Announcing: The COVID-19 Symptom Data Challenge

In Partnership with the Duke-Margolis Center for Health Policy, Resolve to Save Lives, Carnegie Mellon University, and University of Maryland, Catalyst @ Health 2.0 is excited to announce the launch of The COVID-19 Symptom Data Challenge. The COVID-19 Symptom Data Challenge is looking for novel analytic approaches that use COVID-19 Symptom Survey data to enable earlier detection and improved situational awareness of the outbreak by public health and the public. 

How the Challenge Works:

In Phase I, innovators submit a white paper (“digital poster”) summarizing the approach, methods, analysis, findings, relevant figures and graphs of their analytic approach using Symptom Survey public data (see challenge submission criteria for more). Judges will evaluate the entries based on Validity, Scientific Rigor, Impact, and User Experience and award five semi-finalists $5,000 each. Semi-finalists will present their analytic approaches to a judging panel and three semi-finalists will be selected to advance to Phase II. The semi-finalists will develop a prototype (simulation or visualization) using their analytic approach and present their prototype at a virtual unveiling event. Judges will select a grand prize winner and the runner up (2nd place). The grand prize winner will be awarded $50,000 and the runner up will be awarded $25,000.The winning analytic design will be featured on the Facebook Data For Good website and the winning team will have the opportunity to participate in a discussion forum with representatives from public health agencies. 

Phase I applications for the challenge are due Tuesday, September 29th, 2020 11:59:59 PM ET.

Learn more about the COVID-19 Symptom Data Challenge HERE.

Challenge participants will leverage aggregated data from the COVID-19 symptom surveys conducted by Carnegie Mellon University and the University of Maryland, in partnership with Facebook Data for Good. Approaches can integrate publicly available anonymized datasets to validate and extend predictive utility of symptom data and should assess the impact of the integration of symptom data on identifying inflection points in state, local, or regional COVID outbreaks as well guiding individual and policy decision-making. 

These are the largest and most detailed surveys ever conducted during a public health emergency, with over 25M responses recorded to date, across 200+ countries and territories and 55+ languages. Challenge partners look forward to seeing participant’s proposed approaches leveraging this data, as well as welcome feedback on the data’s usefulness in modeling efforts. 

Indu Subaiya, President of Catalyst @ Health 2.0 (“Catalyst”) sits down with Farzad Mostashari, CEO of Aledade, former National Coordinator of Health IT, and Challenge Chair, to discuss the launch of the COVID-19 Symptom Data Challenge. Indu and Farzad walk through the movement around open data as it relates to the COVID-19 pandemic, as well as the challenge goals, partners, evaluation criteria, and prizes.

Video Transcript:

Indu Subaiya:

I'm delighted to be talking today with Farzad Mostashari about the COVID-19 symptom data challenge, in partnership with Facebook Data For Good, the Delphi Group at Carnegie Mellon University, and the joint program on survey methodology at the University of Maryland. So thank you for being here as we launch this challenge. Help us set the stage, because on March 7th of this year, you noticed something unusual going on in New York City. Tell us about that.

Farzad Mostashari:

I was part of the first group of researchers 20 years ago to say “There's all this data that is part of the universe floating around that we're not using for public health purposes. What if we did?” The urgency at that time was around pandemics and bio terrorism both.

Farzad Mostashari:

And we developed this whole field of what became known as “syndromic surveillance”, public health surveillance, real time epidemiology, where we were like, "What if you tap into what's going on and apply these new statistical methods?" So at that time, the stone that we polished was emergency room visits and saying, "Can we receive all these data about emergency room visits happening in New York City?” And now it's national. And be able to track, not diagnosed cases of anything, but syndromes. Is there a respiratory syndrome? Is there difficulty breathing? Is there influenza-like illness going on in the community?" And we set up these systems. And one of the other things we did in New York City, which a lot of other jurisdictions didn't do, was we created a public facing transparency tool view of that.

Farzad Mostashari:

So 10 years later, I was sitting in my basement like so many other people worrying about what's going on with COVID. And now at that time in New York City, there were two diagnosed cases of COVID. But there was a lot of concern. And I went on that website, and it's a public website, but people just didn't know about it. And I clicked through, and I saw that cases of people going to the emergency room with respiratory distress, with difficulty breathing, with cough and fever had doubled and tripled just in the past few days. And what that told me was there are not two cases of COVID in New York City. There are tens of thousands of cases and they're doubling every three days.

Farzad Mostashari:

It took two weeks between that realization and when the schools were shut down, when the city was shut down. The promise and the premise here is that if we trust those signals, if those are trusted signals, we don't have to have hundreds of thousands of people infected and tens of thousands of people die. We can intervene sooner. The public and policy makers can both make decisions based on data that is more timely.

