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As supply chains rupture and decarbonisation becomes imperative, companies in vital industries are feeling squeezed and falling behind. To succeed, they must move quickly from a traditional to an integrated approach to managing work, then beyond to ‘quantum work management’.
This is Part 1 of a series. Read the other parts here:
Part 1: Work is Work
Part 2: Integrating Work
Part 3: Quantum Work Management
Part 4: Productively safe where the worker meets the work
[Listen to the audio version, read by David Hodes]
My first article in a new series explores the problems with the traditional approach to work management. The first shift is to realise that all work is work.
Let’s start by considering the multitude of types of work a large facility might encounter on any given day: Research. Planning. Health & Safety. Design. Building. Testing. Maintaining. Project Management. Consulting. Contracting. Accounting & Finance. Trades. Professionals. Administrative. Analysis and Improvement. Strategy. Meetings. Change Management. IT. Learning and Development. Organisational Design. Leadership.
The work we undertake in our industrial environments has a single imperative: to perfectly manage the trade-offs between safety, throughput and cost outcomes within a given set of environmental, social and governance (ESG) constraints.
This goal is a significant and ongoing challenge in the contemporary operating environment. Unstable geopolitical dynamics, uncertain supply chains, overarching social and environmental issues and increasingly volatile global markets create complex conditions that require constant attention and adjustment.
Against this backdrop of change, sustaining market-based democratic systems and the free enterprises that operate within them will require a transformation into new ways of working, whether you’re in products, services, or both.
The scale of the challenge is amplified by the long-term shortage of skilled workers—from PhDs to trades, from administrators to creatives. To design, plan and execute transformations successfully, we must make better use of the scarce resources to which we have access.
There are different ways to think about work given the challenge. In addition, there are likely varying levels of sophistication and maturity in work management across your organisation. However, the archetypal approaches to work management outlined in this series of articles are Traditional, Integrated and Quantum. I will aim to showcase the characteristics and dynamics of each approach and contrast the organisational outcomes that can result.
Traditional Work Management focuses on managing people and their attention to the tasks they are assigned. Safety, throughput, and cost outcomes are considered discretely. As a result, work management can feel inexplicable as you juggle trade-offs that don’t make holistic sense. Work then feels frustrating as everyone realises the business has put artificial limits on success.
This kind of work is characterised by linear thinking, waterfall planning, fixed processes, reactive behaviours, and individualised, subjective decision making. Information is typically of low quality and high latency. Activity is undertaken based on screen fragments and printed work orders, work methods, drawings, safety controls, Gantt charts, spreadsheets, checklists, PowerPoint, and so on.
Service sign-off is manual, creating discrepancies in records. Inaccuracies happen with invoicing, and supervisors are left to arbitrate what work was done and decide what adjustments must be accounted for.
“The scale of the challenge is amplified by the long-term shortage of skilled workers”
There is difficulty in correctly accounting for contractor remuneration based on non-standardised contracts, with varying business rules governing the application of standard and penalty rates. It is thus difficult to track costs; myriad functional cost centres are not necessarily aligned with day-to-day activities.
Opening and closing of activities are mostly divorced in the system of record from the actual activity start and end times, and touch-time effort. Priorities and dependencies are often ambiguous and subjectively determined. Master data containing work standards is seldom updated and often wrong.
Owners rely on vendors to reconcile time and attendance of standard and penalty hours by person and resource type. Focused operators have clear incentives to manage inputs, work, and outputs. They are naturally deferred to but run on intuition and memory rather than true data. For example, contractors and vendors claim to have delivered on scope, time and budget. It is challenging and administratively burdensome to validate or audit their claims. All the same, work tracking is updated, and invoices are often paid regardless.
There is a largely static, deterministic and incomplete articulation of demand for work to be performed by resource types at times in places. In addition, there is low resolution and visibility of capacity available for work by resource type at times and in places. All the while, vendor revenue is the owner’s cost, setting up an inherent conflict when win-win trade-offs cannot be readily determined in a timely fashion.
Owner’s knowledge workers (eg, engineering, maintenance, operations and technical) are siloed in different business functions, preventing the application of scarce resources to the highest value-adding work from wherever it arises.
Study phase teams are often disconnected from delivery teams, working to different KPIs, without a single person with end-to-end accountability for the delivery of scope on time and within budget.
The interface between knowledge-work consultants (engineers, environmental, project management etc) and owner’s staff run to different drumbeats, off different systems and processes, making effective coordination and prioritisation very difficult.
