Nicola Dell, assistant professor at the Jacobs Technion-Cornell Institute and a member of Cornell’s Information Science Department, is the recipient of the National Science Foundation’s Faculty Early Career Development (CAREER) Award. This five-year, $550,000 grant will support her continued research into the privacy challenges faced by novice technology users in non-Western contexts. The goal of this research program is to collect empirical data to provide a deeper understanding of people’s usage patterns, privacy concerns, and priorities, analyze the data to generate privacy threat models, create technical interventions to improve digital privacy, and integrate these research efforts into a broad set of education and outreach activities that amplify the project’s impact on academia, industry, and society.

Xiao Ma is a PhD candidate advised by Mor Naaman and a WiTNY PhD Fellow. Prior to Cornell Tech, she received a Bachelor of Science in Electrical and Electronics Engineering from Peking University.
What are you currently working on?
I’m currently working on understanding and improving the trustworthiness of online marketplaces photos through computer vision. Ample previous work has shown that photo quality plays an important role in trust and sales of products, and digital photography is a hundred-billion-dollar business.
What we are seeing, however, is an increasing amount of user-generated photos (through their mobile phones) and it’s quite noisy. Using computational ways to automatically improve the quality of these images could contribute to the continued growth of peer-to-peer marketplaces.
What excites you most about your current research?
Being able to combine computational methods with social sciences excites me. Computational social science is a new field gaining significant importance. Industry-wise, talents who are technically sound and able to apply state-of-art technologies to social problems are also increasingly in demand.
Why did you choose Cornell Tech?
Cornell Tech was a unique place where I can stay in touch with the topics I was interested in — entrepreneurship — but focus and dig deeper into research and hone an expertise in an emerging field.
How do you think Cornell Tech differs from traditional academia?
I don’t think Cornell Tech differs in terms of research that much from traditional academia in terms of the rigor that is required for good research. But the research topics might lean more towards ones with real-world impact — a selection bias perhaps for the types of faculty and students Cornell Tech draws.
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Highlights From Spring 2022!
How does a drone become a drone? Prototyping… where thinking becomes doing. Discover the tools, methods, and disciplines behind prototyping with host Jonathan Morgan as he dives into epic stories of prototyping success and failure. In this week’s episode he’ll speak with Wendy Ju, Associate Professor of Information Sciences at Cornell University, who has worked extensively in the research and design of autonomous vehicles and robots.
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(Almost) Everyone Likes a Helpful Trash Robot
Yoav Artzi, Nicola Dell, Deborah Estrin and Thomas Ristenpart were recently selected to receive Google Faculty Research Awards. From over 1,000 proposals, 152 projects were chosen to receive grants from Google to support their research in human-computer interaction, machine learning, machine perception, and systems.
According to a release from Google, these grants “cover tuition for a graduate student and provide both faculty and students the opportunity to work directly with Google researchers and engineers.”
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(Almost) Everyone Likes a Helpful Trash Robot
Cornell Tech @ Bloomberg: Women In Venture Capital Panel
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Cornell Tech @ Bloomberg, Business, New York City, Women in Tech

At the recent Cornell Tech @ Bloomberg speaker series, a panel of women Venture Capitalists from some of New York City’s top firms joined Bloomberg journalist Scarlet Fu to discuss the gender gap in technology and venture capital.
The panel featured Rebecca Kaden, partner at Union Square Ventures, Beth Ferreira, managing director at FirstMark Capital, and Ellie Wheeler, partner at Greycroft.
Top Quote:
Greatest Insight:
Being dependent on one platform —whether it’s Facebook or Google— could affect consumer brands (changes in their algorithms can sink a startup).
Inside the Interview:
In the audience question portion of the panel, one woman asked the panel: In terms of your portfolios, what percentage of female entrepreneurs are working with a strategic differentiation in terms of machine learning models…and how does that affect valuations?
“We’re not believers that a lot of companies are machine learning companies in the core function of what they’re doing, but a lot of our best companies have a machine learning capacity that they’re using as a kind of weapon in their market,” Kaden said, going on to estimate that their female founders probably make up a fairly high ratio of those companies.
Wheeler compared the current discussion around machine learning to the talk in 2008-09 when everyone thought mobile was a vertical, when in reality it turned out to be something every company needed to pay attention to.
Go to 59:35 in the video for the panel’s full response to the question.
