Laboratory-based organisations have consistently undergone change, whether provisioning new analytical techniques, instrumentation, information system implementations, or incorporating new regulatory requirements. This is especially true today, when we are undertaking initiatives such as digital transformation and the introduction of AI/ML. In fact, one definition of transformation is ‘a radical change’.
What’s clear is that change is constant. However, managing change effectively is essential to success when undergoing these types of projects. Well-run lab informatics projects manage change within the software project lifecycle. Examples of project change include adjusting functional scope; raising change requests as functionality is demonstrated; and variation of costs. Yet, one key area of change is often neglected.
The problem arises when change management for lab informatics projects focuses solely on the technical delivery of the software. In these cases, very little effort is allocated to the change that will need to occur within the laboratory to accommodate the new system. If lab change management is considered, it is often dealt with ad-hoc and separately from the software delivery part of the project, leading to misalignment, misunderstanding, and missed timelines.
Lab Manager reports that in a typical change environment, 25% of staff will be early adopters, 25% will actively resist change, and about 50% will be ‘on the fence’ in the early stages.1
These statistics are backed up by experience. Scimcon is often called in to resolve issues within ‘in-flight’ informatics projects. All too often, the route cause analysis reveals the lab community only understood the true impact of the new system too late to adopt it, adapt lab workflow, and change procedures. Rectifying the issues after the fact is seldom quick or low-cost.
Informatics software does not function in isolation, so change management needs to consider the physical working procedures, workflows, SOPs, job roles, quality system, and other areas that will be impacted within the laboratory.
For example, the implementation of a new LIMS could trigger changes such as:
Given that a lab informatics project will generate a large number of change items similar to the above examples, they must be managed appropriately.
In many respects, these changes are very similar to a system’s user requirements, except they are related to the lab processes as opposed to software functionality. With this in mind, they need to be handled in a similar fashion. Create a team with a project lead and subject matter experts who represent the laboratory. The lab change team should be tasked with actively gathering and maintaining the backlog of change items throughout the project life cycle. Each change should be assessed for impact and priority, added to the change management plan, and allocated to team members to be actioned.
Before making any significant lab Informatics investment within an organisation, it is likely a business case will be required. If you are serious about managing all aspects of change this is where you should begin. Business cases generally do an excellent job of covering benefits, costs, and ROI – however, change management, specifically within the physical lab, is often not called out in terms of impact, approach or importantly the resources and associated costs.
Not highlighting the lab change management process, resources and costs at this stage will make it considerably more difficult for change management to become embedded in your project at a later stage.
The benefits of effectively integrating laboratory change management alongside traditional change management for lab informatics project cannot be ignored. New systems can get up and running faster, and can, importantly, deliver improved lab processes and be met with enthusiasm rather than reluctance, scepticism, or apprehension.
Scimcon consultants are on-hand to support lab leaders overseeing change. As many of our consultants have lab experience themselves, they have seen first-hand the impact of change in the lab, and can provide in-depth knowledge on how to ensure success.
For more information about how Scimcon can support your next big project, contact us.
Digital transformation is not a new concept, it is just expanding the use of technology as it advances. Today’s laboratory users expect a certain level of usability and synchronicity. After all, in other aspects of their daily lives they are accustomed to having, for example, a seamless digital shopping experience via Amazon.
So, with demand for digital transformation coming from the lab users themselves, and often from the organisation, establishing what it really means to you and what’s achievable, as well as where you are already on the path to digital transformation, is a useful starting point.
Digital transformation requires constantly improving the environment and the platforms in the lab to give the scientists the best tools possible and make their lives easier. It’s not a single project or something that will be completed in a year, or two.
For some organisations, the first step on their digital transformation might be putting in a new LIMS or ELN – which drastically improves their operations, but could be a huge undertaking depending on the scale of the organisation and the legacy infrastructure. For others, it might be establishing the tools and connections to enable the online monitoring of instrument status, automatic ordering of consumables, reserving instrument time and auto-tracking utilisation, for example. Plus, there are many iterations in between.
What’s important for any lab embarking on, or evolving, a digital transformation journey, is to determine where they are, what their goals are and what’s achievable.
We understand the scale of the digital transformation challenge, as well as what is needed to overcome limitations and ensure improvements are made. Our team of experienced consultants – scientists themselves – are ideally placed to help you define and progress your digital transformation journey.
Efforts will continue in the coming years to achieve a truly digital laboratory. However, this will not be a linear journey. Advancements are constantly emerging and the latest technology will build upon the success of others, meaning the ‘latest thing’ is always evolving. Navigating this process successfully will allow laboratories to achieve increased productivity and optimised workflows – giving scientists back more time to spend on getting results.
Advancing your digital transformation journey can be a challenge, but, if done well, can transform your lab and its results. Through a wealth of experience in this area, Scimcon can help you to identify your digital transformation goals and help make them a reality in the short, medium, and long term.
Contact us today to learn more about how we can help you with your digital transformation journey.