“Information is typically of low quality and high latency”
Long- and short-term operational planning coordinates people and equipment at low levels of fidelity. Plans and resources are difficult to change and update in the light of changing conditions.
For example, the Master Equipment Calendars (MEC) cannot easily be modified as there is much work that could be done, and some which must not be done, once a major maintenance event has been programmed. In addition, having low capability in tactical agility means it is tough to mobilise resources to where they need to be to maintain the integrity of the MEC.
Timetabling is set, but demands change on an hourly basis. As a result, people often end up ‘stranded’ where they are assigned rather than focused on the highest priorities of the enterprise. For example, erecting scaffolding for an urgent piece of emergent work in a major shut is more critical than dismantling scaffolding in the processing plant, but the means are not there to readily respond.
The net result is an increase in lead times, inventory, work in process, OPEX, rework, unit costs and bang for the buck for CAPEX. And a decrease in revenue, margins, speed to market, due-date dependability, quality, innovation, engagement and ROI.
It has never been the case that having these critical business metrics trending in this way is in any way sustainable. But, given the tectonic shifts unfolding in global supply chains in our post-pandemic world, the imperative for improvement has become far more acute.
As you can see, traditional work management is failing organisations just when they need to be operating productively at maximum effectiveness. In my next article, I’ll provide a characterisation of integrated work management, with which many of the challenges articulated in this article can be resolved. But is it enough?
This is Part 1 of a series. Read the other parts here:
Part 1: Work is Work
Part 2: Integrating Work
Part 3: Quantum Work Management
Part 4: Productively safe where the worker meets the work
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What’s next?
The change to using Theory of Constraints (TOC) as an underlying operating system is both profound and exhilarating. We’ve developed the Systems Thinker Course to bring the ideas into your organisation.
[Background image: Battersea Power Station, Rodney Minter Brown on Unsplash]
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Healthcare professionals are central to the patient’s progress from awareness of a therapy to successful long-term use. They identify risk, interpret evidence, diagnose conditions, discuss options, perform procedures, provide training and monitor outcomes.
Yet many medical device development programs treat healthcare professionals primarily as users to be trained or customers to be persuaded.
HCP-Centered Design takes a wider view. It examines the work healthcare professionals must perform, the system in which they perform it and the constraints that limit their ability to move suitable patients through the care pathway.
“If patient flow depends on a healthcare professional, that professional’s available capacity may determine how many patients ultimately receive the therapy.”
A medical device patient journey commonly depends on several healthcare professionals:
Each professional governs a transition in the flow of patients.
If one transition lacks sufficient capacity, information or clarity, the whole pathway slows. More marketing, sales activity or production capacity will not compensate for a shortage of specialist time or a burdensome diagnostic process.
This is why HCP-Centered Design is not simply about making an interface easier to use. It is about enabling the system of care to perform.
A healthcare professional’s work depends on information and actions supplied by others. They may rely on referrals, patient histories, pathology, imaging, electronic records, clinical guidelines and the availability of equipment or trained colleagues.
After reaching a decision, they may need to explain it, document it, arrange authorization, coordinate treatment and prepare the next person in the pathway.
A technically strong solution can still create difficulty if it:
The relevant design question is not merely, “Can the HCP use this product?”
It is, “Does this solution improve the HCP’s ability to complete important clinical work within the conditions in which care is actually delivered?”
“HCP” is not one persona.
A general practitioner, specialist, interventional physician, nurse, technician and clinical administrator encounter different stages of the pathway. Each has different responsibilities, authority, expertise and exposure to risk.
Even within a profession, context matters. An experienced specialist in a major hospital may approach the same task differently from a professional who encounters the condition infrequently or works without immediate specialist support.
Useful HCP personas distinguish factors that influence work:
These personas clarify who performs each job and what support each person requires.
The HCP journey often begins before the visible clinical procedure.
It may include receiving a referral, gathering information, forming an initial view, ordering investigations, interpreting results, deciding whether the patient is eligible, discussing treatment, obtaining authorization, preparing for the procedure, delivering care and arranging follow-up.
At each stage, ask:
The resulting journey map should distinguish processing time from waiting time. A decision may require only minutes of specialist attention while patients wait weeks to access that attention.
This reveals the practical relationship between HCP capacity and patient flow.
The Theory of Constraints directs attention to the factor limiting the performance of the entire system.
In some pathways, the constraint may be the number of qualified interventional specialists. In others, it may be diagnostic capacity, physician confidence, authorization effort, operating room access or the time required to train patients.
