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Life Sciences Solutions

The Largest Oncology Network in the United States
OncoLens has the ability to gather deep insights and implement educational awareness tools in a collaborative manner that are actionable to broaden precision oncology and drive greater adoption.
Head of Diagnostic Precision Medicine Marketing, Large Pharmaceutical Oncology Unit

Why Leading Life Science Companies
Choose OncoLens

OncoLens’ close relationship with cancer centers enables unprecedented collaboration in research and care team engagement with global Life Science organizations. Engagements include provider education, patient and site identification for clinical trials, diagnostics or key services, and derivation of key insights across the patient journey.
45,000+ cancer care providers count on OncoLens for next level multidisciplinary care
Today 58,646 studies / trials are running across OncoLens sites
Up to 10% of all newly diagnosed cancers are treated by providers and cancer centers in the OncoLens network
The OncoLens difference is we don’t stop at insights or analytics. We work in partnership with
our centers and providers to improve outcomes, address industry gaps, and deliver true results.

Driving Timely, Precision Cancer Care

Actionable Informatics

65 to 90%

Time saved in aggregation and preparation for accreditation and reporting

40%

Increase in referrals to matching services across your network
OncoLens advances oncology informatics through Natural Language Processing and Machine Learning, capturing metrics relevant to cancer care including time from diagnosis to treatment, clinical trial matches and more.
Aggregated patient data across EMR systems, pathology and radiology reports are converted into structured, relevant informatics to enable better decision making. Reports include but are not limited to: registry reports, patient journey and feasibility assessments, and patient id for key services.

Next Level Collaboration

OncoLens is built to realize the cancer care you envision—providers across care settings can access a comprehensive view of the patient, collaborate with peers and experts ensuring that quality of care is consistent regardless of location.

50%

Increase in physician
and care team engagement
Oncology programs can:
  • Ensure the same care pathways are discussed across all teams and locations
  • Enable education and traction toward molecular based diagnostic and treatment options
  • Engage referring providers and boost referrals to BMT, CAR-T and other services from across the catchment area and network

Data Interoperability

33%

Increase in cases treated with the support of clinical pathways and accreditation criteria
OncoLens helps combine and view data at an aggregated level as well as at a patient level, across several sources including multiple EMRs, labs and PACS systems.
Capable of extracting real time information via FHIR, HL7 and JSON integrations with EMR and Lab partners, both structured and processed unstructured information can then be used to run feasibility reports, match patients to clinical trials, key services or missing diagnostics.

Actionable Informatics

65 to 90%

Time saved in aggregation and preparation for accreditation and reporting

40%

Increase in referrals to matching services across your network
OncoLens advances oncology informatics through Natural Language Processing and Machine Learning, capturing metrics relevant to cancer care including time from diagnosis to treatment, clinical trial matches and more.
Aggregated patient data across EMR systems, pathology and radiology reports are converted into structured, relevant informatics to enable better decision making. Reports include but are not limited to: registry reports, patient journey and feasibility assessments, and patient id for key services.

Next Level Collaboration

OncoLens is built to realize the cancer care you envision—providers across care settings can access a comprehensive view of the patient, collaborate with peers and experts ensuring that quality of care is consistent regardless of location.

50%

Increase in physician
and care team engagement
Oncology programs can:
  • Ensure the same care pathways are discussed across all teams and locations
  • Enable education and traction toward molecular based diagnostic and treatment options
  • Engage referring providers and boost referrals to BMT, CAR-T and other services from across the catchment area and network

Data Interoperability

33%

Increase in cases treated with the support of clinical pathways and accreditation criteria
OncoLens helps combine and view data at an aggregated level as well as at a patient level, across several sources including multiple EMRs, labs and PACS systems.
Capable of extracting real time information via FHIR, HL7 and JSON integrations with EMR and Lab partners, both structured and processed unstructured information can then be used to run feasibility reports, match patients to clinical trials, key services or missing diagnostics.

How We Serve Life Sciences

Provider Education

  • Quality improvement programs (QIPs) form Life Science companies and Cancer Center partnerships that target creation and adherence to pathways, patient tracking, or provider education
  • Life Science companies and Cancer Centers receive education alerts that signal opportunities for:
    • Key Opinion Leader discussions, online education, molecular tumor boards and conferences
    • Analytics-based workflow improvements are identified, vetted, and implemented

Clinical Trial Patient Identification and Service Support

  • OncoLens’ proprietary AI/NLP toolset hyper-targets patient screening and matching customized to a trial’s inclusion/exclusion criteria
  • Biomarker data and hidden fields are discovered in unstructured content
  • Notifications sent to clinical teams to drive timely discussions with patients through the OncoLens and EMR workflow

Patient Journey

  • Unexpected patient journey insights and new marketing discoveries through collaboration with the largest Oncology network in the United States
  • Identification of clinical trials and improved patient experience

Collaborative Life Science Company
and Cancer Center Project Highlights

A Recent Life Science Company and Cancer Center Quality Improvement Collaboration

