Global Health Integration Network (GHIN)

The Global Health Innovation Network (GHIN) emerged from a need to tackle the severe global health crises exacerbated by conflicts, natural disasters, and systemic inefficiencies in health data management. Across the globe, more than 1 billion people suffer due to slow crisis responses and poor health outcomes stemming from fragmented health systems.

In humanitarian settings, the lack of standardised data collection, sharing, and agency coordination undermines effective healthcare delivery. 

https://gh-bmj-com.ezproxyberklee.flo.org/content/7/Suppl_8/e007249

In regions torn by conflict or struck by natural disasters, the absence of cohesive and reliable health data systems can severely disrupt healthcare delivery. This not only worsens health outcomes but also impedes swift crisis response, disproportionately affecting the most vulnerable populations.

There is also a gap between technology advancements and solutions in healthcare. Our initiative, the Global Health Innovation Network (GHIN), is driven by an urgent need to bolster health system resilience and capacity. By aligning our efforts with the UN Sustainable Development Goals, GHIN aims to revolutionise health data management, analysis and recommendations—ensuring that every individual, irrespective of their circumstances, has access to quality evidence-based healthcare. Our commitment is to establish a framework that not only supports current needs but is also robust enough to address future challenges.

The Global Health Innovation Network (GHIN) is an integrated platform designed to transform health data management through three pivotal innovations:

1. De-centralised and Secure Data Storage
   Leveraging the robustness of Hybrid Blockchain Architecture rooted in the Global Patient co-Owned Cloud (GPOC), GHIN ensures that patient data is not only secure but also transparently managed across international borders.

2. IoT/Wearable Device Integration
   By harnessing real-time data from wearables and environmental sensors, GHIN enriches its database, providing a more dynamic and comprehensive view of public health that feeds seamlessly into our cloud-based platform.

3. Advanced AI and Machine Learning
   At the core of GHIN, sophisticated AI algorithms analyse vast data sets to forecast health threats and deliver personalised, evidence-based health interventions. This capability is crucial not only for daily health management but also for providing immediate responses in emergency situations such as conflicts or natural disasters.

GHIN is meticulously designed to serve three distinct yet interconnected communities

Crisis-Affected Healthcare Providers
By deploying real-time environmental and health data analytics, GHIN empowers healthcare workers in crisis zones to make informed decisions swiftly, optimising the allocation of medical resources and enhancing patient care under challenging conditions.

Under-resourced Communities
For populations in remote areas, GHIN democratises access to healthcare by providing critical data-driven insights and recommendations, significantly reducing the need for physical travel to healthcare facilities.

Advanced Economies
In developed regions, GHIN enhances existing healthcare systems by integrating and analysing data from wearables and conventional medical tests, thereby facilitating global health monitoring and personalised medicine. It is also anticipated the for-profit work in advanced economies would fund work in under resourced communities with a proposed tier model to access the GPOC. 

Our team's foundation in the pioneering development of GPOC blockchain technology, combined with extensive expertise in machine learning, epidemiology, and global health delivery, uniquely positions us to implement GHIN effectively. Our collective experience ensures a deep understanding of both the technological and clinical landscapes necessary to drive significant global health improvements. This culminated in a driven, passionate team who understand how to deploy a system which would lead to the greatest benefit to public health globally. 

GPOC Paper
(Published in Nature Communications - March 2024)

https://www.nature.com/articles/s41467-024-46503-5

https://www.ndph.ox.ac.uk/events/using-wearables-ai-to-transform-our-understanding-of-health

- GPOC system to store patient data safely and efficiently set up and functional

- Wearables integration to GPOC access encoded into system 

- AI and machine learning algorithms to analyse big data also ready and optimised

- Pilot study pending, aiming to launch in a small cohort the next month to test

Collaborating with Solve represents a strategic alignment with visionary leaders and innovators. We seek to leverage

Technical Expertise

Engaging with MIT's forefront of technology to refine our AI algorithms, enhancing the predictive accuracy and functionality of GHIN.

Pilot Launch Support

Utilising Solve’s robust network to deploy and scale our pilot projects, enabling us to reach a broader demographic and implement our solutions effectively across diverse geopolitical landscapes.