Medbot
In the current state of our world, there has never been a greater need to build tools that benefit public health for elderly care. Half of the world’s population lacks access to essential health services such as family planning and immunizations, just one example of the unfair yet avoidable differences that exist in health systems worldwide. What does it mean to be aged 65+ in America and how can we build affordable, accessible, and high-quality health systems that serve everyone, everywhere?
- $3.8 trillion industry. Seniors represent 5% of the population yet 43% of healthcare spending
- Access to healthcare. 50% of seniors live in low density rural areas far from healthcare infrastructure
- Long wait times. Average 4-week medical appointment wait time from low doctor patient ratios
As the IoT market grows to $520 billion during the current state of our community during the global pandemic - there has never been a more important time to engineer medical devices for seniors aged 65+. Seniors who are more vulnerable to health conditions represent 5% of population yet 42% of the $3.8 trillion healthcare industry. These persistent inequalities exist both within and between countries, contributing to underserved communities such as ethnic minorities or refugees experiencing systematically worse health outcomes. For many seniors who live in low density rural areas, access to doctors is difficult and can takes on average 4 weeks in the United States. Nearly 100 million people are driven into extreme poverty each year due to health expenses. The pandemic has only further underscored and exacerbated these disparities.
Solving remote healthcare addressing a large medical issue in society which affects many people daily, yet is often overlooked. Medbot solution can potentially contribute to the improvement of the medical system. The solution is to build smart spaces for senior care aging in place with a focus on the following pain points.
- Autonomy - they want to stay independent with physical mental and financial freedom
- Safe spaces - reduce environmental risks and homes while supporting mobility
- Long-term health - identify health risks managed multiple medications and chronic illnesses
- Social connection - relationships with friends and family
MedBlock technology-based solution. Elderly care with AI-powered medical robots on the blockchain - the main barriers to adopting IOT technologies are security, ease of integration with legacy systems, and return on investment. Medbot addresses these concerns with the use of emerging technologies (computer vision, natural language processing, and blockchain) controlled via a web interface and a robots-as-a-service business model building an affordable, accessible, and high-quality health systems that serve everyone, everywhere
Seniors can connect to the internet and integrate with Medbot's advanced smart home technology with innovative use of AI-powered medical robots on the blockchain. Medbot is a solution for smart household aging in place environments by using Arduino IoT controlled by web and mobile interfaces. This exchange of medical information encompasses IoT technologies which include data, software, and hardware while addressing concerns regarding cybersecurity, coexistence, compliance, connectivity, and cloud to identify, monitor, and/or reduce bias in healthcare systems at all stages, from medical research up to the point of care
RFID sensors - location tracking for safety with checkpoints - locate missing items with software hardware connectivity IOT - MedBot Robot for home monitoring and medical alerts/notifcations
Computer Vision with Tensorflow.js with an automated pillbox fall detection, visual impairment aid, and remote medical diagnostics.
Natural language processing with Tensorflow JS and Open AI's GPT3 - speech recognition, text to command, voice activation, and a chatbot to combat social isolation.
Blockchain medical data with IPFS encryption - allows for data privacy and endpoint security. Considerations made for cybersecurity, compliance, connectivity while leveraging cloud technologies building trust to eliminate large differences in historical racism, exploitation, and ongoing bias contribute to communities of color while actively building, or re-build, trust and engagement between historically underserved communities and their health systems.
Seniors can connect to the internet and integrate with Medbot's advanced smart home technology with innovative use of AI-powered medical robots on the blockchain to prioritize a people-centered infrastructure that ensures essential health services, equipment, and medicines are more accessible and affordable for seniors who are often left out of the system.
Medbot is a solution for smart household aging in place environments by using Arduino IoT controlled by web and mobile interfaces. This exchange of medical information encompasses IoT technologies which include data, software, and hardware while addressing concerns regarding cybersecurity, coexistence, compliance, connectivity, and cloud.
