TalkCRM AI - 지능형 케어 커뮤니케이션 플랫폼

Background Problem: Modern hospitals face language barriers and staff shortages in patient consultation and appointment scheduling. The increasing number of international patients and the demand for 24/7 services are particularly exacerbating the burden of consultation tasks.

Limitations of Existing Methods: Currently, staff handle consultations and appointments individually via phone or messenger, leading to inefficiencies and delays due to repetitive tasks. Additionally, a lack of multilingual support staff creates difficulties in communicating with foreign patients.

TalkCRM AI combines conversational AI with hospital CRM to enable automated consultations and multilingual communication. Equipped with a Retrieval-Augmented Generation (RAG) engine for searching and generating medical knowledge, it unifies patient inquiry response, appointment scheduling, marketing, and aftercare by supporting seven omni-channel interfaces, including web, chat, and mobile.

Compared to existing CRMs, it significantly reduces the burden on staff and improves patient response speed with 24-hour availability and a high level of automation.

Hospital and clinic management (B2B). The actual payers are hospitals, with medical institutions seeking to streamline customer center operations and improve service quality being the primary adopters.

It can be applied to global hospitals without being limited to specific countries or regulations. However, medical data security and regulatory compliance are essential. Sungmin Network is preparing a HIPAA-compliant security system in the US and is promoting entry into the US market by strengthening multilingual support.

Although specialized in the medical field, the call center automation technology itself has the potential to expand into CRM for other service industries in the future.

It has been recognized for its technology through the CES Innovation Award and has been evaluated as proving the global competitiveness of "K-Medical CRM." The product's completeness is high enough to allow for real-time demos based on actual medical institution scenarios.

However, in the global market, medical CRM still lacks market validation due to its connection with hospital electronic health record (EHR) systems and conservative industry practices. Although there are plans to enter North America and Europe, they are in the early stages, so actual commercialization results remain to be seen.