Fast Emergency Rescue Services (FERS)

A number of people have lost lives due to conditions such as high blood pressure, stroke, diabetes, cardiac disorders, outbreaks and accidents due to lack of access to basic emergency services. Variety of government ambulances with toll free hotlines are difficult to trace in case of need and therefore majority of accident victims are either ferried on police trucks or lorries, or use personal vehicles and motorcycles to reach health centres.

This is partially because of lack of technology implementation at ground zero. To address the issue, we are introducing smart and fast emergency rescue system.

The application collects location information from Global Positing System (GPS) hardware and uses Google Map Application Programming Interface (API) to plot details of the ambulances on the Google Map Client of the Smartphone App. The application will employ the same functionality to enables users to find the hospitals with the services of their interests. 

How many more lives will it take before they see any meaningful improvement in the Emergency Medical Service system?

Many Ugandans lose their lives in road traffic accidents, home emergencies, outbreaks, floods, fires, among other incidences due to lack of emergency services. The traditional alternative to accessing an ambulance is to cram a very long digit as a hotline only to find NO agent is picking up the call. Majority of the victims of the emergency cases are not aware of these hotlines and with the coming of private ambulances, access to emergency services has instead been hindered since they lack free hotlines.

Whereas emergency services are a necessity, the government has not put emphasis to scale and revitalize the sector. The V-VIPs in the country are ferried in helicopters which are expensive for the common persons. According to medicine, the first 3-7 minutes following an accident or emergency condition are very crucial to save the life of a human. Therefore, our project seeks to develop a solution that will track all ambulances both private and government in the country and link them to the public in a very short time.

The solution targets:

• Accident victims and survivors who are need of emergency rescue and referral to hospital. The application will, on request, locate the victims and notify the nearby ambulance in the area to be dispatched.
• Vulnerable persons such as deaf, blind and dumb who need location address in an area. The application through use of speech recognition feature together with advanced GPS, will track the individuals and direct them to their desired destinations.
• Persons with chronic illnesses such as cancer, diabetes, stroke, cardiac disorders and are in need of emergency services. The artificial intelligence will direct them the basic first aid and drugs to use in case they cannot be reached by rescue team in shortest time possible. The AI, through its built reasoning and problem solving capacity and knowledge representation of almost all diseases, will use fast and intuitive judgement basing on signs and symptoms to provide a differential diagnosis and a possible treatment option concerning the disease. This will assist care takers to buy medication as directed by the AI and administer to the patient as the emergency services are dispatched to the area.

Our design, the FERS is intended to put a face lift on the emergency system of the country through tracking, linking and channeling all ambulances to respective patients.

The system will be designed with a GPS tracking system to approximate the exact location of an emergency condition.The system will be capable of detecting voices and streaming them directly to service center for assessment of nature of emergency condition.

The system will also be capable of triaging cases (selecting from life threatening to urgent cases) in a scientific manner through employing the artificial intelligence function to save as many lives as possible with limited resources.

The system will work as a medical officer through the AI function and be able to direct use of locally available first aid means and drugs for patients who don’t require hospital admission.

1. In case the user is unconscious and cannot be able to hold on the app for long, a small tap of red button triggers automatic GPS location of the user and automatic video and camera streaming for internet based users. This GPS can provide offline information to our service centre to be able to dispatch the ambulance.  

2. In case the user can speak, upon clicking the red button, our assistants immediately call the victim to ascertain the gravity of the ambulance and dispatch a fully equipped ambulance to the area. 

3. Users have their data stored with us during sign up such that we can contact their close relatives in case of emergency. 

4. The AI interacts with users in need of emergency treatment and medication with known clinical history. It is the 3rd interface of the application. 

5. The offline mode of the app has resource files for users to access first aid tips to be able to help others in case of emergency.

Compared to the traditional methods of calling for emergency services, the FERS seeks to introduce an online and offline application that will not need require cramming of mobile digits to access the services. The service also seeks to reduce human interface in regards to offering rescue services due to disadvantages exhibited by humans such as being scared, biased, tiredness, not-working during night hours, among others.

The Fast Emergency Rescue Service is a digital mobile application with a unique artificial intelligence embedded system which can diagnose patients basing on their signs and symptoms that are fed in. The AI uses systemic algorithms and computational smarts to predict the correct dosage of a given condition and correctly prescribe the medication from a wide range of drug chest. This saves clinicians from cramming drug combinations and their dosages.

The FERS is an Internet of Things technology embedded in smart phones.   

The Fast Emergency Rescue Service is a digital mobile application/ software with a unique artificial intelligence embedded system which can diagnose patients basing on their signs and symptoms that are fed in. The AI uses systemic algorithms and computational smarts to predict the correct dosage of a given condition and correctly prescribe the medication from a wide range of drug chest.

The FERS is an Internet of Things technology embedded in smart phones to communicate efficiently between man and the machine. it employs sophisticated machine language and learning of basic human science to derive accurate statistics of events around.

Research from ministry of health Uganda has showed over 100,000 Ugandans lose lives due to lack of an established emergency rescue system. 

The Uganda police noted an annual mortality rate of 5600 persons due to road accidents. Most of these people died in transit as the means either delayed to dispatch them to hospital or the rescue means we're lacking in capacity. 

I expect my solution to provide an alternative to abscence of medical workers by providing medication to patients with medical emergencies. These can be at home, work or on travel. The AI will systematically evaluate the patient as i books appointment for the nearby doctor present and also dispatch an ambulance in case of need. 

