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Thought Leaders in Healthcare IT: Raj Agarwal, CEO of Medocity (Part 1)

Posted on Monday, Jan 14th 2019

Mega trends are sweeping through the healthcare space driven by the impact of digital technology. In this conversation, we kick around value-based healthcare, digital therapeutics, etc. and how Medocity is adding value to those use cases.

Sramana Mitra: Let’s start by introducing yourself and Medocity.

Raj Agarwal: I’m the President and CEO of Medocity. We founded Medocity about six years ago. >>>

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Thought Leaders in Artificial Intelligence: Matthew Sappern, CEO of PeriGen (Part 5)

Posted on Monday, Dec 17th 2018

Matthew Sappern: There are a lot of people who feel that artificial intelligence and machine learning is much further along than it really is. There is so much data out there right now. I think that’s an important first step. There’s data and there’s actionable data or what some of my colleagues call the ground truth – information that’s been curated in a way that you’re confident that it’s representative of what it needs to be.

If you’re not using that curated data to teach these machines, then you’re really not generating anything of real value. There is a lot of hard work in coming up with even a nominally accurate algorithm using artificial intelligence. It has taken us years and years to finally get to a point where we’ve got something that we’re confident about. It is not for the faint-hearted. >>>

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Thought Leaders in Artificial Intelligence: Matthew Sappern, CEO of PeriGen (Part 4)

Posted on Sunday, Dec 16th 2018

Sramana Mitra: We’re seeing an increasing amount of AI applications in the healthcare IT domain. I don’t know if you’re familiar with this announcement that we recently made of a European partnership with the European Institute of Innovation and Technology and their digital health arm. 115 companies from Europe are going to be accelerated within the One Million by One Million program. They all have different flavors of all this stuff going on.

Matthew Sappern: Whatever we can do to put care closer to the patient is pretty remarkable. These digital platforms have the triple ability to generate data, interpret that data, and deliver information directly to the patient in milliseconds. You’re seeing more and more people who are much more comfortable with these technologies and using these technologies in everyday life. >>>

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Thought Leaders in Artificial Intelligence: Matthew Sappern, CEO of PeriGen (Part 3)

Posted on Saturday, Dec 15th 2018

Sramana Mitra: In the healthcare space, where are some of the other areas where you see the possibilities of this kind of pattern recognition and interventions based on pattern recognition?

Matthew Sappern: There are so many. Take the ICU for instance. You walk into an ICU. A typical patient has multiple telemetry devices hooked up. You’ve got nurses who are trying to manage all of that for each patient. There’s no normalization of that data. These are areas where if you were able to take tools like PeriGen and apply it to that service line, you could probably figure out how you can manage some of those ICU patients. Why that’s important is because the nurse to patient ratio is a bit less in a step-down unit.

It’s certainly more affordable for hospitals to manage that. It’s a more economic approach to managing healthcare that is ultimately made possible >>>

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Thought Leaders in Artificial Intelligence: Matthew Sappern, CEO of PeriGen (Part 2)

Posted on Friday, Dec 14th 2018

Matthew Sappern: Where computers are so helpful with that, as you can imagine, is computers don’t get tired. They’re not getting  coffee or arguing with someone. They look at the same series of data the same way every time. Once we figured out the ability to interpret these waves, we’re able to let the doctors or nurse know when there’s an issue at hand. >>>

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Thought Leaders in Artificial Intelligence: Matthew Sappern, CEO of PeriGen (Part 1)

Posted on Thursday, Dec 13th 2018

I have been talking about the applications of AI on Healthcare IT problems. Here is a great case study.

Sramana Mitra: Let’s start by having you introduce yourself as well as PeriGen to our audience.

Matthew Sappern: I’m the CEO of of PeriGen. PeriGen is a software developer. We make software as a medical device. We’re FDA-cleared. Our primary goal is to build software that helps clinicians prevent adverse outcomes in childbirth, which is a pretty important task.

Sramana Mitra: Double-click down on that and explain what exactly are we talking about. Give us a use case and talk us through how this works. >>>

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Thought Leaders in Healthcare IT: Mark Redlus, CEO of Tridiuum (Part 4)

Posted on Saturday, Dec 8th 2018

Sramana Mitra: What is the competitive landscape around you?

Mark Redlus: We’re in a really interesting space. We’re in a convergent space of a bunch of different tech players and competitors. I wouldn’t say we have a direct competitor. I would say we have some really interesting adjacencies. Those adjacencies are folks who are doing pure big data plays that are mining through payor data looking for high-risk individuals. They are firmly backed in the back office.

Then you’ve got folks who are spending more time directing actual treatment or health coaching support through tele-based products and platforms. We sit dead in the middle of that supporting this idea of using big data. That starts at the patient level, aggregating that data up, and >>>

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Thought Leaders in Healthcare IT: Mark Redlus, CEO of Tridiuum (Part 3)

Posted on Friday, Dec 7th 2018

Sramana Mitra: There are a couple of trends questions that I want to ask you. What are the adoption trends in your hospital system customer base? What percentage of the hospitals are doing something like this with you right now?

Mark Redlus: Adoption rate is woefully small. We’re in the early adopter phase. We’re not at the bleeding edge, but it’s certainly in the front side of the wave. Intellectually, they know that behavioral health is a lever they can pull in cost of care. I don’t think, practically, they have a way to embrace that.

A lot of the workflow processes that you would just naturally assume are present in health systems are impediments to bringing in >>>

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