Indu Subaiya:

It seems almost there are three requisite factors that play into this vision that you've really set up beautifully. And one is that you need open data. You need access to data that you've always evangelized for and built in New York City and other places. You need to have mechanisms for early detection and early warning. But there's something else you've always advocated for, which is the engagement of citizen scientists. So speak to how those underpinnings of the vision came together to design this challenge specifically.

Farzad Mostashari:

So I got to hear about this incredible effort that's underway that no one knows about (to a first order of approximation) which is that there are millions of surveys a week being done all over the globe, 70 plus countries, and in every state and territory in the US where millions of people every day, they go on Facebook, they see that there's an opportunity to take a survey about COVID from an outside university, Carnegie Mellon, or University of Maryland for the global data. They click on that and they leave Facebook and they go to this other webpage and they fill out a survey that asks questions around, "Have you had symptoms in the past 24 hours? Has anyone in your household? Do you know people [who have]? Do you wear masks? Have you been careful when you go outside?" And they're answering these questions and they're actually being statistically weighed so that it's not a convenient sample, it's not whoever happens to have a thermometer at home or whatever. It's like real time, reliable information. But it's not being used!

Farzad Mostashari:

Tom Frieden, my former boss and now leading Resolve To Save Lives (a wonderful global public health organization) and I were brought in to give our thoughts about this effort. And we were both like, "This is amazing. You should push it out." And they pushed out the data in an open API. Anyone can go to the Delphi CMU. And three months later, it's still not part of the Pantheon of data that we're using to assess what's happening with the COVID. Despite all the shortcomings in all the other data systems, people aren't using it.

Farzad Mostashari:

And I think to your point, the data is there, but the engagement on polishing the stone hasn't occurred. The validation of it hasn't occurred because we don't have enough eyes on it. And it is not integrated into people's understanding of what they should do. “Should I send my kid to school? Should I go to the store? Do I wear a mask this week?” These are real decisions that real people have to make every day, and we're not giving them the benefit of what might be something that could be a real game changer.

Indu Subaiya:

Well, we've seen firsthand in some of the early analyses with this data. Speak a little bit to just some of the insights that you've seen where symptom data can tell us something differently and earlier than case rates, death rates, the kinds of data inputs that we're currently used to seeing, for the ways that this can do better.

Farzad Mostashari:

Yeah. So theoretically, let's think about the advantages. Over the three major sources of data, if I said to you, a citizen scientist, "How do we know what's going on with COVID in our community? How do we know if an outbreak is occurring? How do we know if the outbreak is peaking? How do we know if it's coming down?" There's three sources of data that we are trying to look at. And all three are flawed. The first is obviously how many diagnosed cases we have. Case numbers, case positivity, lab tests. Well, the problem with that is we had a huge dearth of lab capacity early on. There are still parts of the country and parts of the world where there is not great lab capacity. And that lab capacity is changing. And even when we do the tests, they're delayed now by seven to 10 days.

Farzad Mostashari:

And the positivity can't necessarily be relied on either, because it depends on what population you're testing. If you turn on testing of a bunch of young people, you might have a different rate. If you start testing asymptomatic people, you might have a different rate. If the people follow the CDC's recommendation and they stopped testing asymptomatics, you can have an increase ... So it's very much dependent on testing behavior. You're seeing it through this lens of testing behavior and that lens can distort.

Farzad Mostashari:

The second source of data could be deaths. Deaths are highly reliable. They're still underdiagnosed. One of our scientific committee members, Dan Weinberger, and a group of other researchers and I published an article looking at excess deaths compared to COVID deaths. And there's actual discrepancies between those two, but death is a pretty hard data point. The problem is it's weeks delayed. If we waited until we saw deaths to say that we have a problem, the outbreak would have run wild through a city before we can even address it.

Farzad Mostashari:

And then the third source of now traditional surveillance are the syndromic surveillance, emergency room, hospitalization, syndromic data that we pioneered 20 years ago. And the problem with those is that the lens you're seeing those through is health seeking behavior. And if people change their likelihood of going to the emergency room, going to doctor's offices, it obscures that lens.

Farzad Mostashari:

So with all three of these, the symptom survey data presents unique advantages. Compared to deaths, it's much more timely. In fact, compared to any of the other data sources, you would expect it to be the first indicator. It's completely unrelated to health seeking behavior or testing availability. And if you think about, and particularly in the global context, there are many countries where the lab capacity is really challenged, and even death surveillance, mortality surveillance is really challenged. This could be a major tool.

