Hanf, Nicole K.

Strategic projects in large healthcare organisations are often highly complex and dynamic, and they require a team of skilled business professionals to execute them. Examples of difficult, costly and extended project executions have been shared in the literature. Successful project execution involves many critical facets. One facet that continues to be of marked interest is effective resourcing of strategic projects. This paper focuses on describing a staffing approach used at Mayo Clinic (Rochester, Minnesota) to facilitate successful, agile and sustainable execution, with desired outcomes. In 2016, Management Engineering & Consulting (ME&C) began exploring a collaborative staffing model that partnered management engineers with project managers (PMs) to drive strategic, multisite projects. This ongoing collaboration model was evaluated from multiple perspectives, including project outcomes, timeliness, client and staff satisfaction and opportunities for innovation. Data and feedback on the model were collected with historical reports, surveys and focus groups with stakeholders, leaders, PMs and management engineers. The feedback and data indicated that the collaborative staffing strategy and model have further optimised service delivery, enabled professional staff to work at the highest level of their competency and dynamically blended knowledge, expertise and skills to achieve better and more sustainable overall project outcomes.

In 2018, Mayo Clinic completed the largest transformational project in its 150-year history. Mayo Clinic was prepared to take on the implementation of new software systems (Epic Systems Corp) as an integrated electronic health record (EHR) and revenue cycle management (RCM) system across all sites of the enterprise. Three foundational teams were launched for this project: leadership, project management and change management. In a project such as this, a common pitfall is to focus completely on the system and lose sight of the end users. For Mayo Clinic, the people side of change was at the forefront of the project. A robust change management team was budgeted, staffed and engaged with an experienced outside consulting partner. A goal for the change management team centred on the best way to measure the change management impact and the degree to which it was making a positive contribution in driving successful adoption of the new EHR and RCM system. With literature lacking in this area, the team moved forward with courage and quickly learned that the easy part was the development of a survey with questions mapped to the six components of the change management strategy and the phases of the awareness, desire, knowledge, ability, reinforcement (ADKAR) Model (Prosci Inc). The hard part was building the infrastructure to visually display millions of rows of data that needed to be positioned, filtered and analysed for all affected locations. The authors share the methods to measure change and explain the importance of developing a comprehensive and robust means of gathering and displaying large volumes of change management data at the project onset. This paper prepares the reader to confidently develop an organisational framework to measure and report the effectiveness of a change management strategy.