pLOG

2024-09-13

AI-Powered Phone Reminder Service for Elderly Care

 

Imagine a scenario...
An elderly man visits the clinic and returns home with a three-month chronic prescription, requiring him to go back to the clinic once a month to collect his medication, but he always forgets. An elderly woman visits the hospital, but only partially understands the doctor’s medication instructions and fails to communicate this to the doctor or nurses. She also frequently forgets to return for her quarterly osteoporosis injections or vaccines.
Meanwhile, a nurse might have to assist in consultations and handle a large volume of administrative tasks. Who follows up on the patient's treatment status?
As Taiwan’s healthcare environment evolves, patients are increasingly demanding higher-quality care services. Assisting healthcare institutions in quantifying medical tracking has become a pain point that addresses the shortage of clinical manpower. Voice-based AI has become the solution for patient management in call centers, ensuring that the patient's treatment journey is fully monitored.
A major advantage of AI is its ability to schedule and handle targeted tasks, such as regular follow-up appointments and medication adherence. Unlike traditional voicemail systems, AI, using chatbot technology, can proactively call patients for medication reminders and inquiries, turning passive actions into active engagement, thus improving patient compliance and satisfaction. Furthermore, AI can perform large-scale real-time data analysis, enabling managers to quickly grasp patient response statuses. This transforms tasks that previously required significant human effort into more efficient operations, preventing compliance issues.
In the field of long-term health care and elderly home care phone services, voice-based interactions can also achieve better care and health survey results. For instance, PatientsForce’s SeaHealth AI medical call system can dial a large list of elderly patients, using AI conversations to ask whether they are willing to participate in cancer screening services at health centers. This approach significantly reduces the manpower required in medical clinics, while lists with poor contact results can be handled by human customer service for follow-up.
AI assistants will replace traditional voicemail services, going a step further by providing basic real-time response services. They can assist as customer service aides, log necessary messages, and assess their importance. Then, they remind healthcare management staff to prioritize tasks or forward the issue to live customer service for immediate handling. This achieves 24/7 customer service at a lower cost and broader scale. Through continuous training in the AI knowledge base and learning in interactive databases, the role of AI in medical customer service will become increasingly important.

 

─ PatientsForce Senior Product Manager, Hanson Lin