Top Tweet:
‘When #startup is #pitching I intentionally push back to see how they interact – do they get defensive or can we have an intelligent, constructive discussion. It’s not what you say, it’s how you say it’ #CTechBBG @TechAtBloomberg#WomenInTech pic.twitter.com/LRFWW5RBRg
— Pauliina Jamsa (@pauliinajamsa) March 1, 2018
Photo and video courtesy Bloomberg LP.
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Could This Smart Patch Help People Finally Get a Good Night’s Sleep?
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Sleep should be a time to recharge, be comfortable, and dream, yet nearly one in five Americans suffer from a chronic sleep disorder that prevents them from restful slumber. It is a problem that TATCH, a Runway Startup Postdoc Program company at the Jacobs Technion-Cornell Institute, is keen to tackle and their innovative solution could bring relief to millions of troubled sleepers.
The negative health effects of poor sleep are well documented, said CEO and Startup Postdoc at Runway and Elisha M. Friedman Postdoctoral Fellow, Dr. Amir Reuveny. If you have a sleep disorder, your risk of developing diabetes can be up to three times higher than normal and the chance of having high blood pressure can be up to four times higher.
Further, sleep deprivation and disorders are estimated to cost the economy over $400 billion annually due to factors such as accidents and loss of productivity. And, of course, disturbed sleep can have a serious effect on a person’s emotional and personal life.
Perhaps most surprising, most people who suffer from sleep deprivation and sleep disorders are undiagnosed, “It was really staggering for us, why such a huge epidemic is left with so many underdiagnosed and untreated patients,” said Reuveny.
Reuveny, who studied imperceptible electronics and earned his PhD from Tokyo University, was drawn to the problem not least because of the sheer scale of it, but also for personal reasons: his own father, he said, hasn’t had a good night’s sleep in more than twenty years.
The other members of the team are: CTO, Ahud (Adi) Mordechai; data products consultant, Noam Schwartz; and sleep specialist, Stephanie Zandieh. They talked to dozens of sleep physicians and technicians in a bid to understand how the process and economics of sleep diagnostics currently work, then they set about improving things.
The existing diagnostic procedure is labor-intensive and expensive, making it inaccessible to many people. It is also cumbersome and unpleasant; sleep labs haven’t changed much since the 1970s, said Reuveny, “You sleep outside your house. You are wired to 10-20 different electrodes. People are watching you, monitoring you during the night.”
While home diagnostic tests are cheaper ($200 per night compared to $1,000-$5,000 in-lab) there is still a lot of friction in the process: waiting lists can be long, patients may damage the device or fail to return it to the clinic, or they may have difficulty assembling it at home.
“If you combine all things together, you understand that something doesn’t work properly in the way people diagnose and manage sleep disorders today and this is where we come into play,” said Reuveny.
A Seamless and Economic Solution
TATCH is a sleep diagnosis and monitoring patch that replaces bulky wired devices; the patent-pending, disposable product is both easy-to-use and cost-effective. To develop the prototype, the team focused on sleep apnea — the most common sleep test done in the United States today (3.5-4 million tests per year).
The one-use patch combines flexible electronics, machine learning and wearable technology to monitor diagnostic parameters for sleep apnea, such as sleep position and oxygen saturation levels.
“The patch has sensors and a communication module inside. All the signals are communicated from the patch to your smartphone securely and from the phone they are saved to the cloud. Then the clinic can easily pull the results of the test,” said Reuveny.
The patch is aimed at sleep clinics and the team believes it will dramatically reduce diagnostic costs for several reasons: patients can easily carry out the test at home; they do not require complex instructions; the risk of damaging or failing to return an expensive wired device is removed.
Further, said Reuveny, clinics can distribute multiple patches and carry out tests simultaneously, “With disposable patches you can do much more and you can also remove the waiting lists, you remove the friction.”
When Technology Innovation Meets Entrepreneurship
Reuveny has embraced the opportunities offered by the Runway Startup Postdoc Program at the Jacobs Institute. The program’s mission of taking digital science specialists and helping them become entrepreneurs was a perfect fit for him.
“They really help you to start things,” he said, “They give you all the initial services and support to start a company such as legal advice, IP advice and business mentorship, which is really very helpful at the first stages.”
