Emerging Technology
The Dengue Knowledge Base chatbot is a conversational AI (CAI) proof-of-concept I designed and trained to serve as an intelligent interface using machine learning and natural language processing (NLP) to understand text or voice prompts from patients, healthcare professionals (HCPs), and internal staffs seeking information about dengue. The chatbot can be integrated with the existing digital channels within the Takeda Vaccine Business Unit's digital ecosystem such as Dengue Resource Catalog, Dengue Academy, and Scientific Communication Platforms (SCPs) to provide instant, accurate responses to user prompts and queries about the following topics:
To try the prototype, please click on the bubble on the lower right corner of your browser.
Key Challenges:
Knowledge Standardization
With multiple data sources and repositories around, resulting to inconsistent information across sources in addition to varying terminologies used in different levels of details for various document types.
Access to Information
Information fragmentation and dispersed knowledge across multiple data sources and repositories resulting to inconsistent access to approved materials, clinical guidelines, and market-specific protocols.
Time-Critical Access
Time-consuming manual searches through various data sources and platforms resulting to delayed access to critical and reliable information..
Resource Utilization
Part of the operational challenges is the high demand for “go-to” application or digital solution for medical affairs team for repetitive query handling of medical information questions, objection handling, and information distribution.
Data Integration
there is a huge volume of information requiring to be merged and combined from multiple sources to ensure data consistency and accuracy of information.
Key Benefits:
The Dengue Knowledge Hub CAIcchatbot can deliver significant value by transforming how patients, healthcare professionals (HCPs), and internal teams access dengue-related information by providing 24/7 access. This will dramatically reduce the time spend searching through databases and other platforms for the required documentation and information. Internal teams will have streamlined access to evidence-based resources, current clinical guidelines, and latest research developments, enabling more informed decision-making during patient care and treatment protocols. The chatbot's ability to be fully integrated with existing platforms within the digital ecosystem of Takeda can create an improved user experience.
From an operational perspective, the proposed digital solution can significantly reduce the burden on cross-functional teams by automating responses to common queries, leading to substantial cost savings and improved resource allocation. The delivery of accurate, compliant information enhances the quality of healthcare delivery, while the system's scalability ensures it can grow alongside expanding information needs.