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Overview

Prioritizing physical health is very important, and ignoring our well-being can really affect our overall health. The traditional healthcare system needs many appointments and referrals, making it hard for patients to get care when they need it. Our client, a healthcare provider, wanted to fix this problem and asked us at vrinsoft to make a new telehealth app with AI. This app helps patients take control of their care and makes healthcare delivery more efficient. This case study will provide detailed information on how we approached and completed this project.

Project Highlights

  • Provide seamless user experience for patients and physicians on Android and iOS devices using Native app development.
  • We integrated AI to help with a symptom checker that can analyze potential health concerns and offer recommendations.
  • Patients can easily book appointments, start a secure video consultation, and manage healthcare needs remotely.
  • Integrates with health monitoring devices to track vitals and support chronic disease management.
  • We have employed robust security measures to ensure data privacy and regulatory compliance with HIPAA.
  • Using Web-based Admin Control, clients can learn about user management, appointment scheduling, and performance tracking tools.
  • Advance cutting-edge tech stack to help with scaling the app with growth.

Goals

  • Provide seamless user experience for patients and physicians on Android and iOS devices using Native app development.
  • We integrated AI to help with a symptom checker that can analyze potential health concerns and offer recommendations.
  • Patients can easily book appointments, start a secure video consultation, and manage healthcare needs remotely.
  • Integrates with health monitoring devices to track vitals and support chronic disease management.

Strategy

  • Provide seamless user experience for patients and physicians on Android and iOS devices using Native app development.
  • We integrated AI to help with a symptom checker that can analyze potential health concerns and offer recommendations.
  • Patients can easily book appointments, start a secure video consultation, and manage healthcare needs remotely.
  • Integrates with health monitoring devices to track vitals and support chronic disease management.

Outcomes

  • Provide seamless user experience for patients and physicians on Android and iOS devices using Native app development.
  • We integrated AI to help with a symptom checker that can analyze potential health concerns and offer recommendations.
  • Patients can easily book appointments, start a secure video consultation, and manage healthcare needs remotely.

Our Client

Our client operates primary care clinics that offer accessible and comprehensive healthcare services to local residents. They focus on patient convenience and use technology to improve efficiency and patient engagement. To meet the growing demand for telehealth services, they approach Vrinsoft to create a user-friendly AI-based telehealth app to improve patient access to quality care.

Client Requirements

  • A secure platform where patients enquire and get AI-based recommendations for health issues.
  • Provide video consultations and appointment booking for remote healthcare.
  • Utilize AI to analyze patients’ symptoms and recommend them to a physician for a consultation.
  • User-friendly interface for both patients and physicians.

Proposed Solution

We proposed an AI-powered telehealth app built with native app development for Android and iOS. We built this app using AI for symptom analysis to streamline healthcare. We have also integrated with third-party health monitoring devices and facilitate secure video consultations. To help clinic manage the app, we provided web-based admin panel with management tools for users, appointments, and data.

Why We Chose This Solution?

To provide a performant and cutting-edge AI inventory application, we developed this app using native app development. Here is why we choose this solution.

  • Native apps development with Swift and Kotlin help optimize each platform, offering smooth performance and intuitive interfaces tailored to Android and iOS users.
  • We Integrated an AI framework to help symptom checkers. This framework analyzes potential health concerns and provides educational resources to patients, fostering a more informed approach to healthcare.
  • We use Google to help with secure video calling to improve patient access to healthcare professionals for remote consultation.
  • Integration with third-party health monitoring devices allows the app to track vitals such as blood pressure, glucose, and weight.
  • The web-based admin panel provides stakeholders with a centralized hub for usermanagement, appointment scheduling, performance tracking, and data analysis.

Benefit of This Solution

We utilize native app development so that it can offer better performance with AI. Patients can easily learn about the symptoms, and the app can help them get started by suggesting a healthcare provider and booking an appointment. It will improve healthcare professionals’ time as AI already narrows down the symptoms.

We utilize native app development so that it can offer better performance with AI. Patients can easily learn about the symptoms, and the app can help them get started by suggesting a healthcare provider and booking an appointment. It will improve healthcare professionals’ time as AI already narrows down the symptoms.

AI-powered Symptom CheckerAI-powered Symptom Checker

Analyzes user-reported symptoms using machinelearning algorithms to suggest potential causes and recommend next steps, empowering patients withinitial health insights.

AI-powered Symptom CheckerAI-powered Symptom Checker

Analyzes user-reported symptoms using machinelearning algorithms to suggest potential causes and recommend next steps, empowering patients withinitial health insights.

AI-powered Symptom CheckerAI-powered Symptom Checker

Analyzes user-reported symptoms using machinelearning algorithms to suggest potential causes and recommend next steps, empowering patients withinitial health insights.

AI-powered Symptom CheckerAI-powered Symptom Checker

Analyzes user-reported symptoms using machinelearning algorithms to suggest potential causes and recommend next steps, empowering patients withinitial health insights.

AI-powered Symptom CheckerAI-powered Symptom Checker

Analyzes user-reported symptoms using machinelearning algorithms to suggest potential causes and recommend next steps, empowering patients withinitial health insights.

AI-powered Symptom CheckerAI-powered Symptom Checker

Analyzes user-reported symptoms using machinelearning algorithms to suggest potential causes and recommend next steps, empowering patients withinitial health insights.

AI-powered Symptom CheckerAI-powered Symptom Checker

Analyzes user-reported symptoms using machinelearning algorithms to suggest potential causes and recommend next steps, empowering patients withinitial health insights.

AI-powered Symptom CheckerAI-powered Symptom Checker

Analyzes user-reported symptoms using machinelearning algorithms to suggest potential causes and recommend next steps, empowering patients withinitial health insights.

AI-powered Symptom CheckerAI-powered Symptom Checker

Analyzes user-reported symptoms using machinelearning algorithms to suggest potential causes and recommend next steps, empowering patients withinitial health insights.

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