An interdisciplinary team consisting of an epidemiologist, a data manager, a number of data entry clerks and patient tracker(s) working closely with a clinical team can make the right measurements be more efficient. Identifying representative clinics, enumerating the clinic-based cohorts, selecting the key predictor variables relevant to local settings, abstracting and entering key information into an Electronic Medical Record System (EMRS) and finally, sampling-based outcomes in the community can be automated, standardized and deployed to make a clinic-based cohort epidemiologically understood. See Annex 2: STATA Code for Sampling and Analysis.

Open source EMRS such as OpenMRS can be downloaded with an internet connection to store data. The clinic staff should then be trained in the use of open source EMRS. If the data collection form is not on a mobile computer tablet, data entry requires 1 data entry clerk per 500 visits per week. Therefore, if a clinic has been open for two years and 3000 patients have made 10,000 visits, one data entry clerk will require 20 weeks, but a team of 10 data clerks will require only two weeks to enter the data.