TATCH recently won acceptance to a New York City Economic Development Corporation (NYCEDC) and HITLAB Digital Health Breakthrough Network program for healthcare, innovation, and technology in New York City. “This program provides us with a clinical pilot in a sleep clinic in New York City, and they are very helpful in administering the pilot and testing the device. This will be the first meet of the patch with real patients which is very exciting for us,” Reuveny said.
The next steps for the patch include bringing the prototype to product stage, starting clinical pilots, and investigating its application in the diagnoses of other sleep disorders.
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This fall, 81 organizations across New York City — ranging from Fortune 500 corporations and nonprofits to cutting-edge startups — provided 260 students enrolled in Product Studio a list of some of their biggest business challenges and a not-so-simple request: How might we solve it?
Small teams of students were created to build a specific, technology-based product to address the challenging company’s broad problem. In order to do that, many teams realized their client wasn’t just their assigned company: “The client was the real people who would be the final users of what we were developing,” said Joao Gilberto Campagnaro, Johnson Cornell Tech MBA ’18. They needed to go past the hypothetical to find out what consumers actually needed.
Here’s how two different teams handled the challenges of creating consumer-facing products:
Samsung asked: How might we increase consumers’ understanding of how to take advantage of Smart Home tech?
Having previously worked at a startup that explored hardware applications in the Internet of Things (IoT), Campagnaro immediately knew he wanted to tackle Samsung’s Smart Home challenge. But where would his group — also made up of health tech, connective media, design, and computer science students — begin? The answer lay in figuring out which type of consumer they’d best serve.
“After a lot of thinking … we came to the conclusion that one segment who can benefit from smart home technology that might not be getting addressed is the elderly,” he said. Specifically, the elderly population living in nursing homes. “When you put someone you care about in a nursing home, you’re invested in their well-being. But even the best nursing homes can have difficulty monitoring everyone all the time. We could help with monitoring and providing long-term data.”
In order to figure out how to best serve nursing home residents, teammate Fani Maksakuli, Master of Computer Science ’18, said they talked to doctors, scholars, nurses, and “visited four different nursing homes, some which had more resources than others.”
After talking to one nursing home’s CIO, the team was told that even though the facility had looked into smart home tech in the past, there weren’t service providers who could install smart home hardware and sensors and then present the resulting data in a clear way. There was a lack of connectivity, so the team created a platform that provided and could connect to any kind of smart technology. They’d then transmit the data to an easy-to-read dashboard that would show nursing home staff their patients’ behavioral patterns.
“An example of this is measuring an elderly person’s bathroom visits with motion sensors,” said Maksakuli. “If the bathroom pattern is increasing and they’re using it much more than usual, it could be a sign of a UTI. The earlier nurses can see it, the earlier it can be treated.” Staff could also monitor sleep patterns and even whether their clients were taking their medications at proper time intervals.
“Our client is a company, but we had to show that we cared about their clients,” Campagnaro said.
Grammarly: How might we help people write more clearly, effectively, and grammatically?
For the team working with Grammarly — an online platform that instantaneously checks writing for grammar, punctuation, spelling, and word choice — identifying consumer needs was somewhat simpler considering that they were the target demographic.
“Grammarly is a tool that a lot of international students, including myself, were using,” said Israel Krush, Johnson Cornell Tech MBA ’18, whose team was composed of students born in China, Israel, India, and Uzbekistan who were all interested in natural language processing. “We related to the challenge.”
Since there were already products which scanned writing samples for grammar and spelling, the team decided that their product would relate to grammar and tone, making writing more effective.
“We first wanted to put a style filter on a piece of text, similar to how you use a photo filter on Instagram,” said Maksimilian Shatkhin, Master of Computer Science ’18.
The group began testing this product by having users type in a sentence and then select a filter through which they wanted it to be read — for example, they’d select “professional” if it was intended to be a work email. Then group members would change the input themselves by manually editing the text into a new sentence.
After some experimentation, however, the team realized that manual translations weren’t the most efficient or helpful way to give feedback. Thus, they pivoted to an algorithmic-based model. Zheyuan Gu, Master of Computer Science ’18, said, “Our end product provides visual feedback and is a suggestion tool for our users, and users will edit it by themselves.”
Basically, a consumer will add writing into a website and use a drop-down menu to specify context (are they seeking advice? Detailing a mistake?) and the audience (is it to a boss or a subordinate?). The consumer would then click a button to receive a radar chart that ranks various stylistic aspects of the writing. It’d highlight toxic language in red, to point out any overly complex or passive sentences, as well as rate the formality and specificity.
