Our healthcare solutions are designed to optimize patient outcomes and enhance decision-making processes by harnessing the power of data. By leveraging advanced technologies and innovative approaches, we strive to revolutionize the way healthcare is delivered. Our commitment to utilizing data-driven insights ensures that healthcare providers can make informed decisions, leading to improved patient care and overall health outcomes.
IQVIA Population Health Insights dashboard is designed to support patient organizations by providing fast and easy access to population health data. Our dashboard allows you to quickly calculate indicators and define populations based on real time data, democratizing data and providing fast insights into population health.
Our dashboard offers a range of benefits, including:
IQVIA Trial Manager supports the execution and management of clinical trials. Supporting multiple user types, and providing the tools required at every stage. The IQVIA Trial Manager provides all the capabilities needed to explore and evaluate research projects and trials, assess feasibility and costs, support patient recruitment, design study layout and case report forms (CRFs), facilitate electronic data capture, and provide the tools for patient contribution.
IQVIA Health Flow offers capacity management and predictive insights for healthcare providers. It monitors patient activity, forecasts future needs, and triggers appropriate actions to optimize capacity utilization. Developed to address variability in patient flows, it minimizes work pressure and inefficiencies.
Casemix360 offers an end-to-end infrastructure to maintain, develop and improve the patient classification and pricing infrastructure needed to support the running of the hospital sector. The system helps you facilitate a modern healthcare sector and introduce agility for both payers, providers and healthcare authorities. We especially support the intentions with economic governance of the hospitals concerning cost control, cost-effectiveness, performance and quality of treatment.
The IQVIA Nordics Patient Pathway is a structured analytical framework that combines real-world data with machine learning to support proactive and targeted healthcare interventions across general practice, hospitals, and municipal care — turning complexity into actionable insight.
Read the case story below and learn more about the solution.
The local hospital’s innovation unit initiated a project in collaboration with a large pharmaceutical company analyzing patient journeys through the healthcare sector.
The project was a mixed-methods-based analysis, using both big-data analytics and interviews with clinicians and health care professionals to gain and validate insights.
Using machine learning models based on data from numerous national registries, the project used socioeconomic data and patient treatments from hospitals and GP’s as well as their medical history to predict the risk of 1-week hospital re-admissions. The project also acted as a feasibility study for the pharmaceutical company.
A machine-learning model that can be used in clinical practice to predict re-admission and adjust care patterns.
The model suggests that socio-economic factors, treatment history as well as medical history are predictors of risk of re-admission.
Assisting healthcare systems to develop and implement effective short/long term planning strategies
IQVIA OMOP Health Data provides streaming conversion of ingested data in near-time into the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM).
IQVIA Patient Finder Solution enables healthcare organizations to bring out the full value of their data through a self-service platform, utilizing the power of machine learning to review both structured and unstructured data.
IQVIA Biobanking Solution provides the tools for compliant management of biospecimen with the philosophy of personalized medicine. This allows biobanks to be more than simple logistic management systems and service providers but rather meaningful sources of knowledge for clinical research.
Improving the patient journey and experience, whilst enabling clinical productivity.
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