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:
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:
To help providers deliver high-quality, patient-centered care while reducing costs across the cancer care continuum, the Jvion Machine is assessing patients across multiple clinical dimensions to deliver a complete oncology solution that enables better care. The solution 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.
Impact Topics
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Jvion's machine delivers patient-level risk propensities, clinical and non-clinical drivers, and recommended clinical actions.
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