
In June 2025, Anna Kozlova developed and integrated a comprehensive Heavy Menstrual Bleeding Questionnaire feature for the beda-software/fhir-emr repository. Leveraging FHIR standards and expertise in healthcare data collection and questionnaire design, she structured YAML-based forms to capture detailed patient information across demographics, medical and surgical history, menstrual patterns, pain, and reproductive factors. Her work focused on enhancing the patient intake workflow, enabling more complete and structured data for clinical assessment and downstream analytics. The feature was delivered in a single, traceable commit, reflecting a methodical approach to backend development and data modeling, with an emphasis on clinical utility and maintainability.

June 2025 monthly summary for beda-software/fhir-emr: Delivered the Heavy Menstrual Bleeding Questionnaire feature, enabling comprehensive data capture across demographics, past medical history, menstrual history, period pain, sexual and reproductive history, family history, lifestyle, surgical history, and menopause symptoms to support improved patient assessment and care. The change is tracked in repo beda-software/fhir-emr with commit 7726c3199212befd6af52b3075a471d32022b4ae. No major bugs reported this month; focus was on delivering a clinically valuable feature and integrating it into the patient intake workflow. This work enhances data completeness for clinical decision making and downstream analytics, and demonstrates backend feature development, structured data modeling, and strong traceability.
June 2025 monthly summary for beda-software/fhir-emr: Delivered the Heavy Menstrual Bleeding Questionnaire feature, enabling comprehensive data capture across demographics, past medical history, menstrual history, period pain, sexual and reproductive history, family history, lifestyle, surgical history, and menopause symptoms to support improved patient assessment and care. The change is tracked in repo beda-software/fhir-emr with commit 7726c3199212befd6af52b3075a471d32022b4ae. No major bugs reported this month; focus was on delivering a clinically valuable feature and integrating it into the patient intake workflow. This work enhances data completeness for clinical decision making and downstream analytics, and demonstrates backend feature development, structured data modeling, and strong traceability.
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