Change Management In Healthcare

I've watched 3 "revolutionary" healthcare technologies fail spectacularly. Each time, the technology was perfect. The implementation was disastrous. Google Health (shut down twice). Microsoft HealthVault (lasted 12 years, then folded). IBM Watson for Oncology (massively overpromised). Billions invested. Solid technology. Total failure. Not because the vision was wrong, but because healthcare adoption follows different rules than consumer tech. Here's what I learned building healthcare tech for 15 years: 1/ Healthcare moves at the speed of trust, not innovation ↳ Lives are at stake, so skepticism is protective ↳ Regulatory approval takes years usually for good reason ↳ Doctors need extensive validation before adoption ↳ Patients want proven solutions, not beta testing 2/ Integration trumps innovation every time ↳ The best tool that no one uses is worthless ↳ Workflow integration matters more than features ↳ EMR compatibility determines adoption rates ↳ Training time is always underestimated 3/ The "cool factor" doesn't predict success ↳ Flashy demos rarely translate to daily use ↳ Simple solutions often outperform complex ones ↳ User interface design beats artificial intelligence ↳ Reliability matters more than cutting-edge features 4/ Reimbursement determines everything ↳ No CPT code = no sustainable business model ↳ Insurance coverage drives provider adoption ↳ Value-based care is changing this slowly ↳ Free trials don't create lasting change 5/ Clinical champions make or break technology ↳ One enthusiastic doctor can drive adoption ↳ Early adopters must see immediate benefits ↳ Word-of-mouth beats marketing every time ↳ Resistance from key stakeholders kills innovations The pattern I've seen: companies build technology for the healthcare system they wish existed, not the one that actually exists. They optimize for TechCrunch headlines instead of clinic workflows. They design for Silicon Valley investors instead of 65-year-old physicians. A successful healthcare technology I've implemented? A simple visit summarization app that saved me time and let me focus on the patient. No fancy interface, very lightweight, integrated into my clinical workflow, effortless to use. Just solved an problem that users had. Healthcare doesn't need more revolutionary technology. It needs evolutionary technology that works within existing systems. ⁉️ What's the simplest technology that's made the biggest difference in your healthcare experience? Sometimes basic beats brilliant. ♻️ Repost if you believe implementation beats innovation in healthcare 👉 Follow me (Reza Hosseini Ghomi, MD, MSE) for realistic perspectives on healthcare technology

I still remember how distressing it was being the hospital executive on call in winter, knowing the hospital had no beds left and no good options — for patients or staff.   High‑quality, affordable healthcare starts with one thing: understanding demand — and planning capacity around it.   During my recent trip to Saudi Arabia, I saw how this is being applied at a national scale through Vision 2030. A robust nationwide demand and capacity model which is already shaping decisions across prevention, primary care, new hospital builds and major diagnostics such as MRI.   Earlier in my career as an NHS CFO, I saw how frequently decisions were made in silos — capital, workforce, digital — often disconnected from a real understanding of population driven demand.   The consequences are stark: long A&E waits, cancelled operations, and teams working at breaking point. Even with the best intentions, systems struggle when demand isn’t clearly understood and planned for.   The progress under Vision 2030 is real: a shift toward population health and prevention, clearer system governance, and far more disciplined, data‑led planning. Importantly, that same model is now guiding the next phase — shaping virtual care and targeted uses of agentic AI so digital investment delivers real impact.   The lesson is simple: Start with demand. Design integrated services around population need. Align workforce, estates, diagnostics and digital behind it. Stop planning in silos.   That’s how health systems move from ambition to delivery — and from pressure to performance. #healthcare #tranformation #virtualcare #agenticAI #integratedcare #populationhealthmanagement

