In the first article, we explored how process automation and machine learning can transform oncology. Looking at the effects of agent AI and generated AI, the transformation is exponentially accelerated.
In the case of postoperative care, this transformation involves more than a chatbot involved with the patient, collecting data and sending it to the care team. There are currently agents who create personalized experiences. It mimics the surgeon's communication style and interacts with patients through deep conversations that utilize memory and context, as well as a series of one-off responses. The agent said, “What is your temperature? How much has it been raised? Are you feeling uncomfortable? Have you taken medication? Did you help with symptoms?”
The chatbot not only relays the patient's response, but also returns to the surgeon to analyze that information to the facts base, advise the patient's symptoms, suggest potential causes, and recommend alternative treatments. AI agents present facts to inform the surgeon's thoughts, but it is the human who ultimately makes decisions about treatment.
Once the doctor decides on the plan, the agent takes action. They may contact the pharmacy to supply the medication to patients within the next few hours. Agents may also work with the Triage Nurse to schedule follow-up appointments, contact patients to provide updates, and coordinate ongoing care.
Clearly, the experience of oncology is fundamentally changing. Given the lack of talent in the healthcare sector, these agents are breakthroughs. They allow doctors and nurses to offload time-consuming tasks in large quantities, ensuring both personal and effective patient care.
