Case Studies
Explore how FISClouds empowers leading healthcare, life sciences, and enterprise clients through real-world cloud, data, and AI transformations—driving innovation, compliance, and measurable outcomes.
AI Vision for Hospital Rate Book
Client: Medical Insurance Company
Challenge
In the current healthcare ecosystem, managing and processing large amounts of data from various sources is crucial for operational efficiency and decision-making. The company, as a leading healthcare service provider, handles a significant volume of data, especially from tariff books and meeting minutes that contain important financial and operational information. Traditionally, this data has been extracted and processed manually, which is time-consuming, prone to errors, and less efficient.
Outcome
By integrating AI technology—specifically AI Vision or Vision Language Model (VLM)—The company can automate the data extraction process from these documents. This technology leverages advanced image and text recognition to extract, structure, and analyze information with high accuracy, thereby accelerating processes, reducing errors, and improving overall efficiency.
AI Lab Assistant
Client: Lab and Farmacy Company
Challenge
The company has long been a leader in the pharmaceutical industry in Indonesia. In line with the company’s commitment to improve customer service and continuously innovate, The company has identified opportunities to improve and modernize customer services through the application of the latest technology.
Outcome
By using AI technology, AI Lab Assistant helps improve efficiency and accuracy in medical diagnostic services, assists medical personnel in decision-making, and can provide valuable support in patient care.
AI Data Analytics
Client: Hospital Company
Challenge
The company is a leading hospital chain in Indonesia. facing enormous data can be daunting and hard to extract and analyze. So the company wanted to empower big data with AI data analytics to transform the company’s capability in understanding the diagnosis, patient statistics, and effective hospital operations.
Outcome
The requirements are divided into 3 groups. First is the AI Capability to be expected, the source of data the AI should be able to retrieve and analyze and lastly the interface where user and other system can communicate with the AI system. with the help of AI, user can interact and display data with visualizations in tables and graphs.