Remote Ward Round (RWR)

Remote Ward Round (RWR) solves the problem encountered in hospitals when doctor is not physically present to attend to patients. Doctors, from anywhere and anytime, can use this IoT-based solution to monitor the health status of their patients over the internet.

RWR  is a wearable IoT-based device that comes with a web app: mobile and desktop. The device measures body temperature, heart beat rate and other body parameters and uploads data to the app. Doctors can log into patients' profiles to check their health status.

If scaled globally, this solution will reduce mortality rate by up to 95% and enable medical practitioners to effectively monitor and treat their patients.

The problem being solved is that faced by patients when doctors are not physically present to attend to them.  In some hospitals, emergency case arises in ward and people start shouting, calling the doctor's attention and sometimes, the doctor is not around. With this solution, doctors get notifications when body parameters like temperature, pulse rate, etc cross preset thresholds. Doctors can log in to check health status of their patients.

In our country (Nigeria), this is a huge problem and a great number of persons are affected. In urban areas, where there is usually internet connectivity, this solution will be so beneficial in promoting physical and mental health.

We are directly and meaningfully working to improve lives of urban residents by using this solution to help them access better medical care. They need to be attended to as soon as possible when they need medical attention; and that is what this solution offers. 

This solution called RemoteWardRound (RWR) as the name implies, enables doctors to log in and check the health status of their patients. The device is a wearable IoT device that can measure body parameters such as temperature, pulse rate, etc and upload data to a web based desktop/mobile app for observation from anywhere in the world. The device accesses the internet via GPRS technology. It uses LM35 temperature sensor to measure body temperature; uses pulse sensor Amped to measure heart beat rate and uses other sensors for other parameters. The web app was built with a combination of html5, CSS, Javascript, sql, etc.

This solution involves disruptive innovation, in which new technologies and processes were applied. Materials used to build the gadget where locally sourced from Nigeria.  

The solution is an IoT-based system that combines a hardware and a software to achieve the goal of remotely monitoring health status of patients. The device uses sensors to measure body parameters, connects to internet via GPRS technology using SIM card and uploads captured data to a software that was developed with combination of html5, CSS, javascript, etc.

I expect the solution to solve the problem because the device effectively measures body parameters, effectively connects to internet and successfully uploads data to the software for monitoring. This means that doctors can monitor patients from anywhere they are and be able to attend to them effectively and efficiently.

Now: 2

In one year: 5,000,000

In 5 years: 20,000,000

Since we have made prototype for the solution and now validating the idea, by next year we hope to have the solution deployed all over Nigeria and Africa; and by next five years, we hope to have the solution deployed all over the world to touch lives and make everybody, especially urban residents, have good mental and physical health.

Our specific barrier for now, is lack of financial support. No much capital for expansion. Others are:

Limited partners

Limited mentors

We are seeking financial support from government agencies and investors. These funds will enable us buy more tools, rent wider office/factory space, etc.

We are seeking for more partners.

We are seeking for more mentors.

Full-time staff: 2

- Sept. 2017 to date: TELNET (Nig.) Ltd, Lagos, Nigeria.

     Responsibility: Software and IoT engineer.

- Feb.2017 - Aug. 2017: Centre for Technology Innovation (CTI), Lagos,       Nigeria.

     Responsibility: Power systems engineer. I developed electronic modules         for a couple of projects, such as:

• Solar-TEG hybrid power system.
• Zero-electric air conditioner (ZeAC): www.zeroelectricac.com and ChannelsTV broadcast

Oct. 2015 – Oct. 2016: Evatronics Enterprise.

Responsibility: Electronic Engineer. I designed and constructed a couple of machines and developed softwares. Some of these works can be found on My Facebook link and on my Youtube documentary. 

We partner with IK components ( https://ikcomponents.com.ng/ ). They supply us materials and electronic components. 

We partner with Hub 360 (https://hub360.com.ng/). They also supply us materials and electronic components.

Our key customers are hospitals and clinics. We sell Remote Ward Round (RWR) to them and they use it to monitor health status of their patients remotely.

For advertisement, we use instant advertising through social media, we use word of mouth when we pay them visits, we use radio and television medium, we use posters and flyers.

We also use Freemium/subscription model for the app. They subscribe annually to keep having access to the portal from where they monitor the patients

Through trainings

Through sale of products

Through consultancy service

Through repair and maintenance work

Through grants

Through investment capital

Access to mentors and experts to help validate and scale our solution

Funding

In-kind resources

Partnerships

Patrick J. McGovern Foundation

General Motors

Vodafone Americas Foundation.

CrowdSolve Global Challenges

General Electric (GE)

Our Remote Ward Round (RWR) solution will involve AI module so that the system can attend to patients on its own using information gathered through machine learning and artificial intelligence.

We would use the prize to advance our research and iterations. We would buy more tools for our laboratory, scale up our business and make the solution available to all.

We would use the prize to advance on the AI segment of our solution to enable the system properly attend to patients with the knowledge it has acquired through machine learning and artificial intelligence.