Johan Vos

𝗜'𝘃𝗲 𝗵𝗮𝗱 𝗮 𝗰𝗵𝗮𝗻𝗰𝗲 𝘁𝗼 𝘄𝗼𝗿𝗸 𝘄𝗶𝘁𝗵 𝗻𝗮𝗺𝗲𝘀𝗮𝗸𝗲𝘀 𝗮𝗻𝗱 𝗱𝗼𝗽𝗽𝗲𝗹𝗴𝗮𝗻𝗴𝗲𝗿𝘀. 𝗤𝘂𝗶𝘁𝗲 '𝗺𝗲𝘁𝗮𝗽𝗵𝗼𝗿𝗶𝗰𝗮𝗹𝗹𝘆'. The POV? The concept of '𝘿𝙞𝙜𝙞𝙩𝙖𝙡 𝙏𝙬𝙞𝙣𝙨' in HealthTech. This topic resurfaced in my mind after a recent webinar the other day. Two years ago, I had the privilege of working with a 𝙙𝙞𝙜𝙞𝙩𝙖𝙡 𝙩𝙝𝙚𝙧𝙖𝙥𝙚𝙪𝙩𝙞𝙘𝙨 (𝘿𝙩𝙭) 𝙘𝙤𝙢𝙥𝙖𝙣𝙮 𝙪𝙨𝙞𝙣𝙜 𝙙𝙞𝙜𝙞𝙩𝙖𝙡 𝙩𝙬𝙞𝙣𝙨 𝙛𝙤𝙧 𝙧𝙚𝙢𝙤𝙩𝙚 𝙙𝙞𝙖𝙗𝙚𝙩𝙞𝙘 𝙢𝙤𝙣𝙞𝙩𝙤𝙧𝙞𝙣𝙜. Honestly, it was my firsthand experience with the transformative power of a 'tech' that only seemed true in sci-fi. 𝗔𝗳𝘁𝗲𝗿 𝘁𝗵𝗲 𝘄𝗲𝗯𝗶𝗻𝗮𝗿, 𝗜 𝗿𝗲𝗮𝗹𝗶𝘇𝗲𝗱 𝘁𝘄𝗼 𝗺𝘂𝘀𝘁-𝗱𝗼𝘀 𝗳𝗼𝗿 𝗮 𝗠𝗲𝗱𝗶𝗰𝗮𝗹 𝗪𝗿𝗶𝘁𝗲𝗿: 👀 Knowing 'how to write' is NOT enough; without the knowledge of contemporary Healthcare - its scientific milieu, and applications, you can never write good articles, whitepapers, and manuscripts. 👀HealthTeach companies wish to hire those who align with them professionally first. 𝗪𝗶𝘁𝗵 𝗻𝗶𝗰𝗵𝗲 𝗮𝗻𝗱 𝗽𝗼𝘄𝗲𝗿𝗳𝘂𝗹 𝗰𝗼𝗻𝗰𝗲𝗽𝘁𝘀 𝗹𝗶𝗸𝗲 '𝗱𝗶𝗴𝗶𝘁𝗮𝗹 𝘁𝘄𝗶𝗻𝘀', 𝘁𝗵𝗲 𝗰𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲 𝗿𝗲𝗺𝗮𝗶𝗻𝘀: 𝗰𝗼𝗻𝘃𝗲𝘆𝗶𝗻𝗴 𝘁𝗵𝗲𝘀𝗲 𝗰𝗼𝗺𝗽𝗹𝗲𝘅 𝗰𝗼𝗻𝗰𝗲𝗽𝘁𝘀 𝘁𝗼 𝘆𝗼𝘂𝗿 𝗮𝘂𝗱𝗶𝗲𝗻𝗰𝗲. 🧣 That's where 𝘿𝙤𝙘𝙩𝙤𝙧-𝙩𝙪𝙧𝙣𝙚𝙙-𝙈𝙚𝙙𝘾𝙤𝙢𝙢 𝙀𝙭𝙥𝙚𝙧𝙩𝙨 come in. With a strong clinical and non-clinical background, they excel at crafting compelling, accurate content, that is both credible and impactful. If your company is working with digital twins or similar technologies, let's connect and see how we can tell your story together. #medicalcommunication #medcomms #contentwritingservices #medicalwriter #digitaltwins #medtech