As the IoT market grows to $520 billion during the current state of our community during the global pandemic - there has never been a more important time to engineer medical devices for seniors aged 65+. Seniors who are more vulnerable to health conditions represent 5% of population yet 42% of the $3.8 trillion healthcare industry. For many seniors who live in low density rural areas, access to doctors is difficult and can takes on average 4 weeks in the United States.
Team is motivated by personal experiences of caring for elders during covid19 and how difficult it was. From these experiences, we designed and implemented Medbot solution meaningfully guided by the communities’ input, ideas, and agendas. We have a diverse and inclusive team who care deeply about senior care with strong technical experience providing proximity to the senior communities we are serving.
Factors including populations who experience systematic, economic, or geographic barriers in terms of access to software and tech solutions for healthcare. As the software scales, it is important to make diversity, equity, and inclusion considerations with groups research design, implementation, and outcomes. This will ensure gender equity and the inclusion of other marginalized groups research design, implementation, and outcomes:
Female-led with a diverse representation in the founding team. We are dedicated to increasing the representation in STEM research. Collect sex disaggregated statistics, with gender-sensitive baseline
Youth STEM outreach programs to encourage young people from underrepresented communities to be interested in artificial intelligence and support development of a young class of future scientists through training and financing
Scale up and replicate successful programs to raise access to quality healthcare for everyone everywhere, including community-based programs like rare disease outreach; and advocacy for greater government allocation to healthcare interventions by strengthening partnerships, cooperatives and unions to promote collaboration for rare diagnostic community
Prioritize a DEI workforce which strives for equity, and respects, accepts and values difference by requiring all incoming employees to participate in DEI training session - Develop and manage review committee, made up of multi-disciplinary experts
Monitor surveys that include demographic information about users
Mentor and teach historically underrepresented groups with inclusive lesson plans inclusive of Indigenous education leaders to deliver proactive community-based outreach. Reduce barriers for Indigenous communities and financial obstacles faced by low-income by offering free software
Research how certain age-related illnesses will affect researching inequalities and/or underserved populations
- Build fundamental, resilient, and people-centered health infrastructure that makes essential services, equipment, and medicines more accessible and affordable for communities that are currently underserved;
- Prototype
MIT Solve seeks technology-based solutions and Medbot leverages machine learning and blockchain technology to solve a social impact problem.
Blockchain technology to store patient profiles within block ledgers to securely store all historical data about a patient like examinations, medical procedures, lab tests, and medications anywhere with the patient's permission. Medbot is built on top of blockchain for a secure way to transfer and centralize patient data to allow access to patient data for all certifies healthcare institutions and patients. Using blockchain encryption for data privacy and point security in order to protect personal identities online. Medical data remains secure and authentic, maintaining data integrity and a chain of trust with considerations made for the following:
- Prohibitive Production Costs
- Lack of needed technical talent
- Uncertain Data Security
- Lack of understanding of technology, capabilities, or limitations by investors, and the public
- Perceived High costs with cooling technology
- Security concerns especially with national security and encryption since we are working with healthcare data
Difficulties & Challenges faced during the design and/or development process
- Using tutorials for setting up Arduino IOT environment, creating sketches and hardware integration and the phone-Arduino link integration of IoT devices with legacy systems
- Fall detection binary image classification algorithm with tensorflow.js pose algorithms was hard to make
- Research more about healthcare privacy and legal regulations
- Doctors will get notified to respective patient via SMS or Mail
- Wanted to add Multilingual Support considerations for user experience and diversity and inclusion but ran out of time
- Setting up IPFS and Robonomics incorporating all the blockchain functions, methods, endpoints, requests, and responses from the Robonomics documentation.
- Learning about blockchain encryption with privacy sensitive bio-metric data.
- Business model (e.g. product-market fit, strategy & development)
Medbot's disruptive blockchain technology can help identify, monitor, and/or reduce bias in healthcare systems at all stages, from medical research up to the point of care.
