KlinikKu+ : Orchestrating Seamless Healthcare Services
Team consisting of SLB data engineers Zahid Hamidi (Data/Infrastructure; ML, unstructured-data pipelines, Power Automate) and Chun Hanssen (GBS Digital Data Engineer; GenAI, Python).
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Project Description
KlinikKu+ : Orchestrating Seamless Healthcare Services
Target Users: General Practitioner (GP) doctors in Kementerian Kesihatan Malaysia (KKM)
The Problem
Public health doctors are stretched thin. Every day, they juggle endless paperwork, re-enter the same data into multiple systems, and try to piece together patient information from scattered sources—past medical histories, lab reports, handwritten notes, real-time vitals. This isn’t just frustrating—it steals time away from patient care and piles on mental strain, leading to burnout.
Our Mission
We want to give doctors superpowers. KlinikKu+ reimagines their daily workflow—automating repetitive admin work, pulling together complex data into one clear picture, and surfacing insights in seconds. The goal is simple: reduce the mental load so they can focus on the patient, not the paperwork.
What KlinikKu+ Does
- Patient History Summarizer – Quickly condenses years of records into a short, relevant brief for the day’s consult.
- AskMe Bot – A friendly AI assistant for quick answers to medical or administrative questions.
- Prescription Recommendation Aid – Suggests treatment options based on the case (with a human-in-the-loop so the doctor always makes the final call).
How It Works in Practice
- The GP logs into KlinikKu+.
- Picks the patient for today → sees a clean, AI-generated summary of their medical history and latest results.
- If they need a quick check—say, dosage guidance or policy updates—they just ask the AskMe Bot.
- The system shows recommended prescription options → the GP reviews and approves (or changes) them.
- Notes and recommendations are then pushed into KKM’s records system.
- Post appointment - patients will also be getting appointment summary of the day so both patients and doctors are well-communicated
Why It Matters
- Cuts history review time from 10–15 minutes down to under 1 minute for 1 patient. Imagine per day a GP can have around 15-20 appointments hence it saves approximately 5 hours a day.
- Gives doctors more headspace and time to focus on patients.
- Improves confidence in decision-making with real-time, data-backed insights.
- Reduces burnout risk by taking away low-value, high-frustration tasks.
What Makes It Different
- It’s built for Malaysian public healthcare—lessen as much administrative works and let clinicians focus more on more added value tasks which is - patient care.
- Combines AI summarization with human oversight for safe, reliable care.
- Integrates multiple data sources into one seamless interface.
Under the Hood
Frontend: Vite + Vercel for a fast, responsive experience.
Backend: Groq LLM API for ultra-low-latency AI responses.
Model: LLaMA 3.3 70B tuned for summarization and medical Q&A.
Prototype: Built using Lovable for rapid iteration.
Cloud: Deployed on Vercel for scalability.