HealthTech Challenge

CODE HQ

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In-person/Virtual

9 February to 27 May

about
Overview

A digital challenge focused on providing solutions in the field of health technology. The challenge connects the fundamentals of business model development with the principles of product innovation in the sector.

Intended audience
Decision
Interested in health technology
experts
Health technology experts
interested
Health industry leaders
Registration Criteria
An idea in the field of sports technology
Idea in the field of health technology
Experience in the field
Experience in the field
Saudi National
Multidisciplinary Team
Full-time
Full-time commitment to the challenge
age
21 years and older
Challenge journey
01

9 February - 5 April

Registration opens
02

06 - 10 April

Launching and confirmation to those accepted
03

13 - 17 April

Business model preparation srage
04

20 - 24 April

Filter and selection of participants
05

26 April - 07 May

Training bootcamp
06

17 - 21 May

Technical Support
07

27 May

Competition Day
08

Later

Closing Cermony
Benefits of the program
artificial intelligence
Being up to date with latest technology developments and available opportunities
mentoring
Technical mentoring in Health Tech
Help and support
Help and support in building the business model.
Access
Access to mentors & experts in the field
crowd
Access to different regulatory bodies and entitrs
Challenge tracks
Operations Track

Description:
Healthcare entities have invested heavily in digital infrastructure over recent decades, generating vast amounts of data. However, extracting actionable insights to inform decision-making remains a significant challenge for managers and leaders. The goal of this track is to develop innovative tools that empower healthcare leaders to interact with their data securely—offering insights, visualizations, and enhanced data analysis capabilities.

Key Objectives:

  • Develop solutions that generate insights from various data types (clinical, supply chain, etc.), including both structured and unstructured data.
  • Design interactive dashboards that not only display data but also incorporate innovative features such as natural language query capabilities for data analysis.
  • In healthcare systems, there may be concerns about using cloud-based solutions; therefore, consider deploying the solution locally.
Clinical Communication Track

Description:
Capturing patient–doctor dialog interactions is critical for high-quality care, yet clinical teams often face challenges with time-consuming note-taking and data entry, which can lead to incomplete or inaccurate records. This track focuses on creating a system that captures dialogues—often in a mix of Arabic and English—and generates accurate, comprehensive summaries tied to clinical codes (e.g., ICD).

Key Objectives:

  • Accurately and completely capture the dialog communication between patients-doctors and the clinical staff and convert that text.
  • Automate the identification of clinical terms and map them to the appropriate clinical codes.
  • Propose missing clinical information to ensure comprehensive and complete patient–doctor communication.
20
Digital event,and consultation hours
250
Beneficiaries
25
Building protoypes

FAQs

  1. Hospital Operations Challenge
  2. Doctor-System Interaction

Attending workshops and counseling sessions is required to fully benefit from the program.

We are pleased to contact you and we will always be ready to help on the following e-mail: digitalchallenges@mcit.gov.sa.

There is no fee as the Digital Challenges Program aims to support the nation's youth and raise technical competence in general

Given the importance of each path of the challenge, it is necessary to register the participant with only one idea for each path separately.

It will be an intensive program that includes extensive training workshops and mentoring sessions with technical experts.

Both languages, Arabic and English.

  • Innovation & Usability: The solution should offer a novel approach to data visualization and interaction, enabling non-technical users (managers and leaders) to extract insights easily.
  • Technical Robustness: The solution should demonstrate the ability to efficiently process large datasets while supporting a high number of simultaneous users.
  • User Empowerment: Provide functionalities that allow leaders to interact with data in real time using natural language queries or similar innovative methods.
  • Scalability & Flexibility: The solution should support various data sources, including structured data stored in database tables, data files (e.g., Excel, CSV), and unstructured free-text data such as clinical notes.
  • Accuracy: The solution must reliably capture and transcribe mixed-language patient–doctor interactions with high accuracy.
  • Clinical Relevance: Automated mapping of clinical terms to codes should be precise, and the system should identify missing critical clinical information.
  • Efficiency: Demonstrate improvements in the speed and efficiency of clinical documentation compared to traditional methods.
  • User Acceptance: The solution should be user-friendly for clinicians, requiring minimal training and integrating naturally into existing clinical workflows.

Yes, registration and participation are possible from outside the Kingdom, as the program features a hybrid format.

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