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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.

Photo of Yujie Wang
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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?

  • North Africa
  • Eastern Africa
  • Middle Africa
  • Southern Africa
  • Western Africa
  • Eastern Asia
  • South-eastern Asia
  • Southern Asia

Geographic Focus

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).

Stage of Innovation

  • Blueprint

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

N/A (MIT)

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

Organizational Characteristics

  • Female-led organization
  • 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):

  • Less than 5 people

Website URL

N/A

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

  • OpenIDEO Website
  • Referred by a friend / colleague

1 comment

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Photo of Manisha Laroia
Team

Hi Yujie Wang 
As the challenge is coming to a close, please make sure you have answered all the questions in the Public and the Privately Submitted section.

A few general pointers you should check for in your final submission:
[1] How your innovation solves the challenge problem?
[2] Working of your prototype and its pilot stage?
[3] Does the solution fit in the highly mobile urban settings and how it can prove to be low cost?
[4] How the solution caters to the gender equity by having an inclusive approach?
[5] About your team and your working relation with your partners?

The submission deadline is 5pm PST on Wednesday April 10th/ 1:00am CET on Thursday April 11th.
Feel free to make the necessary changes to your application and hit the submit button before the deadline.

All the best!
OpenIDEO Community Team