“Since not everyone is an engineer, we gave users actual recommendations of how to change their language,” said Krush. “We didn’t change it for them, but it’s easy for them to do it.” That way, users maintain agency over the language they use.
“It isn’t a mass product, but we do have some early adopters,” Shatkjin said. “When classmates had to write a cover letter for homework, many of them sent us a draft and used the tool to simplify it.”
The fact that the tool has resonated with its intended customer base is a sign of success both for the team and for its Grammarly advisor.
As Campagnaro from the Samsung team put it, “The main thing about being successful in B2B2C (Business to Business to Consumer), is that you as the first ‘B’ have to convince the second ‘B’ that you understand their ‘C.'” If the consumer is happy, the company will be as well.
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Highlights From Spring 2022!

In January, 177 CUNY women interested in technology careers took part in Winternships at 46 companies. A Winternship is a two- or three-week mini-internship during the winter academic break for freshmen and sophomore CUNY women.
Winternships give these young women an immersive experience in different tech businesses/industries as well as a resume credential that will make them more competitive when applying for a summer tech internship.
Winterns and company sponsors were so excited about the experience they wrote about it. Here are a few of the first-hand experiences:
LinkedIn: Making Strides to Encourage More Women in Tech
Learn about LinkedIn’s three rewarding nonstop weeks with the Winterns. Students were fully integrated with the video team, where they built a product that will actually be used on LinkedIn’s platform.
Two Sigma Ventures: Thank You to Our Three Winterns
Two Sigma Ventures welcomed three CUNY students to their team through the Winternship program.
Turner Broadcasting: Let’s Talk About Tech
Macaulay Honors College at Baruch sophomore, Annmarie Gajdos, talks about her Winternship with Turner Broadcasting.
Paul, Weiss: Hosts CUNY Women in Tech Interns for Winter Break
Paul, Weiss welcomed five CUNY students to their team through the Winternship program.
Intersection: The Most Productive Winter Break of My Life
Macaulay Honors College at Baruch freshmen, Justina Hilbert, talks about her Winternship with Intersection.
Thank you to the following companies that participated in the 2018 Winternship Program:
Accenture | Hospital for Special Surgery | Satori Consulting |
AppNexus | IBM | Simons Foundation |
Arkadium Inc. | Infor (US), Inc. | Teachers Pay Teachers |
Artnet | Intersection | Thomson Reuters |
Betterment | Kargo | Turner |
Bitly | Landit | Two Sigma Investments, LP |
Blackstone | Two Sigma Ventures | |
BNY Mellon | Managed by Q | Union Realtime LLC |
Citi Ventures | Mastercard | Verizon |
Collibra | MediaMath | Warby Parker |
Credit Suisse | Morgan Stanley | Xerox Corporation |
Dow Jones | MTA Metro-North Railroad | |
EEVO | Oath (Yahoo, Tumblr & AOL) | |
Exiger | OppenheimerFunds | |
FocusVision | Paul, Weiss, Rifkind, Wharton & Garrison | |
Frog | Pfizer | |
Grand Central Tech | Ready Set Rocket | |
Haven Life (Owned by MassMutual) | RWJBarnabas Health |
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Highlights From Spring 2022!

Break Through Tech Expands to Miami!

By Kiyan Rajabi, Technion-Cornell Dual Master’s Degrees in Health Tech ’18
In 2014, I saw Zappos CEO Tony Hsieh speak in downtown Las Vegas. Of all he said, what stuck with me most was his notion of ‘collisionable hours,’ in other words: hours spent colliding with people sharing ideas. He conjectured that transplanting people in different communities has the potential to improve them by introducing diversity-in-thought and fresh ideas. I always thought the theory was interesting, but I never really experienced it much in-practice until Cornell Tech built and opened its doors to its new campus on Roosevelt Island.
- I dropped by my technical advisor Deborah Estrin’s office without scheduling an appointment. Our conversation evolved into a discussion about ReverCare, a startup I co-founded with some peers as part of Startup Studio. I told her I was struggling synthesizing all the input we’ve received from our users into our product prototype, one that we aimed to have hyper-personalization. She immediately introduced my team to an entrepreneur whose company helps product teams experiment with and generate user insights.
