A small team's innovative approach to cancer care has made a big impact, and it's all thanks to automation. This story is about how a simple yet ambitious idea has the potential to revolutionize the way we support cancer patients.
For those living with cancer, managing symptoms like pain, anxiety, and insomnia is a daily battle. These symptoms can quickly escalate, leading to emergency room visits, which are not only financially draining but also emotionally exhausting for patients and their caregivers.
But here's where it gets controversial: what if we could prevent these emergency situations and provide better care for patients without adding to the already heavy workload of oncology teams?
Enter the Enhanced EHR-Facilitated Cancer Symptom Control Trial (E2C2), a groundbreaking study led by researchers at Mayo Clinic.
Dr. Andrea Cheville, a professor of Physical Medicine and Rehabilitation, explains the goal: "We wanted to see if automating symptom check-ins and care could improve patients' lives without overwhelming oncology teams."
And the results are nothing short of remarkable.
Take Becky Johnson, for example. Diagnosed with double breast cancer at 40, she found herself struggling with anxiety and insomnia. The steroid medications she was taking made it even harder to sleep.
As part of the E2C2 trial, Johnson completed digital surveys about her health. Her insomnia quickly caught the attention of a nurse, who reached out to offer support and guidance. The nurse provided Johnson with a link to an online class based on cognitive behavioral therapy, which helped her improve her sleep.
"A virtual or phone call visit was so convenient and efficient," Johnson says.
This is where the power of automation comes in. The researchers developed a system within the Plummer Chart, a software that manages patient electronic health records (EHRs). This system automatically sorted patient responses to surveys, triggering different actions based on the severity of their symptoms.
Mild scores were logged, moderate scores triggered self-care tips, and severe scores prompted a call from a remote symptom care manager - a nurse or social worker who could provide support remotely.
The software acted as both a traffic controller and a safety net, ensuring that patients received the care they needed without adding to the workload of the care team.
The trial results speak for themselves:
- Patients reported reduced anxiety and depression, with improvements in other symptoms.
- There was a 40% to 60% decrease in acute care encounters, including emergency visits, hospitalizations, and ICU admissions.
- All this was achieved with just a few full-time care managers supporting over 50,000 study participants.
Dr. Cheville sums it up: "The gains we saw are encouraging and point to a scalable way to extend supportive oncology care beyond the clinic walls, meeting patients where they are."
And this is the part most people miss: technology, when used effectively, can enhance and extend the reach of healthcare, providing better care for more people.
So, what do you think? Is this a step towards a more efficient and patient-centric healthcare system? Or are there potential pitfalls we should consider? We'd love to hear your thoughts in the comments!
