Multi-channel Telemedicine Solution
Provider-to-Provider
Our app connects frontline health workers in rural areas with remote doctors to provide uninterrupted quality healthcare services for entire micro population.
Direct-to-patient app
Our direct-to-patient app provides home-based care video consultations with doctors for patient living remotely or in isolation.
Direct-to-patient helpline
Our direct-to-patient helpline aids in facilitating at-home teleconsultations for underserved microcosms with remote doctors for medical advice, prescriptions and referrals!
Why Intelehealth
Intelehealth platform helps to improve patient health outcomes by designing and implementing a project that can ensure timely identification of various communicable and non-communicable disease. It also enables regular follow-up for non-communicable diseases and for antenatal care services.
The Intelehealth platform is designed using a user-centered framework approach. We ensure that patients needs and wants are kept in mind. The project is designed considering the current geographical area, health infrastructure, culture and language to ensure a complete patient-centered service.
The solution makes quality health service accessible for patients near their doorstep, thereby reducing time taken to travel. This reduces the delay in diagnosis and delay in treatment caused by lack of health services and poor quality of health services.
A comprehensive training syllabus is developed to support Frontline Health workers to adopt the platform. The syllabus includes technology, clinical and communication training. A digital protocol supports FHWs to take accurate history to ensure quality health service is being provided to the patient.
Our digital solution is open-source and customizable thus enabling us to design to meet your unmet needs taking into account of various influencing factors to ensure that the project is impactful, scalable and cost effective.
'Ayu' supports health workers in collecting the right information assisted with 100+ data collection protocols required to guide the remote doctor’s decision-making process.
A completely open-source, highly customizable and community driven platform which is built using open-source tools.
Artificial Intelligence (AI) is being integrated to increase the efficiency of health workers, increase total addressable population & reduce costs of the health programs.
Multiple encryptions and tokenization techniques to ensure optimal security without sacrificing data usability.
Open Source BI tool (Apache Superset) is used to provide a transparent and evidence based reporting to measure the progress of partner's interventions continuously & consistently.
Data analytics is used to analyze current & historical data to predict trends, improve outreach and better clinical outcomes by way of Descriptive, Predictive/Prescriptive & Discovery Analytics.
The platform consists of a mobile app for health workers and a cloud-based electronic health record system as a backend which is based on the widely-used OpenMRS.
Growing product roadmap aligned with WHO's Digital Health Atlas (DHA) and Ayushman Bharat Digital Mission (ABDM) framework in order to ride on the Digital Health Platforms (DHP).
'Ayu' supports health workers in collecting the right information assisted with 100+ data collection protocols required to guide the remote doctor’s decision-making process.
A completely open-source, highly customizable and community driven platform which is built using open-source tools.
Artificial Intelligence (AI) is being integrated to increase the efficiency of health workers, increase total addressable population & reduce costs of the health programs.
Multiple encryptions and tokenization techniques to ensure optimal security without sacrificing data usability.
Open Source BI tool (Apache Superset) is used to provide a transparent and evidence based reporting to measure the progress of partner's interventions continuously & consistently.
Data analytics is used to analyze current & historical data to predict trends, improve outreach and better clinical outcomes by way of Descriptive, Predictive/Prescriptive & Discovery Analytics.
The platform consists of a mobile app for health workers and a cloud-based electronic health record system as a backend which is based on the widely-used OpenMRS.
Growing product roadmap aligned with WHO's Digital Health Atlas (DHA) and Ayushman Bharat Digital Mission (ABDM) framework in order to ride on the Digital Health Platforms (DHP).
