From Free Text To Real World Evidence Standardizing Voice Care Data In ENT Clinics (APD Voice)
09-09, 14:30–15:00 (Europe/Istanbul), Phoniatrics 2 (ICC - B3 Floor - 3B/29)

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This course introduces a practical framework for transforming routine ENT–phoniatric documentation from unstructured free text into standardized, analyzable, and research-ready clinical data. Using APDVoice as a working model, participants will explore how information from patient history, perceptual and acoustic voice assessment, laryngeal endoscopy and stroboscopy, diagnosis, treatment, and longitudinal follow-up can be organized into a structured clinical dataset. Particular emphasis will be placed on the concept of a Minimum Voice Dataset, standardized terminology, outcome tracking, and the use of routinely collected clinical data as real-world evidence. The course will also discuss how structured datasets can support multicenter research, quality improvement, clinical decision support, and future artificial intelligence applications in laryngology and phoniatrics.

Outcome Objectives:

By the end of this course, participants will be able to:

  • Explain the limitations of free-text documentation for clinical research, outcome analysis, and multicenter data sharing.

  • Identify the core components of a standardized dataset for patients with voice disorders.

  • Understand how routine clinical documentation can be converted into structured real-world evidence.

  • Apply principles of standardized terminology and longitudinal outcome tracking in everyday voice-care practice.

  • Recognize the role of high-quality structured data as the foundation for future AI-supported clinical tools and precision phoniatrics.

  • Evaluate practical challenges and opportunities involved in implementing structured data systems within ENT clinics.

Background

Voice-care clinics generate large volumes of clinically valuable information every day; however, much of this information remains stored as heterogeneous narrative text, making systematic analysis and comparison difficult. The lack of standardized clinical datasets limits outcome assessment, multicenter collaboration, and the development of reliable artificial intelligence tools.

APDVoice was developed to address this gap by structuring routine ENT–phoniatric data around standardized clinical variables and longitudinal patient outcomes. The central concept of this course is that meaningful digital transformation and clinically useful AI must begin not with algorithms, but with consistent, high-quality, clinically relevant data. Standardizing voice-care documentation therefore represents an essential step toward real-world evidence generation, collaborative research, and data-driven precision care in phoniatrics and laryngology.

The purpose of this proposal is to demonstrate how routine voice-care documentation can be transformed into standardized, structured, and research-ready clinical data. Using APDVoice as a practical model, the course aims to promote harmonized data collection, real-world evidence generation, multicenter collaboration, and the development of AI-ready infrastructure for future precision phoniatrics and laryngology.

Session Chair Session Chair
Kristel Kalling
Speaker Speaker
Ramil Hashimli
Ramil Hashimli

I am Dr. Ramil Hashimli, MD, PhD, Assoc. Prof., an otorhinolaryngologist, phoniatrician, laryngeal surgeon, and academic physician with over 25 years of clinical experience. My professional focus lies in voice disorders, phoniatrics, laryngology, and outcomes-oriented clinical research, with a particular interest in bridging clinical practice, structured data, and artificial intelligence.

I currently serve as Vice-President of the Central and West Asian Association of Otorhinolaryngology and Head & Neck Surgery (CWASOS) and as a member of the Extended Board of the Union of European Phoniatricians (UEP). Over the years, I have also served as Chair, Secretary, and member of the organizing and scientific committees of several national and international congresses and educational events.

A major part of my professional mission is to strengthen communication and scientific collaboration among otorhinolaryngologists across Central and West Asia. I am particularly committed to supporting the development of phoniatrics and laryngology in the region, creating opportunities for knowledge exchange, and contributing to the training and professional growth of young physicians through educational programs, workshops, congresses, and international collaboration.

I am actively involved in the ongoing initiative supporting Baku as the host city for the UEP Congress 2029 and serve as Chair of the local working group coordinating preparations for this major international meeting.

In addition to my clinical and scientific activities, I am deeply committed to medical and interdisciplinary education. I introduced and currently teach Vocology as an academic discipline in Azerbaijan, bringing together voice science, vocal physiology, clinical phoniatrics, and the needs of professional voice users.

I am also the founder and developer of APDVoice, an AI-oriented structured data and analytics platform designed to transform routine ENT–phoniatric documentation into standardized real-world evidence suitable for multicenter research, outcomes analysis, and future artificial intelligence applications.

My current academic interests include digital transformation in voice care, structured clinical datasets, precision phoniatrics, professional voice, laryngeal biomechanics, and the development of AI-ready clinical infrastructure. Alongside clinical practice, I remain actively engaged in undergraduate and postgraduate education, international scientific collaboration, and initiatives aimed at strengthening phoniatrics, laryngology, and professional exchange both regionally and globally.

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Kristel Kalling
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