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Introduction: To understand the sick leave situation and the causes and effects of a temporary loss of capacity to work allows for the strengthening of policies and management in the provision of health services. Objective: To analyze sick leave in Colombia in the 2016–2018 period. Materials and methods: A retrospective cross-sectional observational study and the relative risk was calculated. Sick leave reports were provided by the Ministry of Health and Social Protection. 12,410,837 reports from formal workers between the ages of 18–70 years and had at least one temporary disability were processed. Results: The average age of people with sick leave was 37.11 years, 53% corresponding to females. On average, sick leave was 90.6% and 5.6% for dependent and independent workers, respectively. The principal causes of disability were musculoskeletal diseases and were more likely in men and adults according to RR. Men in comparison to females and adults in comparison to youths are less likely to have sick leave due to respiratory disease. Conclusions: In Colombia, females presented more temporary sick leave, even if males had more days of disability, even though the median was three days in both genders. Youth and adults had more sick leave days.

Background: Considering regulatory, supervision, and control health policy, an innovative knowledge management model is proposed for the Colombian health system, which is recognized as a complex system. Methods: A model is constructed through a comparative analysis of various theoretical and conceptual frameworks, and an original methodology is proposed based on an analysis of the macroprocesses of the Supervision and Control System (SSC) of the Colombian General Social Security System in Health (SGSSS). After formulating hypotheses and conceptual references, information errors are determined within the different macroprocesses of the SGSSS, including those of governance and the SSC. Results: The risks of generating duplicate, wrong, hidden, or non-existent information arise when the associated regulations need more specificity to be applied in all cases, thus leading to the risk of different interpretations by some actors. In this way, it is possible to hinder the generation of unified information, as there is no clarity as to who is responsible for the generation or creation of certain data. Conclusions: The proposed model is characterized by its flexibility and adaptability, integrating several processes that can be executed simultaneously or cyclically (depending on the system’s needs) and allowing for the generation and feedback of knowledge at different stages, with some processes simultaneously executed to complement each other.