Arena Labs’ Post

A great video from Dr. Preston Cline Ed.D explains the need to engage with 'error' to learn and adapt. I wholeheartedly agree that we have to see unexpected and unintended outcomes ('errors') as learning opportunities. At the same time, we also have to look at how 'normal' works because 'errors' are really only classifiable after the event when we get an outcome that we weren't expecting. What if we get an unexpected outcome that goes above and beyond what we were expecting? Is that an 'error'? Is it something work exploring? What if we had an expected outcome but got there on a different path to the plan? The outcome was expected, but the journey wasn't. Was that an error? These aren't just thought games, these are about what goes into planning, executing, reflecting, debriefing, and improving. All of these activities involve a cognitive (and emotional) effort to get right, and we are, naturally cognitively efficient, so this is hard work... #nontechnicalskills #DEBrIEF #psychologicalsafety #justculture

🔍 Hey there, lab fam! Let's talk about some key skills that make us shine in the world of Medical Laboratory Science! 🌟 Eagle Eyes: Ever notice that tiny detail that others miss? Yup, attention to detail is our superpower! 🔍✨ Brainy Brilliance: From decoding complex data to solving puzzles in the lab, our critical thinking skills are always on point! 🧠💡 Chat Champ: Whether it's chatting with colleagues or explaining results to patients, our communication skills make us lab rockstars! 💬🎤 Roll with the Punches: New tech? No problem! We're adaptable pros who thrive in the ever-changing healthcare world! 🔄💪 Time Whisperer: Juggling tests like a pro and keeping the lab ticking? Yep, that's us, masters of time management! ⏰🎩 Squad Goals: Teamwork makes the dream work! We're all about supporting each other and spreading positivity in the lab! 🤝💫 Ethics Extraordinaire: Integrity is our middle name! We play by the rules and always keep patient confidentiality front and center! 🤫🔒 Problem-Solving Whiz: Lab mishaps? Bring 'em on! We love a good challenge and never back down from finding solutions! 💡🔧 Forever Students: Learning never stops in our world! Whether it's new techniques or the latest research, we're always thirsty for knowledge! 📚🔍 Heart of Gold: Behind the scenes, but our empathy shines bright! We're here to make a difference, one patient at a time! ❤️🌟 By honing these key skills, professionals can not only excel in medical laboratory science but also make meaningful contributions to healthcare delivery and patient outcomes. 💪✨ #LabLife #MedicalLabMagic #LinkedInFam #MedicalLaboratoryScience #SkillsForSuccess #HealthcareProfessionals #ContinuousLearning #LinkedInTips

“You know you’re doing a good job - when you’re moderately hated” 😆 This was a different perspective to one I’m used to for sure. But I got it. To explain (because the ‘hate’ word is a strong one and I don’t think it was meant quite in that way!), as a team that often has to impose restrictions in order to ensure medical accuracy and safety, you’re perhaps not as popular as the People Team (they’re way more fun than us 😂). I reflected on that line a fair bit this week and as a people-pleaser, I can confirm it’s sunk in surprisingly well. Medical advisory work isn’t about blocking brilliant ideas or being a general pain in the 🍑. It’s also NOT about minimal input, tiny tweaks and rushed approvals. It’s about putting people, their health and their wellbeing first. Whilst at the same time sticking to science. This means using our doctor goggles 🤿 every time. And doctor’s opinions sometimes clash with marketing ideas, product goals or engaging content. Medical input and reviews also inevitably slow things down too (and we all know few people like being slowed down in tech 🚀). It’s not to say other teams don’t always put users first too by the way. They do. We just all approach initiatives from different angles based on our unique individual standpoints and skills. You can always strive for a happy middle ground. I believe we do. But, striving isn’t comfortable. And as medical advisors and directors - I’m learning that we need to be ok with that. #medicaldirector #medicaladvisor #femtech #healthtech #medicalaccuracy #medicalsafety

