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NEXT LEVEL MULTIDISCIPLINARY
CANCER CARE

Improved Management of Metastatic Colorectal Cancer (mCRC) through Real World Data Insights and Tumor Board Embedded Physician Education
Watch this 2 minute video to see what OncoLens can do for you
OncoLens, an AI-enabled digital healthcare platform, delivers data interoperability, actionable informatics, and next level collaboration to oncology care teams, researchers and administrators.

Next Level
Multidisciplinary
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.

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

Clinical Decision Support


33%

Increase in cases treated with the support of clinical pathways and accreditation criteria
OncoLens utilizes structured and processed unstructured data from your EMR to automatically match patients to relevant evidence based guidelines, pathways, matching clinical trials, diagnostics and education to support your care teams in the planning and delivery of a treatment plan.
Combined with our collaboration and informatics tools, your extended cancer care network becomes empowered to deliver on quality improvement initiatives and market differentiation.

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.

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

Clinical Decision Support


33%

Increase in cases treated with the support of clinical pathways and accreditation criteria
OncoLens utilizes structured and processed unstructured data from your EMR to automatically match patients to relevant evidence based guidelines, pathways, matching clinical trials, diagnostics and education to support your care teams in the planning and delivery of a treatment plan.
Combined with our collaboration and informatics tools, your extended cancer care network becomes empowered to deliver on quality improvement initiatives and market differentiation.

OncoLens provides a first of its kind
multidisciplinary care platform

More than 220 cancer centers and life science companies around the world, count on OncoLens to help improve outcomes through its AI-driven patient ID solutions, collaboration and data interoperability tools

2000000

Oncology patients under care within the network

85-90%

Accuracy in AI-driven Patient ID
from unstructured data

235000

Multidisciplinary case discussions

One Platform for Next Level
Multidisciplinary Cancer Care

On a single, secure platform, OncoLens data science, informatics and advanced collaboration tools provide a first of a kind platform for targeted treatment planning and confident clinical decision making.
OncoLens is module-based to ensure oncology programs have one platform that is customized for its program and patients’ needs. Upon request, multidisciplinary oncology teams receive OncoLens consultative support to help select the right modules.

OncoLens Molecular

Store, search and research recommendations and pathways by biomarker alterations. Create your own searchable IP that can be shared across your network of affiliates.

OncoLens Integrate

Integrate patient data across EMR and lab systems.

OncoLens Collaborate

Real-time asynchronous collaboration across all care settings.

OncoLens Analyze and Patient Finder

Tap into your data to find new opportunities for revenue or report on your quality improvement initiatives and accreditation needs. Utilize OncoLens to track and identify patients missed along the treatment journey.

OncoLens Secure SSO

Increase ease of use and security with single-sign-on (SSO).

OncoLens Image Share

Share, store and review radiology images on a single digital platform across the network.

OncoLens Conference

Next level management of cancer conferences, multi-disciplinary team meetings and clinical decision making.

Ready to Learn More
About OncoLens Solutions?

Reach out to us and schedule a demo to see how OncoLens brings multidisciplinary cancer care into focus.
This system with 3,000 analytic cases increased their average referral by 40%,
realizing an extra $1.5M in net annual revenue

Improving Outcomes and Value Based Care through Real time Patient ID

OncoLens’ proprietary AI and Large Language models help cancer centers identify some of the most complex patient cases that might be a match to:
OncoLens’ proprietary AI and Large Language models help cancer centers identify some of the most complex patient cases that might be a match to:
  • Targeted therapies
  • Clinical trials
  • Genomic tests
  • Genetic tests
Supported by alerts, care teams can ensure their patients don’t miss the right treatments or tests.
In addition, OncoLens helps you understand your patient’s cancer journey with you, outlining key operational metrics like time to treatment initiation, or time from biopsy to multi-disciplinary conference helping you identify avenues for cost savings and revenue generation.

Ready to Learn More?