Farzad Mostashari:

That all having been said, what we have now are very preliminary evidence that this could be useful. And what we're looking for are many, many more people to put eyes on the data and find ways to polish those stones, to have the highest-value ways, for society, of using this information.

Indu Subaiya:

So available to all the citizen scientists in the world as of today will be access to these datasets through APIs, through aggregate CSVs. And Farzad, what will be the primary challenge questions that they'll be able to engage with and tackle?

Farzad Mostashari:

The main question that we're asking is can you find a way to validate whether adding in the symptom data into all the other existing data sources we have can improve the sensitivity, the specificity, the timeliness of our ability to detect what's going on with the outbreak. What are the inflection points? When is it taking off? When is it flattening? When is it coming down? And to be able to provide useful information for policy makers and the public in guiding their decisions.

Farzad Mostashari:

So we're leaving it pretty wide open, right? Come with your methods, come with your visualization. Do you want to look at it on an age stratified basis? Do you want to combine it with lab data? Do you want to incorporate the mask wearing information? Do you want to think about the granularity of it in space? Do you want to look county level, HR level, state level? Do you want to look at it in terms of time? Do you want to look at it by week or by day? All of those, do you want to apply statistical methods, clustering methods? You figure it out.  But answer the question: “what is the best case to be made for how one would incorporate this data into the Pantheon of public health surveillance tools?”

Indu Subaiya:

And even though we have the academics, if you will, working on this, we're really looking for all comers.

Farzad Mostashari:

All comers.

Indu Subaiya:

Even if you're not a trained epidemiologist, but you have an interest in this data, we are making it available as of today. And contestants will have four weeks to come up with their analyses. And then we'll have some semifinalists that will present to the scientific committee. And at that point, up to five teams will be chosen to advance to a second round where they'll build visualizations and simulations, prototypes of this analysis in action. So as the contestants submit their analyses after the first four weeks, the scientific committee will be looking at certain criteria. What can people expect their submissions to be judged on?

Farzad Mostashari:

Well, I think it's kind of like having a special issue of a journal. We won't be as tough on the formatting and references as we would a real journal article, but we're basically doing the evaluation of the validity of the results.

 Farzad Mostashari:

How convincing is the evidence that's being presented in terms of the additional utility of adding the symptom data and how? What are the methods that are being used? The second is the rigor with which these analyses are done. Have they considered biases confounding, some of the other potential causes for false associations? What are the limitations of that? The third is impact.

 Farzad Mostashari:

If there's a method that's so complicated that it takes 20 days to run on every day's worth of data, well, that's not going to have as much impact. But what is the real likelihood of impact?

 Farzad Mostashari:

And related to that, but distinct, is the user experience. How easy is it to explain? How easy is it to visualize? How easy is it to make actionable those results from the analysis? These four criteria are going to be used in the first phase. And then when we do the presentations and then with the final result, when we select the grand winner of ... What is it, $50,000? That's huge!

Indu Subaiya:

That's right. And the second place gets $25,000.

 Farzad Mostashari:

$25,000! Those are the same criteria are going to be used for each of those levels.

 Indu Subaiya:

Fantastic. I also want to remind folks that outside data can be brought in as long as it's made publicly available so that we can continue to feed this repository of access to data, and hopefully really combat this epidemic together.

Indu Subaiya:

So Farzad, one of the ways that we can help contestants understand the data sets being made available is there's so many partners here. Where did these data sets come from, and how does privacy work given that people have taken these surveys?

Farzad Mostashari:

The surveys are suggested to folks who are on Facebook. But then when someone clicks on that banner ad that says 'do you want to take a COVID survey,' they leave the Facebook environment entirely, and they go off to the University of Maryland or Carnegie Mellon's website.

Farzad Mostashari:

I think it's important for people to understand where the data comes from is from those anonymous surveys that are done by the universities. There is no access to the line-level data for the folks at Facebook. They don't want it, they don't have it.

Farzad Mostashari:

But that micro data is actually available to university researchers. But there are extracts made from that, which are anonymized, minimum cell size at the various levels of granularity that are currently being made public through APIs and we will make a CSV download available as well.

Farzad Mostashari:

Those are fully anonymized, fully aggregated. No one's identity is obviously going to be impacted, just says “in this county this week, there were these many cases of people who complained of having recent cough symptoms” and so forth.

Farzad Mostashari:

This is part of the Facebook Data for Good project, and I certainly believe that this is data for good.

Indu Subaiya:

And Farzad, what is your hope as these teams come forward with these ideas? Where can these findings be deployed? And what is your vision for where it goes from here outside of the challenge?

