IQVIA Patient Finder Solution / Site

by IQVIA  · Based in United States → — Transforming Life Sciences with Data, Technology & Human Science
Cardiology Oncology
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Starts from £41,200 per annum for a base license, with total costs for a 3-year contract ranging from £203,600 (base offering) to £323,600 (full offering). an annual unit price of £93,200 is also cited.

Overview

The IQVIA Patient Finder Solution and Site Suite represent an integrated set of tools designed to revolutionize clinical trial operations for physicians, investigators, and research staff. These solutions leverage advanced artificial intelligence and extensive real-world data to address critical challenges in patient recruitment and site management, ultimately aiming to expedite the development of new therapies.

The IQVIA Patient Finder Solution utilizes sophisticated AI algorithms to analyze vast amounts of de-identified electronic health record (EHR) data. This capability allows research staff to rapidly identify and pre-screen eligible patients who meet specific criteria for clinical trials. By intelligently matching patients to studies, Patient Finder significantly accelerates enrollment timelines, reduces screening failures, and ensures that trials can progress more efficiently.

Complementing Patient Finder, the IQVIA Site Suite provides a comprehensive platform for investigators and site staff to manage clinical trials with greater efficiency. It offers tools for streamlining operational workflows, improving data quality, enhancing communication between sites and sponsors, and effectively managing trial logistics. This suite aims to reduce the administrative burden on site staff, allowing them to focus more on patient care and research execution.

Together, these solutions integrate IQVIA’s unparalleled data assets, cutting-edge technology, and deep human science expertise to optimize the entire clinical development lifecycle. Physicians and researchers benefit from faster decision-making, reduced operational risks, and a more agile approach to bringing life-changing therapies to patients.

IQVIA’s commitment to data privacy and security is paramount. Operating globally, the company adheres to stringent regulatory standards, including HIPAA and GDPR, ensuring that all data processing for these solutions is conducted securely and compliantly.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

  • AI-powered patient identification
  • Real-world EHR data analysis
  • Automated patient matching to trial criteria
  • Site performance monitoring and analytics
  • Streamlined clinical trial workflows
  • Digital patient engagement tools
  • Enhanced communication between sites and sponsors
  • Data quality improvement
  • Regulatory compliance support

Use Cases

  • Accelerating patient recruitment for clinical trials
  • Optimizing site selection and activation
  • Improving clinical trial operational efficiency
  • Reducing administrative burden for research staff
  • Enhancing data quality in clinical studies
  • Facilitating faster drug development

What Physicians Need to Know

Clinical Trial Matching
The IQVIA Patient Finder Solution is specifically designed to overcome complexities in patient recruitment for clinical trials. It leverages AI-driven algorithms and advanced data analytics to search structured and unstructured data within Electronic Medical Records (EMRs) and Electronic Health Records (EHRs) to identify patient cohorts that meet specific research eligibility criteria, significantly reducing screen failure rates and manual effort.
Real-World Evidence Analysis
The solution empowers healthcare organizations to realize the full value of their clinical data by analyzing entire medical records using Natural Language Processing (NLP) and machine learning. This enables the generation of real-world evidence (RWE) to inform best clinical practice, optimize patient treatment regimens, and derive insights into defined patient populations.
Genomic Data Integration
While IQVIA offers broader genomic solutions and platforms like E360u2122 Genomics for combining genomic and clinical criteria, the Patient Finder Solution primarily focuses on leveraging comprehensive EHR data. Its direct integration with genomic data is not a highlighted feature, though it operates within IQVIA's ecosystem which supports genomic research.
Literature Mining
The Patient Finder Solution utilizes enhanced Natural Language Processing (NLP) capabilities to analyze unstructured data within EMRs/EHRs, such as clinical notes and reports, making this rich information available for analytics and patient identification. While IQVIA generally applies NLP for literature mining in clinical research, Patient Finder's core application of NLP is for internal clinical data.
Safety Signal Detection
The IQVIA Patient Finder Solution's primary function is patient identification and cohort building. For safety signal detection, IQVIA offers dedicated, AI-powered solutions like 'Vigilance Detect' and 'Vigilance Signal' which leverage NLP and machine learning to identify adverse events and safety risks across diverse data sources.
Collaboration Features
The solution is designed to enhance healthcare through collaboration, enabling organizations to become part of a global network for collaborative research across multiple centers of excellence. It facilitates shared research insights through a common data model.
Physician Tip

Physicians can leverage the IQVIA Patient Finder Solution to quickly and efficiently identify patient cohorts for research studies, saving significant time compared to manual chart review. The self-service analytics platform provides direct access to harmonized data from EMRs/EHRs, enabling the derivation of meaningful insights into patient populations and supporting improved patient care and outcomes. The ability to search both structured and unstructured data, including clinical notes, ensures a comprehensive view of patient histories.

The IQVIA Patient Finder Solution is compatible with leading EHR systems and can function as a standalone tool or integrate with data extraction modules. It can also be combined with other data integration solutions, such as CentraXX, and additional NLP software for expanded analytical capabilities. The solution is deployed on-site, behind the client's firewall, ensuring patient data remains within the hospital's control and adheres to privacy-by-design principles and regulations like GDPR.

