Communities, Platforms & Data- How to Engage Patients Using Data, Social Media and Games

7/27/2019 Communities, Platforms & Data- How to Engage Patients Using Data, Social Media and Games

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Welcome, I am Bonnie Feldman, also known as @DrBonnie360, a provider, digital

health analyst and business development consultant. Like all of us, I am also a patient.

As the creator and moderator, I am excited to bring you a panel entitled Community,

Platforms and Data- How to engage patients using data, social media and games. I

bring you three distinguished panelists known for their innovative forward looking

thinking:

1. First we have Dan Conroy-head of business development at Aetna Care Pass

2. Second we have Anmol Madon- the CEO and Co-founder of Ginger.io

3. Third, we Bruce Springer, the CEO of OneHealth


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Have you woken up in the middle of the night with a burst of creativity?

The idea for this panel came to me as one of those middle of the night bursts. How

lucky am I to see this come to fruition. After practicing dentistry, then working all overWall Street, in my first digital health research journey, Mobile Social Games for Health, I

explored lots of fun dashboards: apps that use gaming mechanics and online social

networks to nudge individual behavior change.

Next in Big Data Hype and Hope- where I got hooked on understanding the workings

under the hood I looked at how data was collected, managed, analyzed and applied

by users.


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MyAh hah! moment in my research journey is when I discovered an evolving

ecosystem of experimenters across the health/wellness and disease spectrum. After

interviewing more than 125 companies, and attending more than 25 meetings over the

last few years, I have seen how these mobile tools with 24/7 access can:

1.Support self improvement

2.Extend the reach of our healers

3.Leverage the expertise of one to many

Today, we will explore how big data is converging with the mobile social games

revolution to enable new tools for personal wellness and disease management.

Pioneering companies such as Aetnas Care Pass, Ginger.io and One Health are using

the increasing power of computational sensors and data analytics. Mobile devices,

gaming mechanics, social networking and crowdsourcing is enabling pioneering

companies, to create and use health data in new ways.


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Social media is one of our new health tools. As we now all know in the wake of the

recent NSA revelations:

Our new tools include metadata: tracking time and place, through mobile devices and

social networking.

Unlike spying, in our field, I find a growing emphasis on positive peer-to-peer

connections: using data as well as metadata.

There is an enormous amount of primary data being generated by healthcare social

networks.

These online social networks offer elements of fluidity and flexibility not seen in the

offline world. With no limits on geography or network size or number of networks -

personalized networks can be custom-created, easily assembled and disassembled,

depending on changing personal preferences and needs.

So, social networks using personalized peer-to-peer networks could become useful

external motivators for spurring healthy behaviors.

Social media data can enrich the patient profile by adding lifestyle/behavior data such

as patient-reported data, social media posts, socioeconomic data. Metadata fits here,

tooactivity, geolocation, timing.

Yet eo le are com lex and influencin ever da choices is not a one-size-fits-all


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As the ecosystem is evolving so are the data sources. As you can see in this visual,

health data comes from a large variety of sources and can include both structured and

unstructured data.

For this panel discussion, we will focus on the area on the right with mobile smart

phones and social media, where companies such as

1. OneHealth and Ginger.io give real time behavioral data

2. Aetna Care Pass which has fitness data


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Who is using this data and how?

The big sources are also the big users, as you can see in this visual they include:

1. Payers

2. Providers

3. Employers

For the purposes of this panel we will focus on the users on the right side of this visual:

1. Patients2. Insurers

3. Employers


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As a practicing dentist and then again during my research, I wondered what role can

data play in closing the feedback loop that will nudge behavior change?

When you think about it, everyone engaged in healthcare is in the behavior change

business. As shown in this visual, for an individual patient or consumer a simple

feedback loop can be described as:

1.The user engages with the mobile tool;

2.data is captured;

3.feedback is delivered back to the consumer.

This could be a simple reward system to encourage flossing your whole mouth one time

per day.

More complex feedback loops involve multiple iterations such as changing your

sleeping routine or your eating and exercise patterns. On a population level, a feedback

loop might be to reduce smoking or when the government has opened its databases to

encourage more open data sharing. Ginger.io will give us a view of how they are using

population level feedback loops.


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The ultimate goal of engagement is to get us to take better care of ourselves, both

individually and collectively.

Engagementhas been a popular topic of late, with HIMSS writing a book and doing ameetup while Health Affairs devoted the entire February issue to the topic. In fact,

engagement has been called the holy grail of healthcare. What is interesting to me, as

a scientist and provider is that is that no one can agree on the what it is .


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In this panel, we will examine how CarePass, Ginger.io and OneHealth are using mobile

tools and data to help us take better care of ourselves.

On the dashboard, we will see how they think about patient engagement and how theyare approaching behavior change using an active and passive data collection, elements

of game mechanics and a variety of social support techniques. We will also dive under

the hood to give us insights into the how they collect, analyze and turn their data into

usable information today and in the future.

It will be fun to see and hear the different perspectives, so get your questions ready.


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We will kick off the discussion portion of the panel with some of the issues and

challenges facing each of our panelists including:

Privacy

SecurityData Sharing

Timeliness of data

Citizen Science

Individual empowerment versus institutional resistance

Institutional goals vs individual resistance


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Documents

Communities, Platforms & Data- How to Engage Patients Using Data, Social Media and Games