Ep 13 | UX and Medical Education as a barrier to digital health with Dr. Jaideep Rayapudi

EP 17 | Cybersecurity and Healthcare w. Vishnu (CEO, ParadigmIT)

Vishnu, the CEO of Paradigm IT Cybersecurity, discusses the unique challenges of cybersecurity in the healthcare industry in India. He highlights that healthcare is one of the most targeted sectors for cyber attacks, with valuable data being a major motivation for attackers. He emphasizes the need for strict access control, compliance, and phishing training to prevent attacks. Vishnu also mentions the lack of investment in cybersecurity in the healthcare sector and the potential risks associated with digitization and remote care. He recommends implementing cybersecurity frameworks, employee training, investing in cybersecurity technologies, data access controls, instant response plans, software updates, and strong third-party vendor agreements. 00:00 Intro  00:30 Whats different about cybersec in healthcare 04:09 What low-risk, high-reward 05:00 Cybersec IS an expensive afterthought so... 07:18 How is Indian healthcare responding to cybersecurity? 09:00 Thoughts on a separate health data law? 10:20 New-age care delivery 12:58 Higher chance of a cyber-attack 14:20 Check-list to assess capabilities against a cyber-attack

Ep 16 | Explainable AI - A Specific Use Case and General Principles w. Akash Parvatikar (HistoWiz)

Back in 2021, Akash Parvatikar Co-authored a paper titled - 'Prototypical models for classifying high-risk atypical breast lesions'. The premise was that some breast lesions are particularly challenging to classify, leading to different pathologists making different diagnoses based on the same information. The paper aimed to reduce this variability by providing a consistent computational method.  A key contribution of this work is that the AI model can explain its recommendations in a way that is useful for clinical practice. This is important because doctors need to understand why an AI system has made a particular diagnosis to trust and act on its recommendations. In this episode, Akash discusses his work in relation to xAI in diagnosing breast cancer. He discusses the model he developed, which outperformed baseline models in detecting high-risk breast lesions. Akash emphasizes the importance of xAI in building trust and transparency in clinical decision-making tools and explains how his model incorporates explainability through feature detection and contribution scores. Akash emphasizes the need for explanations to be provided frequently to end users, as it plays a crucial role in building trust in AI systems. He also highlights the importance of involving domain experts in the development of AI models. 0:00 Intro 1:29 Achieving consistent diagnosis is crucial in patient care 4:45 Why does non-uniformity in diagnosis exist in among pathologists  9:40 What were the considerations for model preparation? 14:04 Components of the model and how they incorporate explainability 17:17 How explanation was incorporated - a simplified analogy  22:52 How does xAI manifest itself for pathologists? 26:54 Should explainability be a feature across all AI models in healthcare? 29:29 So explainability in drug discovery is pointless? 31:00 Frequency of explainability 33:51 Domain experts need to be in the loop when building AI models 36:00 Outro  You can reach out to Akash on his LinkedIn at - https://www.linkedin.com/in/akash007/

Ep15 | Existing Capacity Augmentation in Healthcare w. Srikrishna Seshadri (Co-Founder, Previu)

In this episode, Srikrishna Seshadri shares insights into the design and implementation of care coordination and data aggregation solutions at Tata Consultancy Services (where he was a product manager). The implementation of the Tata Digital Nerve Center, a centralised capacity management center, is highlighted as a successful model for improving healthcare delivery. The key takeaways include the importance of innovation in healthcare delivery, the need for coordination and partnerships, and the value of technology in improving patient outcomes.  He also talks about Previu Health's (a new healthtech company he is a co-founder in) focus on preventive healthcare and the potential of technologies like Google MedPalm 2 in improving public health outcomes.  0:00 Intro 0:34 Does Bengaluru 'Bangalore' even for tech in healthcare? 1:12 Investment Trends in HealthTech startups that catch his eye 3:25 Care Co-ordination and Data Aggregation - A monologue (high value) 17:10 Care Co-ordination from a population health standpoint cannot have vested interests 20:05 Point of care devices will play a huge role for care co-ordination at capacity (say rural health camps) 24:23 How will AI play a role at Previu? 29:53 Google MedPalm 2's role in public health will be evaluated from specific use cases 35:36 Outro

Ep 14 | Medical Device - Matching Needs to Regulatory Approval with Nitesh Kumar Jangir (InAccel)

