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Using a Smartphone-Based Chatbot for Postoperative Care After Intravitreal Injection During the COVID-19 Pandemic:

Pei-Chang Wu¹, Wei-Yu Chiang¹, Jung Lo¹

¹Department of Ophthalmology, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan.

JMIR Formative Research

|April 20, 2024

Summary

A smartphone chatbot improved postoperative care for age-related macular degeneration patients receiving intravitreal injections (IVI). This system enabled early symptom detection and enhanced patient communication, showing high satisfaction rates.

Keywords:

COVID-19 age-related macular degeneration intravitreal injection postoperative care self-report, endophthalmitis smartphone chatbot

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Area of Science:

Ophthalmology
Digital Health
Patient Care

Background:

COVID-19 pandemic disrupted routine outpatient follow-ups, crucial for post-ocular surgery patients.
Early detection of complications after intravitreal injections (IVI) for age-related macular degeneration (AMD) is vital.

Purpose of the Study:

To evaluate a smartphone-based postoperative care chatbot system (PCCS) for real-time patient symptom reporting.
To assess the system's effectiveness in facilitating early medical intervention and patient satisfaction.

Main Methods:

Patients undergoing IVI for AMD used the PCCS for 7 days post-surgery to report ocular symptoms.
The system alerted patients to grade symptoms and allowed instant communication with medical staff.
User satisfaction was assessed via a questionnaire on postoperative day 7.

Main Results:

185 patients participated; 6.5% reported symptom deterioration, leading to earlier consultations for some.
One case of endophthalmitis was successfully treated after prompt intervention.
87% of patients reported high satisfaction, willingness to reuse, and belief in improved care quality.

Conclusions:

Smartphone-based chatbot systems can enhance postoperative care quality for AMD patients receiving IVI.
The PCCS facilitates early medical consultations and demonstrates high patient acceptance.
This technology offers a valuable tool for remote patient monitoring and improving ophthalmic care delivery.