Since participants often relate things out of sequence, or intersperse them with other thoughts, MAXQDA is very useful in stringing sequences together throughout the text of an interview.įigure 5. In addition to other coding, the team codes these activity steps in MAXQDA in order to identify and sequence the steps. During the interviews, participants typically discuss a wide range of perceived risks, issues, situations, and opportunities, and often relate step-by-step work activities.
#Review coded sections maxqda code
Perhaps not an obvious feature of MAXQDA, but important to initial discovery of a process model, is the ability to code specific text components as being steps in a workflow sequence.
From the point of view of the tools, any sequence of activities can be mined to generate a process model. The team uses specialized process-mining tools including ProM and Disco to infer process models from transactional data. The stakeholders identified through analysis of the workflow maps are interviewed to understand what risks, issues, situations, and opportunities they perceive, as well as to identify additional roles and stakeholders to be interviewed. While the workflow maps are often more aspirational than good depictions of reality on the ground, they are a useful starting point to identify stakeholders and roles. These workflow maps are representations of should-be business processes and often handcrafted during workshop sessions involving management, subject matter experts (SME), users, and other stakeholders. In a typical engagement, the team collects the existing workflow maps from the sponsoring management team. 1 Section of codes from the corpus Using MAXQDA for Process Discovery The corpus includes categorization of stages of application or process implementation, a measurement framework, and a healthcare category structure embedded in a SharePoint Knowledgebase.įig. The synthesis establishes alignment with a core code system using MAXQDA. Methodologically speaking, the team leans towards critical realism, and tries to balance the lived experience and voice of the user with the need of management to understand the risks, issues, situations, and opportunities related to organizational goals.Īs described in a previous blog on using MAXQDA for knowledge management, the team carries out a literature review and synthesis with an existing code corpus prior to site visits or interviews. The team utilizes mixed methods to examine existing records, interview stakeholders, and synthesize lessons and recommendations. The healthcare system comprises over 1,700 care locations that range from small rural clinics to large tertiary academic hospitals. Our team works as an external facilitator of lessons learned for a large US healthcare system. Qualitative Analysis Team and Methodology These insights are often used as part of health systems engineering quality improvement programs that reduce waste and variance. The lessons learned approach involves using the experiences of clinicians, administrative staff, and management to identify reusable lessons that can assist in replicating good ideas and avoiding previously encountered pitfalls. One KM method that has proven to be very effective in the healthcare environment is the experience-based “lessons learned” approach. Knowledge management (KM) includes methods to increase organizational learning and process improvement.
Action-oriented research into healthcare processes is an urgent and critical area in which qualitative data analysis methods and tools can play an important and foundational role. Improving the identification of processes and the reduction of variance can translate into significant reduction of morbidity and mortality, and improvement in critical metrics such as quality adjusted life years (QALY) in the patient population. Two contributing factors are a high degree of process variance from unit to unit, and difficulties in identifying the variances. Many of these avoidable deaths are due to ineffective and inefficient processes, and handoffs between activities and processes. By one estimate, the healthcare industry kills over 400,000 patients a year through avoidable medical mistakes in the USA alone.