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.

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Direct-to-patient app

Our direct-to-patient app provides home-based care video consultations with doctors for patient living remotely or in isolation.

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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!

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Why Intelehealth

An innovative solution which helps in the integration of telemedicine as a health delivery system in communities

1

Improve Patient health outcome

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.

Longitudinal Tracking of Health Records (EHR)

Follow-up care

2

Deliver Patient-Centered Care

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.

User-centered framework approach

Multilingual & user friendly platform

3

Reduce Delays In Care-Seeking

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.

Real time Audio/Video and chat support

Quick doctor consultation

4

Support Frontline Health Workers

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.

100+ clinical data collection workflows

FAQ & video library

5

Impactful - Scalable - Cost-Effective Programs

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.

Open source platform with interoperability

Built to customize to meet user needs

Powerful Features

Digital Assistant

'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.

Open-Source platform

A completely open-source, highly customizable and community driven platform which is built using open-source tools.

AI/ML

Artificial Intelligence (AI) is being integrated to increase the efficiency of health workers, increase total addressable population & reduce costs of the health programs.

Data Privacy & Security

Multiple encryptions and tokenization techniques to ensure optimal security without sacrificing data usability.

Data Dashboard

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

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.

Interoperability - HL7 & FHIR APIs

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.

Ecosystem

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).

Digital Assistant

'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.

Open-Source platform

A completely open-source, highly customizable and community driven platform which is built using open-source tools.

AI/ML

Artificial Intelligence (AI) is being integrated to increase the efficiency of health workers, increase total addressable population & reduce costs of the health programs.

Data Privacy & Security

Multiple encryptions and tokenization techniques to ensure optimal security without sacrificing data usability.

Data Dashboard

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

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.

Interoperability - HL7 & FHIR APIs

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.

Ecosystem

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).

Our technology platform consists of a health-worker and patient facing Android application and a web app for doctors hosted on cloud-based Electronic Health Record (OpenMRS).

We look forward to partnering with you

Together we can make telemedicine reach the last mile

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