Chinook Capital Limited

Regionally tailored data analytic platform that helps communities to leverage on AI in the identification of and recovery from diseases

Suru Avoseh, Managing partner

Our solution aim to enable public health professionals to predict outbreak through our health data sharing platform. We are empowering individuals to avoid exposure and lessen transmission through a digital assessment tool for evaluating disease exposure. We are developing a dynamic feedback loop for regional health systems, a contact tracing platform and an AI Powered intelligent IVR System that aim to support regional governments and multilateral organizations to coordinate evidence-based rapid response plans to the health, social, and economic impacts of health emergencies. Our solution extends to countering misinformation and conveying accurate and trusted messages through a risk communication platform to access information/ medical assistance. 

The need for these solutions are essential in detecting or recovering from a pandemic that affects all populations globally.

We aim to provide these resources to health providers and governments to be better prepared to handle epidemics, pandemics and health crises in the future.

Target audience: CDC, Hospitals &health providers, and the public.

Needs Identification/ Areas of support: A dynamic approach of data collection, analysis, and forecasting to inform policy decisions in real time. Trending discussions can give insights into an indication of the emergence of a possible health crisis, epidemics and pandemics. Tracking the level of disease contraction in a given area. Resolving issues of false alarms calls during an emergency outbreak Which can be an headache for emergency workers. 

A lack of a regional-based connected health information platform to monitor rising trends in healthcare. Also, hospitals have limited resources, requiring efficient use of data points and clinician time. Despite the role of data analytics in transforming patient health, many hospitals are unable to hire a full time data scientists. 

A lack of remote tools for individuals to access their virus exposure leads to dangers when the virus reaches advanced stages thus granting only little chances of survival. Inadequate platforms for individuals to reach out to local health professionals when in dire need to medical information or medical assistance. Finally, there are a lack of tools to connect high risk infected individuals to clinical centers increases mortality rate among the high risk population.

Freely accessible information showing disease forecast on various social networks, free to use assessment tool for evaluating risk exposure, free platform  in the form of a forum facilitating health data sharing

• Support early detection of virus to keep anticipated healthcare needs under the threshold of availability in a region
• Serve as an early warning system that tells us how to enhance suppression measures of a virus outbreak
• Better point of care decision making
• Better information regarding patient health and symptoms
• Track hospital performance and efficiency
• Predictive ability prepares hospital managers for the future
• Early detection of virus activity level through aggregation and monitoring has the potential to predict regional outbreaks up to several weeks before they are
  being reported by government agencies, identify emerging diseases or viruses or even to reduce the impact of seasonal diseases.
• The earlier the warning, the earlier prevention and control measures can be put in place and could prevent cases of virus/diseases. 
• Creating a community of employable data scientists
• Building collaborative teams that work together to design new models towards making healthcare safer for all
•  limit unnecessary contact and reduce how rapidly medical facilities are overwhelmed especially with mild cases or inquiries that do not require urgent or
  emergency response.
•  Provide clinicians with precise information about virus activity level for each patients
• helps analyse geospatial data & it’s variables concerning diseases so that predictions are accurate

We aim to scale impact by continuously introducing new features to our products that will help solve more problems. Through partnerships with government agencies, NGOs and health organizations, we will use our expertise in creating result-driven solutions with the main objective of making healthcare safer.

1. Comparing actual disease/flu forecast to actual data sourced from the CDC

2. Accuracy of hospital data point (i.e. length of hospital stay, number of patients requiring surgical intervention) forecast to actual data 

3. Performance evaluation of trained data analysts

4. Accuracy of digital assessment tool

5. Accuracy of contact tracing devices

6. Accuracy of risk assessment tool matching individuals to hospitals

7. Effectiveness of calls placed simultaneously

Financial barriers in terms of development of these solutions

Minimum requirement: Each solution cost an average of $150k to build and we have identified 10 of such solutions. 

Funds will majorly be spent on technology costs such as: Data visualization tools, web application, Application developers, Bot development, IVR system, training costs for instructors etc.

We aim to overcome this challenge by participating in competitions, soliciting for grants and open to private investments.

As an investment firm, we have the following portfolios that are using data analytic in healthcare: 

1. Trepslab (HealthTech)

2. Lifestore pharmacies (HealthTech)

Others are:

Youverify.co (FinTech), Blusalt (FinTech), Edves (EdTech), Thrive Agric (AgTech), Farmer 1st (AgTech), Hirefreehands.tech (Homecare), Pennysmart (FinTech)

To receive support in terms of mentorship, technical support, and funding.

• Telecomms providers
• Medical Research Institutions
• Health providers
• Insurance companies
• Social networks
• Centres for disease control
• Government health agencies
• Public and private health data