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Digital Health 101

Explore the pain points in healthcare, and how digital technologies can help solve them
Digital Health 101
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Takeda Canada Innovation Challenge-, 2022

Latest From Series

What is computer vision? How do computers see?

What can computers see, and what can they do with that information? These are just some of the few questions we answer as we learn more about our outstanding guest in this episode, Meghan Conroy.  Meghan shares how CAPTUREPROOF was born, what camera vision is, how it works, and its other applications. She discusses how her company adds value to healthcare through images, providing excellent examples of companies she has worked with. Meghan also shares her thoughts and insights on using camera vision in diagnostics and more! Computer vision is a promising application and can be used to create a visual record of an improvement, so make sure to tune in and enjoy. About Meghan Conroy Meghan is the CEO & Founder at Captureproof Inc. Before CAPTUREPROOF, she also founded bH, a clinical trial photo management company. Her background in Physiology led her to work in big Pharma for many years.  Meghan is also a photographer, and her work was exhibited in Chicago, San Francisco, Paris, and London.  Key Takeaways Through evolution, our brain was trained to read visual images in 13 seconds.  It takes our eye 150 milliseconds to blink.  Color can be a very compelling aspect of a diagnosis in medicine.  Visual data can solve so many problems in healthcare. 30% of our ER visits for patients over 65 are due to fall.  There are opportunities for diagnosis across disease states or specialties. Visual data crosses all barriers. Resources Website: https://captureproof.com/ LinkedIn: https://www.linkedin.com/in/meghan-conroy-281a97/ Twitter: @meghanconroy
December 8, 2021

How can you achieve Interoperability and protect privacy?

One of the significant problems in healthcare is the lack of interoperability. In this episode, we will find out what it is and how to solve it. Today, we are privileged to feature Martin Aboitiz, CEO and Founder of Healthjump. This platform provides health data interoperability services. Martin discusses how his company helps solve interoperability in healthcare by extracting the data and putting it in a single model that they can control and make it accessible to other software, a novel solution. We cover the types of problems this innovative solution can be used for, and how it works while still maintaining HIPAA requirements. Martin also talks about the many other challenges in interoperability.  If you are experiencing interoperability concerns or would like to find out how Healthjump solves it, this podcast can answer that for you! About Martin Aboitiz Martin Aboitiz is an engineer, entrepreneur, and angel investor with extensive information technology and consumer products experience.  Currently, he is the CEO and Founder of Healthjump, a health data interoperability platform. Prior to Healthjump, he was the Founder and President of Intermedia Comunicaciones SA, one of the first ISPs in Argentina; becoming a corporate hosting and IT consulting company after the sale of the ISP division to SkyOnline in 2004.  Martin transitioned from engineering to venture management at Bun SA, an industrial snack food production and marketing company in Argentina acquired by Pepsi Foods International in 1993. As an angel investor, he has participated in multiple ventures in and out of the United States (most notable EXOS Inc sold to Microsoft and Telecom Americas LTD sold to Telmex.) He has served on various company boards of directors and industry trade group councils over the years and is a Regional Chair for the MIT Educational Council.  He holds MS and BS degrees in Civil Engineering from Colorado State University and Massachusetts Institute of Technology.    Key Takeaways Healthjump is good at keeping the data living forever.  You need to have an objective.  Don't limit yourself by what you think is possible or not.  Understand your problem well: what do you want to achieve? Resources Website: https://www.healthjump.com/ LinkedIn: https://www.linkedin.com/in/martin-aboitiz-90a1447/ Twitter: @MartinAboitiz
December 1, 2021

