EpideMed

Shareable patient managed health care record repository which would enable physicians to collaborate cross institutions. The project will use tools like AI for community analysis as well as radiology diagnostic and location tracking when permitted to better managed outbreaks through populations so that only people that truly need to be quarantined are so.

Currently there is unclear ownership of patient medical data which leads to the following problems.

• Patients have limited freedom of choice of Practitioner
• There is no universal metric for physician quality measure
• It is currently tough for physicians to collaborate
• Lack of patient participation and provider accountability
• It makes it hard for people to follow the tracks of contagion pockets
• It makes it hard for technicians to promptly diagnose potential cases

EpideMed is an application of Incognimed, an online medical record hosting service built on a JS and IBM Cloud platform that will allow physicians and medical staff to collaborate and keep track of their patients’ information while keeping their identity hidden. This will be completed by using IBM cloud API such as blockchain, analytics, and Kaggle Data for predictions. All this would be applied right now to quickly diagnose pneumonia from XRays and when connected with other apps which allow accessing location history if permitted would help practitioners pinpoint potential areas of contagion for the current Covid19 Crisis.

This project was developed as a tool for managing and organizing medical digital records, with the capability of sharing them while keeping the patients’ information safely hidden so that medical staff can use them for collaboration, recruiting, learning accountability, and credibility. Even though there are multiple managed records hosting services online, there is a lack of focus towards the global medical community as an institution agnostic where professionals learn across borders.

This project is targeted and tailored to small healthcare businesses and hospitals in mind, which conform the majority of providers in a global scale. There are numerous market segments which could utilize such software as detailed below.

• Approximately 30 Million diagnosed with a rare disease in the United State who would use a reliable collaborative case method for treatment and bettering life.
• 50,000 Medical Students in the United States who could learn from previous global case studies and build measurable track record to show off skills

Enabling physicians to collaborate would advance the medical industry into the future by allowing better global communication and mutual support among professionals. Diagnostics would take less time; they would be more precise and reliable with Watson. A platform such as this one would help physicians diagnose patients for complex cases, rare diseases, or uncommon illnesses. It would also allow physicians to showcase their skills, talents, and ability to prestigious institutions and patients. Thus, increasing accountability, feedback among professionals, and sharing of knowledge, such as Github did for the Computer Science Community.

We are aiming to integrate multiple tools in novel ways so that a comprehensive solution can be achieved.

We would be focusing on a JS App integrating with several APIs that leverage location tracking, AI diagnoses, all in the cloud.

There are similar projects in the works, including MIT's one, this one will just be an integration of multiple. 

Being able to promptly diagnose cases by physicians and technicians will allow to properly identify cases and potential contagion pockets through their location history.

Once all this information is well kept in a standardised and shareable manner then it can be used for proper community learning, and follow up to contain potential outbreaks before they go out of hand.

None, it will all depend on the acceptance and support we manage to get developing it. 

Finish the product, implement it, improved it and expand the reach through it and complimentary solutions

Lack of funding leading to slow development with a small team and tiny target market

By partnering with more organisations and exposing ourselves to more opportunities for growth.

It is a FL LLC.

2 Individuals full time doing multiple roles.

Our team is a great one for this challenge for our strong educational background, and diverse experience working with practitioners and hospital management. The team is composed of Dorita Baldizon, who has a strong background in accounting and marketing from Boston College and worked with EY for a year, and me, Roberto Baldizon. I have personally studied at the postgraduate level Hospital and Healthcare Systems management in Georgetown and Incae, as well as worked with my father in his small hospital in rural Guatemala. I am passionate about technology, which drove me to learn to code at a Berkeley. 

GAN community, IBM, MongoDB, and the like, we seek their help and resources for building better solutions faster at lower costs.

As of now we won’t start selling yet, but reaching out to test our market assumptions, for now the target is a small medical practice with a Medical Record Hosting Service in use most often means that they are spending an incredibly high amount on annual software licensing and renewal fees and usually an additional fee on one of the software's subscription tier packages (the latter either as a month-to-month expense or as a single yearly fee). 

Acquiring a Medical Record Hosting software for a medical practice is very expensive which is why we created Incognimed to serve as an alternate solution to the big names in software in use by medical giants. Offering our software at an affordable price aids small healthcare companies with the tools for making better operational decisions and granting those companies access to a solution in efficient clinic and patient information management.

Other User cases which will help define customers such as academia and students are detailed as follows. 

• • Medical Students who seek to learn and build measurable track record. 
  • Healthcare providers who seek to collaborate and treat new patient segments.
  • Expats & Travelers who have chronic conditions or rare diseases who might need treatment abroad. 

We would seek selling subscriptions for our services to provide our solution to as many as possible.

To seek potential partnerships, be it through funding or potential team members joining us in building it.

We need to finish the product and then market it appropriately.

Partnering with MIT and their projects that are aligned to this one could help us integrate with them and narrow the focus to meet our goals and properly deploy a solution that would bring the greatest value to all.

We are working in a small private hospital in rural Guatemala while working on this solution which increases the likelihood of complications if the outbreak impacts the community massively quickly.

We are looking to use algorithms to help in quickly diagnosing potential cases in a massive scale.