Remote Patient Monitoring
We offer expertise in building web and mobile software as a service (Saas) products like remote patient monitoring. We have been a strategic partner to growing startups in the healthcare domain.
We know healthcare, technology and data security. You understand and know your practice and your patients best. Together, we enable automated processes, efficient care flows and patient-centered care.
Who do we work with?
WHO ARE WE
We Know Healthcare
We are a healthcare software development company backed by highly experienced doctors working alongside the best technology experts in the industry. We focus on building technology that impacts health systems, pharmaceuticals, medical device companies, insurance companies, physician groups and startups. Every project has a doctor and technical innovator to ensure you get more than you asked for.
Essential features of an Remote Patient Monitoring
Improved Access to Care:
Mobile Technology: Mobile health apps, available on iOS devices, empower patients to connect with healthcare providers through video calls, secure messaging, or access to their medical records. These apps are user-friendly and facilitate virtual consultations.
Reduced Healthcare Costs
Mobile Technology: Wearable devices, like the Apple Watch for iOS users, continuously monitor health metrics. These devices transmit data to mobile apps, which can alert patients and healthcare providers to deviations from normal values, enabling early intervention.
Cloud Services: Cloud-based platforms, such as AWS IoT Core, Azure IoT Hub, and Google Cloud IoT Core, manage the data generated by wearables. They provide the infrastructure for securely storing and analyzing this data, contributing to cost reduction by avoiding hospitalizations and emergency visits.
Enhanced Quality of Care
Mobile Technology: Mobile health apps on iOS devices collect patient data and provide insights on chronic disease management, medication adherence, and preventive care. They enable personalized care plans and interventions.
Cloud Services: Cloud-based machine learning services from AWS (Amazon SageMaker), Azure (Azure Machine Learning), and Google Cloud (Google Cloud Machine Learning Engine) help analyze patient data, identifying trends and predicting health issues, ultimately improving the quality of care.
Lowered Health Risks
Mobile Technology:iOS devices support telemedicine, allowing patients to receive care without exposure to infections and hazards in healthcare settings. Patients can access their healthcare teams via mobile apps while staying in the safety of their homes.
Increased Patient Engagement and Satisfaction
Mobile Technology: iOS apps offer patient portals, allowing users to view their health records, communicate with healthcare providers, and access educational materials. These features engage patients in shared decision-making and care management.
Standards and Compliance
We partner with smart people working on solving interesting problems. We interviewed a handful of our clients about their work.
In collaboration with Doctustech we developed custom algorithms to power a patient-management tool, leveraging the power of machine learning to improve upon traditional paper diagnosis charts with pattern recognition and real time suggestion. HCC Doc improves physician history recording and lab test reporting to optimize HCC coding and documentation. The client is a primary healthcare provider serving over 20,000 patients, operating in multiple geographical zones. We helped them in integration of EHR services.