RFID sensors with location tracking for safety with checkpoints. This feature locates missing items with software hardware connectivity IOT - MedBot Robot for home monitoring and medical alerts/notifcations. Each Medbot robot is connected to an arduino which can integrate with the web/mobile interface. Serverless IoT architecture includes tagging valuable objects with RFID tags to make them easily locatable this provides Peace of Mind as we're able to support independent living promoting safer more accurate remove healthcare for seniors. Arduino IOT hub integrated with ROS was required to run with audio and visual sensors. These sensors allow remote healthcare to be delivered to seniors from stakeholders.
Computer vision with three tensorflow models medical diagnosis and automated pill box and fall detection these features allow those with visual impairments to use their smart devices to navigate around their homes and will enhance the sight seniors already have. Computer Vision with Tensorflow.js with an automated pillbox fall detection, visual impairment aid, and remote medical diagnostics. Natural language processing with Tensorflow JS and Open AI's GPT3 - speech recognition, text to command, voice activation, and a chatbot to combat social isolation. Hardware is also attached to an audio sensor allowing for natural language processing capabilities liketext to command and a chat bot feature with voice activation powered by GPT3.
One of the main problems with remote medical healthcare is the way highly identifiable sensitive medical patient's data is stored. Instead of records in physical files, we have EPR - an Electronic Patient Record system. Blockchain medical data with Robonomics encryption on top of Polkadot and IPFS - allows for data privacy and endpoint security for controlling robotics from distributed clouds. Considerations made for cybersecurity, compliance, connectivity, interoperability, reliability, and single point of failure while leveraging cloud technologies. Blockchain technology to store patient profiles within block ledgers to securely store all historical data about a patient like examinations, medical procedures, lab tests, and medications anywhere with the patient's permission. Currently, most IoT and robotics applications are usually organized under a centralized cloud control. Medbot is built on the Ethereum blockchain for a secure way to transfer and centralize patient data to allow access to patient data for all certifies healthcare institutions and patients. Using blockchain encryption for data privacy and point security in order to protect personal identities online. Medical data remains secure and authentic, maintaining data integrity and a chain of trust actively building, or re-build, trust and engagement between historically underserved communities and their health systems.
The system of medical robots supports general sets of sensors and virtual devices that makes software-hardware interaction easy. The main barriers of adopting IOT technologies are security, ease of integration with legacy systems, and return on investment. Medbot addresses these concerns with the use of emerging technologies (computer vision, natural language processing, and blockchain) controlled via a web interface and a robots-as-a-service business model. This allows for decentralized cloud systems for robotics control on an open source Web3 platform. The existing public blockchain infrastructure and connects with Arduino's ecosystem. This enables the exchange of medical information between humans and robots for internet of things.
Blockchain technology to store patient profiles within block ledgers to securely store all historical data about a patient like examinations, medical procedures, lab tests, and medications anywhere with the patient's permission. Medbot is built on top of blockchain for a secure way to transfer and centralize patient data to allow access to patient data for all certifies healthcare institutions and patients. Using blockchain encryption for data privacy and point security in order to protect personal identities online. Medical data remains secure and authentic, maintaining data integrity and a chain of trust with considerations.
Medbot protocol, a peer to peer communication network is created for medical robot application. The peer to peer protocol and the use of smart contracts with uniform authorization protocols is transport agnostic allowing access to healthcare information for remote seniors. IPFS is a content-based distribution system and uses cryptographically verifiable hashes so this can store images like medical radiographs for medical diagonsis. This works by sending bio-metric data to IPFS and hash storing in chain options with nodes. Token-based authentication will help with security, where the token is a random IPFS hash assigned to the user and they can reset it at any point if it has been stolen. Allow the token to be passed in through the Medbot network. Each transaction must be signed by account's unique seed. It has two forms: Mnemonic that is human-readable and raw that is a sequence of digits and letters. By using smart contracts and Blockchain technology, it provides secure integration of IOT cyber-physical systems into the healthcare economy with seamless connectivity enabling distributed cloud technology for medical robotics to identify, monitor, and/or reduce bias in healthcare systems at all stages, from medical research up to the point of care.