3

1 commentaar

A Year of Journal Articles (Day 362/365): Kamel Rahimi, Amir, Oliver Pienaar, Moji Ghadimi, Oliver J. Canfell, Jason D. Pole, Sally Shrapnel, Anton H. van der Vegt, and Clair Sullivan. "Implementing AI in Hospitals to Achieve a Learning Health System: Systematic Review of Current Enablers and Barriers." Journal of Medical Internet Research 26 (2024): e49655. Summary: The article presents a systematic review of the enablers and barriers to implementing AI in hospitals to achieve a learning health system. - The potential of AI in healthcare lies in improving clinical outcomes by enhancing clinical decision support systems. However, the transition from AI models validated on data sets to real-world implementation in hospitals remains a challenge. -The study aimed to identify the enablers and barriers to the real-world implementation of AI in hospitals and map these factors to a 3-horizon framework for successful digital health transformation. -The review included 26 studies published between 2019 and 2022, encompassing both case studies and implementation guidelines. The majority of studies focused on radiology and general inpatient wards. -The quality assessment revealed that most included studies had poor methodological reporting, potentially limiting the quality of the findings. -The study identified 28 enablers and 18 barriers to AI implementation, categorized into people, process, information, and technology domains. -Key enablers included multidisciplinary teams, experienced data scientists, co-design with clinicians, robust performance monitoring, seamless integration, organizational resources, evidence of clinical and economic value, addressing data shift, data quality, data security, data visualization, continuous learning capability, containerization, interoperability, shared infrastructure, customization capability, vendor-agnostic infrastructure, computational and storage resources, alert considerations, and ease of integration. -Key barriers included insufficient performance assessment, lack of standardized guidelines, disruptive integration, inadequate continuous learning, complexity of maintenance, lack of clear consensus on alert definitions, insufficient data preprocessing, poor data quality, data heterogeneity, data privacy, challenges with data availability, lack of customization capability, computational limitations of hardware, inexperienced end users, lack of clinician trust, alert fatigue, difficulties understanding AI outputs, and data shift. -The findings were mapped to a 3-horizon framework, providing actionable recommendations for hospitals planning to implement AI analytics. -The study concludes that successful AI implementation requires a shift in resource management and highlights the importance of using analytics for better decision-making in hospitals to meet the increasing demand for healthcare services.

3

Take time to study the #guidance coming out of the #EU member state #HTA Coordination Group #HTACG and you may realise how important this #PSI #EFSPI discussion is for the successful #implementation of the #HTAR. Reduction of unnecessary #duplication and raising quality #standards that #EUnetHTA worked for was enabled with the #regulation. Now it's up to the busy HTA doers and the applied scientists to do exactly this in practice! Multidisciplinary topic for #HTAi #ISPOR to foster! https://lnkd.in/dKjB6_qb

14

2 commentaren

📢SWAG community, meet our partner Roessingh Research and Development! RRD is a leading hub for personalised health technology, specialising in movement, rehabilitation, and chronic disease management. Collaborating closely with Roessingh, Centrum voor Revalidatie and Universiteit Twente, RRD prioritises end-user needs to ensure technology is not only advanced but also practical and user-friendly. From initial development to real-world implementation, RRD's comprehensive approach fosters impactful solutions, particularly in addressing the challenges of chronic diseases. When it comes to our project, some of the tasks that RRD will be leading are the following: 🔸Functional requirements analysis & performance KPIs: this task includes collecting data on human movement from end-users to define functional requirements for soft actuators and analysing their function from the end-users' perspective. 🔸Continuous user engagement & Field trials; aiming to provide validation of SWAG in an industrially-relevant environment. Stay tuned for our dive-ins to our consortium! Click below for more info on our partner’s work 🔗https://www.rrd.nl/en/ #softrobotics #softwearables #exoskeleton #exosuit

36

Hospital staff shortages and burnout are rising globally. Care providers are retiring. Chronic diseases are increasing. And waiting lists are growing. We can't just recruit our way out of this dilemma. My interview with De Financiële Telegraaf on how digital health tools like #AI #robotics and #AR are going help -> https://lnkd.in/eY_PVwCw And more on the Philips Future Health Index 2024 here: https://lnkd.in/eF65sUAa

115

1 commentaar