Farzad Mostashari:

Our hope is that these become just a part of the, alongside deaths and cases and hospitalizations, it's just part of what people look at. So when you go to COVID tracking or COVID Exit Strategy or the Hopkins site or the CDC, or when states or cities or governors are looking at their data, this is one of the factors that they also consider. But also the public. As Tom Frieden likes to say, "When you check the weather to see if you should take an umbrella, you should be checking a website that tells you what's going on with COVID activity in your community”-  that can help guide many of the decisions that we have to make, unfortunately on a daily basis, until we have herd immunity or a vaccine, or both."

Indu Subaiya:

Absolutely. So some real, very impactful outcomes expected from this challenge. It's not just an academic exercise. Folks evaluating the finalists will be looking for how to adopt these algorithms and these visualizations into their public health dashboards, into their decision making processes. So it's a really incredibly exciting opportunity.

Indu Subaiya:

One of the things this challenge will be doing is inviting people to join a Slack channel so that they can communicate with each other. We don't see this as a one-time submission and then off you go, but really as a means to engage the community. That's always been at the forefront of what you've evangelized with the health technology community.

Farzad Mostashari:

None of us are as smart as all of us.

Indu Subaiya:

We'll go live today. And I just wanted to have a chance for you, Farzad, to share the vision behind it and what good looks like. So we're really excited to be helping support the challenge mechanism itself here at Catalyst. So thank you so much.

Farzad Mostashari:

And thank you and the team for helping sponsor this. And I hope the contestants will have a wonderful experience.

Indu Subaiya:

Thank you.

Participation subject to Official Rules NO PURCHASE NECESSARY TO ENTER/WIN. A PURCHASE WILL NOT INCREASE YOUR CHANCES OF WINNING. Entry deadline September 29th, 2020 at 11:59:59 pm EDT. Open to legal residents US and worldwide who are at least the age of majority in their jurisdiction of residence, excluding Crimea, Cuba, Iran, Syria, North Korea, Sudan, or other countries or regions subject to U.S. export controls or sanctions. Void where prohibited by law. Participation subject to Official Rules. See Official Rules for entry requirements, judging criteria and full details. Administrator: Health 2.0 LLC. Sponsor: Facebook, Inc. Partners: Duke Margolis Center for Health Policy, Carnegie Mellon University, University of Maryland, and Resolve to Save Lives.

$25k Grand Prize: RWJF Emergency Tech Challenges

Applications for the RWJF Emergency Response for the Health Care System and General Public Challenges close in just 4 days! The Emergency Response for the Health Care System Challenge is seeking digital tools that can support the health care system during a large-scale health crisis (pandemic, natural disaster, or other public health emergency). Examples include but are not limited to tools that can support providers, government, and public health and community organizations. The Emergency Response for the General Public Challenge is looking for health technology tools to support the needs of individuals whose lives have been affected by a large-scale health crisis.

How It Works:

●     In Phase I, innovators submit their tech-enabled solutions addressing the challenge topic. Judges will evaluate the entries based on Impact, UX/UI, Innovation/Creativity, and Scalability. The top five teams will move onto Phase II.

●     In Phase II, five semi-finalists will be awarded $1,000 each to further develop their application or tool. Three finalists will be chosen at the end of Phase II to participate in a virtual pitch and present their solutions to an audience of investors, provider organizations, and more. The grand prize winner will be awarded $25,000 for first place.

Submit your solution today to help the health care system and general public address the challenges they face during an emergency situation. Applications for both challenges are due by June 12th, 2020 11:59PM ET.

To apply to the Emergency Response for the Health Care System Challenge, click here.

To apply to the Emergency Response for the General Public Challenge, click here.

RWJF Challenge: Health Care Emergency Tech

Catalyst @ Health 2.0, in collaboration with the Robert Wood Johnson Foundation, is seeking health technology solutions that can support the needs of the health care system (e.g. providers, government, public health and community organizations, and more) by addressing several obstacles during an emergency such as:

●     Resource Management: Shortages of equipment, staff, and cash flow

●     Health Data Exchange: Limited information and access available on patients’ health histories

●     Training and Communication: Limited training and cumbersome communication between responders and clinicians

●     Capacity: Limited beds, equipment, and resources and a need to maximize patient flow/throughput

Innovators must submit their tech-enabled solution by June 12th, 2020 at 11:59 PM ET.

Can you create a digital tool that supports the health care system during a large-scale health crisis? Apply today!

