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Treat People Better: The Future is Accessible, Verifiable Precision Drug Delivery
DescriptionNovel brain-targeted therapeutics and vaccines present a ripe frontier for the advancement of human health. Emerging treatments for cognitive disorders such as dementia and breakthrough mRNA vaccines lie within reach, but traditional routes of administration lack specificity and may be blocked by the blood-brain-barrier. Intravenous injections, for instance, are impeded by both of these hurdles, while conventional nasal sprays are poorly-suited to delivering formulations to targeted sub-regions of the nasal cavity and lack ergonomic support. Rocket Science Health is pioneering new methods of targeted nasal delivery that accommodate the full spectrum of anatomical variance and patient-abilities through an intuitive patient-first design approach.

The precision drug-delivery problem is further compounded by a resource-strained healthcare system, and the economic dimension must be carefully weighed. Devices designed for self-administration from the comfort of home are thus highly desirable as they reduce the burden on medical staff and provide patient agency, but patients battling addiction or neurological disorders pose serious risks of self-harm through abuse and misuse. Rocket Science Health is tackling this challenge by combining the best elements of its mechanical designs with a health software system to support medication adherence and patient-guidance.

Human-factor design principles play a pivotal role in our approach to this challenge. A solution might incorporate expensive high-tech features directly into a drug-delivery system to support a medication adherence program, but likely at the risk of confounding the patient. Rocket Science health has strived to maximize simplicity by keeping the device electronics-free and intuitive to use. We have developed a new proof-positive software system compatible with modern smart phones and tablets to solve the adherence problem. The system comprises a patient-facing app that exploits computer-vision to verify patient identity and guide patients through self-administration and capture and report dosing events, thus allowing caregivers to verify that the right person is taking the right drug at the right time.

This session will explore basic scenarios for patients drawn from the elderly, cognitively-impaired, and addiction communities. Workflows for devices and software will be explained. Risk-mitigation strategies to counter accidental or intentional misuse of the system will be described. Data integrity and privacy issues will also be discussed.

This presentation will showcase the new proof-positive software system via live demonstrations. Simulated clinical trials and at-home medication adherence environments will be highlighted. The focus will be on system aspects that empower patients with a wide range of accessibility needs while verifying patient identification, dose/device identification, and successful device actuation. Key factors such as system cost and scale for our computer-vision approach will also be discussed.

This demonstration will illustrate the important link between human factors and ergonomics in both the physical drug-delivery device and the software that supports it.

The software interface will be shown to:
• Continuously identify the patient and device in 3D space
• Track when the delivery device is inserted in the nose
• Provide positional guidance as required
• Detect actuation of the device while in the nose of the patient, confirming delivery
• Capture and report dose event data and evidence
• Integrate with and leverage patient management systems
• Offer an approachable, intuitive first-run experience
• Demonstrate user interface from different stakeholder perspectives

Detailed human factors aspects of the drug-delivery device will be shared. Treating people better requires deep consideration of a patient's entire sequence of actions, from unboxing a device to grasping it, aligning it, inserting it, and actuating it. This session will cover each of these tasks in detail.
Event Type
Poster Presentation
TimeTuesday, March 244:45pm - 6:15pm EDT
LocationRhinelander Gallery
Tracks
Digital Health