I've been noodling about an effective way to bring heightened awareness to a typical event in the transition from implementation to ongoing. I'm thinking about that point in time six to eight weeks after an enterprise go-live when the risk of decay in data quality and integrated process sustainability begins and the transformation can begin the long stallout. It often happens because the technical team and extended implementation resources either move on to the next client and project or disband completely. Attention of the front line operational support team shifts to the work left undone in the buildup to the implementation event. Without a clear plan to avoid predictable behavior, sustained end user attention on what they are doing and why begins to taper off and opportunities for continuous improvements are lost.
My observation has been that data quality and process adherence usually continues an invisible decay until the organization reaches the next milestone. That milestone occurs when data are made available for first hand review by stakeholders who spot data gaps or the results of workarounds. The stallout ends because these stakeholders have a vested interest in identifying problems and driving corrections.
Who are these stakeholders?
- Leaders who make collaborative decisions based on the aggregated data and the need to have an accurate single source of truth.
- Consumers who own the data and spot errors because the information is familiar and personal.
Three phases come to mind to describe how data visibility gets things moving again:
"What gets measured, moves"
"If it is all about me, it better be right."
"Pay me now or pay me later."
In many instances, getting data to these stakeholders doesn't happen early enough in the post go-live time frame to avoid the stallout trap. Lots of reasons for this but I think one of the biggest is it requires a lot of foresight and funding in planning the post go-live phase to include parallel data warehouse development and end user self-service access months ahead of when the input data are defined and available from the production system.
Can it be done? Sure.
Should it be done? Definitely.
But for many large initiatives, the priorities are to configure the user interface needed for data entry, physical and technical infrastructure and behavior change levers. Building a data warehouse model, analytic tool training for leaders or self-service access by customers will unfortunately take a back seat. Often defined as a phase two activity, data warehouses and self-service access might even be delayed if the first phase hits a snag. An alternative solution is required for the immediate post go-live period to mediate the decay problem and maximize transformation.
One solution is to immediately transition the implementation operational front line support group to ongoing support group responsibilities. This front line support group goes by many names: liaisons, super users, at the elbow support, community of practice, local designees, local experts, coaches or simply department go to people. The key is to have a clear vision and an executable plan for how this group will navigate the phases of the timeline and encourage end user efforts leading to increased teamwork, accurate data and better decisions. It won't be a complete substitute for getting data into the hands of stakeholders but it is something that will need to be done anyway so it makes sense to build this community proactively, not reactively when problems in data or process define the need. Since it means planning with the visible (people), and not invisible (data), it can be easier to formulate this plan ahead of time assuming organizational politics can be navigated successfully.
The slides below are a vision of how to work within a frame of high tech, high touch, low cost, high quality (HT2/LCHQ) to avoid the decay that typically begins at the six to eight week post go-live mark. The idea is to leverage collaborative technologies to get the high tech and low cost component. This creates a context for success within the scope of a healthcare industry reality: the front line end user support role resides with a knowledge worker who maintains a high utilization rate with limited time for non-clinical skill development and knowledge exchange with peers. The focus on continuing the transformation through key front line people who provide the end user point of need support creates the high touch and high quality components
These slides are a first pass at reducing this noodling to a couple of one pagers. From here on, the devil is on the details of execution.


