February 2026 results recap for andes/api and andes/app focused on delivering business value through targeted features, data accuracy fixes, and reliability improvements. The work emphasizes user-centric improvements, regulatory compliance, and calendar/scheduling reliability with measurable impact on operational effectiveness.

January 2026 (Month: 2026-01) focused on enhancing teleconsultation workflow in the andes/api service by removing the teleconsultation filter from the agenda search, expanding the set of retrievable appointments. This change aligns with product goals to improve access to teleconsultations and streamline clinician scheduling. Work is tracked under issue #2181 and committed as f5c8da18e4fb228939c838be797207b51fbf1b43. No other major bugs reported this month; changes followed standard code review and CI processes. Overall, delivered tangible business value by improving discovery of teleconsultations, reducing manual filtering, and accelerating appointment matching.

Monthly summary for 2025-12: Delivered significant improvements in observability, data traceability, and reporting across core services. Implemented appointment scheduling observability and history tracking in the matriculation workflow, enhanced professional reporting with renewal fields, and improved patient dashboard visibility of release actions. Also addressed data quality by fixing birth date loading format to ensure consistency across MPI pipelines. These efforts yielded better operational visibility, faster debugging, more accurate compliance reporting, and a cleaner data model for professional registrations and patient records.

November 2025 focused on delivering robust, user-centric features and stability improvements across the andes/api and andes/app repositories. Key features include section-based PDF fichas generation, token-type based lab protocol visibility, robust CDA <-> JSON parsing and LoadCDA error handling, and enhanced request date logic. A UX simplification removed an external link in the SNOMED directive to streamline navigation. Major bug fixes enhance data integrity and reliability of document rendering, data exchange, and request processing, driving better downstream business outcomes. Overall, these efforts improve document accuracy, user relevance, and operational efficiency across clinical data workflows.

October 2025 (2025-10): Delivered cross-repo enhancements in andes/api and andes/app that improve data visibility, scheduling reliability, and user experience. Implemented a new Bed Occupancy Viewing Permission at the API layer to enforce access control for provincial bed occupancy data. Refactored appointment scheduling to accurately display and allow selection of health insurance details (including affiliate numbers) and to correctly handle SUMAR and other insurance types; included correction for initial data of manual death registration. Implemented automatic default assignment of the sole available 'tipo de prestacion' in dynamic scheduling to prevent misconfigurations. These changes collectively improve data security, reduce manual steps for clinicians, and enhance scheduling reliability across common clinical workflows.

September 2025 performance summary for andes repositories (andes/api andes/app). Focused on reliability, data integrity, and performance improvements across lab workflows, funding data handling, patient data processing, and admissions UX. Achievements are tied to concrete commits and address business risk areas such as failed lab downloads, duplicate funders, latency in patient data retrieval, and prescription accuracy. The work improved system reliability, data quality, and user experience with measurable backend and frontend enhancements.

August 2025 focused on enhancing data integrity, observability, and reliability across andes/app and andes/api. Delivered improvements that strengthen data quality and tracing, enabling safer patient data handling and faster debugging. Key outcomes include a new logging and observability layer for PACS operations, improved HUDS data integrity by filtering invalid relationships, and reinforced patient data update integrity for hospitalized patients. Technical highlights include a dedicated PACS logger integrated into syncWorkList with success and error events (including patient and prestacion data), a minor conditional fix in prestacion.ts, and robust validation to prevent broken relationships from surfacing in HUDS. These changes collectively reduce risk, improve auditability, and provide clearer operational insight for faster issue resolution.

July 2025 monthly summary focusing on key accomplishments across andes/app and andes/api, emphasizing business value, data integrity, and user-facing improvements.

Month: 2025-06 Key features delivered: - RecetaService Integration in PrestacionEjecucionComponent: Introduced RecetaService into PrestacionEjecucionComponent to enable recipe-related functionalities for RUP prestations via dependency injection, ensuring consistent access to recipe data across the execution path. - Improve prescription diagnostic filtering and prescription type UI: Refactored diagnostic loading to use evolution date instead of execution date; adjusted handling of duplicated/triplicated prescription types; replaced radio buttons with boolean toggles to enhance UI clarity and diagnostic accuracy. Major bugs fixed: - Fixed integration issue for RecetaService in the RUP execution flow, ensuring the service is properly wired and available at runtime (commit dee510c46ca47b36bcd267d1c217a6cbd7428225). Overall impact and accomplishments: - Enables end-to-end recipe management for RUP prestations, reducing manual data wiring and enabling more reliable workflows. - Improves diagnostic accuracy and prescription management, leading to better clinician efficiency and patient safety. - UI and data handling improvements contribute to smoother user experiences and maintainability. Technologies/skills demonstrated: - Dependency injection patterns and service integration across components. - Refactoring of data loading logic and UI controls to improve accuracy and usability. - Clear traceability to commits and Git-based collaboration for RUP-related features.

May 2025: Delivered key enhancements in prescription data access (RUP), added Laboratory Reports tab in Execution view, and extended SNOMED data capabilities via a new API endpoint. All changes focused on improving data accuracy, UX in clinical workflows, and enabling richer clinical analytics.

Monthly work summary for April 2025 focusing on key accomplishments, business value and technical achievements across andes/api and andes/app. Highlights include delivery of ECL Query API Endpoints and integration of ECLQueriesService for prescription data retrieval, aligned with RUP processes. Impact includes improved data retrieval flexibility, better search capabilities, and maintainability.

March 2025 monthly summary for andes/api: Delivered a user-facing enhancement to pharmacy search by adding a disposicionHabilitacion filter to the farmacia resource routes, improving data accessibility and usability for pharmacy data. Implemented a focused fix to support search by Nro de disposición with commit 92ffb1c6c3f8df26571498b1cbf9772581cd4063, contributing to more reliable search results. Overall, these changes enhance data discoverability, support faster decision-making for pharmacy workflows, and lay groundwork for additional advanced filters.

January 2025 was focused on delivering data accuracy, improving visualization pipelines, and simplifying data handling to improve reliability and maintainability across the API and UI layers.

In December 2024, delivered end-to-end enhancements across andes/api and andes/app to strengthen epidemiological data handling, SNOMED integration, and UI/data quality. These changes improved export accuracy for SNVS-based reporting, enhanced request-to-diagnosis linkage, and streamlined user workflows for ventanilla operations, delivering measurable business value in data integrity and operational efficiency.

November 2024 monthly summary for andes/app. Key focus: UI refinement for laboratory results, stability enhancements in patient data access, and improved error reporting boundaries to reduce noise and crashes. Deliveries were scoped to a single repository with measurable impact on readability, stability, and operator efficiency.