Data Flow - providing IA for healthcare

Filipe Lipster was born in a city around Rio de Janeiro called São Gonçalo, did not care about violence adversities and lack of accessibility, learned from reality the importance of innovation. Innovation was born in your life as the main survival factor in everyday life and like an important tool to help others. This view expanded to several branches of his life over time.

Like every Brazilian, he learned from his family references the value of hard work and the importance of these results needs to positively impact the lives of needy and poor people.

Your goal is to be a problem solver and facilitator, to use your skills to facilitate the solution of global problems.

A recommendation system including reports, dashboards about diseases, epidemics, domestic violence and minority groups are needed by doctors, governments, research institutes, private sector and NGOs to create effective action plans and contingencies to solve the problems fast and to cut costs. As an example, we inform disease type growth, population habits, and many others.

The system can be used anywhere, although a prototype is already working. The information and recommendations are nowadays sent to the District Head of 17 health districts (including the Amazon area) in Ecuador.

As a result, a synergy between the stakeholders is created by feeding the system with local information and the system creates intelligence enough to empower local doctors to attend the population efficiently at the right cost and time. This can be used both proactively or reactively avoiding  loading of the public healthcare system.

In Ecuador, the diagnostic and healthcare data collection is not digitized 100%. Officers and doctors have to guess action plans to attend the population. Our process has increased accuracy, created user friendly reports and created recommendations to support decisions in creating macro policies and plans on how to attend best and efficiently the population.

The way it has been done for many years is not structured and valuable data can be lost due the complexity and the large amount of data. 

We were able to innovate, understand the complexity and found out a way on how to translate and combine data to produce meaningful intelligence into the reports. Additionally, the system smartly has flexible process points where new inputs can be added. The data we use now about Amazon healthcare can be lost anytime or easily corrupted in the current process. By organizing it, we also keep history and a legacy. The same logic can be applied in other situations in future projects.

APPROACH:

1- Data collection: Doctors and healthy professionals collect data when attending the patient. 

2- Data gathering&data transformation: gather and prepare the collected data. 

3- Data analysis and AI: combine data with other external data sets and create intelligence.

4- Content publishing: convert the heavy amount of data into intuitive dashboards & reports, publish them in the content system. After the big data analysis is made, they are passed on to doctors and health specialists to discuss the results, for example, which indigenous groups are most affected by which disease, which are the diseases with the highest growth rate, which months are the most frequent cases, etc.

5- Action & development plan development: after analysing the results, recommendations are created, then the information is shared with local authorities and plans are created.

6- Work field

The Doctors have quality information to prepare their work day, increase efficiency and quality. Furthermore, they have more time to attend to more people.

GOALS:

• Convert the current prototype into a scalable software in 15-24 months;

• Enhance the infrastructure to be safer, faster and available 6 months;

• Prepare to expand to other areas starting at the Amazon area in Brazil in 24 months.

After studying the data, we found that doctors were able to better understand the health situations in each denomination, so they were able to optimize their work with the precise information, doing a more objective work with targets.

After these situations, the doctors were able to reinforce their actions in relation to the priority groups, with disabilities and they have been developing new plans for the contingency of other problems.

Recorded cases in the health care places → +30K cases analyzed

• 17K+ indians impacted with the analysis

• 4,5K cases studied of disabilities persons

• 3.3K of pregnant women's studies to prevent them in the future

In my opinion, the elevate Prize seeks young people with determination who despite the adversities, practiced the initiative even with little or no resources.

Data Flow was born without any external support, we work without any kind of support, financing or necessary equipment. Instead it, we worked on improvising the treatment of more than 40k of data and we did a good job with great results.

I believe that our entire trajectory fits in with the objective of the prize, empowering young people who, in addition to having ideas, they put in practice through all adversities and obstacles.

The project was born while I was studying data analysis and trying to understand how to use this powerful technology to impact positively on social problems. The first pilots of the project were in Africa.

During that time, I met an Ecuadorian doctor who was responsible for some health districts.

We talked a lot about how they, the doctors, do their studies and action plans to fight against the growth of illnesses, the growth rate of people with disabilities, chronic illnesses, etc.

I saw a big gap in the health care system efficient processes, where they took doctors from a "blind" situation to a situation where they would understand the data and how to better position themselves in these situations.

Thus the first tests of the project were born in the Amazonian part of the equator.

Me, like the majority of Brazilians, have indigenous descent. Throughout the history of formation in Brazil and Latin America, this has become part of our history, culture, and identity.

The Amazon occupies a large part of Latin America, connecting with borders in several countries and making it part of all nations.

 This connects us strongly with indigenous culture and makes Latin countries sharing the same cultures and identities.

This makes us one.

 When I had the opportunity to work with people who are also part of my culture, identity, it made me have a passion for this project.

I feel like I'm taking care of my family, of people who are very close to my roots, this motivates me and makes me passionate about working and improving every day.

The project is 6 months old, tested and already being used by the local authorities. Limitations were reached and it is necessary help from a strategic organization that has focused on data infrastructure, online content management platform, leadership and experience. The strategic partner will help in the expansion, consulting, technology, management and connection with the UN sustainable development goals.

THE ORGANIZATION / TEAM 

• Crably.com organization/partner: It is a private company based in Copenhagen (Denmark) with 5 years experience in Data & Content management that has a Content and Software Development Platform to speed up the development, infrastructure and administration. It will be responsible for the project execution.

