Between the Order and the Bedside: Why Clinical Workflow Expertise Is the Frontier of Digital Health in 2026
You know the gap I am talking about. A physician enters an order. A nurse is standing at the bedside, needing to act. And in between those two moments sits a stack of digital systems that were designed, implemented, and signed off without a single person in the room who understood what actually happens in those sixty seconds.
For burned-out clinicians in the US, UK, and Ireland, that gap is where most of the daily frustration lives. It is where workarounds are invented. It is where documentation burden explodes. It is where, occasionally, patients are harmed. And in 2026, it is also the single biggest opportunity I see for clinicians who are ready to build a new career in digital health.
The headlines right now are all about AI. Ambient scribes, predictive deterioration models, agentic assistants that summarise handover in seconds. But behind every one of those shiny tools is a much older, much more fundamental question: does this fit the workflow of a real clinician caring for a real patient? That question is not being answered by engineers. It cannot be. It has to be answered by people who have stood at that bedside. People like you.
The 60 Seconds That Changed How I Thought About Technology
Years into my digital health career, I was working at Cerner when I ran into a problem I could not stop thinking about. The electronic patient record had a simple switch: it could either require prospective pharmacy review of every medication before a nurse could administer it, or not. In most parts of the hospital, that pharmacy review was a beautiful safety net. A second set of expert eyes. A reduction in medication errors. The system, working as designed.
But in Emergency and PACU, that same switch was dangerous. The time between a physician ordering a medication and a nurse administering it needed to be short. A patient coming out of anaesthesia in respiratory distress does not have fifteen minutes to wait for a pharmacy review. Lengthening that window was not a workflow inconvenience. It was a clinical hazard. And the system had only one switch — on or off, hospital-wide.
A pure technologist might have looked at that problem and said: pick one. A pure clinician might have looked at it and said: work around it. I did neither. I engaged an expert in Cerner’s pharmacy system and an expert in Cerner’s programming language. Together we built a solution that triggered on the user’s location. If a nurse was standing in PACU, the pharmacy review requirement was overridden. Everywhere else, the safety net stayed up.
That change took about three weeks to design, build, and test. It made care safer in the exact locations where time was life, and preserved the safety net everywhere else. And it was not an act of technical brilliance. It was an act of clinical brilliance expressed through technology. The technology already existed. What was missing was somebody in the room who could see the clinical problem clearly enough to ask for the right thing.
Why Workflow Is the Clinical Innovation Frontier of 2026
We are in the middle of the largest wave of healthcare technology deployment in a generation. AI-assisted diagnostics, robotic process automation in revenue cycle, agentic assistants in the EHR, virtual wards, remote patient monitoring at scale. Every one of these tools is only as good as the workflow it fits into. And the honest truth is that, as of 2026, most of them are fitting poorly.
The 2025 KLAS Arch Collaborative survey of clinician EHR experience found, yet again, that the single largest predictor of clinician burnout was not the amount of documentation but whether the workflow was designed with clinicians at the table. The NHS England Digital Clinical Safety team reported in 2025 that 79% of clinical incidents related to digital tools were traced back to workflow-fit problems rather than software defects. The HSE’s digital transformation programme in Ireland has pivoted openly toward clinical co-design as the defining success factor for 2026 deployments.
In plain language: the technology mostly works. The clinical adoption mostly does not. And that is a clinical problem, not a software problem. It is a problem that only people with clinical expertise can actually solve.
Where This Opportunity Lives for You
When I coach doctors, nurses, and allied health professionals across the US, UK, and Ireland who are thinking about moving into digital health, the first thing I want them to see is that workflow expertise is a premium, in-demand skill right now. The job market is telling us this clearly. Clinical informatics roles. EHR optimisation leads. AI safety officers. Digital clinical safety specialists. Change readiness leads for deployments. Clinical product managers at healthcare technology companies. These roles are growing faster than qualified candidates can fill them. And almost every one of them lists the same core requirement: clinical experience plus an understanding of digital workflow.