My AI lesson of the week: The tech isn't the hard part…it's the people! During my prior work at the Institute for Healthcare Improvement (IHI), we talked a lot about how any technology, whether a new drug or a new vaccine or a new information tool, would face challenges with how to integrate into the complex human systems that alway at play in healthcare. As I get deeper and deeper into AI, I am not surprised to see that those same challenges exist with this cadre of technology as well. It’s not the tech that limits us; the real complexity lies in driving adoption across diverse teams, workflows, and mindsets. And it’s not just implementation alone that will get to real ROI from AI—it’s the changes that will occur to our workflows that will generate the value. That’s why we are thinking differently about how to approach change management. We’re approaching the workflow integration with the same discipline and structure as any core system build. Our framework is designed to reduce friction, build momentum, and align people with outcomes from day one. Here’s the 5-point plan for how we're making that happen with health systems today: 🔹 AI Champion Program: We designate and train department-level champions who lead adoption efforts within their teams. These individuals become trusted internal experts, reducing dependency on central support and accelerating change. 🔹 An AI Academy: We produce concise, role-specific, training modules to deliver just-in-time knowledge to help all users get the most out of the gen AI tools that their systems are provisioning. 5-10 min modules ensures relevance and reduces training fatigue.  🔹 Staged Rollout: We don’t go live everywhere at once. Instead, we're beginning with an initial few locations/teams, refine based on feedback, and expand with proof points in hand. This staged approach minimizes risk and maximizes learning. 🔹 Feedback Loops: Change is not a one-way push. Host regular forums to capture insights from frontline users, close gaps, and refine processes continuously. Listening and modifying is part of the deployment strategy. 🔹 Visible Metrics: Transparent team or dept-based dashboards track progress and highlight wins. When staff can see measurable improvement—and their role in driving it—engagement improves dramatically. This isn’t workflow mapping. This is operational transformation—designed for scale, grounded in human behavior, and built to last. Technology will continue to evolve. But real leverage comes from aligning your people behind the change. We think that’s where competitive advantage is created—and sustained. #ExecutiveLeadership #ChangeManagement #DigitalTransformation #StrategyExecution #HealthTech #OperationalExcellence #ScalableChange

Digital Health Transformation? 90% is People, 10% is Tech Every hospital exec wants digital transformation. Until they realise it means changing people. Not just platforms. The reality? The software rollout isn’t the hard part. Getting a HCP to stop using their spreadsheet is. You can spend millions on the best tools. And still get crushed by resistance, silos, burnout, bureaucracy. Why? Because transformation doesn’t happen on a dashboard. In the break room. It happens on the ward. During a night shift when the system crashes. You can’t “deploy” adoption. You have to lead it. Fight for it. Sometimes, bleed for it. And that means retraining staff who don’t want to be retrained. Redesigning workflows that weren’t broken - until now. Making it harder before it gets easier. Taking the heat when clinicians revolt. Stop treating change management as the last checkbox. Make it the first investment. Bring HCP's into the design. Over communicate. Over-index on trust. Overtrain. The best HealthTech companies don’t just launch tech. They help rewire culture and implement change.

We don't have the luxury of time for experiments, bandwidth for endless pilots, or the comfort of incremental improvement anymore. The challenges we face (aging populations, workforce exodus, technological complexity, geopolitical instability, cybersecurity threats, and cost unsustainability) demand a fundamentally different approach. Yet we continue to treat innovation as a side project, pouring in pilots funded by temporary grants, championed by isolated enthusiasts, and measured by publications rather than impact. The "BOHICA" Reality on the Floor. We are bombarding our healthcare staff with an endless stream of new "solutions", often without taking the time to deeply understand how to actually offload their cognitive workload, and the assumption one could implement this 'on the side'. The result? A workforce that is numb, resistant to change, and leaving the profession in alarming numbers. When boards and governments introduce the next big fix -like pitching AI as the silver bullet, or an EMR that will help you massively- the reaction from the frontline is rarely enthusiasm. Instead, it is what Tilburg University Professor Mathieu Weggeman coined as BOHICA: "Bend Over, Here It Comes Again."

Ever wonder why we tend to solve problems the hard way? 🤔 The key is in how we connect the dots. A cancer hospital was facing a major challenge. Patients, often anxious, needed timely care without added delays. Doctors relied on quick access to medical images to make this possible. For most hospitals, loading images within three seconds is the standard. But cancer patients often have extensive imaging records, making this target a significant challenge. This created escalating pressure in an environment that's already stretched to its limits The hospital consulted several firms. They all suggested the same thing: a costly network upgrade that would disrupt daily operations and inconvenience patients even more. The proposed solution was out of the question, the hospital needed something affordable that wouldn’t disrupt patient care. A consulting firm graciously recommended me for the task. I saw the problem from a different angle. IT experts looked at the network. But as a Health Informatician, I focus on using data and technology to design health services that support optimal care delivery. Instead of waiting for doctors to request images, why not load them in advance? By preparing the images during the patient’s wait time, we created a seamless workflow without costly upgrades. The results were immediate and impactful. 😊 The hospital easily met the three-second target, and patients noticed the improvement with shorter wait times. The cost savings were substantial, all without any disruption to care. "Adam, you literally performed magic!” shared the hospital’s clinical operations lead. Sometimes, the simplest solutions make the biggest difference. The key was understanding how health services connect and using technology to support these connections. These days, as a digital health transformation coach, I continue to co-design sustainable, human-centered innovations that improve how information is used to advance health outcomes. Ever found a simple solution to a complex challenge? I’d love to hear your insights and share approaches that make an impact. #HealthcareInnovation #LeadershipLessons #DigitalTransformation