Details

Category Drug Discovery & Research, Practice Analytics & BI
Pricing Starts from £41,200 per annum for a base license, with total costs for a 3-year contract ranging from £203,600 (base offering) to £323,600 (full offering). an annual unit price of £93,200 is also cited.
  • The base offering includes license, support & maintenance, and deployment (installation without data integration)
  • The full offering is a turnkey solution that additionally includes data integration and NLP data annotation
  • Pricing is typically based on a 3-year contract
Free Trial No
DeploymentOn-premise / Private cloud. The solution is deployed on the client's site, behind their firewall, using the client's own data.
API Available Yes
Data ExportUnknown
TrainingUnknown
Target SizeHospitals, Healthcare Systems, Research Institutions
Compliance
BAA AvailableUnknown AI-estimated
HIPAA CompliantUnknown AI-estimated
FDA Status Unknown AI-estimated — unknown
GDPRUnknown AI-estimated
Integrations
EHR Iqvia States Integration With Electronic Health Records Ehrs For Data Analysis, Though Specific Ehr Systems Are Not Publicly Listed
Specialties Cardiology, Oncology

Social Proof

Customersunknown
Notable
unknown

Support & Reliability

Training ProvidedUnknown

What the Web Says

The IQVIA Patient Finder Solution is a technology-enabled platform that utilizes machine learning and natural language processing to identify patients for research studies and improve healthcare outcomes by analyzing structured and unstructured Electronic Health Record (EHR) data. Physicians and healthcare IT professionals generally view the solution positively, highlighting its efficiency in patient identification and its ability to unlock valuable insights from complex medical records. However, some general reviews about IQVIA as a company, particularly on platforms like Reddit and Indeed, indicate concerns regarding work-life balance, company culture, and hiring practices.

Overall: Mixed

Strengths

  • Faster and more efficient patient identification for research studies, saving time and manual effort.
  • Utilizes machine learning and natural language processing to analyze both structured and unstructured data in EHRs, unlocking valuable insights.
  • User-friendly interface and easy to build queries.
  • Provides accurate and detailed healthcare data for effective decision-making and market analysis.
  • Ensures data privacy and compliance with regulations like GDPR through a privacy-by-design approach.
  • Reduces screen failure rates in clinical trials by better targeting potential study patients.

Limitations

  • Some users note that data limitations can occur, particularly with government information.
  • Challenges with making calculations and using the platform offline.
  • Difficulty in finding exact data in some instances.
  • High cost of the data, though generally considered to provide good value.
  • General company reviews (not specific to Patient Finder) mention concerns about work-life balance, toxic culture, and frequent reorganizations.
  • Hiring practices have been described as lengthy, stressful, and sometimes misaligned with international employment standards.

Based on reviews from: IQVIA.com, G2.com, Reddit.com, Indeed.com, Comparably.com, SoftwareReviews.com, FeaturedCustomers.com, Elion.com, Capterra

Last updated: 2026-08-20

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Press & Coverage

IQVIA
IQVIA Patient Finder Solution Fact Sheet
The IQVIA Patient Finder Solution uses technology-enabled searches of Electronic Health Records (EHRs) for faster, more efficient patient identification in research studies. It provides daily data updates and supports AI-driven algorithms to overcome challenges in patient recruitment.
2024-02
IQVIA
Finding All the Needles in the Haystack: Technology-Enabled Patient Identification for Clinical Trials - IQVIA
This article discusses how IQVIA Patient Finder software, compatible with leading EHR systems, can be used as a standalone solution or with data extraction modules to improve patient identification for clinical trials. It highlights the use of algorithm-assisted EHR searches and natural language processing (NLP) to screen large patient pools efficiently.
unknown
GOV.UK
IQVIA Patient Finder - GOV.UK
The IQVIA Patient Finder is a privacy-by-design data solution that provides healthcare professionals direct access to clinical data for research questions. It utilizes a cached data model and extended NLP capabilities to harmonize siloed medical datasets and search structured and unstructured clinical data within EMR/EHR systems.
2022-XX
IQVIA
Boost the efficiency of patient identification for clinical and real-world research - IQVIA
This piece describes how Patient Finder leverages AI to investigate structured and unstructured data in EMRs, significantly increasing the speed of patient identification for research. It emphasizes the solution's privacy-by-design approach, ensuring compliance with regulations like GDPR.
2021-10
IQVIA
IQVIA Patient Finder Solution
The IQVIA Patient Finder Solution helps healthcare professionals save time and improve care by harnessing EMR data through AI-driven algorithms and advanced analytics. It aims to advance medical knowledge, identify patient cohorts, and collect real-world evidence for better patient outcomes.
unknown
IQVIA
Start with the Patient | IQVIA
This article discusses how AI and machine learning models are used to assign patient-level opportunity scores, connecting patients to appropriate healthcare providers and care settings. It highlights the rapid operationalization of patient finding solutions for emerging biopharma companies.
2026-06
01net
IQVIA's AI-Enabled Clinical Decision Support Tool Wins 2026 AI Breakthrough Award for Predictive Modeling Solution of the Year - 01net
IQVIA's AI-enabled Clinical Decision Support Tool, developed with Breakthrough T1D, won the 2026 AI Breakthrough Award for Predictive Modeling Solution of the Year. This tool addresses misclassification of Type 1 Diabetes in adults, leveraging IQVIA Healthcare-grade AIu00ae.
2026-08
IQVIA
Navigating Treatment Outcomes - IQVIA
This case study demonstrates how IQVIA Patient Finder Solution automates data collection from multiple hospitals, adhering to data privacy, and uses NLP to extract and pseudonymize data from EHRs. It significantly reduces the time and errors associated with manual data collection for cohort studies.
unknown

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Suggest an Edit → | Last Verified: 2026-05-21 | First Added: 2026-05-21
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