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HEALTHCARE & MEDICAL

Unifying Patient Records and Clinic Operations Across a Healthcare Group

Shifa Outpatient Medical Group

A comprehensive Medical Clinic Management System designed to streamline daily operations and improve patient care. The system enables efficient appointment scheduling, patient record management, billing and invoicing, and staff coordination. It also supports reporting, prescription tracking, and inventory management for medical supplies. Built with a focus on accuracy, security, and ease of use, t

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ChallengeApproach & deliveryResults & impact

01 Challenge

Challenge

Shifa Outpatient Medical Group operates four clinics across two cities, hosting 14 specialist consultants and processing over 350 patient visits daily. Despite its scale, the group ran on fragmented systems each clinic maintained its own paper-based patient files, and there was no shared record across locations. Patients visiting a second clinic had to re-register and repeat their medical history verbally. OPD queues were managed manually, causing average wait times exceeding 55 minutes. Lab results arrived by fax or phone call, and doctors had no structured way to access prior test history during consultations. Prescription writing was manual, leading to occasional dispensing errors. Management had no consolidated view of patient volumes, revenue, or clinical KPIs across sites.

02 Approach & delivery

Approach & delivery

ClickMasters deployed a centralized cloud-based Healthcare Management System accessible across all four clinic locations. A unified patient master record was established each patient received a single ID recognized at all sites, with full medical history, prescriptions, lab results, and billing records consolidated in one view. OPD queue management was implemented with token-based digital queuing displayed on screens in waiting areas. Doctors received a live dashboard showing queue length, average consultation duration, and upcoming patients' chief complaints, enabling better time management. Priority tokens were configured for pediatric and geriatric patients. The EMR module was built around specialty-specific consultation templates for each of the 14 specialists reducing documentation time while capturing structured clinical data. A diagnosis code library (ICD-10) was integrated, enabling coded clinical records for future analytics. Lab integration was completed with the group's two partner laboratories. Results were now pushed directly into the patient's digital record and flagged to the referring doctor's dashboard upon arrival eliminating fax-based delays entirely. Abnormal values were highlighted automatically. The electronic prescription engine was configured with a formulary of approved medications, dosage calculators, and drug interaction alerts. Prescriptions were printed or sent via SMS to the patient, with a copy filed in the EMR automatically. Billing was unified across all sites, with package pricing, insurance panel rates, and discount rules configured centrally. A consolidated reporting dashboard gave management real-time visibility into daily patient volumes, revenue per specialty, and top diagnostic categories. Rollout was phased over six weeks two clinics per phase with on-site trainers stationed at each location for the first two weeks of live operations.

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A senior software house building web, mobile, and AI-powered systems for ambitious teams across the USA, Europe & Middle East.

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03 Results & impact

Results & impact

Average OPD wait times fell from 55 minutes to 22 minutes within 60 days of deployment. Duplicate patient registrations were eliminated entirely, saving front-desk staff an estimated 90 minutes of reconciliation work daily. Doctor documentation time per consultation dropped by an average of 8 minutes due to specialty templates and auto-population. Lab result turnaround visibility improved: doctors now receive results within minutes of release rather than waiting for manual notification. Management gained a consolidated cross-clinic dashboard for the first time, enabling evidence-based resource allocation. Monthly revenue leakage from unbilled lab referrals was reduced by PKR 680,000 in the first quarter.

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