- Afterwards, I bumped into my friend Ardalan Khosrowpour, a Runway Startup Postdoc in the Cafe downstairs. I told him our product was unique in that the user experience might have to be tailored to users of wide-ranging tech literacy, so he connected me with Stephen Lang, UX designer-in-residence at The Foundry.
- Later that day, I met with the ReverCare team and we started to think through some of the legal implications of gathering data about our users. Rather than getting too deep into a rabbit hole, we immediately FaceTime’d Ari Yannakogeorgos, a friend of ours and LLM candidate. He talked us through data privacy law and gave us some resources to sift through.
Though it’s not necessarily representative of my everyday, it really does highlight that I’m surrounded by a culture that is supportive, generous, and agile. As such, I’ve identified a couple patterns I believe enhance opportunities for catalyzing these interactions in other environments as well:
1. Create spaces that cultivate interactions
There should always be opportunities to meet people you don’t everyday and have cross-function topics of discussion. WeWork has championed this originally through co-working space, but they continue to push these boundaries with other ventures like co-living through WeLive.
Cornell Tech also designed its campus for maximal interaction. Through communal spaces with open-floor plans, students also reap the benefit of every faculty department being housed in the same building. Gabe Ruttner, a friend who started the company Ursa out of Cornell Tech, told me many of his early business development relationships have been sparked by introductions to campus visitors. He recently said to me: “This place is a community in its truest sense. The environment offers much more than just a set of desks.”
2. Design structured interactions between people of different backgrounds
Organizations and businesses should strive for different departments to collaborate on projects together; bringing these varying perspectives will undoubtedly yield inventive thinking.
One of the ways they do this at Cornell Tech is through required experiences like the Studio Curriculum, but there’s also potential to take classes with students in other programs: in fact, it’s recommended we take courses in other departments. In addition to learning in conjunction with business, engineering, and law students, I also had the opportunity to work with them on projects. We have monthly scrums where we pitch our projects to other Studio teams and ask for their candid, critical feedback; we’re also sure to leave our feelings at the door.
3. Create open communication channels
Create communities that are constantly open to helping each other out, and always ask people, “what’s your biggest challenge right now?” to determine how you can be most helpful. Try to get buy-in from everyone in the ecosystem, regardless of their seniority.
Use platforms like Slack, GroupMe, and groups on WhatsApp. They’re faster than e-mail, and they let you really take advantage of the Network Effect. It may seem counterintuitive, but it actually saves you hours from needing to schedule lengthy meetings to get everyone communicating. This does not, obviously, replace the necessity for face-to-face meetings; it just reduces their frequency and duration. Another one of our practices is to bring everyone together for a targeted Town Hall. We do these monthly as a student body, but they also occur with specialized topics like student life with our Dean Dan Huttenlocher or program directors to discuss the curriculum. No matter what, aim to involve all leaders from every area and level.
Cornell Tech also recently allowed me to ‘take-over’ their Instagram stories for a day as an individual student. My mention as a health tech student prompted a Roosevelt Island resident to reach out and propose a way we could work together. By allowing me to officially represent Cornell Tech, I was able to more seriously engage with residents in a more personal way I couldn’t on my own.
4. Get everyone on the same page
Find ways people can engage in something all-together and go through something together.
One of the first students told me what really is his favorite aspect of Cornell Tech are our Sprints. Sprints were inspired from Jake Knapp’s book Sprint and take place monthly for us. It’s a block of time where there are no classes and we commit to a 24-hour work block (except the time we’re sleeping) with our multidisciplinary teams. It’s certainly also when we get the most done.
Companies could also similarly benefit from asking their employees to wholly commit to developing and prototyping an idea for a week by starting with the simple question, “how might we…?”
5. Don’t forget to get out of your bubble
Though much of the time I spent in graduate school is with fellow students, one of the most refreshing aspects of being a part of the Roosevelt Island community is my participation with local organizations: the school, senior center, and art gallery to name a few.
I even took a course that encouraged us to observe a local organization and work with them to create a technology or design a service project to address one of their challenges. We initially strove for intra-organizational impact but quickly realized we should also have inter-organizational forums to unite their respective leaders and again elevate the Network Effect.
