⭐ Quick Start ⭐

Hello!!!

Let's introduce ourselves,

We are

- Matteo Ballabio, Biomedical and Management Engineer, PwC Consultant

- Luca Alessandro Cappellini, Medical Doctor, Radiology Resident, MBA fellow

- Federico Facoetti, Engineering and Management for Health

Thank you for visiting our project!

We joined our forces and competences to created MeHEDI-app. Our aim is foster digital transformation, in small-to-medium healthcare facilities in Italy leveraging on real-time analytics and a data-driven approach. We want to create a digital infrastructure where Patient Satisfaction data from one side, Operation and economics data from the other, are blanded together to provide actionable insights. As to now, we have worked strongly on the Patient Satisfaction side as you will see.

Here's MeHEDI-webapp. MEHEDI is a web-app developed with Streamlit an open-source framework (Python-based library) for developing apps which leverage on machine learning and data science technology.

⬇️ Quick view documentation and storytelling 🛩️

Mehedi app was deployed on:

- Streamlit CLoud

- Health Universe

If you want to visit our story on Streamlit Blog Stories 🎈🎈

⬆️

Process flowchart

1. Data Entry - 2) Data Storage and Fetch - 3) Web application analysis - 4) Dashboard

This process represents the management of an information flow in a healthcare company with the aim of real-time monitoring of certain KPIs. These KPIs are made available at any time to the healthcare management and management, who can make decisions supported by real-time knowledge of the performance of the healthcare facility.

0. The web-app consists of the following interfaces:

1.Landing page

Log-in interface:

1. Log-in for the management of the heathcare facility

2. Log-in for patients

2.| UX/UI interfaces

Users:

A) Patients

Patients interface: fully digitized, interactive and customizable Patient Satisfaction form based on the degree of patient time and contribution availability

Framework introduction and availaible time selection

Scrollbar evaluation based on Likert scale (1-7)

Real-time interactive visual evaluation of the report

Final report of patient evaluations with the possibility for the patient to leave comments (open-text) that will be analysed on the facility dashboard and integrated with the other data in the form

B) Healthcare Facility:

Dashboards A (Patient Satisfaction)

Real-time analysis is performed on data extracted from Patient form (Likert-Scale evaluation) and displayed visually: KPI are elaborated.

Real-time analysis is performed on data extracted from comments thourgh a sentiment analysis approach and displayed visually: KPI from comment free-text are elaborated.

Real-time filtering opportunity is also availabile

Dashboard B, C (Operations & Economics)

[... ongoing]