Want to learn more about OncoLens solutions? Reach out to us and schedule a demo. See how OncoLens can bring multidisciplinary cancer care into focus.

Frequently Asked Questions


Why is a multidisciplinary approach important to the future of cancer care?
Cancer is complicated, and so is cancer treatment. The Institute of Medicine recommends a patient-centered, team-based model of care for cancer patients. This is where multidisciplinary cancer (MDC) care comes in. The team approach brings together experts from across disciplines to discuss a patient case, define a care path, and share the latest research and treatments available. But the operationalization of an MDC care approach is challenging. Barriers to data sharing, provider communication and collaboration, and patient visibility have limited the adoption of an MDC approach despite its proven positive impact on patient lives. OncoLens is the first comprehensive cancer care platform designed around multidisciplinary care. The solution amplifies complex decisions and care planning so that the value of the MDC approach reaches from diagnosis through to survivorship.
What is a Tumor Board?
According to the American Society of Clinical Oncologists (ASCO), a Tumor Board is “a group of doctors and other health care providers with different specialties that meets regularly at the hospital to discuss cancer cases and share knowledge.” Sometimes referred to as a cancer conference, Tumor Boards serve as a structured opportunity for multiple clinicians, including pathologists, surgeons, clinical oncologists, and radiologists, to discuss a patient case. In addition to supporting multidisciplinary care goals, Tumor Boards also educate providers, serve as an opportunity to share best practices, and identify new treatment options including clinical trials.
What is a Molecular Tumor Board?
A Molecular Tumor Board (MTB) is a type of tumor board that includes discussion and review of a patient’s genomic and genetic profile. It is typically part of a precision medicine approach that combines genomic data and clinical attributes to create a personalized treatment plan. Many times, a patient referred to an MTB has a complex type of cancer or a cancer that was unresponsive to standard treatment. Understanding and actioning genetic alterations is complex and challenging. Therapies, guidelines, available clinical trials, and our understanding of how alterations contribute to cancer and responsiveness to drugs constantly changes. OncoLens helps reduce this complexity by facilitating MTBs and incorporating the latest thinking in precision medicine including benchmarks from COSMIC and other databases directly into the staging and biomarker discussion.
What is Oncology Informatics?
Informatics helps oncologists use big data to match patients to the appropriate treatments or clinical trials, or to identify gaps in care. OncoLens is a leading provider in Oncology informatics for multidisciplinary teams.
How is Cancer Registry compatibility handled?
OncoLens works with various Cancer Registry software like OncoLog and CRStar to deliver integrations via easy export and import of NAACCR reports, saving your cancer registry teams valuable time in case finding.
What does MDT stand for?
MDT stands for multidisciplinary team. MDTs help coordinate cancer care and organize experts from across disciplines to assess, plan, and manage a patient’s cancer care journey.
How does OncoLens drive standardization and efficiency across Tumor Boards?
OncoLens supports Tumor Boards by integrating data from multiple sources across the care continuum. The solution reduces the labor-intensive, manual processes that drive provider burnout and limit the number of patients discussed within the Tumor Board setting. OncoLens ensures that participating clinicians, regardless of their facility or network, have the documentation they need, converting unstructured data to structured, usable data and providing the ability to communicate and collaborate with their peers. As a result, providers who leverage OncoLens have realized an up to 44 percent increase in the number of cases reviewed at Tumor Boards and increased clinical trial accrual across disease sites.
What makes OncoLens different from Tumor Board solutions or virtual meeting platforms?
OncoLens goes beyond the Tumor Board to bring the expertise and insights documented and actioned as part of the Tumor Board through to every aspect of cancer care, including survivorship. Data is streamlined and updated as new insights are uncovered. Protocols and best practices are shared across providers, the network, and the broader oncology community. Providers have realized up to a 90% increase in multidisciplinary cancer care team efficiency and coordination. And OncoLens eliminates the artificial data and location barriers that limit engagement, lower referrals, and impact patient care. While OncoLens brings virtualization natively into the multidisciplinary cancer care workflow, that is just one part of our solution functionality. It is something that a provider can choose to use if it makes sense for the program. OncoLens isn’t about virtualization—we are about true multidisciplinary cancer care that leads to better health, greater knowledge sharing, and decision making.
