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DevScope at Lagos WellTech Summit 2026 — From Data to Delivery in Digital Health

  • Date 11 - 12 Mar, 2026
  • Hour
  • Location LAGOS CULTURAL CENTRE, PORTUGAL
  • Event Lagos WellTech Summit 2026

Event

DevScope at Lagos WellTech Summit 2026

On March 11–12, DevScope will be present at the Lagos WellTech Summit 2026 — I International Summit on Health, Well-Being and Longevity, held in Lagos, Portugal.
Our work in real-world digital health systems will be represented in Panel 6: “From Data to Delivery: Scaling Digital Care in Real Systems.”

📍 Lagos, Portugal
📅 March 11–12, 2026

About the Event

The Lagos WellTech Summit 2026 brings together policymakers, healthcare leaders, innovators, and technology partners to discuss the future of health systems, longevity, and integrated care.

This year’s edition focuses on:

  • •  Global health and system transformation
  • •  Preventive care and longevity
  • •  Digital health and AI
  • •  Real-world implementation challenges in healthcare

Official website:
https://welltechsummit.org/

Our Participation

DevScope’s digital health project will be presented by:

Director of the Planning and Management Control Service
ULS Gaia e Espinho

📌 Panel 6 — From Data to Delivery: Scaling Digital Care in Real Systems
📅 March 12  •  🕑 2:00 PM
This panel will address how digital solutions move beyond proof of concept and into real healthcare delivery environments.

The Project

Using Data to Predict and Reduce Healthcare No-Shows

Missed medical appointments — commonly referred to as “no-shows” — represent a significant operational challenge for healthcare institutions. When patients fail to attend scheduled consultations or exams, clinical resources remain unused, waiting lists grow, and care delivery becomes less efficient.

Healthcare providers increasingly rely on data and analytics to better understand and predict these situations.

In collaboration with healthcare stakeholders, DevScope has been working on data-driven approaches to identify patterns associated with missed appointments and support healthcare teams in anticipating potential no-shows.

By analyzing historical scheduling data and contextual variables, it becomes possible to estimate the likelihood of a patient missing an appointment. These insights can help healthcare organizations:

  • •  improve planning and resource allocation
  • •  reduce unused clinical capacity
  • •  optimize appointment scheduling
  • •  support better patient access to care

This work reflects how data and advanced analytics can move beyond experimentation and deliver real operational value in healthcare systems, aligning with the broader goal of making healthcare services more efficient, responsive, and patient-centered.

Predictive analytics
No-show reduction
Resource optimization
Data-driven healthcare

Attending Lagos WellTech Summit 2026? We’d love to connect and exchange perspectives on how digital solutions move from pilots to real healthcare delivery.