Dedicated and detail-oriented Medical Virtual Assistant with 2 years of experience in remote medical scribing who is seeking a part-time position. Proven ability to work efficiently and effectively in fast-paced environments. EXPERIENCES • Medical Virtual Assistant, Harmony Animal Hospital (January 2025 – Present) • Provided comprehensive administrative support to veterinarians and technicians onsite by managing patient records, entering billing charges, printing medication instructions, and preparing e-prescriptions via Vetter/DaySmart for each patient visit. • Maintained 10-15 patients’ charts daily by inputting information on present and past medical history, symptoms, medication regimen, physical examination, diagnosis, and treatment plan creating a detailed healthcare summary that contributes to enhanced clinical decision-making. • Assisted in preparing estimates for procedures and communicating it to clients via email. • Produced targeted performance reports to provide insights into workforce efficiency and provider productivity • Maintained strict compliance with HIPAA regulations to protect patient confidentiality. • Medical Virtual Assistant, Knight Neurology (June 2024 – January 2025) • Listened to audio recordings and transcribe patient records for about 15 to 20 patients daily • Demonstrated knowledge and ability to assign ICD-10, CPT, and HCPCS codes to the highest specificity ensuring that diagnostic codes and documentation accurately reflect and support the visit encounter. • Ensured accuracy of patient medical history charts and made necessary chart changes via DrChrono. • Collected confidential patient information from Electronic Health Records and update client records • Utilized medical reference materials available online to research and clarify medical terms, conditions, and procedures. • Virtual Assistant, DeepScribe (October 2022 – October 2023) • Accurately labeling and annotating data in accordance with established standards and specifications, offering consistent and high-quality annotations for data analysis and machine learning applications • Maintaining data integrity and dependability by carrying out comprehensive quality checks and validations on annotated data to find and fix any mistakes or inconsistencies