Authors

# Inspiration: THE PROBLEM INDIA FACES: India is in a Complete #Lockdown21Days, maybe longer. If there were to be surge of cases of COVID-19, the limited health care resources would be overwhelmed. There is just no way that efficient screening, evaluation and testing can be done with conventional means available at our disposal. There would be rapid Community spread and hospitals will be overwhelmed risking lives of health-care workers.

What it does:

Our primary objective is to help public health authorities at the national, regional and community levels by identifying who is most vulnerable. The solution could help the government plan "Containment Strategies" and prepare necessary resources to tackle any emergent situation on a war footing. The Solution Facilitates: 1) Control the likelihood of Community Spread of Covid-19 by Community Surveillance, Tracing Contacts, Screening to facilitate Testing of suspects and Tracking of quarantined population (ALL IN ONE -presently there  isn't a Single comprehensive  App that captures all those  features into Single System Solution. Moreover unlike presently existing Apps, COSET would be uniquely integrated into a centralized data storage on Cloud for future referencing of health parameters). 2)  Reduce the strain on healthcare facilities  to deliver the right care for patients during the COVID-19 pandemic. Screening COVID-19 cases in catchment area remotely and tracking patients with mild symptoms remotely as well while at same time Protecting health-care workers from getting exposed to infection. 3) By working with external call centers, it  will allow users to do initial screening remotely without needing them to travel to primary healthcare, thereby maintaining Social Distancing, avoid Overcrowding at city hospitals and at the same time protect healthcare workers from getting infected. It'll also helps reduce the number of unnecessary consultations while focusing on those patients for whom care is a necessity and also. 4) The dashboard gives you the means to gain an overview of the current situation in your area.  5) IMPORTANTLY promotes the sharing of expertise and resources between the advanced COVID-19 diagnostic center in a major tertiary city hospital and primary health centers in villages and district hospitals in tier II cities of India at remote locations. This will further help REDUCE COMMUNITY SPREAD of COVID-19.

All.this is  accomplished by simultaneously transmitting patients symptom, diagnosis report and images from a medical system, camera video images and audio over a high bandwidth network link between two locations.

How I built it:

The solution is the design of a telemedicine system integrated with a personal assistant mobile application into a centralized data storage on the cloud to manage the possible spread of the pandemic,  FIGURE 1: System design of COSETS Telemedicine: audio/video for live patient engagement, clinical documentation management, Electronic Medical Record (EMR), scheduling and collaboration. COSETS is an expert telemedicine system that has Lab Test capture mechanism, processing units, data communication networks, and medical service servers. As shown in Figure 1, the Lab Test capture unit are responsible for obtaining the diagnosis data and patient’s symptom and transmitting it to the data processing unit.   the next stage, for the collection, processing, analysis and encoding of data to be sent to the communication layer, the storage layer of each laboratory test capture system is usually connected to the processing unit. The processing unit will determine the state of the patient and the patterns in the medical condition. In recent telemedicine studies several medical algorithms have been developed to aid in the diagnosis of patients. Telemedicine systems can be divided into two operating modes: real-time mode in which patient data is accessible on the server immediately after delivery, and storage mode in which data is retrieved at a later date. For both modes the diagnosis data are transmitted to the server by computer networks, wireless networks, mobile data networks, or cable television networks. For such system, a medical specialist is required at locations where he / she can use a computer to access the server to interpret the symptom and lab test data, and the patient is confined at a fixed location such as a home or primary healthcare center where a computer or mobile phone is designed to transmit these data. FIGURE 2: The architecture of the proposed system Personal Assistance Mobile Application: The mobile application was developed using the symptoms and testing assessment tools for COVID-19. This is a questionnaire-based classification for suspected COVID-19 patients using an artificial intelligence (AI) based algorithm. The AI algorithm classifies the suspected patients into mild, moderate or severe. The application was developed using the rapid application development (RAD) process. Using this software development methodology, the processes of development are divided into three main phases: prototyping, development, and deployment. Upon completing all the development steps, the software was then uploaded to the Play Store. When the personal assistance mobile application was released in the Play Store, users could download it and install it on mobile phone. The application was designed to save electronic health record data with storage space in the cloud database. Therefore, questionnaire data and user’s response input into the system is available to primary healthcare center and specialists at tertiary hospital.

Challenges I ran into: Colllaborative process to generate ideas and planning the solution of the issues identified during crisis phase. The planning phase involved finding the telemedicine solution to the healthcare access and medical facility shortage problem in remote and suburban primary care hospitals, establishing the collaboration, and preparing an action plan for implementing the telemedicine solution.

Accomplishments that I'm proud of: The project was shortlisted in top 300 solutions among 2,500 entries and 15,000 participants in the recently held hackathon – Garage48 “Hack the crisis in India” organized by the Ministry of Electronics and Information Technology.

What I learned: One never knows how much can be achieved unless one Keep challenging oneself. It is important to delegate duties. Team Work is the backbone of success.

What's next for COVID-19 Screening & Evaluation Telemedicine Service COSET.

Nationwide Implementation as well as in other Low & Middle Income Countries (LMIC) with limited health-care resources and remote distant locations alonwith the intervention and collaboration of the respective government. We have initiated a talks with public health care authorities in Mumbai as also  with WHO Member and Member of Cenral Advisory Board, Government of India.  ultimate Goal being Subsidizing "HEALTH FOR ALL".

Hackathons

Devpost Software Identifier

259318