In my 10 years in clinical research, I've learned some invaluable lessons that continue to shape how I approach every project. If you’re looking to thrive in this field, here are 7 key lessons that can make a world of difference! ↳ 1. 𝐃𝐨𝐜𝐮𝐦𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧 𝐢𝐬 𝐞𝐯𝐞𝐫𝐲𝐭𝐡𝐢𝐧𝐠 If it’s not documented, it didn’t happen. A strong paper trail could save you one day. ↳ 2. 𝐏𝐚𝐭𝐢𝐞𝐧𝐭 𝐬𝐚𝐟𝐞𝐭𝐲 𝐢𝐬 𝐀𝐋𝐖𝐀𝐘𝐒 𝐭𝐡𝐞 𝐩𝐫𝐢𝐨𝐫𝐢𝐭𝐲 The success of your trial hinges on this. Never forget that the patient comes first. ↳ 3. 𝐄𝐦𝐛𝐫𝐚𝐜𝐞 𝐭𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲 𝐨𝐫 𝐠𝐞𝐭 𝐥𝐞𝐟𝐭 𝐛𝐞𝐡𝐢𝐧𝐝 The right tools can make or break your efficiency. Whether managing trials or staying organized, tech will be your best friend. ↳ 4. 𝐏𝐫𝐨𝐭𝐨𝐜𝐨𝐥𝐬 𝐜𝐡𝐚𝐧𝐠𝐞—𝐛𝐞 𝐫𝐞𝐚𝐝𝐲 Adaptability is a must. Quick pivots will keep you ahead of the curve and ready for anything. ↳ 5. 𝐓𝐞𝐚𝐦𝐰𝐨𝐫𝐤 𝐢𝐬𝐧’𝐭 𝐨𝐩𝐭𝐢𝐨𝐧𝐚𝐥, 𝐢𝐭’𝐬 𝐜𝐫𝐢𝐭𝐢𝐜𝐚𝐥 Collaboration is the name of the game. No one wins alone in clinical research. ↳ 6. 𝐑𝐞𝐠𝐮𝐥𝐚𝐭𝐨𝐫𝐲 𝐤𝐧𝐨𝐰𝐥𝐞𝐝𝐠𝐞 𝐢𝐬 𝐭𝐡𝐞 𝐛𝐚𝐜𝐤𝐛𝐨𝐧𝐞 𝐨𝐟 𝐲𝐨𝐮𝐫 𝐜𝐚𝐫𝐞𝐞𝐫 Keeping up with regulatory guidelines can make or break your success in this field. ↳ 7. 𝐓𝐡𝐞 𝐩𝐚𝐭𝐢𝐞𝐧𝐭’𝐬 𝐩𝐞𝐫𝐬𝐩𝐞𝐜𝐭𝐢𝐯𝐞 𝐢𝐬 𝐠𝐨𝐥𝐝 Want true insights into your trial's impact? Listen to the people at the heart of it—your patients. 𝘛𝘩𝘦𝘴𝘦 𝘭𝘦𝘴𝘴𝘰𝘯𝘴 𝘩𝘢𝘷𝘦 𝘨𝘶𝘪𝘥𝘦𝘥 𝘮𝘦, 𝘢𝘯𝘥 𝘐 𝘩𝘰𝘱𝘦 𝘵𝘩𝘦𝘺 𝘩𝘦𝘭𝘱 𝘺𝘰𝘶 𝘢𝘴 𝘸𝘦𝘭𝘭. 𝘞𝘩𝘢𝘵’𝘴 𝘣𝘦𝘦𝘯 𝘵𝘩𝘦 𝘣𝘪𝘨𝘨𝘦𝘴𝘵 𝘭𝘦𝘴𝘴𝘰𝘯 𝘧𝘳𝘰𝘮 𝘺𝘰𝘶𝘳 𝘦𝘹𝘱𝘦𝘳𝘪𝘦𝘯𝘤𝘦? 👣 𝐅𝐨𝐥𝐥𝐨𝐰 𝐦𝐞 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞! 🔁 𝐑𝐞𝐩𝐨𝐬𝐭 𝐭𝐨 𝐡𝐞𝐥𝐩 𝐲𝐨𝐮𝐫 𝐧𝐞𝐭𝐰𝐨𝐫𝐤! #ClinicalResearch #PatientSafety #ClinicalTrials #DocumentationMatters #Teamwork #Adaptability #RegulatoryAffairs #ResearchImpact #CareerGrowth #ClinicalResearchTips

In the field of medical coding or CDI, research is key to success. It's one of the most important things that sets people apart. To excel, it's essential to conduct independent research, ask questions of experienced professionals, and find answers to complex problems. Remember, the more you know, the better equipped you are to make informed decisions and achieve your goals. #researchiskey #professionaldevelopment #careeradvice