Prehab Tool and AI Win Big at the 2019 RWJF Live Pitch

Six finalists competed in an exciting live pitch for the Robert Wood Johnson Foundation’s 2019 Innovation Challenges at the 2019 Health 2.0 Annual Conference. They demoed their technologies in front of an audience of health care professionals, investors, provider organizations, and members of the media. The Home and Community Based Care Challenge sought technologies that support the advancement of at-home or community based care. The Social Determinants of Health Innovation Challenge called for solutions that increase access to services related to social determinants of health.

During the 3-day Conference, Jessica DaMassa, Executive Producer & Host of @WTF_Health, spoke with the finalists about their experience competing in the RWJF Innovation Challenges, their personal highlights, and what’s next!

Home and Community Based Care Innovation Challenge Finalists

First Place:

Ooney’s home-based web-app for older adults, Prehab Pal, delivers individualized prehabilitation to accelerate postoperative functional recovery and return to independence after surgery.

Second Place:

Wizeview uses artificial intelligence to automate and organize information collected during home visits, supporting the management of medically complex populations at the lowest cost per encounter.

Third Place:

Heal doctor house calls, paired with Heal Hub remote patient monitoring and telemedicine, offer a complete connected care solution for patients with chronic conditions.

Social Determinants of Health Innovation Challenge Finalists

First Place:

Social Impact AI Lab is a consortium of nonprofit social services agencies and technology providers with artificial intelligence solutions to address social disconnection in child welfare.

Second Place:

Community Resource Network’s Social Determinants of Health Client Profile creates a whole-person picture across physical, behavioral, and social domains to expedite help for those most at risk, fill in the gaps in care, and optimize well-being.

Third Place:

Open City Labs matches patients with community services and government benefits that address SDoH seamlessly. The platform will integrate with HIEs to automate referral, eligibility screening & benefits enrollment.

Congratulations to the six winners and thank you to all of the participants involved in both Innovation Challenges. To learn more about these efforts, you can visit the Home and Community Based Care and Social Determinants of Health Challenge websites.

Announcing The RWJF SDoH & Home and Community Based Care Innovation Challenge Semi-Finalists!

Health disparities domestically and globally can often be attributed to social determinants of health (SDoH). According to Healthy People 2020, SDoH are conditions and resources in the environments in which “people are born, live, learn, work, play, worship, and age that affect a wide range of health, functioning, and quality-of-life outcomes and risks.” Examples of these include: resources to meet daily needs (e.g. access to and quality of housing and food markets), educational opportunities, employment opportunities, and transportation. Despite well-established literature on the importance of SDoH, these factors are often overlooked and excluded in health care frameworks. 

Concurrently, health services provided in traditional settings such as hospitals and clinics can be expensive and inaccessible. There are a large number of communities, from rural areas to major cities, that are in need of high-quality care. Innovative technologies can mitigate these challenges. Home and community-based care models coupled with digital tools provide the opportunity to serve patients where they feel most comfortable in a cost-effective manner. 

In an effort to spur creativity in the SDoH tech environment and improve the landscape of home based care, the Robert Wood Johnson Foundation and Catalyst partnered to launch two Innovation Challenges on Social Determinants of Health and Home and Community Based Care. 

For the SDoH Challenge, innovators were asked to develop novel digital solutions that can help providers and/or patients connect to health services related to SDoH. Over 110 applications were submitted to the SDoH Challenge. For the Home and Community Based Care Challenge, applicants were asked to create technologies that support the advancement of at-home or community-based health care. Nearly 100 applications for Home and Community Based Care Challenge were received. 

After the submission period ended, an expert panel comprised of subject matter experts, venture capitalists, as well as designers evaluated the entries. Five semi-finalists from each challenge have been selected to advance to the next round:

Social Determinants of Health Semi-Finalists

• Community Resource Network - The Social Determinants of Health Client Profile, a part of the Community Resource Network, creates a whole-person picture across physical, behavioral, and social domains to expedite help for those most at risk, fill in the gaps in care, and optimize well-being.

• Open City Labs - A company that matches patients with community services and government benefits that address SDoH seamlessly. The platform will integrate with HIEs to automate referral, eligibility screening & benefits enrollment.

• Project Well - A company that personalizes food and social dining interventions to address food insecurity, social isolation, and strained household budgets for health plan members with chronic disease.

• Smart Community Health - A team from the University of Minnesota with a full service community resource recommendation system that uses PRISM mobile app technology integrated with MyStrengths+MyHealth to provide personalized community resources.

• Social Impact AI Lab New York - A consortium of nonprofit social services agencies and technology providers with artificial intelligence solutions to address social disconnection in child welfare.

