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DATA AND HEALTHCARE TRANSFORMATION: ACCELERATING TOWARDS BETTER HEALTH

 

The constant across all healthcare organizational change is system
transformation through information — making data more accessible, more
explorable, and ultimately more actionable.

At Reuters Total Health conference in Chicago, Josh Rubel, CCO of MDClone had
the opportunity to co-present on this topic with Jonathan B. Perlin, M.D.,
Ph.D., M.S.H.A., M.A.C.P., F.A.C.M.I., President &  Chief Executive Officer of
The Joint Commission. The conversation focused on the trends, opportunities,
barriers, and structures that allow transformation to take place within the
healthcare sector.

> “Many technologies are focusing on the bespoke nature of the sorts of
> analysis. We don’t know what questions people are going to ask tomorrow, but
> we know they’re going to ask many questions. And there’s always a follow up
> and another follow up.””

— Josh Rubel, CCO, MDClone

The reality is, when caring for patients (COVID-19 is a great example) the
requirement associated with refining the questions you’re asking is necessary so
that you can care for the patients that show up tomorrow. But there’s a big
problem with predictive questioning. Professionals in the industry all need to
be curious and take action in order to scale.

> “Health information is the currency of healthcare. This is nothing new, but
> the truth is, other currencies are no longer acceptable. Whether it is
> information supporting a healthcare provider, or researcher, or for a
> performance evaluation, the best data is a mashup of traditional and
> non-traditional sources.””

— Dr. Jonathan B. Perlin, President & CEO, The Joint COmmission
Rubel: How promising is the transformation and the use of healthcare data?

Perlin: There is so much promise. It is the capacity to go to scale and to
accomplish what we have intended but have not necessarily been able to
accomplish prior. To go to scale on equity, for example, we need to bring in
social determinants data. To bring in this data, we need to reach outside of
electronic medical records (EMRs) and be able to combine that information with
clinical data to be as effective as possible.

Finding information in the data is a big challenge. The problem is establishing
the pattern of data and unlocking its potential. That potential is the key to
shortening the cycle of research and proactively taking better care of patients.

One of the frustrations the industry sees collectively is that we haven’t been
able to get the information out of the EMR. How many transformative answers
exist within the data that we’ve already created? The real opportunity is how we
harvest that information to reap the data dividend and the return on
information.

Rubel: Expertise, time, and tools are required to make data driven
transformation a reality. What should we expect in the future to accelerate this
new reality?

Perlin: Historically, we have been scaling by brute force and use of labor but
have not always been scaling systematically.

Before joining The Joint Commission, my previous position was as President,
Clinical Operations, and Chief Medical Officer at HCA Healthcare. By October
2020, HCA had collected more data on COVID patients than any other healthcare
organization, potentially in the world. Holding this information, we asked
ourselves, “Is there something we can do to share data with others to accelerate
the understanding of COVID and its treatment more quickly?”

We were able to answer many questions – but only those questions that we
anticipated the captured data elements might answer. That's useful, but the real
power of going to scale is having a system where the data flows through the EMR
system, and data from other sources goes into an integration engine that allows
users to not only answer questions that are anticipated, but also answers
questions that were not anticipated. It is at this point when, I believe the
magic happens.

Rubel: What gets in the way when health systems try to go through this journey
of data exploration?

Perlin: People, process, and technology – and money is a subset of all three of
those. In terms of people, we need to reskill and upskill from business
analytics to data science. We need to not just focus on descriptive and
diagnostic but to go up the hierarchy to predictive, prescriptive, and
autonomous. In terms of process, we need to increase the automation and make use
of clouds to bring information together in different ways. And with technology -
it all can be scaled.

Forward-looking, data alone is not enough. Making all clinicians, physicians,
providers, and healthcare workers into users of data will allow for a more
predictive future.

From business analytics to data sciences, from insights to action for
transformation because data is inert, data exploration must include those
processes to find its value and the technology for scalable disruptive
actionability.

“Implementing the right technology and empowering clinicians and researchers to
embrace data within their workflow can impact healthcare organizations
exponentially,” said Rubel. “With the right infrastructure in place, data can be
put into action to truly transform healthcare.” 

 
How are you putting data into action and transforming healthcare?

What roadblocks are difficult to overcome in regard to data access and analysis?

Innovation is only a question away.




LEARN MORE →

 

Submit your questions about data privacy and data exploration here or connect
with Josh Rubel to further the conversation.

Special thanks to Dr. Jonathan B. Perlin, President & Chief Executive Officer,
The Joint Commission, for joining MDClone on stage and at the Reuters event.
Your expertise, leadership, and insights were invaluable to our team.

 
Event, ResearchJenna CardaOctober 28, 2022MDClone, synthetic data, research,
operations
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UNCOMPLICATED INNOVATION: UNLOCKING REAL-WORLD HEALTH DATA FOR EXTERNAL
PARTNERSHIPS

Event, Life Sciences, ResearchJenna CardaJanuary 18, 2023MDClone, synthetic
data, operations, life sciences
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USER EXPERIENCE: APPLYING SYNTHETIC DATA TO ACCELERATE RESEARCH INVESTIGATIONS

Research, Synthetic DataJenna CardaSeptember 29, 2022MDClone, ADAMS, User
Experience, synthetic data
 
 


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