Track quality of life in senior patients to ensure healthy lives and promote well-being for all at all ages helping support UN's sustainable development goals:
https://sdgs.un.org/goals/goal...
https://sdgs.un.org/goals/goal...
Medbot will be collecting biometric data evidence to demonstrate that therapy or a treatment is producing its effects and benefiting the patient. Leverage big data and analytics to improve healthcare. Assessment factors could include: number of jobs created, number of high-paying jobs, project-related revenue growth, etc.
Electronic health records (EHRs) Medical claims and billing Product and disease registries Patient-generated data
Technology advancements for smart environments of the future have helped us as a society grow more and more connected for seniors aged 65+. Seniors represent 5% of population yet 42% of the $3.8 trillion healthcare industry. For information encompasses IoT technologies which include data, software, and hardware, the market is around $520 billion. As medical investments scale, they will make remote healthcare more accessible for everyone.
Medbot's go-to-market strategy is Robots-As-A-Service being offered to seniors and healthcare professionals through a monthly subscription based model. The healthcare market includes health and wellness, home care, residential care, medical care. Individual members (seniors), family/friend caregivers, or personal care workers will be able to purchase the product. Stakeholders include manufacturers, medical distributers, group purchasing organizations, big pharma like pharmacies and drugmakers, and healthcare organizations like senior homes, speciality clinics, and hospitals.
- Request medical robot services with mobile application
- Service cloud connection
- Dispatches and monitors robots
The AI-powered blockchain technology means that it will get more powerful with user generated medial content in a peer to peer network. Enable medical robots to launch based on payment with our robots-as-a-service model. Medbot can be seen as a communication layer via arduinos that dispatches the robots when the customer pays. It merges the technical information in ROS that makes the medical robot move and financing information into a single instrument. While all the infrastructure that enables this to happen is fully distributed, cannot be censored or controlled by any single entity. This builds trust among the healthcare services, provide direct medical access via dapp connected to decentrailized sensor networks. Considerations regarding cybersecurity, coexistence, compliance, connectivity, and cloud with code efficiency were made as the number of users scales.
Track quality of life in senior patients to ensure healthy lives and promote well-being for all at all ages helping support UN's sustainable development goals:
https://sdgs.un.org/goals/goal...
https://sdgs.un.org/goals/goal...
Medbot will be collecting biometric data evidence to demonstrate that therapy or a treatment is producing its effects and benefiting the patient. Leverage big data and analytics to improve healthcare. Assessment factors could include: number of jobs created, number of high-paying jobs, project-related revenue growth, etc.
Electronic health records (EHRs) Medical claims and billing Product and disease registries Patient-generated data
Technology advancements for smart environments of the future have helped us as a society grow more and more connected for seniors aged 65+. Seniors represent 5% of population yet 42% of the $3.8 trillion healthcare industry. For information encompasses IoT technologies which include data, software, and hardware, the market is around $520 billion. As medical investments scale, they will make remote healthcare more accessible for everyone.
Medbot's go-to-market strategy is Robots-As-A-Service being offered to seniors and healthcare professionals through a monthly subscription based model. The healthcare market includes health and wellness, home care, residential care, medical care. Individual members (seniors), family/friend caregivers, or personal care workers will be able to purchase the product. Stakeholders include manufacturers, medical distributers, group purchasing organizations, big pharma like pharmacies and drugmakers, and healthcare organizations like senior homes, speciality clinics, and hospitals.