Home & Community Based Care Semi-Finalists

• CareTree - A centralized place to manage loved one's care with the entire care team.

• Epharmix - A company that scales remote patient monitoring for 24 conditions using accessible SMS & IVR to collect real-time patient health data. Provider alerts enable proactive care for patients worsening.

• Heal - Heal doctor house calls paired with Heal Hub remote patient monitoring and telemedicine offer a complete connected care solution for patients with chronic conditions.

• Ooney - PrehabPal, a home-based web-app for older adults, delivers individualized prehabilitation to accelerate postoperative functional recovery and return to independence after surgery.

• WizeView - A company that uses artificial intelligence to automate and organize information collected during home visits, supporting the management of medically complex populations at the lowest cost per encounter.

The semi-finalists for the Challenges will be awarded $5,000 each to further develop their application or tool. After a second application round, three finalists from each Challenge will be chosen to compete at a live pitch event during the Health 2.0 Conference (September 16th-18th). They will demo their technology in front of a captivated audience of health care professionals, investors, provider organizations, and members of the media. Judges will select the first, second, and third place winners live after a series of short demos from the finalists. The winners will be awarded $40,000 for first place, $25,000 for second place, and $10,000 for third place.
For further updates on the semi-finalists of the RWJF SDoH and Home and Community Based Care Innovation Challenge and other programs, subscribe to the Catalyst @ Health 2.0 Newsletter, and follow on Twitter @catalyst_h20 .

Role of Innovation in Addressing Social Determinants of Health

Nearly a decade has passed since Healthy People 2020 positioned social determinants of health (SDoH) at the forefront of healthcare reform. As defined by the report, SDoH are the “conditions in the environment in which people are born, live, learn, work, play, worship, and age, that affect a wide range of health, functioning, and quality of life outcomes.” Examples of social determinants include:

• Resources to meet daily needs (e.g., safe housing and local food markets)

• Educational, economic, and job opportunities

• Community-based resources in support of community living and opportunities for recreational and leisure-time activities

• Transportation

The ability to influence social determinants largely falls outside of the health care system’s reach. Therefore, a key to address opportunities for health involves collaboration between health care and different industries such as education, housing, and transportation. Both the public and private sectors have made significant efforts to bridge the gap between physical, mental, and social care by experimenting with non-traditional partnerships.

The Center for Disease Control and Prevention (CDC) has spearheaded multiple programs with government agencies and community partners to achieve the goals outlined in Healthy People 2020. One of the most notable successes is the Childhood Lead Poisoning Prevention Program, an initiative by the CDC with the Department of Housing & Urban Development and the U.S. Environmental Protection Agency. Through housing rehabilitation, enforcement of housing and health codes, and partnerships with healthcare experts, the program helped Healthy People 2020 exceed their target of reducing blood lead level in children.

Other programs such as the “National Program to Eliminate Diabetes Related Disparities in Vulnerable Populations,” leveraged community partners and resources to increase food security, health literacy, and physical spaces for active living. In one of their projects, the program partnered with community health workers (promotoras) who spoke Spanish to engage with Hispanic/Latino communities where participation to Diabetes Self-Management Education (DSME) was low. The community health workers provided linguistically and culturally-sensitive materials that effectively increased participation in DSME among the targeted population. The outcomes from such initiatives have inspired more health and community organizations to work together to reduce health disparities.

Private health insurers have also joined the movement to influence SDoH as the shift towards value-based care incentivizes them to keep their beneficiaries healthy beyond clinical settings. Kaiser Permanente, which prides itself on helping their beneficiaries achieve total health, will launch their social care network Thrive Local to connect healthcare and social services providers. Thrive Local will be powered by Unite Us, a startup that helps providers refer social services, track outcomes, and collaborate care with community partners. Meanwhile, Blue Cross Blue Shield has invested nearly $40M into Solera Health to integrate social determinants data and resources into healthcare. Solera Health will use the funding to build out a network of digital health and social services providers and reimagine how health plans will pay social service providers. Both insurers are hopeful that the partnerships will promote better health outcomes and create a new care delivery model that effectively address social needs.  

Developers and innovators are encouraged to create technology that can support the integration of SDoH collaborations into healthcare. Those who are interested in this space and have a digital solution should apply to the “Robert Wood Johnson Foundation Social Determinants of Health Innovation Challenge,” which seeks novel technology that helps providers and/or patients connect to health services related to SDoH.