We are currently serving an estimated 50 people per month using our mobile phones to link ambulances to them.

In one year, we will be serving an estimated 10,000 people using the application.

In 5 years, we estimate about 5 Million people.

I want to partner with various ministries of health in different countries to introduce a cross-border rescue mission. 

I want to raise more capital to introduce Drones for FERS. These drones will dispatch emergency drugs and kits to aid people that are in distant areas and cannot be accessed in one way or another. 

I want to I mobile emergency clinics to help the limited number of ambulances and health centres. The clinics will be in form of mobile vans that are periodically stationed in areas and only dispatched on call. The clinics will contain all basic requirements for emergency services.

1. Government policy that hasn't ventured in artificial intelligence as a system of providing health care.

2. Limited resources in form of equipment to launch my program.

3. Limited funds to acquire advanced technology and scale up with improvements.

I intend to do a pilot study of the project to prove the usefulness of the AI in healthcare support in Uganda. I will interact with various ministries including health and ict to improve sensitization about the system. 

I will partner with public and private sector to recruit more ambulances into the project.

I seek for funding from government and other institutes (including MIT), NGOs and donor agencies to promote drones for health project to scale up my venture.

NA

Sseremba Patrick- Full time founder, programmer and IT specialist

Kiggundu Henry- Computer scientist and programmer.

We possess the following skills that we believe will effeciently deliver the project to success:

1. Leadership skills 

2. Computer skills including, programming, computer science and networking.

3. Entrepreneurship skills. I have been involved in sessions of entrepreneurship will imparted me with knowledge of business.

4. I am a medical student hence possess medical skills.

5. Communication skills.

NA

MARKETING STRATEGY

         I intend to give tokens for referrals to use the application where people who refer others get rewards in using the AI powered mobile app.

         I will also engage in social media brand marketing on all digital platforms.

         I will partner with ministry of health and health centres to bring posters to communities about medical emergencies' campaign through early diagnostics and treatment by using the FERS. 

The need for flexibility in service delivery that overcomes geographic, temporal, perceptual, cultural, personal and other barriers to access emergency services in our application.

CUSTOMERS

• People who have access to digital platforms such as social media and smartphones.
• Vulnerable and hard-to-reach populations.
• Rural population.
• Urban slum dwellers.
• Schools and communities.

MARKET CHARACTERISTICS:

Individuals who possess smart phones to access the application. Persons with airtime to write short code SMS services.              

Revenue Model

1.         The mobile application will be a paid application on play store and IOS devices with a yearly renewable package. This will generate revenue for managing the software.

2.         The business will also attract a small commission from partner laboratories and hospitals for referring patients to them.

3.         Grants and donations from NGOs.

The business will have an estimated 60% gross profit in the first two years with a gradual increase to 80% in the next 5 years. The business will be accumulating an estimated $500,000 annual revenue

Gain access to funders to be able to scale up my venture.

Acquire technical skills through training from content experts at MIT to help advance my work.

Receive mentorship and strategic advice in entrepreneurship and sustainable development.

Gain social capital through networking with fellow entrepreneurs and global change makers.

Attract and create partnership with companies in technology.

NA

I would love to partner with Artificial intelligence firms around the globe. 

I would like to partner with drones making firms.

I would like to partner with health industry firms. 

My team will use the prize to set up the AI system, manage and monitor it and build and maintain it. 

We will use the prize to do research about current trends in AI technology and latest advances in machine learning. 

We would use the prize to form partnership with other associations and health sectors to scale up and implement our project. 

We would use the prize money for acquiring training and skills needed to advance our project to be used in whole of Africa. 

We would use the prize to open up regional offices and establish a competent and skilled team of multi-sectorial workers to implement the project. 

My team will use the prize to set up the AI system, manage and monitor it and build and maintain it. 

We will use the prize to do research about current trends in AI technology and latest advances in machine learning. 

We would use the prize to form partnership with other associations and health sectors to scale up and implement our project.

We would use the prize money for acquiring training and skills needed to advance our project to be used in whole of Africa. 

We would use the prize to open up regional offices and establish a competent and skilled team of multi-sectorial workers to implement the project. 

My team will use the prize to set up the AI system, manage and monitor it and build and maintain it. 

We will use the prize to do research about current trends in AI technology and latest advances in machine learning. 

We would use the prize to form partnership with other associations and health sectors to scale up and implement our project. 

We would use the prize money for acquiring training and skills needed to advance our project to be used in whole of Africa. 

We would use the prize to open up regional offices and establish a competent and skilled team of multi-sectorial workers to implement the project. 

My team will use the prize to set up the AI system, manage and monitor it and build and maintain it. 

We will use the prize to do research about current trends in AI technology and latest advances in machine learning. 

We would use the prize to form partnership with other associations and health sectors to scale up and implement our project.

We would use the prize money for acquiring training and skills needed to advance our project to be used in whole of Africa. 

We would use the prize to open up regional offices and establish a competent and skilled team of multi-sectorial workers to implement the project

My team will use the prize to set up the AI system, manage and monitor it and build and maintain it. 

We will use the prize to do research about current trends in AI technology and latest advances in machine learning. 

We would use the prize to form partnership with other associations and health sectors to scale up and implement our project.

We would use the prize money for acquiring training and skills needed to advance our project to be used in whole of Africa. 

We would use the prize to open up regional offices and establish a competent and skilled team of multi-sectorial workers to implement the project