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FEATURE:

AI Champions
05/12/2023


GENERATING A HOLISTIC PICTURE OF HEALTH WITH AI

Author: Gemma Lovegrove

Gemma is Managing Editor at AIMed, with responsibility for engaging and growing
the AIMed community and to highlight stories of health AI in action. An
experienced science graduate with a background in veterinary and nonprofit
sectors, she also volunteers as a Wish Granter for Make a Wish UK.



Ahead of his “Leveling up Access to Care” panel participation at the AIMed
Global Summit 2023, Dr. Arta Bakshandeh, Chief Medical Information Officer for
Alignment Health on providing personalized end-to-end coordination of healthcare

What initially sparked your interest in medicine, and how have you seen
healthcare technology evolve since then?

Since I was young, I always felt medicine chose me. Maybe it’s situational
awareness, but I always felt like there was a medical emergency or necessity
around me. My response was to learn medicine and adapt to help those who needed
it. Since I began practicing medicine, the healthcare industry has continued to
evolve and adapt to meet the changing needs of patients and our communities.
We’ve adopted electronic medical records and now use robotics for precision
surgery and carry wearable tech to monitor our vitals. These aren’t just fads –
they are helping improve patient outcomes and experiences. For instance, we saw
the use of telemedicine increase significantly at the onset of the COVID-19
pandemic, and people are still using it today. We’re at a critical inflection
point as technology advances at incredible speed – in the midst of artificial
intelligence-powered diagnostics and predictive analytics, we cannot diminish
the value of human interaction, compassion, and empathy.

What are your main priorities as Chief Medical Informatics Officer for Alignment
Health?

As chief medical informatics officer, I serve as Alignment Health’s clinical
data science partner and subject matter expert in the development and
implementation of the company’s integrated health experience platform AVA®,
which functions as our healthcare ecosystem through a unified data layer that
powers over 35 modules and applications. My priority is to work with the end
users in developing machine learning (ML) models (170 thus far) that will help
solve real problems and change how we care for patients. For example, our
general admission model prioritizes outreach and enrolls patients into our Care
Anywhere program, which provides care at home and 24/7 access to clinicians who
know the patient’s health journey and history. Also, I make sure we are focusing
on routing out bias in the data and evaluating correlation vs. causality in our
models while providing our end users with machine-agnostic explanations to help
guide intervention.  

Where do you see the value of AI in population health?

AI can bring significant value to population health by providing tools and
technologies to help healthcare professionals better understand and address
health issues both at the macro population level and individual level, such as
using it to monitor social determinants of health in real-time. For example, at
Alignment Health, we use AVA to provide personalized end-to-end coordination of
healthcare for all our members. Powered by AI, AVA collects thousands of data
points to generate a holistic picture of each member’s health and the broader
population as a whole. What makes any AI technology powerful is what it empowers
care teams to do. With AVA, we can stratify members based on health status and
social needs so care teams can reach out proactively to the most vulnerable
members with timely, coordinated care. We also can predict the risk for
hospitalization and disease propensity, before early warning signs turn into a
true emergency. AI will increasingly streamline and improve personalized care,
save providers and payers money and time, and enable payers to invest savings
back into their members’ benefits.

What are the main challenges you face in your clinical practice, and to what
extent do you see artificial intelligence helping to solve these?

One challenge is information overload. Healthcare professionals are inundated
with vast amounts of data – from patient records to labwork – and it can become
difficult to make informed decisions. We spend a lot of time doing
administrative work rather than seeing to the patient’s health needs. AI can
help lessen the administrative burden to improve patient outcomes through means
such as risk prediction, readmission rate monitoring, and tracking the
escalation of diseases.

We are thrilled to have you as a panelist at AIMed’s Global Summit. What are you
most looking forward to about the session – and the event as a whole?

I’m looking forward to attending the Global Summit and being on a panel with
other leaders to discuss how we can make a difference in population health
outcomes through artificial intelligence. This event as a whole presents an
excellent opportunity for us to come together and share our ideas and insights
and knowledge, which can lead to a greater understanding of the future of health
care.

What advice would you give someone starting their career in medicine or medical
AI?

Don’t go into medicine for money or prestige. My cousin, a board-certified
dermatologist, said that to me. She was already a resident in Miami around the
time when I was applying for medical school. I remember her asking about my
decision and my reply was that I wanted to go into medicine because of all these
things that have happened in my life, and I feel like I need to test myself to
see if I can do it intellectually. She said if you want to do it for money or
prestige, don’t, because they aren’t there. It’s very true. People overlook
clinicians’ sacrifices from a family and time perspective.

For those who want to pursue a career in medical AI, it’s important to gain a
solid foundation in both medicine and computer science and learn the basics of
machine learning and AI. Familiarize yourself with the key basics as there are
key technologies used in medical AI. There are many online resources or courses
available to learn these skills. Also, stay up to date with the latest research
and news as medical AI is a rapidly growing and evolving field with new research
and developments happening all the time.

Dr Bakshandeh is speaking at AIMed’s Global Summit scheduled for June 4-7th 2023
in San Diego. Book your place now!

We believe in changing healthcare one connection at a time. If you are
interested in the opinions in this piece, in connecting with the author, or the
opportunity to submit an article, let us know. We love to help bring people
together! gemma@ai-med.io 

Dr. Arta Bakshandeh is chief medical informatics officer for Alignment Health, a
tech-enabled Medicare Advantage company championing a new path in senior care.
Dr. Bakshandeh – or Dr. B. – began his career as a hospitalist and quickly
became a medical director building care models for patients with Medicare and
Medicaid. He joined the Alignment family in 2014 to help build Alignment’s
clinical model and clinical command center. He works side-by-side with data
scientists to develop and implement Alignment’s clinical data analytics
platforms and home monitoring programs for patients with chronic illnesses. To
date, he has been integral in deploying over 170 data science models across
clinical and health plan operations. Outside of Alignment, he is an assistant
clinical professor of internal medicine at the Keck School of Medicine of the
University of Southern California (USC) and CoCEO of Global Physicians Corps, an
NGO providing sustainable care in Tanzania and Ethiopia. In addition, he
continues to work on the front lines treating patients statewide both in the
hospital and virtual settings.


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