SURE(SHOT): YOUR MEDICAL SUPPLY CHAIN MONITOR, FOR YOUR PUBLIC HEALTH. Collective end-user verification+packaging for vaccine confidence.
Generating information to verify safe vaccine usage and supply chain, by collective end-user self-reporting, for end-user confidence.
Describe what you intend to do and how you'll do it in one to two sentences (required 350 Characters)
SureShot is an algorithmic verification tool for vaccine credibility furnished with end-user reported data via low-cost encrypted labels that connect users with individual syringe info, we the public develop our own data+trust-factors around medication.
Explain the innovation (2,500 characters)
Vaccination is one of the most effective tools against infectious disease and it is crucial to public health. However, there are increasing anti-vaccination movement and lasting misconception about vaccines globally (i.e., WHO reported a 65 per cent chance of getting problematic bacteria infection-related medicine and an estimated 30 billion market of counterfeit drugs in developing countries, 2017). Even in developed countries, there is critical medical information asymmetry among stakeholders. Systemically, the current vaccine supply chain lacks a holistic approach to detect counterfeit, contaminated, expired, and ineffective vaccines. At the personal level, an individual is concerned about what is injected into his/her body.
Currently, trust is most undermined in public health services in developing countries where public health literacy and the development of a medical supply chain are limited. In 2017, 80% of vaccines are delivered to these countries. Our product targets all vaccine consumers, to construct trust and help government bodies and manufacturers in monitoring the use of vaccines in developing countries and thus can be applied to the challenges of accelerating immunization efficiencies within highly urban populations in Gavi countries.
Our solution includes 2 parts:
1. (system level) An integrated label on the pre-filled syringes (PFS) to ensure safety along the supply chain;
2. (personal level) A mobile app for consumers to self-check & self-report the vaccine safety before & after the injection to build the public trust of vaccination in the community
The integrated syringe label contains 3 layers:
1. Algorithmic verification layer leveraging machine learning to detect the geo-location, related entries, and the medical provider information;
2. Thermochromic material layer helps determine if an individual product has a failure in cold chain;
3. Adhesive layer to make the label function as bandage after the injection to integrate the label into the natural injection process
The SureShot mobile app allows consumers to scan before injection to acquire information tracked on an individual syringe, self-check the integrity, and share/self-report the experience to the community/gov’t to build vaccine confidence at large scale. If issues are detected, the govt may take immediate actions by utilizing the self-reported data (i.e., flag affected medicines of the same batch).
Which part(s) of the world does this innovation target?
Tools for end-user confidence in vaccines is globally applicable, but especially important for countries currently transferring from donated vaccines to their own supply chain (e.g. Indonesia, Ghana, China).
Who will work alongside your organization in the project idea? (1,000 characters)
(1) Large Vaccine manufacturers that export vaccines to other countries, as they take responsibility in the transportation and QC of vaccines, and reclaim market values from counterfeiters. I.e. GlaxoKlein, which have already shown interest in vaccine label innovation.
(2) Local vaccine manufacturers, as developing countries have an interest in competitive vaccine manufacturing domestically.
(3) Governments, interested in effectively managing and responding to the crisis by tracing vaccination to a specific batch of the immunized population. E.g, via local hospitals in Southeast Asia encourage the adoption of the vaccine supply chain verification.
(4) General Public, to access information + participate in a better communicated collective reality
How is your idea unique? (750 characters)
This idea transfers existing strategies + well-understood tools from areas of "consumer confidence"/"banking confidence", and applies them to medical goods. I.e. the machine-learning algorithms similar to those used to detect credit card fraud can be used to query a "vaccine administration event" based on reportable data (e.g, location, date, lot-number, etc. in comparison to other data points) to develop an idea of a credible vaccine (e.g., one that is not counterfeit, expired, related to batches with cold chain failure or recall). Giving users an interface to their medical devices/drugs is an emergent and empowering trend. This approach generates data from users, and encourages incr. data sharing (transparency) between supply chain actors
What is the name of your organization
Explain your organization (250 characters)
We are MIT/U. of Hong Kong graduate students, from Bio-engineering, Design, Business, Public Policy disciplines. With core expertise and passion for public health, we want to source resources from within our academic community and industry network.
Type of Submitter
We are not yet a registered organization but looking for collaborative partners
University Students, Female co-led project team
Gender and Diversity (500 characters)
Our solution doesn't involve gender issues directly, all end users are treated equally
Organization Location (less than 250 Characters)
Cambridge, MA, USA
Size of organization (number of employees):
Scale of organizational work
Community (working within one or a few local communities within a region)
Tell us more about you
+Rachel Smith, MIT Media Lab (c.PhD), B.S. Biomedical Engineering. Experience in biomedical translation to the industry. Founded PhageFlag to develop a low-resource bacterial diagnostics. +Yujie Wang, MIT School of Architecture. Specialized in AI-IoT product design & dev and HCI. Co-founded Tagface to reduce food waste via smart price tag system. +Xiaoyue Gong, MIT Operations Research Center, c.PhD. Researches supply chain mgmt using algorithms, machine learning & optimization. Experience in healthcare-related social ventures. +Adolphus Lau, HKU, Urban Planning & Intn’l Dev. Develops community empowerment and economic reconstruction projects in China/ASEAN. As a team, we have a common passion for public health and community partnerships
Applying to Gavi INFUSE
Referred by a friend / colleague