The constraint may also be hidden inside the HCP’s working day.
A specialist supporting a therapy must still manage other clinical duties, administration, meetings, documentation and urgent cases. The question is not simply how many specialists exist. It is how much of their usable capacity is available for the activities upon which patient flow depends.
“The scarcest resource may not be the healthcare professional. It may be the few hours of focused capacity available for the critical work.”
Improvement away from this constraint can make performance worse. Sending more referrals to an already overloaded specialist increases the queue. Adding information may increase cognitive burden. Creating another approval may consume the capacity required to treat patients.
HCP-Centered Design seeks to protect and expand the capacity that governs flow.
Policies and procedures describe how clinical work should happen. Observation reveals how it actually happens.
Healthcare professionals routinely compensate for missing information, awkward interfaces and unreliable handovers. These workarounds may become so familiar that nobody reports them as problems.
Gemba research should examine:
The purpose is not to judge the healthcare professional. It is to understand the system surrounding the work.
“A workaround is often evidence that the system has failed to support the person doing the work.”
Healthcare professionals do not simply use devices. They use them to make progress in clinical work.
An HCP may need to identify risk, reach a confident diagnosis, select an intervention, perform a procedure safely, explain options, monitor progress or recognize deterioration.
A structured job map divides this work into eight stages:
This wider view prevents the product team from concentrating exclusively on the procedure.
The greatest value may come from reducing preparation, improving decision confidence, clarifying an exception, simplifying documentation or improving the handover to follow-up care.
Comments such as “the interface is difficult” or “we need better information” indicate dissatisfaction, but do not provide sufficient direction for design.
They should be translated into measurable outcome statements, such as:
“Minimize the time required to identify which clinical information is missing before making a treatment decision.”
Or:
“Reduce the likelihood that a clinically significant change goes unrecognized between scheduled reviews.”
A broader population of healthcare professionals can then assess the importance of each outcome and their satisfaction with their current ability to achieve it.
Highly important and poorly satisfied outcomes provide a rational basis for prioritizing innovation.
“Adoption follows when a solution makes important clinical work safer, clearer or easier to complete.”
The five-step FOCUS process creates a practical improvement cycle.
Find the constraint. Determine which HCP activity or resource currently limits patient flow.
Optimise for it. Protect the constraint from avoidable work, missing information, interruptions and rework.
Collaborate around it. Align upstream and downstream teams so patients, information and resources arrive when required.
Uplift it. Add capacity, redesign responsibilities, improve technology or remove restrictive policies.
Start Again. Identify the new constraint once flow improves.
This approach allows the organization to distinguish activity from value. It also turns HCP engagement into an ongoing management discipline.
HCP-Centered Design must connect clinical reality with patient needs, technology, regulation and business strategy.
A Value Management Office can help coordinate these perspectives across the product lifecycle. Its role is to ensure that projects, resources and stage-gate decisions remain connected to patient flow and business value.
The organization should be able to show:
The goal is not simply a device that healthcare professionals can operate. It is a solution they can confidently incorporate into care and a delivery system capable of getting that solution to more patients.
Use the HCP-Centered Design assessment to determine how well your organization understands clinical work, HCP capacity and the constraints governing patient flow.
The resulting evidence should guide product design, process improvement and investment toward better products, delivered faster, with more lives changed for good.
Medical device companies devote enormous skill and investment to developing safe, effective products. Yet a technically successful device changes no lives while suitable patients remain unable to reach it.
Between a patient becoming aware of a therapy and receiving its intended benefit lies a pathway of referrals, consultations, diagnostics, approvals, procedures, training and follow-up. Every step consumes time. Between the steps, patients wait. At some points, they become confused, discouraged, ineligible or lost to the process.
Patient Centered Design must therefore address more than the design of the device. It must improve the performance of the entire system through which patients reach, receive and live successfully with the solution.
“A life-changing therapy changes no lives while patients remain trapped in the pathway leading to it.”
A typical medical device journey may include:
Companies often manage these stages as separate functions. Marketing works on awareness. Medical affairs supports clinicians. Market access addresses reimbursement. Sales works with specialists. Clinical teams gather evidence. Training teams support adoption.
The patient, however, experiences one journey.
From the patient’s perspective, a delay between two organizational functions remains a delay. A repeated test remains repeated work. An unclear handover creates uncertainty regardless of which department owns it.
Patient Centered Design begins when the organization sees and manages this journey as a connected system.
