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Comprehensive healthcare teleconsultation platform

Telehealth is a comprehensive platform that facilitates remote connections between patients and doctors. By enabling seamless virtual consultations and interactions, the platform offers a convenient way to access medical services from anywhere.
Category: 
Telemedicine
EHR

Client

TeleHealth.de GmbH

Industry

telemedicine, virtual care, EHR

Market

Germany

Engagement

Project Based

Scope

Mobile app, Web app, Cloud

Team Size

7 developers, QA, UI/UX, PM

MVP

n/d

Partnership

2 year (ongoing)
Project description

Telehealth is a platform designed to facilitate remote connections between patients and doctors, providing comprehensive healthcare services from a distance. It features three distinct apps tailored for different users: patients, doctors, and administrators.

For patients, the platform includes functionalities such as scheduling appointments, conducting video consultations, storing medical records, and receiving sick leave certificates and e-prescriptions. Adult users can also schedule appointments for their children, whose profiles transition to autonomous accounts upon reaching legal age. 

Telehealth also offers a personalized calendar for doctors, access to patients’ electronic health records, pre-visit notes based on patient surveys, and payment management tools, including invoice issuance.

Project results
About the problem

Patients’ perspective

Dzięki dostępowi do dedykowanej aplikacji mobilnej pacjenci mogą korzystać z wygody korzystania z usług medycznych online: consult professionals from all over the country, conveniently manage appointments, and access their records on-the-go at any time.

Doctors’ perspective

Telehealth application simplifies healthcare providers' workflow, increases efficiency, opens doors to a host of new patients, simplifies records management, and allows for enhanced care delivery

Project scope
Step 1
Document Digitalization

The first step involved converting scanned documents into digital formats using OCR technology. This phase was crucial due to the diverse nature and quality of the scanned documents. Advanced OCR solutions were employed, capable of handling various text formats, handwriting, and even low-quality scans, ensuring high accuracy in digitization.

Step 2
Document Categorization

Once digitized, the documents were categorized into predefined classes such as medical reports, lab tests, and billing documents. This categorization was facilitated by a machine learning model trained on a large dataset of annotated healthcare documents. The model was fine-tuned to recognize and categorize documents accurately, even when the formats and templates varied significantly.

Step 3
Key Facts Retrieval

The extraction of key facts from the categorized documents was the next critical step. Using natural language processing (NLP) and machine learning algorithms, the system identified and extracted pertinent information such as patient names, birthdates, addresses, ICD codes, and details of medical procedures. The AI model was trained to understand the context and semantics of the healthcare domain, ensuring a high level of precision in fact retrieval.

Step 4
Medical Summary and Report Generation

The final step involved synthesizing the extracted information into coherent medical summaries and reports. Generative AI models, trained on a vast corpus of medical texts, were employed to generate summaries that were both accurate and easily comprehensible. These summaries provided a consolidated view of the patient's medical history and current claims, significantly aiding in the decision-making process.

Key features
Online booking platform
Video calls
E-prescriptions
Online questionnaires
Health monitoring
EHR integrations
live chat
with doctor
knowledge
base
rehab
programs
fitbit
integration
analytical
dashboard
HIPAA
compliance
parameters
tracking
Project timeline
Project tech stack

Kotlin

Backend Development

Swift

Mobile Development

Angular

Frontend Development

Java

Backend Development

MySQL

Database

AWS

Hosting
Project tool stack

Jira Cloud

Project Management

Confluence Cloud

Project Documentation

Atlassian Cloud

Project Management

Slack

Project Communication

Notion

Project Documentation

Figma

UI/UX Design

Twillio

Video Calls Integration

Google Maps

Geolocation

Gmail

E-mails Integration
Technical description