{"id":"AIBD-1174","title":"The World Bank's Independent Evaluation Group reports that facial recognition shift logging reduced health staff absenteeism in Andhra Pradesh","summary":"The World Bank's evaluation office reports that a facial recognition system for logging health staff in and out of shifts reduced absenteeism in Andhra Pradesh and cut salary spending on absent staff.","date_observed":"2025-03-31","date_basis":"event","date_precision":"day","benefit_status":"reported","source_collection":null,"source_entry":null,"account":"The Andhra Pradesh Health Systems Strengthening Project, financed by a US$328 million World Bank loan, ran from 2019 to 31 March 2025 under the state's health department. The World Bank's Independent Evaluation Group reviewed the completion report on 5 May 2026 and rated the project's efficiency substantial. Among the design features highlighted for efficiency, the evaluators describe a new facial recognition system for health staff to log in and out of each work shift. They write that it reduced absenteeism and led to cost reductions associated with paying salaries to absentee staff. They restate the completion report's lesson that digitized staff attendance systems can reduce absenteeism and improve workforce accountability. The Bank's own completion report of 30 October 2025 says that the system includes geo-location and shows where each person is during the shift. It adds that the system has reduced absenteeism to a negligible level. The attribution comes from the Bank team's analysis, which the evaluators present without a figure for absenteeism before or after. Neither document names the system or its supplier.","category":"aggregate result","unexpected":false,"purpose":"An unnamed supplier built the facial recognition system for the Andhra Pradesh health department so that staff log in and out of each shift, to reduce absenteeism and the salary cost of absent staff.","system":"Facial recognition attendance system with geo-location for health staff in Andhra Pradesh's public health facilities (not named in the review)","model_version":null,"developer":"Not named in the review","deployer":"Andhra Pradesh Department of Health and Family Welfare (DoHFW)","location":"Andhra Pradesh, India","domain":"Healthcare (workforce management)","segment":null,"benefit_type":"Improved Organizational Efficiency","work_activities":["4.A.1.b.1","4.A.3.b.6","4.A.4.c.3"],"taxonomy_note":null,"registry_ids":{},"ratings":[{"group":"organizational","depth":2,"reason":"The evaluators report reduced absenteeism and lower salary spending on absent staff across the state's health workforce, and the Bank's report puts absenteeism at a negligible level, but neither gives a before and after figure."}],"ai_role":{"status":"unassessed","statement":"The evaluators credit the facial recognition system with reduced absenteeism and salary savings, relaying the Bank team's efficiency analysis. Neither document gives absenteeism figures, separates the system from the zero-vacancy policy and other staffing measures or describes the recognition model. Neither shows that the system learns from data."},"evidence":[{"kind":"descriptive report","citation":"World Bank Independent Evaluation Group. Implementation Completion Report (ICR) Review: Andhra Pradesh Health Systems Strengthening Project (P167581), ICRR0024843, 5 May 2026. On this point the review restates the Bank's completion report.","title":"Implementation Completion Report (ICR) Review: Andhra Pradesh Health Systems Strengthening Project (P167581)","url":"https://documents.worldbank.org/curated/en/099050526083524151/pdf/P167581-a2e0508c-ccc8-4cd3-903b-826484512dc2.pdf","date":"2026-05-05","written_by":"independent","quote":"a new facial recognition system for health staff to log in and out of each work shift, which reduced absenteeism and led to cost reductions associated with paying salaries to absentee staff"},{"kind":"report","citation":"World Bank. Implementation Completion and Results Report: Andhra Pradesh Health Systems Strengthening Project (P167581). ICR00457, 30 October 2025. The Bank's own completion report, which the Independent Evaluation Group reviewed.","title":"Implementation Completion and Results Report: Andhra Pradesh Health Systems Strengthening Project (P167581)","url":"https://documents.worldbank.org/curated/en/099120325082023222/pdf/BOSIB-395a914d-1150-4ae4-9178-83ff3672e7a8.pdf","date":"2025-10-30","written_by":"evaluator","quote":"The new facial recognition system for health personnel to log in/out at the start and end of each shift that includes geo-location and shows where each person is at all times during their shift, has reduced absenteeism to a negligible level."},{"kind":"regulatory document","citation":"MediaNama (relaying The Times of India's report of a National Medical Commission finding) (2024). Andhra Pradesh medical colleges to switch from facial recognition to biometric attendance, Article body, paragraphs 1 and 4.","title":"Andhra Pradesh medical colleges to switch from facial recognition to biometric attendance","url":"https://www.medianama.com/2024/01/223-andhra-medical-colleges-attendance-frt-biometrics/","date":null,"written_by":"independent","quote":"Under the facial recognition attendance system, the NMC found some doctors would leave the college premises after marking their attendance through their mobile to attend to their private practice.","supports_benefit":false}],"replication":{"produced_by":["Health staff logged in and out of each shift through a facial recognition system with geo-location.","The state pursued a zero-vacancy policy supported by digitized attendance systems."],"must_hold":["Facilities must have devices and connectivity for the recognition system at every shift.","Managers must act on the attendance records, for example by withholding pay for absences."],"echoes":[]},"paired_incident":null,"headline":"Face recognition log-ins cut health staff absences in Andhra Pradesh","metric":null,"comparator":null,"later":null,"benefit_dimensions":["economic","functional"],"benefit_categories":["operational_improvement"],"scsp_example":"Enhanced productivity","size":{"reach":{"band":1,"fact":"The benefit went to one organization, Andhra Pradesh's health department, which paid less salary to absent staff.","quote":"a new facial recognition system for health staff to log in and out of each work shift, which reduced absenteeism and led to cost reductions associated with paying salaries to absentee staff","url":"https://documents.worldbank.org/curated/en/099050526083524151/pdf/P167581-a2e0508c-ccc8-4cd3-903b-826484512dc2.pdf","reason":null},"duration":{"band":null,"fact":null,"quote":null,"url":null,"reason":"The reports do not say when the system started or how long the lower absenteeism has lasted."},"distribution":{"band":null,"fact":null,"quote":null,"url":null,"reason":"The benefit went to one department, and no groups are compared."},"frequency":{"band":5,"fact":"The system logs each health worker in and out at every shift, so it works each working day.","quote":"The new facial recognition system for health personnel to log in/out at the start and end of each shift that includes geo-location and shows where each person is at all times during their shift, has reduced absenteeism to a negligible level.","url":"https://documents.worldbank.org/curated/en/099120325082023222/pdf/BOSIB-395a914d-1150-4ae4-9178-83ff3672e7a8.pdf","reason":null}},"value":null,"developer_country":null,"deployer_country":"India","unrated_because":null,"brief_notes":null,"brief":null,"revisions":[{"date":"2026-11-01","change":"Added the record from the report of the World Bank Independent Evaluation Group.","source":"https://documents.worldbank.org/curated/en/099050526083524151/pdf/P167581-a2e0508c-ccc8-4cd3-903b-826484512dc2.pdf","editor":"AIBD"},{"date":"2026-11-01","change":"Added an independent regulatory document that questions the benefit.","source":null,"editor":"AIBD"},{"date":"2026-11-01","change":"Placed the benefit under its broad categories and recorded its reach, duration, distribution and frequency from its sources.","source":null,"editor":"AIBD"}],"confidence":"reported","shade":"medium","claim_status":"Independently reported","claim_basis":"Sources: one independent regulatory document, one independent descriptive report and the evaluators' report. 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