- Request medical robot services with mobile application
- Service cloud connection
- Dispatches and monitors robots
The AI-powered blockchain technology means that it will get more powerful with user generated medial content in a peer to peer network. Enable medical robots to launch based on payment with our robots-as-a-service model. Medbot can be seen as a communication layer via arduinos that dispatches the robots when the customer pays. It merges the technical information in ROS that makes the medical robot move and financing information into a single instrument. While all the infrastructure that enables this to happen is fully distributed, cannot be censored or controlled by any single entity. This builds trust among the healthcare services, provide direct medical access via dapp connected to decentrailized sensor networks. Considerations regarding cybersecurity, coexistence, compliance, connectivity, and cloud with code efficiency were made as the number of users scales.
Reach: Communication is the key to influence with connecting healthcare networks to underserved communities. Healthcare providers need to attract audiences who can make the most of your work or benefit from it. Effective coverage requires active communication within and outside the senior's normal network to obtain the best knowledge. This is why using machine learning with mobile technology and access to the Ethereum marketplace helps with increasing the seniors reach to create an improved healthcare environment.
Engage: Help the senior audience understand the healthcare research innovations by adapting relevance and pertinence to their needs and expertise. Ideally, the project will attract healthcare stakeholders to participate. Improved knowledge of technical best practices through extension and outreach to senior communities.
Change: The real impact requires changes-attitudes, practices, policies, processes and products. Medbot's business can help this process by establishing relationships with individuals and organizations that can conduct research like senior homes, government facilities, or palliative care centers.
Amplify: Change is the beginning of impact, but to achieve the size of the effect, a consensus must be reached on the effect. The use of advocates, cooperation and the media are the key to a major, far-reaching and lasting impact.
Policy: Strengthening of marketing and governance structures of senior cooperatives and unions. Advise and provide support to seniors to put in place efficient regulation and legislation to enable private-sector-led development of agribusiness. Build nationwide institutional capacity to develop and implement policy, as well as to monitor and evaluate gains in healthcare through relevant ministries.
All the code is open-sourced and easily assessible on github: https://github.com/lucylow/medblock. Refer to the technical architecture diagram for how the IOT application was developed.
RFID sensors with location tracking for safety with checkpoints. This feature locates missing items with software hardware connectivity IOT - MedBot Robot for home monitoring and medical alerts/notifcations. Each Medbot robot is connected to an arduino which can integrate with the web/mobile interface. Serverless IoT architecture includes tagging valuable objects with RFID tags to make them easily locatable this provides Peace of Mind as we're able to support independent living promoting safer more accurate remove healthcare for seniors. Arduino IOT hub integrated with ROS was required to run with audio and visual sensors. These sensors allow remote healthcare to be delivered to seniors from stakeholders.
Computer vision with three tensorflow models medical diagnosis and automated pill box and fall detection these features allow those with visual impairments to use their smart devices to navigate around their homes and will enhance the sight seniors already have. Computer Vision with Tensorflow.js with an automated pillbox fall detection, visual impairment aid, and remote medical diagnostics. Natural language processing with Tensorflow JS and Open AI's GPT3 - speech recognition, text to command, voice activation, and a chatbot to combat social isolation. Hardware is also attached to an audio sensor allowing for natural language processing capabilities liketext to command and a chat bot feature with voice activation powered by GPT3.
One of the main problems with remote medical healthcare is the way highly identifiable sensitive medical patient's data is stored. Instead of records in physical files, we have EPR - an Electronic Patient Record system. Blockchain medical data with Robonomics encryption on top of Polkadot and IPFS - allows for data privacy and endpoint security for controlling robotics from distributed clouds. Considerations made for cybersecurity, compliance, connectivity, interoperability, reliability, and single point of failure while leveraging cloud technologies. Blockchain technology to store patient profiles within block ledgers to securely store all historical data about a patient like examinations, medical procedures, lab tests, and medications anywhere with the patient's permission. Currently, most IoT and robotics applications are usually organized under a centralized cloud control. Medbot is built on the Ethereum blockchain for a secure way to transfer and centralize patient data to allow access to patient data for all certifies healthcare institutions and patients. Using blockchain encryption for data privacy and point security in order to protect personal identities online. Medical data remains secure and authentic, maintaining data integrity and a chain of trust.