"𝘞𝘩𝘦𝘯 𝘺𝘰𝘶 𝘱𝘶𝘴𝘩, 𝘸𝘦 𝘱𝘶𝘴𝘩 𝘣𝘢𝘤𝘬 𝘩𝘢𝘳𝘥𝘦𝘳." It’s an unspoken agreement in workplaces everywhere. Are you unknowingly igniting resistance instead of sparking change? 𝗧𝗵𝗲 𝗛𝗶𝗱𝗱𝗲𝗻 𝗖𝗼𝘀𝘁 𝗼𝗳 𝗣𝘂𝘀𝗵𝗶𝗻𝗴 𝗧𝗼𝗼 𝗛𝗮𝗿𝗱
 At City Hospital (a pseudonym used to protect confidentiality), the CEO, “Juliette Garnier” (also a pseudonym), believed decisive action would save the day. Faced with a funding crisis, she enforced a 10% budget cut across departments. Her intent? Keep the hospital afloat. The result? Chaos. Her leadership team froze in silence, employees raged in the corridors, and nurses threatened a strike over unsafe working conditions. Garnier had unknowingly stepped into what I call The 𝙋𝙪𝙨𝙝 𝘽𝙖𝙘𝙠 𝙋𝙖𝙩𝙩𝙚𝙧𝙣: * 𝗘𝘅𝗲𝗰𝘂𝘁𝗶𝘃𝗲𝘀 = 𝗘𝗻𝗳𝗼𝗿𝗰𝗲𝗿𝘀 * 𝗘𝗺𝗽𝗹𝗼𝘆𝗲𝗲𝘀 = 𝗥𝗲𝘀𝗶𝘀𝘁𝗼𝗿𝘀 The harder you push, the harder people push back. 𝗪𝗵𝗮𝘁 𝗦𝗼𝗺𝗲 𝗟𝗲𝗮𝗱𝗲𝗿𝘀 𝗠𝗶𝘀𝘀 𝗔𝗯𝗼𝘂𝘁 𝗥𝗲𝘀𝗶𝘀𝘁𝗮𝗻𝗰𝗲
 Resistance isn’t about rejecting change. It’s about rejecting the way change is imposed. When people feel ignored, undervalued, or strong-armed, their silence or anger signals mistrust and resentment. The more forceful the push, the stronger the resistance grows. 𝗕𝗿𝗲𝗮𝗸𝗶𝗻𝗴 𝘁𝗵𝗲 𝗣𝗮𝘁𝘁𝗲𝗿𝗻
 Garnier recognised the pattern and shifted her approach. Instead of enforcing change, she invited her team to co-create solutions. Within weeks, the same employees who had resisted her became her strongest allies, crafting a plan that cut costs without compromising care. The strike was called off, and trust was restored. 𝗧𝗵𝗲 𝗟𝗲𝘀𝘀𝗼𝗻 𝗳𝗼𝗿 𝗟𝗲𝗮𝗱𝗲𝗿𝘀 
Leaders who force change light fires that burn bridges. Those who nudge—inviting collaboration and listening deeply—build lasting trust and sustainable results. Are you lighting fires or building bridges? Would love to hear your views: What strategies have worked for you to overcome resistance and inspire collaboration? 📚 For a systemic lens to creating lasting change, explore the ideas in my book, 𝙏𝙝𝙚 𝙃𝙞𝙫𝙚 𝙈𝙞𝙣𝙙 𝙖𝙩 𝙒𝙤𝙧𝙠.