That is what Cornell Tech intended when it won the NYC Tech Campus bid in 2011. Its aim was not to solely have an identity as a “Campus of the Digital Age”, but also one with a deep connection and commitment to serve its local inhabitants. Transplanting a bunch of academics on a narrow island will surely shift its dynamics, and ideally they maximize positive collisions and therefore serendipity.
This is definitely not a comprehensive guide to fostering a collisionable environment but hopefully it’s a helpful start. Maybe someday we can all harness that energy from water cooler talk and direct that to an idea or action you wouldn’t come up with on your own. But then again, perhaps we really DO want to have that conversation to determine once-and-for-all if that dress is truly white and gold or blue and black.
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Cornell Tech Students Develop Innovative Health Technology to Benefit Patients
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How can technology be used to help patients and doctors make treatment plans more efficient and effective? That was the challenge at-hand for the health technology challenges from last fall’s Product Studio at Cornell Tech.
Leading startups, companies, and organizations in New York City tasked students with developing innovative technology to solve their respective business challenges. Product Studio teams comprised of interdisciplinary Cornell Tech masters students and students from Parsons School of Design collaborated throughout the fall semester and demonstrated their final prototype — backed by user research and strategy — to key stakeholders.
Here are two health technology projects from Product Studio:
Using Technology to Enhance the Data Collection and Evaluation
When Hale Health asked students to design a one-stop-shop healthcare experience for chronic disease patients, the team chose to help diabetic patients. The team included Xialin Shen, Technion-Cornell Dual Master’s Degrees in Health Tech ’18, Nicholas Deaton, Johnson Cornell Tech MBA ’18, Oluseye Bankole, Health Tech ’18, Ethan Green MBA ’18, and Danielle Beecham, MFA ’19, Parsons School of Design.
The choice to focus on patients with diabetes came from Beecham and Deaton’s experience each having a parent with Type 2 diabetes. After extensively researching the treatment plan and speaking to physicians at the Open Medical Institute and Weill Cornell Medicine, they realized that what diabetes patients and their physicians needed was a convenient way to collect data points about the patient’s health and routine so they created the solution.
The team built a voice chatbot that reminds patients with diabetes to log the information the doctor needs to properly assess their treatment plan and provides an easy way for patients to record their notes. Patients traditionally record physical notes in a journal or log to share the feedback with their doctor every six to eight weeks. In their user research, the students learned that people often forget to track their information daily, which leads to incomplete or incorrect records.
“The bot prompts the patient to report those tidbits one or multiple times a day and it gathers those to share with the physician and back with the patient so they can see how they are progressing,” says Deaton. Patients and physicians can look at the dashboard during appointments to discuss trends and treatment plans based on accurate data.
Using Technology to Forecast the Recovery Process
IBM challenged Cornell Tech students to develop a comprehensive decision support tool for patients and their families. The responding team included Neel Parekh and Derek Netto, both Masters in Computer Science ’18, Adrien Cogny, Master in Operations Research and Information Engineering ’18, John Quinn, Johnson Cornell Tech MBA ’18, and Maria Jessica, BFA ’18, Parsons School of Design.
They built a digital tool that allows cancer patients to anticipate how they will feel throughout their treatment. When the patient inputs their chemotherapy schedule, the tool provides an easily-shareable forecast for how the treatment will make them each day. The team studied data about the typical chemotherapy schedule and side effects to create the predictive model that the digital tool uses to customize the forecast based on each patient’s specific treatment schedule.
“We learned that it’s the responsibility to think about the life-cycle of the product to make sure it is beneficial to the users,” says Jessica who conducted in-depth user interviews to identify what patients and their loved ones would benefit from the most.
They realized patients needed a way to predict how they would feel so they could plan activities based on when they would feel at their best. They also realized that it’s difficult for their friends and family to balance caregiving along with their other personal and professional obligations. Patients share their information with caregiver so they can set their schedules to be there when patients need them most.
“Our tool helps patients and their caregivers be more informed about their treatment,” says Netto, “When someone has a condition, they aren’t an island, their condition affects their family and everyone around them. We wanted to address the burden of being a caregiver for a loved one because we felt like there wasn’t anything addressing that need.”
Both teams agreed that health technology, like their proposed technology for Hale Health and IBM, will become more prevalent in the future. “I’m really excited about the changes that tech is going to have in health care over the next few years. At the crux of it, we all think there is a lot of potential to help people on a one-to-many scale using technology,” says Green.