Integrating AI into MHealth Services: Key Benefits
The digital health sector continues to evolve, and the development of Medical Health (MHealth) products is rapidly gaining momentum. In the first quarter of 2020, nearly 54,000 MHealth apps were available for download in the Apple Store and Google Play. About 45% of these apps focus on health monitoring and management services.
AI Integration in Health Monitoring Apps
Artificial intelligence (AI) technology has been successfully integrated into medicine, from robotic surgery to diagnostic methods using neural networks and tracking tools for health indicators. Smart solutions are also embedded in digital health products, thanks to AI’s ability to analyze data, make accurate predictions, and continuously learn.
Personalized Recommendations
AI collects data from wearable devices such as fitness trackers, blood pressure monitors, and glucose meters. It then analyzes the information and provides recommendations tailored to the user’s needs. This helps prevent the development of diseases at early stages, track critical health metrics, and improve treatment outcomes.
Remote Monitoring
Monitoring patients outside of clinics via real-time data exchange simplifies access to medical services and reduces healthcare costs. Remote consultations with doctors become possible, and cameras enable patient monitoring at home. AI tools track physical changes or symptoms relevant to specific conditions. These capabilities allow private clinics to expand their audience and attract more patients. By offering additional services such as remote monitoring, clinics can provide more convenient care and increase profitability.
Support and Motivation
AI is used for complaint processing, initial pre-diagnostic evaluations, and psychological assistance. Specialized platforms powered by AI offer emotional support through virtual assistants. These digital assistants help users manage stress by offering mindfulness practices or recommendations for emotional well-being.
KinesteX AI: A Smart Extension for MHealth Services
KinesteX AI is a software solution integrated into MHealth apps to provide a unique feature for physical activity. The embedded AI trainer seamlessly integrates into digital health services, offering a database of over 430 exercises categorized by skill level, including rehabilitation and recovery programs.
Key Features of KinesteX AI:
Personalized Workouts: The AI trainer monitors exercise technique through the device’s camera and provides real-time feedback to correct posture, ensuring safe and effective workouts. Activity Monitoring: KinesteX AI tracks workout duration, mistakes, calories burned, and repetitions, helping users track their progress. Data Collection and Analysis: The smart assistant collects up to 30 types of user data, uploading it to the platform for further analysis. This allows companies and developers of digital health services to improve the personalization of user interactions. Social Support: KinesteX AI encourages users with motivational phrases and humorous comments during workouts, helping maintain motivation and regular fitness routines. Seamless Integration with Your Application Integrating KinesteX AI into MHealth services is seamless thanks to SDK development, which takes a maximum of 1 hour. The integration process depends on the choice of either full or custom UX and the specific requirements for updating workout programs.
Programming languages: Flutter, Swift, React Native, Kotlin, PWA support, and API access Design setup duration: Up to 15 minutes through the admin panel Regular updates and adjustments tailored to business needs Creation of workout plans if not already in the platform's library New AI-powered solutions for health monitoring and management bring preventative care and disease monitoring into a more convenient online environment while maintaining an expert approach. KinesteX AI enables MHealth apps to personalize their services, enhance user engagement, and significantly increase their patient base.