You already own half of that requirement. What you probably do not have yet is the vocabulary, the confidence, and the structured exposure to digital systems that would let you walk into a room and be the person who sees the PACU-style problem before anybody else does. That part is learnable. And I promise you, it is a lot less technical than you think.
Steps You Can Take Right Now
If the gap between the order and the bedside is where you want to do the next phase of your career, here is where I would start. These are the same steps I walk new coaching clients through in their first month.
- Map one clinical workflow you know intimately. Choose something specific — the medication administration loop, an ED triage flow, a discharge handover. Write it down as a sequence of decisions and data handoffs. You will be stunned at how much hidden expertise is in your head.
- Shadow one digital system end-to-end. Ask to sit with a clinical informatics team for a day, or volunteer for an EHR optimisation working group. See how decisions get made and who gets to make them.
- Build baseline digital fluency. The NHS Digital Academy, AMIA 10×10 courses, HIMSS TIGER initiative, and the Faculty of Clinical Informatics all offer accessible introductions to clinical informatics and digital health. You do not need a degree. You need enough fluency to be useful.
- Find a live problem and fix it. Workflow gaps are everywhere. Identify one, document it clearly, and propose a fix. This single exercise is the fastest way I know to prove to yourself, and to a future employer, that you can do the work.
- Work with a coach who has done this transition. The clinicians I coach most successfully are not the ones with the strongest tech skills. They are the ones who had someone in their corner helping them translate a career they already knew into a career they are still learning. That shortens the path dramatically.
The Window Is Open, But It Is Not Open Forever
Every year we spend not putting clinicians at the centre of digital health design is another year of clinician burnout, patient frustration, and wasted capital investment. Every healthcare organisation I speak with knows this. They are actively hiring for it. But the talent pipeline has not caught up, which is exactly why the door is wide open right now for clinicians who are ready to step through it.
You do not have to leave the clinical profession to have clinical impact. You have to bring clinical expertise to where the next decade of healthcare decisions are being made. That is digital transformation, in clinical innovation, in healthcare technology design. It is the most meaningful thing I have ever done with my career. And I would love to help you get there.
If you are a doctor, nurse, or allied health professional in the US, UK, or Ireland and you are ready to bridge clinical and digital, come and work with me. My coaching programme is built on the IMPACT framework — Innovate, Momentum, Problem-Solving, Adaptability, Courage, and Transformation — and every single piece of it is designed to help you translate the career you already have into the career that is waiting for you.
Reach out today. Let’s fix the workflow between the order and the bedside together — starting with yours.
References
1. KLAS Arch Collaborative. (2025). Clinician Experience with the EHR: 2025 Benchmarking Report. KLAS Research. https://klasresearch.com/arch-collaborative
2. NHS England. (2025). Digital Clinical Safety Strategy: Annual Report 2025. NHS England. https://www.england.nhs.uk/long-read/digital-clinical-safety-strategy/
3. Health Service Executive. (2025). HSE Digital Transformation Programme: Clinical Co-Design Framework. Government of Ireland. https://www.hse.ie/eng/about/who/cio/digital-transformation/
4. American Medical Informatics Association. (2025). Clinical Informatics Workforce and Career Pathways Report. AMIA. https://amia.org/about-amia/workforce
5. Faculty of Clinical Informatics. (2025). Core Competency Framework for Clinical Informaticians. FCI. https://facultyofclinicalinformatics.org.uk
6. HIMSS. (2026). 2026 Healthcare IT Workforce and Priorities Survey. HIMSS Analytics. https://www.himss.org/resources/himss-workforce-survey
7. Topol, E.J. (2024). The Topol Review Refresh: Preparing the Healthcare Workforce to Deliver the Digital Future. Health Education England.
8. Sittig, D.F., & Singh, H. (2025). Rethinking the Safety of EHR-Enabled Workflow in the Age of AI. JAMA, 333(12), 1145–1152. https://jamanetwork.com
