HealthIMPACT’s upcoming events for 2017 (US)

The HealthIMPACT series of mainly single-day events on health tech/HIT’s effect on healthcare now covers several major cities in the US. What this Editor likes about them is that they compress a great deal of information in a single day, with well-presented, relaxed panel discussions with top executives and figures in the industry. They are also held in interesting venues like the Union League Club in NYC. Panels are being hosted this year by former colleagues from Health 2.0 NYC Megan Antonelli of Purpose Events and “The Healthcare IT Guy” Shahid Shah, with new vice chair Mandi Bishop, a HIT entrepreneur who was a Challenge Competitor at #MedMo16. Here’s the HealthIMPACT schedule with links to the individual events:

HealthIMPACT Southwest
Texas Medical Innovation Center | TMCx
April 4th, 2017  Receive a 20% discount off registration–use HIEB2017

HealthIMPACT Southeast
Florida Hospital Innovation Lab, Werner Auditorium, Orlando, FL
May 4th, 2017

HealthIMPACT East
Union League Club, New York, NY
June 5th, 2017 (note that this is a new date, changed from the date on the website)

HealthIMPACT WISE/Women in Information Science Retreat
Sundance Mountain Resort, Sundance, UT
June 23-25, 2017

HealthIMPACT Midwest
Matter Health, Chicago, IL
September 14, 2017

HealthIMPACT West
San Francisco, CA, October 7, 2017

TTA is a media partner of HealthIMPACT for 2017.

Patients as People: creating clinically relevant social insights (part II)

Guest Editor Sarianne Gruber (@subtleimpact) continues her interview of Mandi Bishop, founder and Chief Evangelist of Aloha Health. Ms Bishop’s goal with Aloha Health is to put the ‘patient as person’ into the present healthcare model. Ms Gruber interviewed Ms Bishop at #MedMo16 where Aloha Health won the People’s Choice award in the Equity Crowd Challenge. The first half of the interview was previously published in Part I.

How does Social Determinants Of Healthcare (SDOH) data relate to me as a patient?

Bishop: SDOH attributes are available both the individual patient level and a “high propensity that this is you” level via micro-segmentation. Optimally, there will be personalization of information where personalization is possible and micro-segmentation profiles for when it is not.  Also, we are not trying to give the doctor more data since we think that is a big part of the problem.  “What about your lifestyle” matters which respect to you as a patient, and we at Aloha Health convert that data into insights.  When the doctor pulls up an encounter, based on our models, the EHR is populated with the insights that are available about you and your conditions.

As a workflow example, I pull up your encounter.  Aloha then pings the Aloha insights section and gets all this information about you. This is the use case we are going after:  a diabetic patient and this is the demographic information we are going after about that person.  Pertinent and clinically relevant information would be pulled up about you and on your profile.  We are only showing things that matter.  The fact that you are a 40-year woman is information the doctor already knows.  But the fact that you are a single mother, who just got divorced 3 weeks ago, is caring for an elderly parent, and has all of these other “things”, all of these “things” would influence your ability to have an insulin pump.

What makes SDOH data a must have for patient engagement and patient-centered care? (more…)

Patients as People: creating clinically relevant social insights (part I)

Guest Editor Sarianne Gruber (@subtleimpact) reviews how one of the #MedMo16 Crowd Challenge winners, Aloha Health, has the ambitious goal of putting the ‘patient as person’ into the present healthcare model. They aim to provide and integrate into the patient record social factors and the context of everyday life, including environmental factors.

“The need to see patients as people is very real. It is an ideal that will drive healthcare transformation.”  Mandi Bishop (@MandiBPro) Founder & CEO of Aloha Health (@Aloha_Health).

Mandi Bishop prefers to be called the Chief Evangelist rather than the Chief Executive Officer.  Her new start-up, Aloha Health, launched this past July and she is making considerable traction.  I caught up with Ms. Bishop in New York at MedStartr Momentum, an equity Crowd Challenge, where she won the People’s Choice award. (Congratulations to Mandi and the Aloha Health team!)

Here is an edited transcript of our conversation.

What makes Aloha Health “unique” as a healthcare data and analytics company?

Bishop: Aloha Health was designed with a singular mission – to allow providers, care managers, and people who are participating in the patient’s care to “view” a patient as a person.  All contextual information about “you” is what makes you unique. This view of  “clinically relevant social determinants” is important because it impacts  your ability to manage your health on many levels such as your ability to follow instructions, how you  interpret information,  who you trust and how you engage. It is really important because we [providers] are all pressed for time. We are already seeing the patient revolution and hearing a lot of talk about engaging patients.  Aloha Health is providing an opportunity to see patients as people without imposing additional time. We give you specific insights to help you see your patients as people.

How do see non-clinical insights adding value to value-based care metrics?

Bishop: As our industry moves from volume to value and from fee for service to more programs like comprehensive joint replacement and bundled payment methodologies such as ACO models. These types of shared savings programs involve shared risk. When you have a capitated payment structure where you are being asked to manage the care of an entire population, including people with a set number of funds. Obviously, you have to find ways to be very effective in that care delivery. You have to understand all the things about that population, and each patient as an individual to help him or her to help themselves become healthier.  In turn, this saves money for organizations through improved health outcomes.

What types of data would be considered as the “other 95 percent”?

Bishop: The first 5 percent of the health data happens in the clinical setting.  The remaining data is what we refer to as the “other 95 percent” and is what happens at home, at work, and in the environment.  (more…)