Accelerate time to insight
- Automate processes to systematically improve data quality, consistency and compliance.
- Transform disparate, heterogeneous sources into insight-rich, value-driving data.
- Increase your productivity and spend more time making decisions and delivering insights powered by the right information.
Healthcare data transformation challenges
Most healthcare data, particularly longitudinal EMR and unstructured data, is highly complex and was not collected for the purpose of research. In order to create insightful analytical output, it must first be transformed.
Key Challenges:- Multiple heterogenous data sources and formats
- Large volumes of unstructured data
- Inconsistent and large number of variables, definitions and reference ontologies
- Complex high dimensional data
- Changing regulatory requirements
- Wasting time and money working on manual and repetitive data transformation tasks that deliver little to no impact
IQVIA’s Healthcare Data Transformation Platform
Where cutting edge technology meets industry leading healthcare expertise
With IQVIA’s comprehensive data solutions and expertise you can structure, normalize, de-identify and transform your disparate data sources into analytics-ready output. Empowering your teams to concentrate on analysis, gain novel insights and deliver business value to improve drug development, population-level analysis, healthcare delivery and patient outcomes.
Our Comprehensive Data Transformation Capabilities
Data Privacy
Are you looking to leverage the increasing value of sensitive data assets without running afoul of statutory regulations or the trust of key stakeholder?
With IQVIA, you can safely de-identify and anonymize healthcare data to the highest standard, while preserving its utility. Get a statistical, evidence-based approach to data privacy protection and turn your most sensitive health information into a powerful asset.
Natural Language Processing
Are you finding it challenging to extract insights from huge amounts of disparate unstructured and semi-structured data?
The IQVIA Natural Language Processing (NLP) platform offers an exceptional combination of flexibility, scalability and data transformation power. Effectively address the challenges of analyzing textual data to support your organizational goals.
Automated OMOP conversions for analysis-ready data
Standardized data ensures you can run standard analytics. OMOP is a CDM that standardizes longitudinal patient data for observational research. But traditional OMOP data conversions rely on one-off scripts, are highly technical, slow and expensive.
画一个ins的世界tead you can automate the OMOP conversion process to get analysis-ready data, maximizing value from your data assets.
Easily identify patterns with intuitive visualisations, apply complex business rules to gain fast insights, e.g., detect patients with rare diseases, link co-morbidities and visualise with stunning graphics
Quality checked and standardized data allows you to create cohorts on EMR with up to 30 years history across countries, e.g. to detect patients with rare diseases or analyse the effects of pandemics
Benefit from our regional specific knowledge, i.e. national regulations, covering multiple languages to deliver fully integrated and normalized data sets, ready for your analytical needs
EMR curation onboards data sets across Europe. Covering the complexity within EHR data, from ambulatory EMR delivered by general practitioners to oncology EMR provided by hospitals
EMR Data Curation
Many EMR data sources are siloed and decentralized, which makes it very challenging to gain valuable insights across different data sources and countries.
The IQVIA EMR curation process manages & curates highly complex, longitudinal, clinically rich EHR data sets to help you deliver faster insights on multiple disparate data sources, spanning different countries, languages and compliance requirements.
Deliver comprehensive, systematic value from textual data across your organization
Empower your teams with rich, rapid insights from disparate data sources