Examples include but are not limited to:

• Digital tools that pull data from non-profit services to assist health systems in serving diverse patient populations on an ongoing basis

• Apps for consumers that provide health information based on their community/location

• Technology that harnesses governmental or open source data to create insights for healthcare providers to evaluate SDoH data and improve population health

In this multi-phase challenge, innovators are asked to submit tech-enabled solutions that account for SDoH. Subject matter experts will evaluate the entries and select the top five teams who will move onto Phase II. The five semi-finalists will be awarded $5,000 each to further develop their application or tool. Then, three finalists will be chosen at the end of Phase II to compete at a live pitch event! They will demo their technology in front of a captivated audience of investors, provider organizations, and members of the media at a prominent health conference. Judges will select the first, second, and third place winners live. Winners will be awarded $40,000 for first place, $25,000 for second place, and $10,000 for third place.

The challenge is open to innovators and companies at any stage of development. If you are interested in applying, the competition is now accepting Phase I applications and the deadline to submit is June 7th, 2019 11:59 PM EDT.

To learn more about the challenge, please visit the website. To sign up for updates on the challenge, please click here.

Healthcare is Coming Home

In an AARP survey of 2000 adults, 6 out of 10 respondents indicated they prefer to stay in their home and community for as long as possible. This desire increases with age; more than 75% of adults over 50 would rather remain in a familiar environment where they have strong connections to friends, neighbors, and businesses. However, for the elderly and people with chronic illness or disabilities, remaining at home can be difficult. These populations require services that are often provided at long term care facilities (e.g. nursing homes) and/or formal medical settings-- which can be costly, inconvenient, and inefficient. 

Individuals of all ages across the health spectrum have also expressed interest in receiving health services in the home or community as a means to access higher quality and convenient care. With consumer demand for patient-centered care, the U.S. healthcare system has steadily steered away from institutional services in favor of home and community-based services (HCBS). Since 2013, Medicaid expenditures for HCBS has continued to exceed spending for institutional services. HCBS now accounts for 55% of Medicaid Long Term Care spending.

As the largest payor for healthcare in the United States, the Center for Medicare and Medicaid Services (CMS), is often the first to experiment and adopt new care delivery models. With Medicaid’s perceived benefits with HCBS, the CMS has also changed what is covered under Medicare Advantage (MA) to accommodate for the transition towards home and community based care. In 2018, CMS added “non-medical in-home care” as a supplemental benefit for 2019 MA plans. This year, CMS continued to broaden the range of supplemental benefits for MA 2020 to cover any benefits “that have a reasonable expectation of improving or maintaining the health or overall function” of beneficiaries with chronic conditions or illnesses.

In one short, powerful clause, CMS opens the gateway to address previously neglected factors such as the home, social environment, transportation, and more. of chronically ill patients. As listed in the announcement, items and services that are covered may include but are not limited to:

●     Meals furnished to the enrollee beyond a limited basis

●     Transportation for non-medical needs

●     Pest control

●     Indoor air quality equipment and services

●     Other benefits to address social needs

Health insurers and providers, especially home and community based care providers, are eager to take advantage of this addition. However, they need new ways to include such services in their care delivery. Unconventional care models, as well as novel technologies to support care delivery outside of medical institutions are essential. Therefore, the Robert Wood Johnson Foundation (RWJF), in partnership with Catalyst @ Health 2.0, has launched the “Home & Community-Based Care Challenge,” to encourage developers to create solutions that support the advancement of at-home or community based health care. Examples include but are not limited to:  

●     coaching app to engage consumers with their healthcare

●     non-intrusive sensors for at home monitory of acute disease patients

●     apps to support caretakers with burnout

In this multi-phase challenge, innovators are asked to submit tech-enabled solutions addressing home and community based care. Subject matter experts will evaluate the entries and select the top five teams who will move onto Phase II. The five semi-finalists will be awarded $5,000 each to further develop their application or tool. Then, three finalists will be chosen at the end of Phase II to compete at a live pitch event! They will demo their technology in front of a captivated audience of investors, provider organizations, and members of the media at a prominent health conference. Judges will select the first, second, and third place winners live. Winners will be awarded $40,000 for first place, $25,000 for second place, and $10,000 for third place.

The challenge is open to innovators and companies at any stage of development. If you are interested in applying, the competition is now accepting Phase I applications and the deadline to submit is June 7th, 2019 11:59 PM EDT.

To learn more about the challenge, please visit the website. To sign up for updates on the challenge, please click here.

Announcing: New RWJF Innovation Challenges

Health starts with where we live, learn, work, and play. In our shared commitment to building a culture of health, the Robert Wood Johnson Foundation (RWJF) and Catalyst @ Health 2.0 are proud to launch the Social Determinants of Health (SDoH) and the Home & Community Based Care Innovation Challenges. We are seeking novel technologies that address conditions in communities and bring quality care to where people live. 

