Transform and summarize complex datasets into graphical visualizations to unlock unique insights and enable faster real-time decision making.

Fully compliant with openEHR and other interoperability standards, enabling seamless integration with a wide range of clinical systems—regardless of which openEHR platform an organisation uses.

Built on openEHR standards

Fully compliant with openEHR and other interoperability standards, enabling seamless integration with a wide range of clinical systems—regardless of which openEHR platform an organisation uses.

Features for enhanced data utilization

Doctor examining patient's arm during appointment

Advanced search and filters

By customizing filters and utilizing extended search options, clinicians can ensure easy access to critical data most relevant to them. This will help improve decision making and facilitate more efficient patient consultations.

Real-time editing and updates

Ensure accuracy and streamline updates with easy access to previous versions and direct editing options.

Doctor using a phone, giving patient an online consultation

Full data availability

Clinicians can access complete patient overviews, including data from any openEHR CDR as well as third-party systems. Observations can also utilize data from other sources, such as medical devices, to visualize and monitor treatment effectiveness and trends.

Fever Curve

Fever Curve provides a complete, timeline-based view of a patient’s status—combining vitals, medications, and care actions in one place. Designed for inpatient care, it enables fast assessments and informed decisions. Clinicians can enter new data directly, filter by parameter, and visualize relevant information. Built on standardised health data frameworks, it simplifies workflows and enhances care quality.

Additional modules

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