Dr. Chevon Rariy is digitally transforming oncology care in his clinic using virtual care, artificial intelligence-powered clinical decision support, and other technologies, in part using an AI app called Marigold.
Larry is the Chief Health Officer and Senior Vice President of Digital Health at Oncology Care Partners, an oncology group practice focused on value-based care.There She is tasked with designing oncology delivery systems for both virtual and in-person care models.
Larry is board certified in internal medicine and endocrinology and is fellowship trained in clinical research at Harvard Medical School. She is a graduate of Brigham and Women's Hospital and the University of Pittsburgh Medical Center, and received her medical degree from Harvard University.
She serves on several nonprofit and private boards supporting advances in digital health, technology, and equity, and is a member of the American Telemedicine Association's advisory board.
Previously, he led clinical strategy at Amazon Care and served as Vice President of Enterprise Virtual Health at Cancer Treatment Centers of America (now City of Hope), where he led the team for digital health implementation in oncology.
Healthcare IT News We spoke to Larry about how he has designed and used virtual care models for oncology systems, where AI integration comes into play, a comprehensive strategy for digital transformation, and creating a better cancer care journey. We talked about the types of emerging technologies we are using. Oncology Care Partners treats patients.
Q. I designed a virtual care model for an oncology system. Tell us a little bit about how you designed them and how you used them in patient care.
A. Designing virtual care models for oncology systems requires a comprehensive approach that combines patient-centered care principles with cutting-edge technology. Initially, we undertook a detailed analysis of the existing situation, digging into patient progress and care gaps, treatment protocols, and provider and care team workflows.
Work closely with patients, oncologists, nurses, and technology experts to pinpoint key pain points and opportunities for innovation. This process allows Virtual care models are tailored to the unique needs of oncology patients and address challenges such as transportation barriers, symptom management, and psychosocial support.
Once the design phase is complete, we focus on seamlessly integrating and implementing these virtual care models into clinical practice. This includes rigorous testing, iteration, and collaboration to ensure efficiency, security, and ease of use.
Our virtual oncology system facilitates access to remote consultations, real-time symptom monitoring, and educational resources, allowing patients to become active participants in their care. By fostering stronger connections between patients and their healthcare teams, we aim to improve treatment adherence, improve quality of life, and ultimately achieve better clinical outcomes.
In patient care, these virtual care models serve as a lifeline for oncology patients and create the ability to access psychosocial support. Patients can easily access their care team for symptom management, participation in care planning, and timely psychosocial support to address barriers to care from the comfort of their own home.
Additionally, our virtual platform facilitates multidisciplinary collaboration among healthcare providers to ensure comprehensive and coordinated care delivery. By leveraging technology to close treatment gaps, we aim to revolutionize oncology care by making it more accessible, efficient and patient-centric.
Q. Where are you incorporating artificial intelligence in your oncology practice and how can it work to improve care?
A. AI-powered clinical decision support systems analyze patient data such as medical history, genetic information, and treatment outcomes to provide evidence-based diagnosis and treatment recommendations.
These tools help oncologists navigate complex decision-making processes by providing insight into the optimal treatment pathway tailored to individual patient profiles. By synthesizing vast amounts of clinical and genomic data, AI can identify patterns and correlations that are not obvious to human clinicians, leading to more accurate diagnosis, treatment selection, and prognosis assessment. I can.
By leveraging AI-powered personalized patient engagement tools, we are transforming the way oncology care is delivered by dynamically adjusting interventions based on patient responses. This patient-centered approach fosters greater involvement and empowerment, allowing patients to play an active role in their care.
Q. How are you leveraging your digital transformation strategy to enhance cancer care?
A. Digital transformation in oncology is not just about leveraging technology to enhance treatments. It also requires adopting human-centered design principles. Oncology practices improve efficiency, communication, patient satisfaction, and ultimately improve outcomes for individuals affected by cancer.
Digital transformation aims to streamline processes, facilitate communication, and empower the patient journey by prioritizing patient and provider needs and experiences. Additionally, digital transformation fosters patient enablement and empowerment by providing patients with greater access to information and resources.
Q. What new technologies are Oncology Care Partners using to provide better care for the cancer patients it treats, and how are they being deployed?
A. Oncology Care Partners leverages a variety of emerging technologies to deliver better care for cancer patients. Additionally, digital innovations such as telemedicine platforms and remote monitoring solutions expand the scope of oncology care and extend support beyond traditional clinical settings, ensuring patients receive continuous support throughout their wellness journey, regardless of location. It becomes possible.
telemedicine platform Enable convenient virtual visits, reduce barriers to accessing specialized care, and empower patients to be active participants in their treatment plans. Remote monitoring solutions allow patients to track their symptoms and even vital signs from home, promoting a sense of control and involvement in their care. We combine this with escalation to the multidisciplinary care team to ensure proactive and timely intervention.
Additionally, the introduction of unique electronic medical record systems, for example, gives oncologists access to comprehensive patient data, enabling more informed decision-making and seamless care coordination. Clinical decision support tools are available at the point of care.
we also use Incorporating interoperable technology capabilities and care platforms into our care delivery models improves care coordination, enhances communication between providers, and ultimately provides more personalized integration for cancer patients. We aim to provide a personalized care experience.
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Email: bsiwicki@himss.org
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