More efficient care through embedded guidelines
Embedding guideline-based workflows into care delivery improves consistency, reduces errors, and ensures best practices are maintained despite staff turnover or individual interpretation.
Where HIP creates value across care delivery
Explore the different ways vitagroup HIP can help your organisation improve care delivery, efficiency, and patient outcomes. From standardising care and reducing administrative burden to optimising pathways and enabling better use of data, it brings more consistency to everyday work while creating long-term value across care settings. Select your care setting below to see the use cases for hospitals, health regions or research institutions.
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Lower costs with configurable digital pathways
Move care beyond hospital walls with configurable digital pathways that help determine local vs. escalated care decisions, reducing unnecessary tertiary referrals (up to 54%) and lowering costs.
Faster clinical decisions with trusted medical knowledge at point of care
Integrating instant access to trusted medical knowledge across specialties streamlines care by reducing search time and ensuring consistent, evidence-based decision-making.
Detect patient complications earlier
Automated patient monitoring and digital communication improve outcomes by enabling early complication detection and reducing administrative burdens across various medical conditions and large patient populations.
Predictive alerts and guidance to reduce readmissions
Reduce readmissions by up to 65% with real-time guidance, including predictive alerts and evidence-based templates, embedded in workflows across care settings.
From paperwork to discharge in minutes
Save up to 2–3 hours per clinician daily with AI-generated letters and summaries, reducing documentation burden and speeding up discharges.
Reduce admin work with AI agents
Cut operational costs with AI agents that automate scheduling, billing, insurance checks, and outreach, reducing workload and freeing staff for care.
Detect at-risk patients earlier with real-time PROMs insights
PROMs and PREMs captured in workflows provide real-time insights, enabling earlier intervention, fewer unnecessary follow-ups, and more personalised care.
Measure what works in patient care
Systematic collection of PROMs and PREMs across specialties enables clinicians to track recovery and quality of life, supporting data-driven improvements and a more outcome-focused approach to healthcare
More efficient clinical consultations
Specialty-specific applications improve consultation efficiency by consolidating patient data into a single view, reducing documentation burden and allowing clinicians to more time time with a patient.
Detect clinical risks earlier
Improved patient safety through automated clinical decision support that interprets laboratory results, infection signals, and medication risks to provide real-time alerts, reducing manual monitoring and enabling earlier intervention.
Faster identification of patients at risk of complications
Automated analysis of clinical data identifies high-risk patient profiles for complications like delirium or falls, enabling early preventive interventions that improve safety and reduce readmissions.
Turn routine data into research partnerships and funding
A secure federated research network enables hospitals to generate real-world evidence and participate in large-scale clinical collaborations using routine care data without moving or sharing sensitive patient records.
Use advanced analytics for useful insights from your clinical data
Use advanced analytics and predictive modelling to turn clinical data into insights for better clinical and operational decisions as well as reasearch and planning.
Optimise operational and financial performance with analytics
Tailored analytics tools like DRGView and OP-View provide hospital management with clear oversight of performance metrics, enabling data-driven decisions to optimise resource use and financial efficiency.
Build your own clinical forms – no coding required
Hospitals can utilise openEHR archetypes to rapidly design and adapt structured clinical forms, improving data quality and consistency while reducing manual documentation effort.
