Future Healthcare Careers in the AI Era

What’s Next for Medical Coders in the Age of AI? 🤖📚 Worried that AI might replace your coding job? AI is transforming medical coding, but it’s also opening doors to new, exciting career opportunities. 🚪✨ As coding becomes more automated, your expertise will be needed more than ever—just in different and often higher-impact roles. 💡 Consider these future-ready paths: 🩺 Clinical Documentation Improvement (CDI) Specialist Educate providers, ensure accurate documentation, and support coding accuracy upstream. 🔍 Coding Quality Analyst / Auditor Keep AI and human coders in check with your eagle eye for accuracy and compliance. 💵 Revenue Cycle Specialist Oversee end-to-end billing processes and identify gaps that impact reimbursement. 🧮 Revenue Integrity Specialist Make sure clinical services are properly captured, coded, and billed—protecting every dollar. 📨 Denials & Appeals Specialist Use your coding knowledge to overturn denials and fight for rightful reimbursement. 📊 Healthcare Data Analyst Turn coding and claims data into actionable insights that drive decisions and performance. 🤝 Your deep understanding of clinical language, compliance, and reimbursement will always be vital. 🚀 Embrace the shift. Your skillset is evolving, not expiring. 💬 Which of these roles are you most excited to explore? Or are you already pivoting into one of them? Drop a comment below! #MentoringMonday #MedicalCoding #AIinHealthcare #HIMCareers #RevenueCycle #CDI #DataAnalytics #HealthcareJobs #FutureOfWork

🚀 Embracing AI is not just enhancing your current role, but it can transform your next job While many discuss the immediate benefits of incorporating AI into existing jobs, let's explore how it paves the way for groundbreaking career transitions. 🏗️ From Civil Engineer to AI-Integrated Infrastructure Planner: Civil engineers using AI for structural analysis can become AI-Integrated Infrastructure Planners, designing future cities and structures with AI-augmented planning tools. 🎨 From Artist to Generative AI Agency Founder: As an artist, dive into AI image and text generation. This can be your stepping stone to launching a generative AI agency, pioneering in AI-powered art, music, and content creation. 📚 From Teacher to Personalized Learning Consultant: Teachers, use AI analytics for tailored student instruction. Your next leap? Become a consultant, guiding schools in adopting AI-driven personalized learning systems. 💻 From Data Analyst to MLOps Engineer: Data analysts, harness ML pipelines for data management and model deployment. Transition into MLOps, optimizing machine learning operations and workflows. 🤖 From Sales to Conversational AI Designer: Incorporating AI chatbots in sales? Use this experience to venture into designing advanced AI conversational interfaces. Why not start with a custom GPT model? 🔍 From HR to AI Recruitment Strategist: HR professionals, integrate AI in talent acquisition and employee engagement. Next, become a strategist in AI-enhanced recruitment, shaping the future of workforce management. 🏥 From Healthcare to AI Health Advisor: Healthcare workers using AI for patient care can transition to AI Health Advisors, guiding medical institutions in implementing AI for enhanced patient outcomes. 🔬 From Research Scientist to AI-Driven Drug Discovery Specialist: Research scientists involved in pharmaceuticals or biotech can leverage AI for faster, more accurate drug discovery. The next step? Become a specialist in AI-driven drug discovery, accelerating the development of life-saving medications. 🔑 The Key to Transition: Start small. Integrate AI as a tool to enhance your current role. Train models using no code tools, create with generative AI, or streamline processes. Hands-on AI experience broadens your capabilities, preparing you for the next career leap, and it will help you figure out where you want to go next. 💡 Takeaway: The key is finding small ways to sprinkle in AI as a tool that boosts your current role. Whether it's building ML models, using generative AI content, or streamlining workflows, hands-on AI experience can expand your capabilities. And that makes you more adaptable for whatever the next step in your career might be, especially as AI transforms more industries. So look for little ways to incorporate AI into your daily work - it could help unlock your next move. ------------------------------------ Follow Marily Nika, Ph.D for insights & Education on AI & Product Management

As we close out 2023 I wanted to add 3 more bold AI/LLM predictions that I believe we'll start to see in 2024. To better explain why I think AI/LLMs will help fuel this shift, I wanted to add some context before sharing my predictions. First, AI/LLMs in healthcare will need to be divided into two separate categories; 1. Operational GenAI - which is used to manage the non-clinical aspects of distributing and delivering care services to patients 2. Clinical GenAI - which is AI or LLMs that are used to directly treat and mange care services to patients It’s important to understand that these two things are entirely different and that #2 will only take off once #1 is achieved. So here's my prediction reasoning; The availability, accessibility, and affordability of AI/LLMs will massively reduce the technical knowledge base that was traditionally required for developing SaaS products. Now that the infrastructure and application layers have been separated those who have the professional domain knowledge and expertise (e.g., physicians) will be able to create AI/LLM applications cheaper, better, and faster then non-clinical founders that may or may not be technical. Now the predictions: 1. Because of this shift more physicians and clinicians will become builders creating AI point solution applications for either Operational or Clinical services. The initial use case would be to build for in-house purposes, however, this will quickly transition to sharing of AI products to selling of AI products. 2. Thus a new market will be created providing an environment for physicians and clinicians to sell point solutions to other physicians and clinicians. Basically an digital health AppStore 2.0 for clinicians by clinicians. 3. Leading to a new era of clinical technology where AI assistants and or agents will become part of the operational + care teams. Providing clinicians and patients with clinical and operational value immediately by eliminating fragmented SaaS point solutions which only increased costs and made it difficult to access new technology. AI-agents will help level the playing field for millions of physicians and clinicians and we’re excited about powering this future. What are your thoughts? What could you build if you had your own AI-agent that was always on, always available to your and your patients? ---- Hi, I'm Dr. Mario Amaro, Founder and CEO Ease and I talk about all things starting, running, and growing a private practice with AI. Follow me, if you are planning to start one or are currently figuring out creative ways to grow one. #PrivatePractice #SelfEmployment #HealthcareOnLinkedin #HeyEase