In a Life Science company sponsored Quality Improvement Project, OncoLens brought together an NCI center, a regional IDN, and a community cancer center to assess the current practices and insights into local barriers to testing. The project subsequently addressed these barriers resulting in the overall improvement of NGS testing and targeted therapies in solid tumors possessing a rare gene fusion.
DOWNLOAD CASE STUDY

Next Level Clinical Trial Referrals

The clinical trial matching capabilities within OncoLens are embedded directly into the native workflow. Results are presented in real-time and are based on the individual patient case. Additional dynamic sort layers help you curate a list of available trials based on your patient population, location, and preferences.
With OncoLens, the care team gains access to an advanced clinical trial matching solution that:
Delivers interactive, real-time search capability at the case level
As clinicians are discussing a case, the OncoLens system is providing the latest clinical trial opportunities based on search parameters, in real-time within the workflow.
Uses NLP to drive matching and eligibility
We make sense of structured and unstructured data so that clinical trials are prioritized based on the patient and the context embedded within the case.
Enables geo-location, dynamic sorting and the ability to limit results based on a desired distance
You can restrict and expand the clinical trials presented based on your preferences and the patient’s location.
Provides the ability to sort, pin, and exclude trials to ease search visibility
You can make sure that what is presented reflects your priorities and minimizes data noise.
Wellstar Health System
Wellstar Health System

Customer Highlight

Prominent University Medical Center Engages OncoLens
to Pre-screen for Melanoma Trial

Challenge:
Limited resources and technology to match patients for a potentially lifesaving clinical trial.
OncoLens Solution:
Results:
  • Utilizing AI, OncoLens automated the patient identification process
  • The matching process was documented, and the Clinical Trial and Care teams were trained on usage of the reports
  • OncoLens screened and identified 55 new patients in the first cohort review for Melanoma Clinical Trial

Sample Data Collected and Results

Structured Data:
  • Cancer Diagnosis
    Melanoma
  • Demographics
    age, gender, race, etc.
    Over 18, any gender
  • Weight
  • Labs
    Adequate bone marrow reserve and renal and hepatic function
  • Medications
    Corticosteroid use
Unstructured Data:
  • Staging
    Any stage
  • Performance Status (ECOG)
    ECOG 0-1
  • Disease Progression
    In progress
OncoLens screened and identified 55 new patients in the first cohort review.
Wellstar Health System
Wellstar Health System

Customer Highlight

OncoLens Solves Lagging Recruitment for Prestigious University
Medical Center for NSCLC (Non-Small Cell Lung Cancer) Study

THe Challenge:
  • The site was not recruiting as many patients to the trial as they or the sponsor had expected, given their patient population and history of successful enrollment.
  • Clinical and Data teams were not able to engage the correct patients early enough in the process to enroll.
  • Requirements around patient’s ECOG status and prior lines of treatment made the patient match process time intensive.
The Solution:
  • Utilizing AI, OncoLens automated the patient identification process and eliminated all manual time needed to extract ECOG status and staging.
  • The matching process was documented, and the Clinical Trial Team was trained
  • OncoLens screened and identified 70 new patients after the first round of cohort review.

Sample Data Collected and Results

Structured Data:
  • Cancer Diagnosis
    NSCLC
  • Demographics
    age, gender, race, etc.
    Over 18, any gender
  • Weight
  • Labs
    Adequate bone marrow, renal, and liver function
Unstructured Data:
  • Staging
    Stage 3
  • Pathology Reports
  • Performance Status (ECOG)
    ECOG 0-1
OncoLens identified 70 new patients after the first round of cohort review.
In Precision Medicine, using platforms like OncoLens in partnership with alliance stakeholders, allows for quality improvement projects to prove the impact of innovation on improved patient care, through real time data and clinical team engagement.
Director of Precision Oncology, Large Pharmaceutical

OncoLens Molecular Offering and Partnership

OncoLens Molecular delivers a clear vision and assessment of genomic data alongside the patient’s medical history, clinical trials, and research studies.

OncoLens Molecular Advances Cancer Care

Data Population

Clinical data populated into case via EMR integration or manual input

Automatic Results

Genomic results automatically populated for case presentation

Decision Support

Structured fields power clinical decision support including clinical trial matching

Review Case

Care team reviews case supported by searchable in-house and lab recommendations and pathways

Final Report

Final report developed for requesting provider

OncoLens partnered with
Caris Life Sciences to expand its Molecular offerings

Together, OncoLens and Caris Life Sciences are changing cancer care with a single platform that captures and builds a comprehensive molecular and clinical treatment database. The OncoLens and Caris Partnership include:
  • Integrated Biomarker Results
  • Targeted Treatment Recommendations
  • Expanded Molecular Expertise
  • Biomarker Testing Results, Trends and Data Analysis
Learn More 
about the OncoLens
and Caris Partnership.

See How Your Organization Can Benefit

Want to learn more about OncoLens Life Sciences solutions?
Reach out to us. See how OncoLens can drive timely, precision cancer care.