This competitive healthcare market has made labour planning and allocation vital to the success of today's hospitals. Nurses' real usage is plagued by inefficiencies and cost overruns because even sophisticated automated planning systems for nursing labour cannot account for the dynamic needs of patient care during and between shifts. Typical labour measures increase the situation, as we've discovered. Iterating through many objects with practitioners in situ, we adopt an extended action design science research (eADR) strategy. When it comes to filling important nursing and support tasks in real time, we find that understanding the behaviours of complex adaptive systems is vital. We utilise this information to identify management procedures that clash and obstruct the efficient operation of feedback loops for system balance. For real-time nurse labour planning and allocation, we used an electronic ADR strategy that included co-design, co-evaluation, and co-implementation of new structures, roles, and responsibilities. Patient outcomes may be greatly improved by using this novel artefact, which takes use of the dynamic actions of the actors.