We invite you to join our fight to improve access to health resources and the chance to win your share of $100,000 in prizes! Finalists also have the opportunity to pitch their solutions live on stage at a prominent health tech conference.

For the SDoH Challenge, we are looking for digital solutions that help patients and/or providers connect to services related to Social Determinants of Health. Examples include but are not limited to: digital tools that help health systems serve diverse populations, apps for consumers that provide health information based on their community/location, or tools to improve health quality indoors. To learn more about the Social Determinants of Health Innovation Challenge, click here. To pre-register and receive the latest updates, click here. 

For the Home & Community Based Care Challenge, we would like to see creative technologies that support the advancement of at-home or community-based health care. Examples include but are not limited to: coaching app to engage consumers with their healthcare, non-intrusive sensors for at home monitory of acute disease patients, or apps to support caretakers with burnout. To learn more about the Home & Community-Based Care Challenge, click here. To pre-register receive the latest updates, click here. 

Applications open April 29th. All submissions are due June 7th, 2019 11:59PM EDT.

The SDoH Innovation and Home & Community Based Care Challenges are brought to you by the Robert Wood Johnson Foundation and powered by Catalyst @ Health 2.0.

Announcing the Robert Wood Johnson Foundation Social Determinants of Health and Home & Community Based Care Innovation Challenges

The Robert Wood Johnson Foundation (RWJF) has partnered with Catalyst @ Health 2.0 to launch two innovation challenges on Social Determinants of Health (SDoH) and Home & Community Based Care. As a national leader in building a culture of health, RWJF is inspiring and identifying novel digital solutions to tackle health through an unconventional lens.

Health starts with where we live. As noted in Healthy People 2020 social determinants of health are, “conditions in the environments in which people are born, live, learn, work, play, worship, and age... [that] affect a wide range of health functioning, and quality-of-life outcomes and risks.” For example, children who live in an unsafe area cannot play outside making it more difficult for them to have adequate exercise. Differences in SDoH heavily influences communities’ well-being and results in very different opportunities for people to be healthy.

Despite our knowledge on SDoH, the current healthcare system utilizes care models that often fail to take into account the social and economic landscape of communities-- neglecting factors such as housing, education, food security, income, community resources, transportation and discrimination. Little progress has been made on incorporating SDoH into established health care frameworks. Healthcare providers and patients alike either have limited understanding of SDoH or have limited opportunities to utilize SDoH knowledge. RWJF established the “Social Determinants of Health Innovation Challenge” to find novel digital solutions that can help providers and/or patients connect to health services related to SDoH.

Home and community-based care is also important to enable Americans to live the healthiest lives possible. In-patient and long-term institutional care can be uncomfortable, costly, and inefficient. Digital health solutions in the home and community offer opportunities for care that better suit the patient and their loved ones. For example, innovations such as remote patient monitoring (RPM) have created new care models that allow the providers, caregivers, and patients to manage care where a person is most comfortable. RPM serves as a reminder that technologies in the home and community offer alternatives methods to engage the patient, increase access to care, and receive ongoing care. Therefore, RWJF is launching the “Home & Community-Based Care Challenge,” to encourage developers to create solutions that support the advancement of at-home or community-based health care.

The ultimate goal of both challenges is to foster innovations that help people live healthier lives and promote healthier, more equitable communities.

The challenges have two phases. In Phase I, innovators submit tech-enabled solutions addressing the challenge topic. Judges will evaluate the entries and the top five teams who will move onto Phase II. The five semi-finalists will be awarded $5,000 each to further develop their application or tool. Three finalists will be chosen at the end of Phase II to compete at a pitch event! They will demo their technology in front of a captivated audience of investors, provider organizations, and members of the media at a prominent health conference. Judges will select the first, second, and third place winners live. The grand prize winner will be awarded $40,000 for first place, $25,000 for second place, and $10,000 for third place.

With $100,000 in total prizes for each challenge and a number of promotional activities, we strongly encourage innovators to pre-register for the challenges and be notified when the applications open.

Check out the challenge websites below to learn more and make sure to pre-register for the RWJF Social Determinants of Health Innovation Challenge and/or the RWJF Home & Community Based Care Challenge to be notified when applications open on April 29th and submit your digital solution by June 7th.

To learn more about the Social Determinants of Health Innovation Challenge, click here. To pre-register for the challenge and receive the latest updates, click here.

To learn more about the Home & Community-Based Care Challenge, click here. To pre-register for the challenge and receive the latest updates, click here.