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Clinical Insights from Social Media Data: Amplifying Patient Voice with Symplur

Posted on May 31, 2017 I Written By

Healthcare as a Human Right. Physician Suicide Loss Survivor.
Janae writes about Artificial Intelligence, Virtual Reality, Data Analytics, Engagement and Investing in Healthcare.
twitter: @coherencemed

What data from social media can help healthcare organizations?

One of the biggest challenges of online and social data is the sheer volume of unstructured data. Can your physician read all your tweets and postings? Hopefully not. Physicians have data and work overload, a daily report of steps taken from activity trackers or online social media use hurts their ability to treat patients. HealthIT solutions can help process this data and find patterns and changes.

I had a conversation with Audun Utengen about actionable insights into healthcare from his company, Symplur. At Datapalooza he participated in a panel and mentioned the rich amount of patient data that can be found on twitter (shocked gasp followed by a furrowed brow). Symplur signals tracks online engagement.  You can find healthcare insights from conversations really quickly. They provide tools that help healthcare providers get patient insights where they are naturally interacting. There is value in meeting patients where they are, and patients are discussing their healthcare online.

Originally, the assumption was that patients would not say things online. Sensitive topics do not naturally show up in social media use- fewer people are discussing gonorrhea online than receive treatment for gonorrhea. Providers assumed that things which are protected patient information would not show up on twitter. They were wrong. As most social media users know- it’s shocking what people will post online. Not every aspect of health is on twitter but patients want to engage online.  They go to twitter because they want their voices to be heard. They want things to change. They can’t be ignored on twitter. They want their voices to be heard by people in decision-making positions.

Patient’s online discussion have positive impacts on organizations. The key is to be proactive about patient engagement online. Stanford did a study looking about patients’ engagement at conferences. Typically, you will find 1 patient in the top 1 percent of influencers. While this number is low, conferences which have a higher percentage of patients active as top influencers have a greater reach. Want to increase your Healthcare voice and conference audience? Engage patient advocates online. Engaging patients is commercially valuable in amplification. Future patients get more insight as well.  Audun Utengen and I looked at the data from Datapalooza and found that 11 of the top 100 influencers were patients.  That is way ahead of the median number for all healthcare conferences- in 2016 the average number of top influencers that were patients at a conference was one.

“They did a great job giving patients a voice at the conference. I am impressed.”

-Audun Utengen, Co-Founder of Symplur

Healthcare Stakeholder breakdown of the top 100 influencers ranked by the Healthcare Social Graph Score.

Datapalooza had a higher than average reach and a unique blend of participants. Audun Utengen described some of the unique features of the conference:

“The social conversation from the conference was very dynamic. From the 9,366 tweets, 80% included at least one mention. Lot’s of connections were made and we witnessed the typical “flattening of healthcare” that social media is known for by breaking down the barriers between the stakeholder groups. Below is a network analysis graph showing the flattening and the conversational patterns between Twitter account and their healthcare stakeholder groupings.”

Conversations blend between different stakeholders in the healthcare conversation at Datapalooza

The ability for many stakeholders to access information and interact with each other in one place is one of the advantages of twitter. Using hashtags can help stakeholders learn about content about a specific topic quickly. One of the things Symplur is allows is the visualization of keywords surrounding conversations on twitter. When looking at the conversations from Datapalooza the topic of “patients” was very high. Unsurprisingly, “data” is the topic of focus. Patient, Health and Patients rounded out the top conversation topics.

Keyword Frequency Analysis Graph

Symplur Signals have been used for over 200 healthcare studies. They partner with academic research centers seeking more information from online conversations. Companies can also look at competitors in their area and see how they compare. Does a nearby provider have more positive mentions on social media?

Data from online interactions can also give insights into patient health. Social usage has unique implications for mental health. Frequently, online behavior change can predict mental health change. Pediatricians and Providers are in a position to see online behavior in their area and help families understand the implications. If bullying is a problem in your area providers can know their patients will have higher stress levels and provide resources and support. Certain behaviors and even emojis indicate a higher risk of depression. A suicide that will predictably happen based on social data will not show up in clinical records. Listening to what patients want us to hear will help provide greater support.

The sheer volume of social data can mask its usefulness. Online activity and data can be difficult to process for many clinicians. In a world of ever-increasing data and patients reporting everything from steps taken a day to now online behavior many providers have data overload. Data insight tools such as Symplur filter data into a format that allows physicians and systems to use it to improve patient outcomes.

