Products

OncoLens
OncoLens
Drug Discovery & Research
OncoLens is an AI-enabled digital healthcare platform that optimizes multidisciplinary cancer care, clinical trial matching, and tumor board workflows by leveraging structured and unstructured clinical data for timely and precise cancer treatment.

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About OncoLens

OncoLens is a healthcare AI company that offers a HIPAA-compliant mobile and web-based platform designed to optimize cancer treatment planning and support confident clinical decision-making. The platform integrates diverse data sets, oncology care teams, and other stakeholders into a unified environment. This integration facilitates multidisciplinary treatment planning, supports life-science commercial and clinical initiatives, and streamlines payer authorizations. For physicians, OncoLens enables the establishment of virtual tumor boards, allowing care providers to discuss and develop comprehensive treatment plans for cancer patients in real-time. The platform also supports case discussions among colleagues even outside of formal tumor board settings.

The company’s AI-enabled clinical and workflow solutions are built upon three foundational pillars: multidisciplinary collaboration, data interoperability, and AI-driven informatics. OncoLens utilizes proprietary AI/NLP (Natural Language Processing) to analyze both structured and unstructured data from Electronic Medical Records (EMR) and laboratory results. This analysis extracts crucial insights to identify patients who may have missed critical diagnostic or therapeutic options, or who are eligible for clinical trials. This capability helps ensure that no patient is overlooked for potentially life-saving interventions. Additionally, the platform streamlines administrative tasks, automates data collection, and provides real-time clinical decision support, including evidence-based protocols and trial opportunities. OncoLens currently serves over 225 cancer centers across the U.S. and internationally, with a mission to deliver timely and precise cancer care.

Focus Areas

Multidisciplinary cancer care virtual tumor boards AI-driven patient identification clinical trial matching data interoperability AI-driven informatics real-world evidence (RWE) quality improvement precision oncology workflow automation clinical decision support oncology analytics

Business Intelligence

Key InvestorsBIP Capital, Cross Border Impact Ventures, Martin Ventures, SeedToB Capital, Atlanta Technology Angels, The Robbins Fund
PartnershipsSarcoma Alliance for Research Through Collaboration (SARC), The Jackson Laboratory (JAX), Caris Labs
TechnologyAI-enabled digital healthcare platform, AI, Natural Language Processing (NLP), Large Language Models (LLMs), cloud-native (SaaS), data interoperability, AI-driven informatics
FDA Clearances1 cleared products (estimated)

What Physicians Need to Know

Multidisciplinary Care Coordination & Tumor Boards
OncoLens offers a comprehensive platform for virtual tumor boards (OncoLens Conference) and collaboration (OncoLens Collaborate). It automates case intake, pathology and radiology data collection, and accreditation reporting, significantly reducing preparation time. The platform supports both real-time and asynchronous multidisciplinary discussions, enabling seamless collaboration within and across oncology programs and with external institutions.
AI-Powered Patient Identification & Clinical Trials
Leveraging AI, Natural Language Processing (NLP), and Large Language Models (LLMs), OncoLens Patient ID screens structured and unstructured EMR data to identify patients eligible for clinical trials, targeted therapies, CAR-T, and rare disease treatments. This capability accelerates patient accrual and provides real-time alerts to care teams, ensuring no patient misses out on potentially life-saving options.
Clinical Decision Support & Precision Oncology
The platform delivers evidence-based protocols, clinical trial opportunities, and customized pathways directly within the workflow. For molecular tumor boards, OncoLens integrates genomic data from NGS reports, assisting in clearer visualization and assessment to support precision medicine and personalized treatment recommendations.
Data Analytics & Real-World Evidence (RWE)
OncoLens Analytics provides real-time executive dashboards, automated registry reports, and patient journey reports. It offers actionable insights into cancer care operations by tracking metrics such as tumor board volume, biomarker testing rates, clinical trial enrollment, and guideline adherence, supporting quality improvement initiatives and RWE generation.
Accreditation & Quality Improvement
OncoLens streamlines administrative tasks and reporting required for accreditations like Commission on Cancer (CoC), National Accreditation Program for Breast Centers (NAPBC), and National Accreditation Program for Rectal Cancer (NAPRC). It helps programs track quality measures, identify gaps in care delivery, and align clinical workflows with evidence-based guidelines to support value-based care outcomes.
Physician Tip

For physicians, OncoLens stands out by significantly streamlining workflows, automating administrative burdens, and reducing preparation time for tumor boards by up to 90%. The platform provides real-time, evidence-based clinical decision support, including automatic identification of clinical trial matches and personalized treatment pathways. Its AI-driven patient identification ensures that critical opportunities for advanced therapies or missed testing are flagged, directly improving patient outcomes. The ability to access and collaborate on comprehensive patient data, including genomic and imaging information, from a single, HIPAA-compliant platform, even via smartphone, enhances efficiency and fosters better multidisciplinary care coordination. This leads to more accurate decisions and consistent, high-quality treatment.

OncoLens is designed for seamless integration into existing clinical workflows. It aggregates structured and unstructured data from various sources, including Electronic Medical Records (EMRs), lab systems, and pathology systems. The platform is FHIR compatible and integrates with cancer registries like OncoLog and CRStar. It also supports Secure Single Sign-On (SSO) capabilities, enhancing security and streamlining clinician access across systems.

