Suchitra Ramaswamy

Thank you for organizing the masterclass Barts Life Sciences 🙏🏼 —it was an insightful event with excellent networking opportunities. Here are 3 key tips for SMEs/startups aiming to penetrate the NHS, which I gathered from the event: 1. Align with the Integrated Care Strategy (ICS) to scale your solution effectively within the NHS and align with Trust priorities. 2. Determine in advance which care setting (primary, secondary, or tertiary) your solution best fits. 3. Emphasize Patient and Public Involvement Engagement (PPIE). Ensuring patients and the public are central to your solution is crucial for scaling. I also found it fascinating to learn about specific business cases, how they are assessed internally by the Trust, and understanding the decision-making process and timescale. Barts Health NHS Trust Kadans Science Partner Queen Mary University of London Canary Wharf Group 🙏🏼

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I'M SORRY, HOW MUCH DID YOU SAY ?? 😲 Try not to fall off your chair, like my AI generated friend below, when I describe some recently conducted market research on Patient Information Leaflet User Testing in the UK. You may be as shocked as I was when you read the following quotes for a single user test: Quote 1 - £ 7,500 😯 Quote 2 - £ 8,500 😲 Quote 3 - £ 11,000 to £ 12,000 !! 🤯 Although my quotes were closer to 1 and 2 back in the crazy days of 2005, I was shocked to learn companies are still quoting this amount and much more! Now, try not to fall off your chair again, but via RegConsult I am willing to carry out a full user test for £ 4,400 per leaflet. Terms and conditions will of course apply but I feel it is time to shake things up (again!). Please get back in your chair and visit our website, DM on here, or email regulatory@regconsult.co to set up a free call to discuss your needs! #usertesting #regulatory #shakeitup

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Healthcare is probably the most impactful utility of GenAI! Significant Impact & Future Potential: Generative AI is transforming healthcare, impacting areas like drug discovery, diagnostics, and treatment. Revolutionizing Drug Development: AI helps explore vast chemical spaces for new drugs, reducing failure rates in clinical trials. Focus on Healthcare Applications: Companies like Nvidia are developing AI-powered platforms for medical imaging, diagnostics, and robotic surgery. Real-time Decision Making: Generative AI, similar to self-driving cars, uses sensor data for real-time decision support in surgery. Post-operative Care & Beyond: AI can compile reports, review past surgeries, and improve decision-making in future procedures. #healthcare #innovation #ml #llm #data #drugdiscovery #patient #safety #clinicaltrials #clinicaldatamanagement https://lnkd.in/g_AEAUns

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Thoughts on this? >> Samsung may have just revealed a key Galaxy S25 detail >> Comment below! >>> lqventures.com #digitalhealth #socialmedia #digitalmarketing #healthtech #industry40 #mhealth #AI #IoT

When NHS resources are stretched to the limit, time and cost saving opportunities can help funnel resources back into patient care - get in contact and find out how iethico can help community & hosptial pharmacy and dispensing doctors save time resource and costs iethico

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A lot of interesting survey results from Infosys Gen AI study across 3000 companies from 12 industries. One of the interesting facts on the obstacles to use Gen AI is "Data not in a usable state" even in high tech companies. So there is a critical need for well-organized data – the very foundation of AI for any company! Reference: https://lnkd.in/gXuBnwSX #ai #genai #llm #chatgpt #gemini #clinicaltrials #healthcare #data #innovation

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All successful companies need to move with the winds of change. And AI is a typhoon.  The best way to learn how to pivot is to observe those who have done so already.  The agility required for corporate pivoting also applies to personal switch-ups.

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Thoughts on this? >> Multibagger Inox Wind Gains Nearly 7% After Large Turnkey Order >> Comment below! >>> lqventures.com #digitalhealth #socialmedia #digitalmarketing #healthtech #industry40 #AI #IoT #mhealth

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Friday geek stuff 😅😎 Using AI to Segment CRM Data for Pharma Marketers: A Checklist idea Overview: AI helps pharma companies segment CRM sales data effectively. Here’s a practical guide for pharma marketers with the UK as an example👍 Image generated with AI 😉😅 Following highlevel elements need to be detailed in a checklist: 📝 Gather and Integrate Data: Collect internal data from sales records, HCP interactions, and patient management systems. Use external sources like NHS data, IMS Health, and public health records. Integrate these data sources into Salesforce using MuleSoft. Example: Extract data from NHS records and integrate into Salesforce Health Cloud. 📝 Define Segmentation Criteria: Identify key attributes like prescribing behavior, specialty (e.g., oncology, cardiology), geographic location (e.g., London, Manchester), and interaction history. Example: Segment oncologists in London who have prescribed your drug over five times in the last month. 📝 Utilize AI for Predictions: Implement Einstein AI to analyze HCP data and predict future behavior. Example: Predict Dr. Smith, an oncologist in Manchester, will prescribe a new cancer treatment based on past patterns and recent engagement. 📝 Automate Outreach: Set up workflows in Salesforce Marketing Cloud. Send an introductory email about a new drug, followed by scheduled follow-up emails and calls for those who engage. Customize messages based on the segment. Example Workflow: An oncologist who opens the initial email receives a follow-up call within a week and, if they attend a webinar, a personalized thank-you note. 📝 Monitor and Refine: Use Salesforce Analytics Cloud to track metrics like engagement rates and prescription uptakes. Adjust strategies based on real-time data. Example: If engagement rates are low in a region, re-evaluate segmentation criteria or outreach methods. 📝 Continuous Improvement: Analyze campaign results to see which regions or specialties show the most engagement. Adjust strategies based on this data. For more details on Salesforce tools and best practices, visit their Pharma Solutions page. References: Salesforce Pharma Solutions: https://lnkd.in/dyUpXj5k Microsoft Dynamics Blog: https://lnkd.in/dqGKUvqQ TechnologyAdvice on CRM Segmentation: https://lnkd.in/dgqpM2DE

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** 13 🤨 = Unlucky for some (GSK) ** There are 13 'ongoing' complaints relating to UK pharma companies' compliance with the ABPI Code. ▪ There’s way more but we don’t know how many ▪ Cases are actually completed but unpublished ▪ GSK leading with 5 cases - 4 in breach ▪ Social media, promotion and websites feature as usual 💡 Full details of each (if published) will be covered by Code Clarity UK at the Case Awareness Surgery, 12.30-1.30pm, 2 May (live & recorded) ▪️Register an individual: https://lnkd.in/eNTZKVPi ▪️Register a company: https://lnkd.in/eA-5krgD #abpicode #clarity #compliance #confidence  #pmcpa #cases #rulings #complaints #uk #pharma #selfregulation #medical #signatories #linkedin

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