Why would I use OncoLens instead of my EMR’s (Epic, Cerner, etc.) tumor board functionality?
Some EMRs are building tumor board meeting facilitation capabilities into their solutions. While these forms may help to organize and capture data, they cannot enable or facilitate multidisciplinary decision making. EMRs do not provide a longitudinal view of the cancer patient and the patient journey; and EMRs are not tied to cancer quality, leading cancer practices, and accreditation standards. EMRs are fundamentally billing systems. OncoLens integrates with EMRs to capture and make use of patient information collected within the EMR and transforms this data into inputs that support multidisciplinary cancer care, tracking of quality, adherence to care pathways.
How does OncoLens improve visibility into clinical trials and treatment options?
OncoLens helps match patients to your local and affiliated clinical trials’ inclusion and exclusion criteria giving your research team a significantly narrowed down list of patients matching to your trials. This pre-screen enables your team to focus on the most relevant patients. OncoLens also embeds automated clinical trial matching for any patient presented for multi-disciplinary discussion, ensuring that providers have visibly into the options that are a fit for a specific patient.
How does OncoLens support CME tracking and reporting for my Tumor Boards?
OncoLens simplifies the CME process by tracking attendance, auto-creating CME flyers, and producing the attendance reports required by your accrediting organizations. Reporting is multi-level so that you can see your CME progress and status at the organizational, event, and provider levels.
How does OncoLens support accreditation?
OncoLens continuously monitors accreditation standards including the Commission on Cancer (CoC), National Accreditation Program for Breast Centers (NAPBC) and National Accreditation Program for Rectal Cancer (NAPRC). The platform incorporates the quality metrics necessary in each relevant case discussion. Reports customized to the specific needs of the accrediting bodies can then be downloaded at any point of time, eliminating the workload needed to track, collate, and build reports manually. Reach out to find how OncoLens informatics solutions support other accreditation programs.
What are the OncoLens EMR integration options?
OncoLens has established scripts and data formats for the major ONC Certified EMRs, including EPIC, Cerner, OncoEMR, athenahealth, Mosaiq, ARIA and more. We eliminate many of the challenges created by EMRs and enhance the EMR experience by consolidating data, eliminating dual entry, finding and extracting critical information through natural language processing, and creating a longitudinal view of the patient that can be shared across clinical team members on multiple EMRs across multiple networks.
Does OncoLens integrate with my cancer registry software?
OncoLens delivers seamless integration into the cancer registry software to accelerate the identification and intake of new cancer cases for abstracting. Data collected by OncoLens can be imported directly at any time—immediately after each Tumor Board or Cancer Conference, at set intervals, in batches based on tumor type—based on your workflow.
What kind of security options does OncoLens provide?
OncoLens is fully HIPAA compliant, SOC2 certified and includes advanced security options such as single sign on (SSO) to drive better security, ease of use, and flexibility.
How does OncoLens support clinical trials at my facility?
OncoLens partners with clinical trial sponsors and clinical research organizations (CROs) to find trials that maybe a match for your patient base. In addition, OncoLens’ patient id is specifically tuned to help you identify patient matches and send you alerts. Our reports are based on daily updates through connectivity to your EHR.
What types of rare diseases or conditions can OncoLens help identify?
OncoLens mines unstructured and structured data including pdfs through Natural Language Processing (NLP) and OCR (Optical Character Recognition) to extract key insights including biomarkers, staging or particular keywords such as drugs or symptoms. Through specialized connections between those keywords, OncoLens can then identify if the patient might have a rare condition for which there might have even been a mis-diagnosis or coding.