- James B. Erdmann Student Award for Excellence in Interprofessional Education and Collaborative Practice
Meet Danielle Kempner:
Why did you choose Jefferson?
I chose Jefferson for many reasons, such as the amazing reputation the university has within the field and vast networking opportunities that result from this reputation and resulting connections, high employment and NBCOT exam passing rates. The accelerated program at University of Delaware and Jefferson’s location made it rich with shadowing and fieldwork opportunities that may lead to potential job opportunities in the city.
Why do you want to be an occupational therapist?
Like most, I want to help people, but I would prefer to do it in a unique way that opens people’s eyes to the creative side of intervention, and would like to help implement a more innovative mindset into practice and intervention as a whole. I think OTs bring an outside-of-the-box mindset to any situation or team, so I want to help make this mindset more widely understood, since in the end it can be truly beneficial for the client. Ultimately, I want to be a clinician that others on my OT team or others within my interprofessional team can come to if they are stumped or need a creative solution, and I feel like no one is better equipped to do this than an occupational therapist.
What is the best part of your educational experience?
Personally, I truly enjoy opportunities to be a “maker,” so the classes we spent making adaptive equipment (like using tri-wall in our environments class) made me feel in my element. To further this practice, I have had the opportunity to partake in extracurricular activities making adaptive devices using 3D technology, and also competed in and won the Jefferson Hackathon invention competition along with some of my amazing OT classmates (Charlotte Seltzer and Ezra Lee). This one particular experience allowed us to put together a wide variety of concepts we learned from OT, and I think our success was routed in us being and staying so OT-minded from beginning to end while engaged in the competition.
What activities have you been involved in at Jefferson?
I am a member of the Student Occupational Therapy Association and the Autism Advocacy Group.
I volunteer as a research assistant in the Jefferson Health Design Lab. I work on adaptive device projects where my knowledge in disabilities can contribute to the project. For my elective in fall 2021, I took a 3D printing course and independently learned additional skills in 3D design and printing so that I can inform others and design adaptive devices for patients or groups that make design requests to the lab. I also help co-run social media efforts to highlight the work we do and the positive impact that 3D printing has in health care. I am currently a 3D printing consultant for Magee Rehab through the Health Design Lab.
Participating in the Jefferson Health Hackathon was an amazing opportunity and experience. I sought this out early when starting at Jefferson, and it was something I had been waiting to participate in for over a year. I knew this event would be one of the highlights of my time here at Jefferson, and that it was an opportunity to proudly represent occupational therapy and our program. I led a team that included two of my occupational therapy classmates, a computer science student, a recent mechanical engineer graduate, a marketing major and a PhD candidate specializing in aphasia studies. The competition was only a weekend-long event; thus, the entire project - from problem conception to solution design and pitch - came about organically within less than 48 hours. The question we asked ourselves was, How can we help people living with Dementia and communication difficulties maintain independence and enhance their quality of life in an accessible and intuitive way? Before we started brainstorming for a solution, we needed to recognize a large problem this population faces when it comes to resources and technology available to consumers: a majority of current solutions require new learning by the individual, which is something that is not just a challenge for this population, but a key aspect defining this disease. So, we geared our research and our “hacking” to help us assess just how to adapt communication styles during cognitive decline in a manner that would not require new learning, but rather would rely on machine learning.
Our solution was a wearable predictive language device called “PreDict-ionary,” that was tailored around Dementia-related communicative disorders, particularly, aphasia. Similar to how Amazon’s Alexa listens for a “wake-up word,” our device triggers word suggestions to popup on the wristband when a longer-than-normal pause or excessive filler words such as “um” or “uh” are detected. An earpiece collects data from the user’s typical speech and language patterns to develop a predictive language system that aids in word retrieval and communication. Word retrieval often becomes more difficult as the disease progresses, so using machine learning and the individual’s own speech patterns and vocabulary in natural language processing can aid the device to fill in those gaps down the road.
The device utilized concepts revolving around predictive language, artificial intelligence and machine learning and how it could be honed to aid in word recall for those with communication disorders. The end goal was to improve life quality by giving these individuals back their voice and providing a means for them to continue being heard. Similar to systems that exist when you type a text message, predicted or recommended words come to the top of the screen to help fill in gaps. While people use this feature for convenience, people with communication disorders may use this out of necessity. Someone who has barriers to communication may become embarrassed or frustrated, and, rather than working through word recall, they seclude or distance themselves from conversation. A device that can fill in communication gaps may be just what someone needs to reduce frustration and keep people more actively engaged in conversations. Being able to give them back this confidence is instrumental in prolonging independence and pride for individuals who just need that little extra push to be heard.
We were so excited when the “PreDict-ionary” device won 1st Place in the Data in Action: Patient Wearables & Devices track of the Health Hack!
This opportunity was not only unforgettable but also provided me with lessons I plan to carry along with me and utilize in practice. I truly believe that it was the OT-thinking minds and the very unique interdisciplinary team that made us so successful. I highly recommend participation in this competition!
What’s something people would be surprised to find out about you?
I have a patent and hope for many more. I am largely into inventing and research surrounding adaptive design and wearables. This has led me down an amazing path of inventing and has provided me a sense of purpose and fulfillment I was truly missing. My patent is for a wearable alerting device for ADL cueing tailored to people with dementia that I call CueMinder™.
I am the co-author of the chapter entitled “The CueMinder Project: Patient-Driven Wearable Technology to Improve Quality of Life,” published in Gargiulo, G. D. & Naik, G. R. (2021). Wearable/Personal Monitoring Devices Present to Future. Singapore: Springer (Read Full Article)