Using AI in the Operating Room

In this episode, we are privileged to host Sanjeev Agrawal, President and CEO at LeanTaas. This is a healthcare software company that increases patient access to medical care. When Stefano first met Sanjeev at the first DocSF Conference, the company was just a start-up. Today, the company has grown into an established and well-funded company that is changing how we manage hospitals across the country.   Sanjeev recounts his healthcare entrepreneurial journal, which began when his team successfully solved a Stanford Cancer Institute problem. He discusses machine learning applications and gives excellent real-world examples of problems where machine learning can be applied. We also tackled the data they are looking for to solve problems and where machine learning is going in the future.    This conversation is fascinating, not just on how to solve complex healthcare problems utilizing accurate data, because there's more to it than that, so make sure to tune in!   About Sanjeev Agrawal Sanjeev serves as the President and Chief Operating Officer for LeanTaaS. Sanjeev was Google's first Head of Product Marketing. Since then, he has led three successful startups - CEO at Aloqa (acquired by Motorola), VP Products & Marketing at TellMe Networks (acquired by Microsoft), and Founder & CEO at Collegefeed (acquired by After College).   Sanjeev graduated with a BS and MS in Electrical Engineering and Computer Science from MIT. He started his career at McKinsey & Company and Cisco Systems before joining Google. Sanjeev is a Forbes contributor and also writes on his blog at http://medium.com/@saagrawa. He is an avid squash player and has been named by Becker's Hospital Review as one of the top entrepreneurs innovating in Healthcare.    Key Takeaways:  LeanTaas cannot create volume, but it can help clinics and hospitals optimize patients physicians should be seeing.   The EHR has a historical record of all surgeries performed in the past by the block owner.  90% of a data science problem is the data. So science is important until you can extract meaning from it.   Most healthcare visits are not so simple.   Small data can make a world of difference.   Once you have clean data, then you can apply your algorithm.    Resources Website: https://leantaas.com/ LinkedIn: https://www.linkedin.com/in/sanjeevagrawal2007/ Twitter: @saagrawa
November 24, 2021

Using AI in the Outpatient Clinic

In this episode, we are privileged to host the fantastic Dr. Rajiv Sivendran, Co-Founder and CEO at Apprentice Health. He is an expert in the simulation space and optimization of resources. Rajiv is driven by the desire to solve problems in healthcare, and the idea for his company started when he was doing his MBA at Harvard.    Rajiv explains simulations and modeling, and links that to resource allocation and logistics in healthcare. He also discusses queueing theory, starting simulations in healthcare, the different variables involved, and ways to collect the healthcare data needed for the simulation. We hyper-focus on the power of the simulation approach and where it is heading. Rajiv provides powerful examples of simulations and where they can and cannot be successful. We also cover the marketing, ROI side of simulation, and more.    There are many potential uses of simulations, and this conversation is an excellent start to learn about it and how you can use it in your clinic or hospital, so tune in!   About Rajiv Sivendran, MD Rajiv Sivendran is the Co-Founder and CEO at Apprentice Health, a software that helps to deliver exceptional care by improving the use of their valuable resource - clinical time and space. Before Apprentice, he worked as an Attending Physician at Brigham and Women's Hospital and as a Clinical Fellow and Instructor of Medicine at Harvard Medical School.    Key Takeaways: You have to understand the laws of nature that govern that specific niche.  A standard practice doesn't do simulation.  It is simpler to get started on something simple.  It is hard to build the data set in simulation.  Each sensor is uniquely identified to them when a patient comes in.  You can build your nuance into your simulation model. It could be super simple, or it could be super complex. Every doctor obeys the same rule of queueing.  The model can take different inputs to provide outputs specific to practice.  There are so many variabilities in healthcare.    Resources LinkedIn: https://www.linkedin.com/in/rajiv-sivendran-md-mba-1a519283/ Twitter: @rajiv_sivendran Website: https://www.apprenticehealth.com/
November 17, 2021

What does patient engagement mean in healthcare, and how do you define it?

