HCS 370 Week 5 Leading Organizational Change Example

When a Robot Joins the Clean Room: Leading a Hospital Pharmacy Through the Change to Automated IV Compounding

[Student Name]

University of Phoenix

HCS/370: Organizational Behavior

Week 5 Assignment

[Instructor Name]

[Date]

The hospital, the pharmacy department and the automation project are composites written for a model paper; change models come from the sources listed.

The composite hospital pharmacy department prepares about 1,100 IV doses a day. Most are routine: standard antibiotics, electrolyte bags and syringes for the intensive care unit. The hospital has approved a compounding robot that will prepare many of these batch doses, using barcode and weight checks at each step. Technicians heard about it through a rumor before any announcement. This paper plans how to lead the department through the change.

The Change

Within a year, the robot will prepare about 40% of IV doses. Technicians will still prepare patient-specific and complex doses, load and supervise the robot and handle exceptions. Pharmacists will verify the robot's work through its records.

Forces for Change

Safety: automated weight checks catch errors that visual checks can miss. Drug shortages: the robot can use vials efficiently. Workload: the department is short of technicians. Consistency: batch doses will be prepared the same way every time.

Forces Against Change

Fear of job loss among technicians. Distrust of the machine among some pharmacists. The cost, $1.2 million, which some leaders think could fund staff instead. The disruption of installation in a clean room that cannot close.

Lewin's Model

Lewin (1947) described change as moving a group from one quasi-stationary equilibrium to another, and his work is often summarized as three steps: unfreezing the current situation, moving to a new level and refreezing so the new behavior holds. The plan follows these phases.

Why Transformations Fail

Kotter (1995) identified errors that doom change efforts, among them too little urgency, a weak guiding coalition, a vision communicated too rarely, obstacles left standing, no early wins, celebrating before the work is finished and changes never rooted in the culture. Each phase of the plan guards against these errors.

Unfreezing

The director will share the department's own data: two dosing errors last year that reached patients, rising overtime and doses delayed by shortages. The message is not that technicians are failing but that the current system asks too much of them. A guiding coalition, including two respected senior technicians, a pharmacist skeptic, the IV room supervisor and the director, will shape the plan.

Addressing the Fear Directly

The biggest restraining force is fear of job loss. The hospital has committed that no technician will lose a job because of the robot; reductions will come only through attrition, which, with current turnover, will not be needed. Saying this plainly and in writing, before anything else, removes the fear that would otherwise turn every later message into a threat.

New Roles

Technicians will be trained as robot operators, a new step on the career ladder with a pay differential. Those who prefer manual compounding will focus on complex patient-specific doses, which require more skill.

Moving: Implementation

Installation in phases so the clean room keeps running. Training for all technicians in the robot's operation. A pilot with three dose types for six weeks, then expansion. The senior technicians on the coalition will be the first operators and trainers.

Short-Term Wins

The pilot will track errors caught by the robot's checks and minutes saved. Early results will be shared at huddles, with credit to the operators.

Communication Plan

Announcement by the director in person at all three shift meetings, followed by a written summary with the job security commitment. Monthly updates at huddles. A question box and open sessions with the vendor. Messages to nursing leaders about any changes in dose delivery times.

Resistance as Information

The pharmacist skeptic raised a real concern: what happens when the robot fails at 2 a.m.? The plan now includes a downtime procedure and cross-training so manual preparation can resume at once. Resistance improved the plan.

Connecting to Culture

The department's culture work matters here, because the assumptions a group has learned decide how it reads any new tool (Schein, 1990). A team that trusts leaders and feels safe speaking up will report robot problems instead of working around them.

Refreezing

New procedures replace old ones in policy. Robot operation is added to competency checks and performance reviews. Operators are recognized at the annual department meeting. Old manual batch processes are retired.

Involving Technicians in Design

Technicians will help decide which doses the robot prepares first, how exception doses are flagged and where the robot sits in the clean room. People support what they help create, and the technicians know the workflow's weak points better than the vendor. Two technicians will visit a hospital already using the same robot and report back to their peers.

Supporting People Through the Transition

Change creates stress even when it is welcome. Supervisors will check in individually with each technician during the first month of operation, and the department will add a temporary extra technician on each day shift during the pilot so no one is learning the robot while short-staffed.

Measures

Doses prepared by the robot, target 40% within a year. Compounding errors caught and reaching patients. Technician overtime. Technician satisfaction and turnover. Robot downtime and recovery time.

Budget and Resources

The robot's $1.2 million cost includes installation and a first year of service. The plan adds about $60,000 for training time, the temporary extra technician and the operator pay differential. Leaders who questioned the purchase will receive a one-year report comparing overtime savings, reduced vial waste and error trends against these costs.

What Could Go Wrong

If the robot underperforms, technicians may conclude that leaders chose a machine over them. The coalition will report problems honestly rather than defending the purchase, and the downtime procedure ensures patients are never waiting on a machine.

Avoiding Victory Too Soon

The director will not declare success at go-live. Measures will be reviewed at six and twelve months, and the coalition will stay together for a year.

Conclusion

Automation could have been announced as a cost-saving machine and met with fear. Led through unfreezing, moving and refreezing, with job security guaranteed, new roles created, resistance heard and early wins shared, the change becomes one technicians help shape and own.

References

Kotter, J. P. (1995). Leading change: Why transformation efforts fail. Harvard Business Review, 73(2), 59-67.

Lewin, K. (1947). Frontiers in group dynamics: Concept, method and reality in social science; social equilibria and social change. Human Relations, 1(1), 5-41. https://doi.org/10.1177/001872674700100103

Schein, E. H. (1990). Organizational culture. American Psychologist, 45(2), 109-119. https://doi.org/10.1037/0003-066X.45.2.109