The system of medical robots supports general sets of sensors and virtual devices that makes software-hardware interaction easy. The main barriers of adopting IOT technologies are security, ease of integration with legacy systems, and return on investment. Medbot addresses these concerns with the use of emerging technologies (computer vision, natural language processing, and blockchain) controlled via a web interface and a robots-as-a-service business model. This allows for decentralized cloud systems for robotics control on an open source Web3 platform. The existing public blockchain infrastructure and connects with Arduino's ecosystem. This enables the exchange of medical information between humans and robots for internet of things.
Medbot protocol, a peer to peer communication network is created for medical robot application. The peer to peer protocol and the use of smart contracts with uniform authorization protocols is transport agnostic allowing access to healthcare information for remote seniors. IPFS is a content-based distribution system and uses cryptographically verifiable hashes so this can store images like medical radiographs for medical diagonsis. This works by sending bio-metric data to IPFS and hash storing in chain options with nodes. Token-based authentication will help with security, where the token is a random IPFS hash assigned to the user and they can reset it at any point if it has been stolen. Allow the token to be passed in through the Medbot network. Each transaction must be signed by account's unique seed. It has two forms: Mnemonic that is human-readable and raw that is a sequence of digits and letters. By using smart contracts and Blockchain technology, it provides secure integration of IOT cyber-physical systems into the healthcare economy with seamless connectivity enabling distributed cloud technology for medical robotics.
- A new technology
- Artificial Intelligence / Machine Learning
- Big Data
- Biomimicry
- Biotechnology / Bioengineering
- Blockchain
- Internet of Things
- Robotics and Drones
- Software and Mobile Applications
- 1. No Poverty
- 3. Good Health and Well-being
- 5. Gender Equality
- 8. Decent Work and Economic Growth
- 9. Industry, Innovation, and Infrastructure
- 10. Reduced Inequalities
- Canada
- United States
- For-profit, including B-Corp or similar models
Factors including populations who experience systematic, economic, or geographic barriers in terms of access to software and tech solutions for healthcare. As Medbot's software scales, it is important to make diversity, equity, and inclusion considerations with groups research design, implementation, and outcomes. This will ensure gender equity and the inclusion of other marginalized groups research design, implementation, and outcomes:
Female-led with a diverse representation in the founding team. We are dedicated to increasing the representation in STEM research. Collect sex disaggregated statistics, with gender-sensitive baseline - especially senior women who are often "invisible" to the healthcare system.
Youth STEM outreach programs to encourage young people from underrepresented communities to be interested in artificial intelligence and support development of a young class of future scientists through training and financing
Scale up and replicate successful programs to raise access to quality healthcare for everyone everywhere, including community-based programs like senior care disease outreach; and advocacy for greater government allocation to healthcare interventions by strengthening partnerships, cooperatives and unions to promote collaboration for rare diagnostic community
Prioritize a DEI workforce which strives for equity, and respects, accepts and values difference by requiring all incoming employees to participate in DEI training session - Develop and manage review committee, made up of multi-disciplinary experts
Monitor surveys that include demographic information about users
Mentor and teach historically underrepresented groups with inclusive lesson plans inclusive of Indigenous education leaders to deliver proactive community-based outreach. Reduce barriers for Indigenous communities and financial obstacles faced by low-income by offering free software
Research how certain age-related illnesses will affect researching inequalities and/or underserved populations
Software as a service subscription model where technology advancements for smart environments of the future have helped us as a society grow more and more connected for seniors aged 65+. Seniors represent 5% of population yet 42% of the $3.8 trillion healthcare industry. For information encompasses IoT technologies which include data, software, and hardware, the market is around $520 billion. As medical investments scale, they will make remote healthcare more accessible for everyone.
