Cognitive Impact

Oncology Specialty

To help providers deliver high-quality, patient-centered care while reducing costs across the cancer care continuum, Jvion’s Cognitive Machine assesses patients across multiple clinical dimensions to deliver a complete oncology solution that enables better care.

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Oncology Deep Dive

Understanding the Oncology Care Model
Cancer is one of the most prevalent and devastating diseases in the United States. While the disease impacts individuals of all ages, the largest proportion of cancer patients are over 65 and Medicare beneficiaries.

Delivering Highest Quality Care Across the Cancer Care Continuum

By 2022, projections estimate that 18 million people will be cancer survivors and by 2023, 2.3 million people will be newly diagnosed with cancer.1 But there remain significant barriers to ensuring quality, patient-centered care for this growing population.
Amplifying the problem are key trends that, if not addressed, will exacerbate the complexity of treatment and impede the delivery of comprehensive, patient-centered, high-quality care. These include:
  • An aging population: the number of older adults is expected to double by 2030, which will increase the number of cancer survivors by 30%
  • A shrinking pool of cancer professionals: workforce shortages are growing, and training programs cannot scale to meet new demand
  • The rising cost of cancer care: costs are expected to increase at a greater rate than any other segment within medicine; by 2020, costs are expected to jump by 39% to $173 billion
  • The volume of information: with advances in cancer treatment and our understanding of cancer, the volume of knowledge that a clinician must master is overwhelming
  • Underutilized technology: the methods and tools that are available—clinical guidelines, methods, IT resources—are not widely adopted 1
To address these challenges and meet the goal of delivering the highest quality care that is affordable and accessible, a cross-disciplinary team identified the key drivers that will help transform cancer care today while preparing for future demands. These include:
  • Comprehensive and coordinated cancer care: that ensures engagement, access, care planning and coordination, and a team-based approach to treatment
  • Continuous, data-driven improvement: that drives quality improvements based on measured performance and the integration of clinical expertise, patient values, and the latest research
  • The strategic use of revenues: that ensures that payments are used to enhance services and care quality, a sharing of revenues across stakeholders, and non-monetary incentives to drive change
  • Innovative payment structures: that reward providers for enhanced services and performance against established benchmarks 2
To help providers deliver high-quality, patient-centered care while reducing costs across the cancer care continuum, Jvion’s Cognitive Machine is assessing patients across multiple clinical dimensions to deliver a complete oncology solution that enables better care. The machine delivers patient-level risk propensities, clinical and non-clinical drivers, and recommended clinical actions across the following vectors:
Providers use Jvion’s Oncology Bundle to meet the needs of cancer patients and their families. The machine provides the actionable and effective insights clinicians need to ensure that patients are active participants in their cancer care; that care is coordinated and comprehensive; that end-of-life decisions and plans respect the values and desires of the patient and his/her family; and that we continue to drive to a system of quality, affordable cancer care for all patients in all care settings.

[1] Institute of Medicine, "Delivering High-Quality Cancer Care: Charting a New Course for a System in Crisis," The National Academies Press, Washington, DC, 2013.

[2] Booze Allen Hamilton, "Oncology Care Model: Key Drivers & Change Package," Center for Medicare & Medicaid Services, Washington, DC, 2017.

 
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