The Sexiest Data in Health IT: Datapalooza 2017

Posted on May 15, 2017 I Written By

Healthcare as a Human Right. Physician Suicide Loss Survivor.
Janae writes about Artificial Intelligence, Virtual Reality, Data Analytics, Engagement and Investing in Healthcare.
twitter: @coherencemed

The data at this conference was the Best Data. The Biggest Data. No one has better data than this conference.

The sexiest data in all of healthIT was highlighted in Washington DC at Datapalooza April 27-28, 2017.  One of the main themes was how to deal with social determinants of health and the value of that data.  Sachin H. Jain, MD of Caremore Health reminded us that “If a patient doesn’t have food at home waiting for them they won’t get better” social data needs to be in the equation. Some of the chatter on the subject of healthcare reform has been criticism that providing mandatory coverage hasn’t always been paired with knowledge of the area. If a patient qualifies for Medicaid and has a lower paying job how can they afford to miss work and get care for their health issues?
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Rural areas also have access issues. Patient “Charles” works full time during the week and qualifies for Medicaid. He can’t afford to miss a lot of work but needs a half a day to get treatments which affect his ability to work. There is no public transportation in his town to the hospital in a city an hour and a half away. Charles can’t afford the gas or unpaid time off work for his treatment.

Urban patient “Haley” returns to her local ER department more than once a week with Asthma attacks.  Her treatments are failing because she lives in an apartment with mold in the walls. As Craig Kartchner from the Intermountain Healthcare team responded to the #datapalooza  hashtag online- These can be the most difficult things to change.

The 2016 report to Congress addresses the difficulty of the intersection between social factors and providing quality healthcare in terms of Social Determinants of Health:

“If beneficiaries with social risk factors have worse health outcomes because the providers they see provide low quality care, value based purchasing could be a powerful tool to drive improvements in care and reduce health disparities. However, if beneficiaries with social risk factors have worse health outcomes because of elements beyond the quality of care provided, such as the social risk factors themselves, value based payment models could do just the opposite. If providers have limited ability to influence health outcomes for beneficiaries with social risk factors, they may become reluctant to care for beneficiaries with social risk factors, out of fear of incurring penalties due to factors they have limited ability to influence.”

Innovaccer just launched a free tool to help care teams track and monitor Medicare advantage plans. I went to their website and looked at my county and found data about the strengths in Salt Lake where I’m located. They included:

  • Low prevalence of smoking
  • Low Unemployed Percentage
  • Low prevalence of physically inactive adults

Challenges for my area?

  • Low graduation rate
  • High average of daily Air pollution
  • High income inequality
  • High Violent crime rate per 100,000 population

Salt Lake actually has some really bad inversion problems during the winter months and some days the particulate matter in the air creates problems for respiratory problems. During the 2016-2017 winter there were 18 days of red air quality and 28 days of yellow air quality. A smart solution for addressing social determinants of health that negatively impact patients in this area could be addressing decreasing air pollution through increased public transportation. Healthcare systems will see an increase in cost of care during those times and long term population health challenges can emerge. You can look at your county after you enter your email address on their site. This kind of social data visualization can give high level insights into the social factors your population faces.

One of the themes of HealthDataPalooza was how to use system change to navigate the intersection between taking care of patients and not finding way to exclude groups. During his panel discussion of predictive analytics, Craig Monson the medical director for analytics and reporting discussed how “data analytics is the shiny new toy of healthcare.”    In addition to winning the unofficial datapalooza award for the most quotes and one liners – Craig presented the Clinical Risk Prediction Initiative (CRISPI).  This is a multi variable logistic regression model with data from the Atrius health data warehouse. His questions for systems to remember in their data analysis selection are “Who is the population you are serving? What is the outcome you need? What is the intervention you should implement?”

Warning- Craig reminds us that in a world of increasing sexy artificial intelligence coding a lot of the value analysis can be done with regression. Based on that statement alone I think he can be trusted. I still need to see his data.

CRISPI analyzed the relative utility of certain types of data, and didn’t have a large jump in utility when adding Social Determinant Data. This data was one of the most popular data sets during Datapalooza discussions but the reality of making actionable insights into system improvement? Craig’s analysis said it was lacking. Does this mean social determinant data isn’t significant or that it needs to be handled with a combination of traditional modeling and other methods?  Craig’s assertion seemed to fly in the face of the hot new trend of Social Determinants of Health data from the surface.