💡 Would your CEO shave their head for continuous improvement? At IU Health Goshen Hospital, that actually happened. Back in 2009, CEO James Dague made a bold promise: If staff generated $3.5M in savings through improvement ideas, he’d shave his head. They more than doubled that goal. True to his word, Dague stood in front of his colleagues—and the clippers—and followed through. Not as a gimmick, but as a statement of respect. From 1998 to 2012, Goshen’s Lean-based improvement efforts have saved over $30 million. But the numbers aren’t the story. The real success? 🏥 17+ years without layoffs 🏥 A culture where every staff member is empowered to improve their work 🏥 National recognition as a top workplace 🏥Small ideas made a big difference: 💰 $4K saved by switching napkins 💰 $22K saved by replacing disposable gowns with cloth Goshen’s “Uncommon Leader” program didn’t just create better outcomes. It created better leadership—by distributing it. 🔍 Is your organization building this kind of culture? Or are staff still waiting for permission to improve? Let’s talk about how to turn everyday people into uncommon leaders. 👇 What’s the boldest thing a leader at your organization has done to support improvement? #Lean #Kaizen #Leadership #PsychologicalSafety #ContinuousImprovement #Healthcare #RespectForPeople #LearningCulture

#Physicians aren’t resisting #AI. They’re resisting being erased from the conversation. Every week, I hear the same thing from colleagues. We’re using AI. We see the value. But we weren’t asked how it should show up in our clinical lives. The data makes that disconnect impossible to ignore: • 67% of physicians already use AI daily • 84% say AI makes them better at their jobs • 81% are dissatisfied with how their organizations deploy it • 71% report little or no influence over AI decisions So the issue isn’t adoption. It’s agency. From the front lines, what clinicians actually want is simple: • Less documentation — not new layers to review • Fewer clicks — not more dashboards • Time back for patients — not metrics for administrators And what they’re pushing back against is just as clear: • AI imposed top-down without clinical input • Tools optimized for billing and payers, not care • Responsibility and liability without protection or transparency This is the part that often gets missed. AI doesn’t fail in healthcare because doctors resist change. It fails when doctors are treated as end-users instead of co-designers. Technology should augment clinical judgment not sideline it. If healthcare AI is going to earn trust, it won’t be because the algorithm is smarter. It’ll be because clinicians were given a real seat at the table. What would change in your organization if physicians helped shape AI from day one? #HealthcareAI #PhysicianLedAI #HumanInTheLoop #DigitalHealth #DrGPT

A heartbreaking story surfaced recently. A young doctor in Kuala Krai passed away while on duty. The details are still unfolding, but the conversation that followed has been sobering. The Ministry of Health (MoH) has been asked to look into the systemic issues behind such tragedies and to build what is known as a “Just Culture.” A culture where people can speak up about mistakes, fatigue, or risks without fear of punishment. Reading this reminded me of a famous line often attributed to Peter Drucker: “Culture eats strategy for breakfast.” We often talk about systems, targets, and KPI performance. But underneath all of that sits something more powerful. ✨ "Culture" The invisible environment that shapes how people behave, speak up, or stay silent. The healthcare sector is not the only place where this matters. In many workplaces today, people are quietly navigating: • overwhelming workloads • pressure to perform • fear of making mistakes • the feeling that they must always appear “strong” When these pressures accumulate without support, people stop speaking up. They start "coping silently" or end up "quitting silently". Both these responses erode individual's well-being and performance. So the real question for leaders is not only about strategy or productivity. It is about culture. What kind of culture allows people to thrive, not just survive? Perhaps a culture that encourages psychological safety? An environment where: • People can speak honestly without fear of humiliation • Mistakes are treated as learning opportunities, not blame sessions • Leaders are approachable and human, not distant authorities • Workload and recovery are both respected • Conversations about stress and mental health are not taboo Psychological safety does not make organisations weaker. In fact, it often makes teams stronger, more innovative, and more resilient. Because when people feel safe, the brain operates differently. The threat system quiets down. The thinking brain comes online. And people perform at their best. Perhaps this tragic incident is a reminder for all of us, not only in healthcare, but across industries. Culture is not an abstract idea. It shapes how people feel when they walk into work every day. And sometimes, it shapes far more than we realise. If you have a choice, what work culture would you like to work in? Hi, I’m Shirlyn Lim, a Brain Coach & Mental Health Speaker. I share science-backed insights to help you stay calm under pressure, think clearly, and lead with confidence. Follow me if you’re ready to build a sharper mind, a stronger team, and a version of success that doesn’t burn you out. 🏆🏆 #workculture #tragicnews #malaysianews #brainboss