• Fabio Brito (Crably CEO): 7 years IT consultant in the public Danish healthcare system and 12+ business consultant.

• Davi Thiesse (Crably CTO): specialized in system development and cyber security

• Filipe Lipster (project general manager): specialized in PR & Data Analysis

• Flávio Crispin (Data Analyst): economist specialized in data analysis 

• Igor Pereira (Data Analyst): computer scientist specialized in data analysis

• Anthony (Spanish content writer)

• Ogunlele Josef (Freelancer public health care system): specialized in microbiology and health public system

• Karla (Doctor): Msc in  healthcare public sector and family and communitarian medicine, head part of ecuador’s health care units in Amazon

The biggest problem we went through was working with a lot of data without a decent structure. There were moments that we thought would be impossible.

The factor of leadership and work and team was essential for everyone to work with the same mentality and purpose, this was essential for us to be able to work together on targets and develop efficient techniques.

The hardest part when you lead a team in a situation where we have no structures. The team becomes unmotivated and they think about giving up the job because a vision of the impossible is created.

My greatest act of leadership was to give hope and inspiration, but not only that but to give my energy and help them to solve the problems.

It's important when the leader really takes the leadership initiative. Just stay quiet when they're at work makes your leadership fragile.

I believe that this was the biggest difference, I gave my energy and myself  in every moment to help them

In Ecuador, the diagnostic and healthcare data collection is not digitized 100%. Officers and doctors have to guess action plans to attend the population. Our process has increased accuracy, created user friendly reports and created recommendations to support decisions in creating macro policies and plans on how to attend best and efficiently the population.

The way it has been done for many years is not structured and valuable data can be lost due the complexity and the large amount of data. 

We were able to innovate, understand the complexity and found out a way on how to translate and combine data to produce meaningful intelligence into the reports. Additionally, the system smartly has flexible process points where new inputs can be added. The data we use now about Amazon healthcare can be lost anytime or easily corrupted in the current process. By organizing it, we also keep history and a legacy. The same logic can be applied in other situations in future projects.

Our goal is to develop our services and make this information accessible to the public, develop partnerships and make our work recurrent for other partners.

This creates a chain of research and encouragement of studies in the Amazon area, bringing more visibility to minority groups and some, forgotten.

My theory of change is to develop this logical chain, where everyone can contribute and continue to perpetuate studies and change, as a network of inspiring young people who can provide information.

After these situations, the doctors were able to reinforce their actions in relation to the priority groups, with disabilities and they have been developing new plans for the contingency of other problems.

Recorded cases in the health care places → +30K cases analyzed

• 17K+ indigenous impacted with the analysis

• 4,5K cases studied of disabilities persons

• 3.3K of pregnant women's studies to prevent them in the futur

They are:

• To geolocate and catalog the healthcare data in details of 25,5K people(mostly indiginous) in the Amazon area.

• Doctors will have a system to input data directly

• To implement a data gathering and data mining system that will be fully automated allowing real time data to be used to detect pandemies and social problems before they raise.

• To provide an Open source database ready for researchers, universities, government and collaborators

• Through AI, it will be possible to develop fast studies of diseases and their respective growth

• Partnership with at least one known University in the Amazon area

• Expand this type of system to other Organizations and countries on demand

• Be fully compliant with the UN sustainable goals

Today the biggest limitations of the project are in the technological structures, which are:

- Datacenters

- IT software licenses 

- Infraestrucutre 

To address some of our problems with technological infrastructure and administration, we partnered with the company Crably based in Denmark. 

Crably.com is a organization /partner: It is a private company based in Copenhagen (Denmark) with 5 years experience in Data & Content management that has a Content and Software Development Platform to speed up the development, infrastructure and administration. It will be responsible for the project execution.

Same as i mentioned above, 

To address some of our problems with technological infrastructure and administration, we partnered with the company Crably based in Denmark. 

Crably.com is a organization /partner: It is a private company based in Copenhagen (Denmark) with 5 years experience in Data & Content management that has a Content and Software Development Platform to speed up the development, infrastructure and administration. It will be responsible for the project execution.

 Limitations were reached and it is necessary help from a strategic organization that has focused on data infrastructure, online content management platform, leadership and experience. The strategic partner will help in the expansion, consulting, technology, management and connection with the UN sustainable development goals.

Where: 

• Fabio Brito (Crably CEO): 7 years IT consultant in the public Danish healthcare system and 12+ business consultant.

Davi Thiesse (Crably CTO): specialized in system development and cyber security

Our goal is to receive a financing or award to expand operations in 24 months following the plan previously submitted.

With our results, we can make partnerships and contracts to implement our services in other countries and systems.

in averange (USD): 

- Team: 59,5k

- Datacenter:6,8k

- IT Software licenses: 8,8k 

- Other coasts: 13,6k

Because I want to be able to expand the project in Ecuador and also in the future, test the system in Brazil in partnership with universities in the Amazon.

I believe that the award can leverage the project to an indescribable level and the opportunity is unique.

With the growth of the data flow, we will need more people responsible for maintaining the data input software and we also need another big data scientist to cut the raw data.

We will need a marketing service to expose the work to other governments and also a specialized service to deliver all the work done to society, simple and information directly.

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