Multi-agent Systems and Cancer Pain Management

Abstract

Purpose: The present investigation explores multi-agent systems, their function in cancer pain management, and how they might enhance patient care. Since cancer is a complex disease, technology can help doctors and patients coordinate care and communicate effectively. Even when a patient has a dedicated team, treatment may be fragmented. Multi-agent systems (MAS) are one component of technology that is making progress for cancer patients. Wireless sensory networks (WSN) and body area sensory networks (BASN) are examples of MAS.

Recent findings: Technology is advancing the care of patients, not only in everyday clinical practice, but also in creating accessible communication between patients and provider. Many hospitals have utilized electronic medical records (EHR), but recent advancements allowed the pre-existing infrastructure to network with personal devices creating a more congruent form of communications. Better communication can better organize pain management, leading to better clinical outcomes for patients, integrating body sensors, such as smart watch, or using self-reporting apps. Certain software applications are also used to help providers in early detections of some cancers, having accurate results. The integration of technology in the field of cancer management helps create an organized structure for cancer patients trying to understand/manage their complex diagnosis. The systems for the various healthcare entities can receive and access frequently updated information that can better provide better coverage of the patient's pain and still be within the legalities as it pertains to opioid medications. The systems include the EHR communicating with the information provided by the patient's cellular devices and then communicating with the healthcare team to determine the next step in management. This all happens automatically with much physical input from the patient decreasing the amount of effort from the patient and hopefully decreasing the number of patients' loss to follow-up.

Keywords: Body area sensory network; Cancer pain; Cancer pain management; Multi-agent systems; Wireless sensory networks.