ACCC AMCCBS - Association of Cancer Care Centers Annual Meeting & Cancer Center Business Summit

Mila Felder, MD, FACEP, discusses Advocate Aurora Health’s approach to addressing burnout among health care professionals in health care systems.

The CORe initiative is aimed at promoting inclusivity, reducing startup time for clinical trials, and facilitating data sharing to address recruitment and retention challenges in cancer research at community oncology sites.

The organization championed equitable access to care, workforce support, and advanced clinical research.

Although regulation takes time, real safety concerns for patients in the rapid development of AI technology in health care are present today.

Although cancer death rates have decreased in the United States overall, they continue to rise in rural Appalachia, engendering a malaise of fatalism in the region.

Will Shapiro, vice president of Data Science at Flatiron Health, provides context into the terminology and history of these models.

The ACCC 50th Annual Meeting & Cancer Center Business Summit is taking place in Washington, DC from February 28 to March 1.

Choosing the best biosimilar based on reimbursement can be challenging.

Pharmacists are the best resource at cancer center practices to ensure patients with cancer do not need to make the choice to stop or delay therapy due to financial reasons.

CRISPR technology has also been successful in treating a pediatric patient with T-cell acute lymphoblastic leukemia, showing feasibility of its use for cancer immunotherapy.

Pharmacy departments can be one of the most expensive departments in a cancer center practice, but the revenue generated for its services typically far outpaces associated costs.

Cancer Moonshot Initiative launched efforts to investigate how to better support patients with cancer by providing support in the navigation of the diagnosis, treatment, and survival of cancer.

AI-enabled algorithms can also augment clinical decision making for health care professionals using real-time data analysis and decision support to treat patients more efficiently and accurately.

Through automated tools related to scheduling, prior authorization, and radiation planning tasks, there are efforts to shorten the time from diagnosis to treatment to improve patient outcomes.

Deep learning AI models like ChatGPT health care edition, coupled with applications targeting pain points in practice workflow, present a very exciting vision for the future.