Every step contains some necessary processing time. A consultation takes time. A diagnostic test takes time. An authorization must be assessed. A procedure must be performed.
The patient’s total lead time, however, also includes the waiting between these activities.
A consultation may take 30 minutes, but the patient could wait six weeks for it. A diagnostic test may take an hour, followed by another delay before a specialist reviews the result. Prior authorization may require little actual work while adding weeks to the pathway.
This distinction matters because organizations often improve processing time while leaving the larger queues untouched. Saving five minutes during an appointment produces little benefit if the patient waits months to reach it.
Patient Centered Design therefore asks:
The answers reveal the true performance of the patient system.
Theory of Constraints teaches that the performance of any system is limited by a constraint. Improving a part of the system that is not constraining flow may create more activity without increasing results.
If diagnostic capacity is the constraint, generating more awareness may simply produce a longer queue for diagnosis. If specialist capacity is the constraint, accelerating authorization may move patients more quickly into another wait. If training after first use is inadequate, increasing procedures may produce poor experiences and avoidable follow-up demand.
“More activity at a non-constraint creates work in process. More capability at the constraint improves the system.”
The constraint is not always a physical resource. It may be a policy, an eligibility rule, missing evidence, a fragmented handover, an information delay or the cognitive burden placed on the patient.
The most important question is therefore not, “How do we improve every step?”
It is, “What currently limits the flow of suitable patients to successful use of the therapy?”
Numbers show where patients are lost. Patient research helps explain why.
Two patients with the same diagnosis may respond very differently. One may actively seek new treatment options. Another may delay action until symptoms become severe. A third may want help but lack confidence in navigating the healthcare system.
Meaningful patient segmentation considers characteristics that influence behavior:
These differences affect whether patients enter the pathway, remain engaged and successfully adopt the solution.
The Gemba is the place where work actually happens. For patients, this includes the home, clinic, hospital and all the places where they manage their condition between formal encounters.
Interviews alone may miss important evidence. People normalize inconvenience, forget workarounds and simplify their past decisions. Observation allows the development team to see what patients actually do.
Good research combines three activities.
Observe. Watch how patients obtain information, prepare, use the solution and respond when something goes wrong.
Immerse. Understand the physical, emotional and practical conditions surrounding the experience.
Engage. Ask open questions that allow patients to describe their goals, fears and frustrations in their own language.
The purpose is to discover the patient’s reality before asking them to evaluate the organization’s preferred answer.
Patients rarely want a medical device for its own sake. They want the progress it may enable.
They may want to recognize deterioration earlier, preserve independence, reduce pain, avoid repeated visits, return to work or prevent a disease from controlling daily life.
A useful job map examines eight recurring stages:
This reveals opportunities beyond the immediate use of the device. The most valuable improvement may involve helping patients prepare, confirm readiness, recognize an exception or understand what happens next.
Stories create understanding, but investment decisions require structured evidence.
Patient observations and comments should be converted into outcome statements that identify:
For example:
“Minimize the time required to recognize that my condition has changed sufficiently to require clinical help.”
Patients can then assess the importance of each outcome and their satisfaction with their current ability to achieve it.
Highly important and poorly satisfied outcomes represent genuine opportunities. This prevents teams from prioritizing attractive features that do not materially improve the patient’s life or progress through the pathway.
“Innovation becomes valuable when it improves an outcome that matters and remains poorly served.”
The Patient Centered Design pathway can be improved through a repeating discipline:
Find the constraint. Identify what currently limits patient flow or successful use.
Optimise for it. Make the best possible use of existing constraint capacity.
Collaborate around it. Align functions and partners so their actions support the constraint.
Uplift it. Add capability, remove restrictive policies or redesign the pathway.
Start Again. Once the constraint moves, identify and address the next limiting factor.
This prevents improvement from becoming a collection of disconnected initiatives. It directs scarce resources toward the factor that most strongly governs the result.
Patient insight should influence more than early product design. It should shape clinical evidence, regulatory strategy, reimbursement, manufacturing, education, market development and post-market support.
The organization should be able to show:
The goal is not simply to place the patient at the center of a diagram. It is to organize the enterprise around delivering better products faster, so that more lives can be changed for good.
Use the Patient Centered Design assessment to determine how well your organization understands its patient journeys, priority outcomes and constraints to patient flow.
The result should be more than another collection of patient opinions. It should provide evidence that directs strategy, investment and execution toward the changes that matter most.
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