AI-POWERED MEDICATION CALLING SYSTEM

AI Medication Reminder System

Technology Stack

Tech Stack
Tech Stack
Tech Stack
Tech Stack
Tech Stack
Tech Stack

About The Client

Our client is a well-established hospital based in the Netherlands, operating extensively in the home healthcare and elder care sector. The hospital primarily supports patients who are prone to missing their medication—whether due to chronic illnesses, age-related cognitive decline, or general forgetfulness. With a focus on long-term patient wellness, the client delivers personalized care and medication support services across a broad network of care facilities, nursing staff, and partner institutions. 

Location:
Netherlands

Netherlands

Industry:

Healthcare

Project Type:

Marketplace

Duration:

5 Months

Our Approach

To help the client improve medication adherence, we engineered an AI-powered voice calling reminder system that delivers timely, human-like interactions with patients, ensuring they never miss a prescribed dose.

Key components of our approach included: 

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AI Voice Calling Agent: Built a voice-enabled AI agent to call patients at doctor-prescribed times, confirming whether the medication has been taken. This automated patient calling system functioned as an AI medication reminder system to support daily intake.

problem

Intelligent Follow-Up Scheduling:Enabled the agent to handle patient responses—if intake is delayed, it reschedules a follow-up call based on the specified timeframe and continues engagement until adherence is confirmed.

problem

Real-Time Status Sync: We integrated backend tracking that instantly updates patient intake status upon confirmation, providing real-time visibility for care providers through advanced medication compliance monitoring capabilities.

problem

Adherence Monitoring & Reporting: Developed automated dashboards and reports to monitor individual compliance and support data-driven healthcare decisions using advanced medication adherence technology.

The Challenges

problem

Low Patient Adherence: Many patients forgot to take their prescribed medications, especially those with chronic or long-term conditions.

problem

Manual Reminders: The traditional approach of relying on manual reminder systems were unscalable and frequently mistimed.

problem

Inefficient Monitoring: The absence of a centralized system for tracking medication intake by the patients.

problem

Lack of Personalized Reminders: Existing reminders lacked personalization based on patient schedules or Preferences.

Core Features Developed

AI-Powered Medication Caller 
AI-Powered Medication Caller 
Initiates intelligent voice calls at doctor-prescribed times, simulating human conversation to confirm medication intake and handle real-time patient responses. This AI voice reminder for medication became the core component of the AI medication reminder system.
Smart Delay & Follow-Up Handler 
Smart Delay & Follow-Up Handler 
Captures patient-specified delay durations and schedules precise follow-up calls automatically — ensuring no missed confirmations.
AI-Powered Medication Caller 
Centralized Adherence Dashboard
Centralized Adherence Dashboard  
Centralized Adherence Dashboard  
Provides a unified, role-based view of patient responses, intake patterns, pending follow-ups, and non-compliance alerts — filterable by region, status, and care provider. 
Real-Time Adherence Logger  
Real-Time Adherence Logger  
Tracks each patient's medication status live, with every call outcome logged and synced to a central compliance system for provider visibility. It complements the automated medication calling system.
Dynamic Reminder Loop Engine
Dynamic Reminder Loop Engine
Continuously re-engages patients with missed or postponed doses until intake is confirmed — reducing the risk of dose gaps in chronic or elder care.
Auto-Generated Compliance Reports 
Auto-Generated Compliance Reports 
Generates scheduled reports on medication adherence trends across patient cohorts, enabling data-driven care optimization and risk mitigation through automated patient reminder calls.
Dynamic Reminder Loop Engine

The Result

Here are the impactful results the client achieved after implementing our AI-powered appointment booking solution.

Achieved a 32% Boost in medication

adherence, reducing missed doses among chronic and elder care patients. 

Increased patient engagement by 2.5x

through consistent, voice-driven interactions that empowered patients to manage medication schedules.

Reduced manual workload by 40%

through automated calls and follow-ups, allowing clinical teams to focus on high-value care.

Scaled patient outreach without

additional staff or infrastructure, ensuring seamless expansion across regions.

Looking For More Case Studies?

healthcare-service-platform

Healthcare Platform

Backend Development

Frontend Development

Support & Maintenance

A Healthcare all-in-one platform to avail health status, by having Doctor's appointment booking, Hospitals Info, Lab Tests with various providers, and Booking Medicines with online Pharmacies, & other health services.

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Lab-test Journey

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Pharmacy Journey

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Prescription Journey

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Medication Management

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What Our Clients Say

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Yash and his team are great, and I will continue to use them for different enterprise level projects. What drew me was the way they provided suggestions outside of what I asked, which turned out to be exactly what I needed.

Martavis Parker

Delivery Manager

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