Nitesh heads product development and commercialisation at InAccel (a medical device company from India), and has been referred to as a trailblazer by the Royal College of Engineering.  In this episode, Nitesh discusses his background and role within InAccel. He shares his experience with the Stanford India BioDesign Program and how it shaped his approach to health technology innovation. Nitesh explains the process of identifying critical unmet needs (in the Indian and global healthcare space) and prioritising which problems to tackle through medical device innovation. He also discusses the journey from identifying a healthcare need to bringing a regulatory certified product to market, using VapCare as a case study. Nitesh also shares his perspective on the FDA and CE Mark regulatory pathways and his vision for making India a manufacturing hub for medical devices. He also provides advice for innovators in health tech and discusses building for different market segments. Nitesh highlights the impact of his work and the recognition he has received for his contributions to healthcare. https://www.youtube.com/watch?v=ZuMn9GeoOkU&t=0s1:24 [https://www.youtube.com/watch?v=ZuMn9GeoOkU&t=84s] What does it mean to get into product development and commercialisation for med devices? 2:23 [https://www.youtube.com/watch?v=ZuMn9GeoOkU&t=143s] Experience with Stanford India BioDesign Programme 4:18 [https://www.youtube.com/watch?v=ZuMn9GeoOkU&t=258s] Unmet critical needs - how to prioritise them and evaluate prospective impact? 5:38 [https://www.youtube.com/watch?v=ZuMn9GeoOkU&t=338s] Regulatory pathways as a lens to evaluate creation of a medical device? 6:31 [https://www.youtube.com/watch?v=ZuMn9GeoOkU&t=391s] Volume of medical needs requiring solutions that don't need higher regulatory pathways 7:14 [https://www.youtube.com/watch?v=ZuMn9GeoOkU&t=434s] Top 2 filters to assess unmet critical medical needs 9:30 [https://www.youtube.com/watch?v=ZuMn9GeoOkU&t=570s] Journey from identifying a healthcare need to bringing a regulatory certified product to market 18:04 [https://www.youtube.com/watch?v=ZuMn9GeoOkU&t=1084s] Preference between #CE [https://www.youtube.com/hashtag/ce] Mark and #fda [https://www.youtube.com/hashtag/fda] 19:56 [https://www.youtube.com/watch?v=ZuMn9GeoOkU&t=1196s] The amended UK MDR 21:06 [https://www.youtube.com/watch?v=ZuMn9GeoOkU&t=1266s] FDA clearance helps enter other developing nations 22:10 [https://www.youtube.com/watch?v=ZuMn9GeoOkU&t=1330s] Regulating #ai [https://www.youtube.com/hashtag/ai]  - screening versus diagnostic - brief thoughts 23:50 [https://www.youtube.com/watch?v=ZuMn9GeoOkU&t=1430s] Hopes from and working with Indian regulators 24:45 [https://www.youtube.com/watch?v=ZuMn9GeoOkU&t=1485s] VapCare - Process of demonstrating product efficacy and safety 29:17 [https://www.youtube.com/watch?v=ZuMn9GeoOkU&t=1757s] Medical device developed. Now how to ensure effective implementation? Reach Nitesh via his LinkedIn here: https://www.linkedin.com/in/nitesh-ku... [https://www.youtube.com/redirect?event=video_description&redir_token=QUFFLUhqa2ZsaFpDV2F3UWs5b2NNTWRYaTR6dXZFb1Q0d3xBQ3Jtc0tsQlFkbU9zN3p3WWFmdnllRDlMcDJISFNZOEJxZzBYeTBOcnBrM0pieWZGbUItemVzUzdoZXBXYzlKUUE3Y0VaQzhQVjNnY2tUbzFvZ3luZnJyWHU0XzltSkstcVVpRlBKN3FUS3hTakRlMC1Qc2hhYw&q=https%3A%2F%2Fwww.linkedin.com%2Fin%2Fnitesh-kumar-jangir-healthtech%2F&v=ZuMn9GeoOkU]

Ep 13 | UX and Medical Education as a barrier to digital health with Dr. Jaideep Rayapudi

Dr. Jaideep Rayapudi is the VP of Clinical Solutions at Precognitas, an #ai [https://www.youtube.com/hashtag/ai] #healthcare [https://www.youtube.com/hashtag/healthcare] company that offers its solutions to organisations and care communities in the US. But he also pushes for digital health adoption in India. He's well placed to provide a critical and unique perspective of the same and he discusses the role of AI-driven solutions in healthcare and the challenges and opportunities in the Indian healthcare ecosystem. He compares the healthcare infrastructure and technology adoption in the US and India, highlighting the solid base of digital infrastructure being built under the #abdm [https://www.youtube.com/hashtag/abdm] and how that already puts us in an advantageous position. Having said that, Dr. Jaideep points out the importance of education and mindset change in the medical community to drive technology adoption. This, he says, is the biggest barrier to adopting digital solutions and is not a problem that can be solved easily. 0:00 Dr. Jaideep wants to will tech adoption for healthcare in India - true? 1:40 healthcare analytics and AI to provides better community care in the US 3:30 Impact of work in the US and #sdoh [https://www.youtube.com/hashtag/sdoh] 5:46 India vs US in terms of healthcare infra,  data avb. and tech adoption 8:51 Problems of data infrastructure are similar in India and the US 11:46 Fear of the unknown and tech adoption in healthcare 14:39 Transcribing software is symptomatic of rotten UX and not upto standard use cases 17:25 Strength and weakness of AI application in Indian healthcare 20:00 Digital infra or Digital mindset - biggest blocker to tech adoption? 23:34 Concern is the doctor who is in the 30's / 40's age group 26:24 Balancing | 100 + patients a day vs tech adoption headaches 30:00 An AI application that holds most amount of promise in India 31:15 Google Gemini and a healthcare business Dr. Jaideep comes across as someone who is revolutionary in his thinking and provided perspectives on #ai [https://www.youtube.com/hashtag/ai] and #healthtech [https://www.youtube.com/hashtag/healthtech] in India that I have not heard before. He can be reached on LinkedIn here: https://www.linkedin.com/in/jdrayapudi/ [https://www.youtube.com/redirect?event=video_description&redir_token=QUFFLUhqbVZVVjZYZGZrTEFkVXV4NU1ZUHlOdmFzT0xtQXxBQ3Jtc0tsRDk2RTFkRV9yNkxtQzF5amVNVFJ0WTFvQnVuXzFKalQ2ajN2VUdUV0EzTk1YMlZCdjR5M2hRUm8zMUgzVlNhZHk3VXNkSkNGMjRjNDFWdWpFbmZ6MGhaQ21pRFFSRU1NS01ZOGZDSjlWUThrNVhnbw&q=https%3A%2F%2Fwww.linkedin.com%2Fin%2Fjdrayapudi%2F&v=Z7hgA_4D1TE]