Bangkok Hospital, one of Thailand's largest private healthcare institutions, has eliminated paper and manual processes for registering and managing patient flow at its headquarters.
The AI technology provided by its partner, local startup Agnos Health, currently underpins the company's patient registration and management system.
How to use
As part of an enhanced patient flow system, the tertiary care institution deployed multiple AI-powered self-service kiosks to consolidate various registration steps.
The system features AI facial recognition to identify and verify patient identity, an AI symptom checker to initially screen patient medical history and refer them to the appropriate department or clinic, and robotic process automation for automatic insurance verification. We obtain electronic consent for the collection of your personal data and issue electronic visit tickets to track your service status.
Meanwhile, Bangkok Hospital's screening department, the Health Design Centre (HDC), has also moved from manual allocation of patient queues to a digital system.
Nurses can monitor and manage patient queues, which are communicated to patients through mobile channels and department TV screens. The system is equipped with AI to track service status and recommend repurposing rooms to reduce traffic in certain areas.
HDC can now send patients an e-form to fill out before they even visit the hospital, and AI will assess their health risks and provide appropriate advice. Inspection package.
The department’s AI copilot will handle patients’ test lists, wait times, appointments and clinical priorities to recommend the optimal test order.
Why it matters
Since enhancing its registration system with AI, Bangkok Hospital has reduced front-end and back-end steps, including taking patients' medical history. Waiting times have also improved as registration steps have been reduced by 45% compared to the previous system.
The hospital claims Patient queues in the screening department are now evenly distributed. HDC manages 200-300 patients daily, each with different test packages, procedures and times. With AI, staff spend less time informing patients about wait times, next steps and answering frequently asked questions. Wait times have been cut in half compared to the previous manual system.
Larger trends
Thailand's private hospital operators have been increasing their investment and adoption of data and digital technologies in recent years as part of their digital transformation efforts.
Srisawan Hospitala private tertiary care hospital in Nakhon Sawan, a city north of Bangkok, recently enlisted the help of GE Healthcare and InterSystems to digitize its asset and workforce resource management and implement an integrated HIS at its Bangkok branch.
To demonstrate maturity in the use of EMR technology, Principle Hospital Suvarnabhumi, part of the private Principle Healthcare Group, has been rated at Stage 7 of the HIMSS Electronic Medical Records Implementation Model. The hospital is currently the only hospital in Thailand to achieve this highest level of accreditation earlier this year.
