Change management and workflow redesign for electronic medical record adoption in a high-volume public allergy center in Pakistan: a mixed-methods quality improvement study
This mixed-methods quality improvement study demonstrates that in a high-volume public allergy center in Pakistan, pairing a manager-led change-management framework with concurrent patient workflow redesign successfully enabled electronic medical record adoption and significantly improved operational efficiency, despite the absence of funding for advanced technical solutions.
Original paper licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer
In the world of modern healthcare, a simple idea has taken root: keeping patient records on a computer instead of paper. This shift, known as adopting an electronic medical record, promises to make care faster, safer, and better coordinated. When a doctor can instantly see a patient's history, allergies, and past treatments on a screen, mistakes drop and time is saved. However, installing the software is only half the battle. The real challenge lies in changing how people work. If a hospital tries to force a new digital system onto an old, crowded, and chaotic way of doing things, the technology often fails. It can confuse staff, slow down the day, and create more work instead of less. This is especially true in busy public clinics where resources are tight and patients arrive in large numbers. The question for health leaders is not just which software to buy, but how to guide a whole team through the difficult transition from paper to digital without breaking the flow of care.
In a high-volume public allergy center in Islamabad, Pakistan, researchers faced exactly this challenge. The National Allergy Centre is the only public facility in the country dedicated to diagnosing and treating allergies. On a typical day, it sees between 600 and 700 patients, with numbers swelling to nearly 1,000 during peak seasons. Before a recent project, the entire operation ran on paper. Patients arrived and waited in long, unorganized lines, often leaving without ever seeing a doctor. Records were frequently lost or duplicated, meaning returning patients had to be registered as new, wasting time and risking errors. Nurses and technicians spent hours each day manually typing data into computers, taking them away from their actual clinical duties. A single door served as both the entrance and exit, creating a physical bottleneck that made the crowding worse. The staff, accustomed to their paper routines, were wary of the new system, fearing it would be slower and harder to learn.
To fix this, the center did not simply install the new software and hope for the best. Instead, a manager-led team spent five months carefully planning a dual approach. They combined a structured method for managing change with a complete redesign of how patients moved through the clinic. The change-management strategy focused on the people. The team communicated a clear vision for the new system repeatedly, held regular meetings to solve problems together, and spoke one-on-one with staff to address their specific worries. They trained employees in stages, letting them practice on a test system before the real launch, and celebrated small wins to keep morale high. At the same time, they physically rearranged the clinic to remove the bottlenecks that the software alone could not fix. They built a separate door for people to leave, added a fourth registration counter, and split the cash handling from the registration process. Most importantly, they introduced a nurse-led triage room to sort patients by urgency before they saw a doctor, and they used a token system to manage the queue, replacing the chaotic crowding at the counters.
The results of this combined effort were immediate and tangible. After the new system went live, the time it took to register a new patient dropped from about 12 minutes to 8 minutes. For patients returning for follow-up, the time fell from 5 minutes to just 3 minutes. Perhaps most significantly, the total time a patient spent in the clinic, known as the length of stay, shrank from two or three hours down to under one hour. The number of patients examined each day rose from an estimated 150 to nearly 250, and the number of vaccinations given daily increased from a range of 100 to 150 up to 130 to 180. The staff reported that records were more accurate and complete, and the flow of the day felt much smoother.
The study highlights a crucial lesson for healthcare in developing countries and beyond: the biggest obstacles to digital health are often organizational and human, not technological. The software itself was not the problem; the problem was the crowded layout, the lack of a triage system, and the resistance of staff who felt unprepared. By pairing a proven framework for managing change with a practical redesign of the physical workflow, the team succeeded where a purely technical approach might have failed. They achieved these improvements even though they could not afford some of the ideal solutions, such as an online appointment system or hiring more staff, because public funding and approval processes were too slow. This experience suggests that in resource-constrained settings, success comes from leading people through change and fixing the process around them, rather than just installing new technology. The findings offer a practical roadmap for other public facilities facing similar challenges, showing that with the right leadership and workflow adjustments, digital transformation can work even in the busiest, most crowded clinics.
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