Medbot's go-to-market strategy is Robots-As-A-Service being offered to seniors and healthcare professionals through a monthly subscription based model. The healthcare market includes health and wellness, home care, residential care, medical care. Individual members (seniors), family/friend caregivers, or personal care workers will be able to purchase the product. Stakeholders include manufacturers, medical distributers, group purchasing organizations, big pharma like pharmacies and drugmakers, and healthcare organizations like senior homes, speciality clinics, and hospitals.
- Request medical robot services with mobile application
- Service cloud connection
- Dispatches and monitors robots
The AI-powered blockchain technology means that it will get more powerful with user generated medial content in a peer to peer network. Enable medical robots to launch based on payment with our robots-as-a-service model. Medbot can be seen as a communication layer via arduinos that dispatches the robots when the customer pays. It merges the technical information in ROS that makes the medical robot move and financing information into a single instrument. While all the infrastructure that enables this to happen is fully distributed, cannot be censored or controlled by any single entity. This builds trust among the healthcare services, provide direct medical access via dapp connected to decentrailized sensor networks. Considerations regarding cybersecurity, coexistence, compliance, connectivity, and cloud with code efficiency were made as the number of users scales.
Business model
- Software as a service a 3 tiered model
1. Fee-per-study
o Low entry price
o Clearer ROI
o Not tied to specific healthcare provider
o Closely align cost to use
o No product training required
o No additional resources required
2. Annual subscription with maintenance contract
o Minimum capital investment
o More affordable with a predictable payment schedule
o Flexibility - add/remove senior patients as needed
o Set price is easier to budget for
o Software is always up to date
3. Perpetual lisence with maintenance contract
o Lowest total cost of ownership over the long term
o Software is not "cut off” when subscription expires
o Specific to farm building long term data
o Vendors are more accountable
For healthcare businesses, disruptive technology can drastically lower the cost of saving lives. It is an improvement in functionality, cost or performance over an existing technology/process that is considered state-of-the-art or the current industry best practice.
Individual consumers or stakeholders (B2C) primarily providing products or services directly to individuals, to other organizations, or to the government.
- Organizations (B2B)
Technology advancements for smart environments of the future have helped us as a society grow more and more connected for seniors aged 65+. Seniors represent 5% of population yet 42% of the $3.8 trillion healthcare industry. For information encompasses IoT technologies which include data, software, and hardware, the market is around $520 billion. As medical investments scale, they will make remote healthcare more accessible for everyone.
Medbot's go-to-market strategy is Robots-As-A-Service being offered to seniors and healthcare professionals through a monthly subscription based model. The healthcare market includes health and wellness, home care, residential care, medical care. Individual members (seniors), family/friend caregivers, or personal care workers will be able to purchase the product. Stakeholders include manufacturers, medical distributers, group purchasing organizations, big pharma like pharmacies and drugmakers, and healthcare organizations like senior homes, speciality clinics, and hospitals.
- Request medical robot services with mobile application
- Service cloud connection
- Dispatches and monitors robots
The AI-powered blockchain technology means that it will get more powerful with user generated medial content in a peer to peer network. Enable medical robots to launch based on payment with our robots-as-a-service model. Medbot can be seen as a communication layer via arduinos that dispatches the robots when the customer pays. It merges the technical information in ROS that makes the medical robot move and financing information into a single instrument. While all the infrastructure that enables this to happen is fully distributed, cannot be censored or controlled by any single entity. This builds trust among the healthcare services, provide direct medical access via dapp connected to decentrailized sensor networks. Considerations regarding cybersecurity, coexistence, compliance, connectivity, and cloud with code efficiency were made as the number of users scales.
I believe the time, money, and effort associated with these risks will be worth it because the return on investment for helping seniors will outweight these risks. Funding from MIT Solve's Horizon Prize would help with the minimal viable product research and development of Medbot helping senior citizens everywhere.