Guiding principles identified by US FDA, Health Canada, and UK MHRA for ML-enabled medical devices ➔ 1. Leverage Multi-Disciplinary Expertise Understand clinical workflow, benefits, and patient risks. Ensure safety and effectiveness across the product lifecycle. ➔ 2. Implement Good Software Engineering and Security Practices Focus on solid software engineering, data quality, and cybersecurity. Use risk management to capture and communicate design and implementation decisions. ➔ 3. Use Representative Clinical Study Participants and Data Sets Ensure data reflects the intended patient population (age, gender, race, etc.). Manage bias and promote generalizable performance. ➔ 4. Maintain Independence of Training and Test Sets Keep training and test datasets independent. Address all potential sources of dependence to ensure reliability. ➔ 5. Base Reference Datasets on Best Available Methods Use best methods for reference datasets. Ensure clinically relevant and well-characterized data. Understand limitations. ➔ 6. Tailor Model Design to Available Data and Intended Use Design models suited to available data and mitigate risks. Set performance goals that align with clinical benefits and risks. ➔ 7. Emphasize Human-AI Team Performance Consider human factors and model interpretability. Focus on the Human-AI team’s performance, not just the model. ➔ 8. Test Under Clinically Relevant Conditions Develop sound test plans. Include patient population, subgroups, clinical environment, and potential confounders. ➔ 9. Provide Clear, Essential Information to Users Offer clear, relevant info to healthcare providers and patients. Include intended use, performance, data characteristics, limitations, and updates. ➔ 10. Monitor Deployed Models and Manage Re-training Risks Ensure models can be monitored in real-world use. Control risks of overfitting, bias, and performance degradation. Follow for daily insights into tech product development. #MedicalDevices #MachineLearning #AI #Compliance #Safety #MedTech  #SimplifyingInnovation #Unplex

Getting out of the "valley of death" in #capabilities integration and development for "transition to operations" as well as "crossing the chasm" in diffusion of #innovations requires a programmatic approach to R&D. Such science program management requires a #metascience that places #implementationscience at the center of porfolios in #translationalresearch. This gap is a pernicious problem in every public and private initiative large enough to have a programmatic approach to R&D. Simply stated, there is an inescapable #fragmentation of remits across the multiple #stakeholders involved in eliciting needs from the application domain (practitioners/users/operators), translating them into paradigms that can generate putative explanations and evidence (scientists/theory/data) about needs and efficacy of alternative solutions, and integration and development of capabilities to address the needs (engineers/acquisitions). A #thirdparty is needed to harness the talent in the three broad stakeholder groups, and a third space is needed for continual reciprocity of value delivery among them including #situated co-learning at the pace and place of needs and implementation. Evidenced-based policymaking comes close but still falls short of persistent strategic relationships in an #intentionalcommunity of debate, dissent, and development that includes opportunities for legitimate peripheral participation from unexpected corners of the contemporary innovation environment. #healthcare #systemsmedicine #systemscience #systemsengineering

Reinvention isn't abandoning your past. It's leveling up. 💪 After 6 years in tech, I've learned: • Every experience builds your toolkit • Skills transfer across industries • Change opens unexpected doors Example: A medical device expert entering med school. More qualified? Absolutely. Your past fuels your future. What would you reinvent in your career? Share below. Let's inspire each other. #CareerGrowth #ProfessionalDevelopment #TechLeadership #CareerReinvention #SkillsTransfer #PersonalGrowth

Accuracy is not a destination — it's a journey. In the world of medical coding, accuracy isn’t merely a goal — it's the cornerstone of patient care, financial stability, and regulatory compliance. It's a complex equation with multiple variables: knowledge, attention to detail, technology, and a deep-rooted commitment to quality. Imagine a surgeon operating without precision instruments. The outcome is predictable. Similarly, inaccurate coding can lead to severe consequences, from delayed treatments to financial penalties. But accuracy is more than just avoiding errors. It's about continuous improvement, a relentless pursuit of perfection. It's about fostering a culture where every coder is a quality advocate. It's about investing in the latest technology and training. And it's about building partnerships based on shared values and a mutual commitment to excellence. Remember, the equation for accuracy is dynamic. It requires constant recalibration. By prioritizing accuracy in every aspect of our work, we not only enhance patient care but also build a stronger, more resilient organization. Which is why at S2M Health we look at every situation — one code at a time. #accuracy #thoughtleader #leadership #medicalcoding #riskadjustmentcoding #hcccoding #healthcare #mindsettech #technology #medicaltechnology #businessinsights

Such feedbacks are always encouraging 🤍 There is some validation for sure that clinical case stories and vignettes make a difference to the learning process of a medical aspirant. #medtech #EdTech