Products by OncoLens

1 product in the directory

OncoLens
OncoLens
Drug Discovery & Research
OncoLens is an AI-enabled digital healthcare platform that optimizes multidisciplinary cancer care, clinical trial matching, and tumor board workflows by leveraging structured and unstructured clinical data for timely and precise cancer treatment.

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Press & Coverage

OncoLens
Oncology Health Tech Startup Announces Series B Funding Round for Continued Growth of Cancer Treatment Platform and Research Network
OncoLens announced a $16 million Series B funding round co-led by BIP Capital and Cross Border Impact Ventures to expand its AI-driven oncology care platform and research network. The funding will support the company's mission to deliver timely, precision cancer care and enhance multidisciplinary collaboration.
2024-10
Signalbase
OncoLens Secures $16M in Series B Funding for AI-Driven Oncology Care Platform
OncoLens successfully secured $16 million in Series B funding to expand its AI-driven oncology care platform, focusing on enhanced multidisciplinary collaboration, comprehensive analytics, and advanced clinical decision support tools. This investment highlights the growing recognition of OncoLens' commitment to revolutionizing cancer care.
2024-10
OncoLens
OncoLens Announces Real-Time Oncology Patient Identification for Clinical Trials and Key Services
OncoLens launched OncoLens Analytics and advanced Patient ID solutions, enabling healthcare providers to identify cancer patients in real-time for clinical trials and essential services. These solutions integrate data from various sources to provide timely alerts and reports, improving precision care.
2024-09
OncoLens
OncoLens Analytics Enables a 350% Increase in Genetic Testing at Community Cancer Center
A case study by OncoLens demonstrates how OncoLens Analytics, by integrating AI and advanced NLP technology, enabled a rural community cancer center to achieve a 350% increase in genetic testing for breast cancer patients. This highlights the critical role of timely genetic testing in precision cancer care.
2025-03
OncoLens
A New Era in Trial Matching: How a Wisconsin-Based IDN Uses Real-Time Oncology Data to Drive Enrollment
This case study illustrates how a Wisconsin-based Integrated Delivery Network (IDN) utilized OncoLens' Clinical Trial Patient ID Report to identify over 30 additional eligible patients for a prostate cancer trial within 10 weeks, transforming their recruitment strategy. The report helped them enroll their first patient within a week.
2025-09
OncoLens
Oncology-Focused AI/LLM To Find the Right Patients for Your Clinical Trials
OncoLens leverages specialized AI, Natural Language Processing, and Large Language Models to revolutionize patient pre-screening for oncology clinical trials. This approach mines structured and unstructured data to identify complex medical nuances, leading to significant efficiency gains and improved patient accrual.
2025-03
OncoLens
OncoLens Empowers Molecular Tumor Boards
OncoLens' tumor board solutions enhance the efficiency and accessibility of Molecular Tumor Boards by integrating biomarker data and facilitating discussions among multidisciplinary teams. The new Molecular Recommendation Builder helps standardize these boards and create a database of targeted therapies.
2023-01
OncoLens
OncoLens Welcomes Cross-Border Impact Ventures Fund as Capital Partner to Fuel International Growth
OncoLens announced that Cross-Border Impact Ventures has joined as a capital investment partner to fuel its international growth. This partnership aims to expand OncoLens' global footprint, particularly in rural communities and low-to-middle-income countries, to enhance access to cutting-edge oncology solutions.
2023-07

Frequently Asked Questions

OncoLens provides several AI-powered solutions, including AI-Powered Patient Identification (Patient ID) for real-time screening of EHR data to match patients with clinical trials and advanced therapies. It also offers Virtual Tumor Board (OncoLens Conference) for automated case preparation and multidisciplinary collaboration, and Data Analytics & RWE for actionable insights from clinical data.
OncoLens prioritizes security and is fully HIPAA compliant and SOC2 certified. The platform incorporates advanced security features like single sign-on (SSO) and strong encryption for virtual tumor board sessions. It also supports accreditation reporting for bodies such as CoC, NAPBC, and NAPRC.
OncoLens utilizes an enterprise pricing model that is not publicly disclosed. The cost is customized based on the specific needs of each institution, such as a cancer center or integrated delivery network. Interested organizations should contact OncoLens sales directly for a personalized quote.
OncoLens offers dedicated customer support via email and provides a 'high-touch, white glove service' for customized solution delivery. Implementation is typically quick, ranging from 1 to 4 weeks, and includes training.
OncoLens partners with over 220 cancer centers and 50% of top 20 pharma companies, facilitating clinical trial collaboration and real-world evidence initiatives. Notable partnerships include the Sarcoma Alliance for Research Through Collaboration (SARC) for virtual tumor boards and The Jackson Laboratory (JAX) to expand molecular tumor boards.
Founded in 2015, OncoLens has demonstrated stability, having raised a total of $27.1 million in funding over four rounds. Their latest funding was a $16 million Series B round in October 2024, co-led by BIP Capital and Cross Border Impact Ventures. The company was also recognized on the Inc. 5000 list of fastest-growing private companies in 2024.
OncoLens's proprietary AI/NLP technology integrates deeply with major EMR systems like Epic and Cerner, as well as cancer registries, using standards like FHIR, HL7, and JSON. This allows it to extract and standardize data from both structured and unstructured sources, such as clinical notes and PDFs, to automate workflows like patient identification and tumor board preparation.

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