Todd Johnson’s work has always been about how we can make a patient’s experience more continuous. One of the most significant opportunities Todd recognizes in the use of these integration systems is behavior change. Information processing may be overwhelming, and this is why moving to digital systems will make this easier. The outcome is a win-win relationship for both patients and medical staff. Patients will have better clinical experiences; meanwhile, the team will save time.  Patient engagement is increasing over time with these technologies. Tune in to this episode to know much more about where we are headed.  About Todd Johnson Todd Johnson is a serial entrepreneur committed to building innovative products that engage patients and connect them to their care teams. He builds strong companies on products that address market needs and offer long-term strategic potential from great ideas. He is leading HealthLoop's evolution to become the foundation for GetWell Loop™ and managing the acquired Mountain View, Calif. office. Once the integration process is complete, his focus will influence GetWell Loop’s product development and sales strategy.  Todd holds a Bachelor of Administration in computer science from Cornell University. Key Take-aways  The gold standard in integration is to have all the information and data from a patient available.  Integration and Data systems create a win-win relationship.  This transformation in-patient care requires leadership and a change in how we think about it.  When deploying this technology, patient engagement was variable.  Patients will use these apps when it’s a way to communicate with the medical team instead of following instructions from it.  Resources Connect and Follow Todd on LinkedIn here: www.linkedin.com/in/toddjohnson10/ Learn more about the LearnMore GetWell Network here: https://www.getwellnetwork.com/getwell-loop/ Source: https://www.getwellnetwork.com/profiles/todd-johnson/ 
November 10, 2021

What is 'Interoperability' in healthcare and why is it important?

The systems that store your health records across different providers are probably not talking to each other. Even if they are, it certainly didn't happen by accident.  This is a problem Niko Skievaski is working to solve. Interoperability is a technical term that comes from outside of healthcare. The meaning of it is when two or more systems can share data with each other.  Niko explains that there are three levels of Interoperability: The first level is one in which data is shared between systems or providers. The second level is within a single care setting, known as Integration. The last and third one is giving patients their data or Patient Authorized data Access.  The topic of data is something we could discuss for hours - but we don't have that kind of time! Instead, this episode is a greatly simplified way to understand it!   About Niko SkievaskiNiko Skievaski is a co-founder of Redox, a modern API layer for EHR integration. Before Redox, he co-founded a co-working space and business incubator in Madison that attracts fellow former-Epic employees interested in startups.  With Redox, he has raised $4 million to make an API that works as a bridge between healthcare data and the software that uses it, translating patients' records across platforms.  Niko has a Bachelor of Arts/Science from Arizona State University and a Master of Arts from Boston University. Key Take-aways  HL7 is the most used integration standard used.  HL7 can be understood as a language.  Integration space needs to be bi-directional.  API stands for Application Program Interface  Interoperability is in the middle of data governance and the legal part of sharing.  A patient’s data could be hundreds of pages long. We have information at our fingertips during this century. Resources Connect and Follow Niko on LinkedIn here: https://www.linkedin.com/in/skievaski/  Know more about Redox here: https://www.redoxengine.com/ Medcity News: https://medcitynews.com/author/nikoskievaski/#:~:text=Niko%20Skievaski%20is%20a%20co,Health%20IT%2C%20Startups  Forbes: https://www.forbes.com/profile/niko-skievaski/?sh=1d65e0254ddd 
November 3, 2021

About Digital Health 101

This podcast dives into the organizational and structural requirements for successful transformation to a new health paradigm. Join Stefano Bini, MD and his guests as they explore the pain points in healthcare, and how digital technologies can be developed and applied help solve them. Each episode considers the effectiveness and limitations of current models, as well as the potential and capability of new technology and practices that can improve or replace them.

Host

Professor Stefano Bini, MD

Dr. Bini is a Professor of Orthopedic Surgery specializing in hip and knee replacement and the Founder and Chair of the Digital Orthopaedics Conference, San Francisco (DOCSF). He consults for start ups and multinational organizations and has authored a book on change management. Dr. Bini’s appointment is with the department of Orthopedic Surgery at the University of California San Francisco (UCSF), ranked in the top 6 departments in the US. Current research interests include quantifying the impact of digital health on orthopedic care delivery, change management strategies in health care, and improving the results of total joint surgery by helping to challenge long held assumptions in surgical techniques. Stefano also serves on committees for national orthopedic organizations (AAHKS, AAOS), is an Associate Editor for Arthroplasty Today, and has delivered over 100 lectures nationally and internationally on both clinical and digital orthopedics.
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What is computer vision? How do computers see? These are just some of the few questions we answer as we learn more about our outstanding guest, Meghan Conroy, the CEO & Founder at Captureproof Inc.
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