The County Government of Uasin Gishu, in collaboration with Moi University’s Africa Health Collaborative Project and the Mastercard Foundation, on Thursday undertook a benchmarking mission to Nandi County to study its successful digitization of health services under the Taifa Care Program.
The delegation, led by Uasin Gishu Director for Medical Services, Dr. Evans Kiprotich, and Ms. Jacky Sitienei from Moi University, paid a courtesy call on Nandi County Health Executive, Dr. Angeline Jepchirchir, before visiting Kabiyet Sub-County Hospital — a flagship facility in the digital health revolution.
At Kabiyet, the team was taken through the end-to-end digitized patient journey — from triage to the laboratory, pharmacy, maternity ward, and inpatient services.
The hospital showcased its fully integrated, paperless system, which has significantly improved both efficiency and accountability in service delivery.
Dr. Kiprotich commended Nandi’s progress, stressing that the visit was timely as Uasin Gishu prepares to roll out the Taifa Care system in its own health facilities.
“Digitizing healthcare is no longer a luxury but a necessity. We are committed to learning from Nandi’s success to ensure that our rollout is seamless and impactful,” he said.
Echoing this, Dr. Jepchirchir highlighted the transformative power of the system in tracking medical commodities and enhancing service delivery across the county.
“We can now track every drug, every test, and every patient interaction in real time. This has dramatically improved our ability to serve residents effectively and transparently,” she stated.
The benchmarking visit underscores the growing spirit of inter-county collaboration aimed at modernizing healthcare infrastructure and delivering citizen-centered services through digital innovation — a vision strongly supported by development partners like the Mastercard Foundation.
As more counties embrace technology to bridge gaps in healthcare access and quality, Taifa Care’s digitization success is fast emerging as a national model for paperless health systems.