Do we have too much data or the wrong use of the data? Most of the companies investing into this space used data sources outside the traditional definition to help create solutions with social determinate of health and Patient outcomes. They differed in how they analyzed social determinant data. Traditional data sources for the social determinants of health are well defined within the public health research.  The conditions in which you work and live impact your health.

Datapalooza had some of the greatest minds in data analytics and speakers addressed gaps in data usefulness. Knowing that a certain large county wide population has a problem with air quality might not be enough to improve patient outcomes. There is need for analysis of traditional data sources in this realm and how they can get meaningful impact for patients and communities. Healthcare innovators need to look at different data sources.  Nick Dawson, Executive director of Johns-Hopkins Sibley Innovation Hub responded to the conversation about food at home with the data about Washington DC.  “DC like many cities has open public data on food scarcity. But it’s not part of a clinical record. The two datasets never touch.” Data about food scarcity can help hospital systems collaborate with SNAP and Government as well as local food programs. Dawson leads an innovation lab at Johns Hopkins Sibley where managers, directors, VPs and C Suite leaders are responsible for working with 4 innovation projects each year.

Audun Utengen, the Co Founder of Symplur said “There’s so much gold in the social media data if you choose to see it.” Social data available online helps providers meet patients where they are and collect valuable data.  Social media data is another source to collect data about patient preferences and interactions for reaching healthcare populations providers are trying to serve. With so much data available sorting through relevant and helpful data provides a new challenge for healthcare systems and providers.

New Data sources can be paired with a consultative model for improving the intersection of accountable care and lack of access due to social factors. We have more sophisticated analytic tools than ever for providing high value care in the intersection between provider responsibility and social collaboration. This proactive collaboration needs to occur on local and national levels.  “It’s the social determinants of health and the behavioral aspects that we need to fund and will change healthcare” we were reminded. Finding local community programs that have success and helping develop a strategy for approaching Social Determinants of Health is on the mind of healthIT professionals.

A number of companies examine data from sources such as social media and internet usage or behavioral data to design improvements for social determinants of health outcomes.   They seek to bridge the gaps mentioned by Dawson. Data sets exist that could help build programs for social determinants of health.  Mandi Bishop started Lifely Insights centered around building custom community plans with behavioral insights into social determinant data. Health in all Policies is a government initiative supporting increased structure and guidelines in these areas. They support local and State initiatives with a focus on prevention.

I’m looking forward to seeing how the data landscape evolves this year. Government Challenges such as the Healthy Behavior Data Challenge launched at Datapalooza will help fund great improvements. All the data people will get together and determine meaningful data sets for building programs addressing the social determinants of health. They will have visualization tools with Tableau. They will find ways to get food to patients at home so those patients will get better. Programs will find a way to get care to rural patients with financial difficulty and build safe housing.

From a healthcare delivery perspective the idea of collaborating about data models can help improve community health and decrease provider and payer cost. The social determinants of health can cost healthcare organizations more money than data modeling and proactive community collaboration.

Great regressions, saving money and improving outcomes?

That is Datapalooza.

ONC Annual Meeting – Who’s Going?

Posted on January 28, 2015 I Written By

When Carl Bergman isn’t rooting for the Washington Nationals or searching for a Steeler bar, he’s Managing Partner of EHRSelector.com, a free service for matching users and EHRs. For the last dozen years, he’s concentrated on EHR consulting and writing. He spent the 80s and 90s as an itinerant project manger doing his small part for the dot com bubble. Prior to that, Bergman served a ten year stretch in the District of Columbia government as a policy and fiscal analyst.

ONC’s Agenda – February 2-3, Washington, DC

Next Monday, ONC holds its annual meeting in downtown DC. I’m going, one small advantage of living here. Here’s the agenda. To see day two, click on the agenda header.

I’m particularly interested in these topics:

  • Adverse event reporting,
  • Interoperability standards,
  • Meaningful Use program’s future, and
  • Usability.

Looking at the agenda, I should stay busy with one exception. There isn’t much on usability. The word’s only on the agenda once. Not a surprise since ONC has pretty much relinquished any role to the vendors.

How important do you think the ONC meeting and also the ONC run Healthdatapalooza now that meaningful use has kind of run its course? Will these two meeting gain steam and influence or will organizations start to go other places? I’ll be interested to watch that trend as I attend the event.

If you can’t attend, you can follow on various webcasts and twitter. If you do plan to attend, I’d love to see you there. To email me, click on my name in my profile blurb, or at carl@ehrselector.com.