Our Health Management Information System (HMIS) integrates with Artificial Intelligence (AI) by leveraging AI’s capabilities to enhance data processing, analysis, and decision-making within the HMIS framework. This integration involves embedding AI algorithms into the system to automate tasks, extract insights from large datasets, improve accuracy, and support healthcare delivery.We are currently running trials on two scenarios Clinical diagnosis support and Patient follow ups
Clinical Diagnosis Decision
- Doctors at Community health centers struggles to diagnose common conditions (e.g., non-communicable diseases such as diabetes, hypertension) due to inconsistent patient data.
- By integrating AI tools, we are able to analyze patient symptoms and vitals entered into the system, suggesting possible diagnoses or flagging urgent cases.
- We have projected that with move will increases diagnostic accuracy by 15-20% and reduces consultation time, allowing doctors to handle more patients remotely.
Patient Follow-Up and Engagement
- A community health center in Kenya with 200 registered patients loses track of follow-ups, reducing treatment adherence.
- Softcare integrates an AI-driven patient engagement tool to send personalized follow-up messages or medication reminders based on patient history. This boosts adherence rates by 30%, improving health outcomes and building a loyal patient base.