Identification of Expertise Roles and Skill Sets Required for Careers in Health Information Management

Yıl 2023, Cilt: 12 Sayı: 2, 377 - 385, 18.06.2023

Fatih Gürcan

https://doi.org/10.37989/gumussagbil.1284009

Öz

This study aims to investigate the competency areas and skill sets demanded on the job market for health information management (HIM), which plays a vital role in sustaining and enhancing the quality and efficacy of health services. In accordance with this objective, a semantic content analysis was performed on online HIM job postings using a quantitative method based on text mining and probabilistic topic modeling to identify the expertise roles and skill sets as semantic topics. Our findings revealed ten expertise roles and twenty-four skills that represent a broad spectrum of HIM professions’ competency requirements. “Specialist” (17.57%), “Director” (17.05%), “Manager” (13.18%), “Coder” (12.40%), and “Technician” (11.11%) are the top five expertise roles for HIM. A competency taxonomy was developed for HIM professions based on the knowledge and skills revealed by 24 topics using topic modeling analysis. The HIM competencies were categorized as “Medical Knowledge” (39.92%), “Management Skills” (29.80%), “IT Skills” (16.09%), and “Soft Skills” (14.18%). Our findings may have significant implications for HIM candidates and professionals, healthcare industries, and academic institutions in their efforts to comprehend, evaluate, and develop the necessary competencies and skills for HIM careers.

Anahtar Kelimeler

Health Information Management, Competencies and Skills, Human Resources Management, Machine Learning, Topic Modeling

Sağlık Bilgi Yönetiminde Kariyer İçin Gerekli Uzmanlık Rollerinin ve Beceri Setlerinin Tespit Edilmesi

Öz

Bu çalışma, sağlık hizmetlerinin kalitesinin ve etkinliğinin sürdürülmesinde ve arttırılmasında hayati bir rol oynayan sağlık bilgi yönetimi (SBY) için iş piyasasında talep edilen yetkinlik alanlarını ve beceri setlerini araştırmayı amaçlamaktadır. Bu amaç doğrultusunda, çevrimiçi SBY iş ilanları üzerinde, metin madenciliği ve olasılıksal konu modellemeye dayalı nicel bir yöntembilim kullanılarak, uzmanlık rollerini ve beceri setlerini anlamsal konular olarak belirlemek için anlamsal bir içerik analizi gerçekleştirilmiştir. Bulgularımız, SBY mesleklerinin yetkinlik gereksinimlerinin geniş bir yelpazesini temsil eden on uzmanlık rolü ve yirmi dört beceriyi ortaya koydu. “Uzman” (%17,57), “Direktör” (%17,05), “Menajer” (%13,18), “Kodlayıcı” (%12,40) ve “Teknisyen” (%11,11) SBY için ilk beş uzmanlık rolü olarak tespit edilmiştir. Konu modelleme analizi kullanılarak 24 konunun ortaya çıkardığı bilgi ve becerilere dayanarak SBY alanı için bir yetkinlik taksonomisi geliştirilmiştir. SBY yetkinlikleri “Sağlık Bilgisi” (%39,92), “Yönetim Becerileri” (%29,80), “Bilişim Becerileri” (%16,09) ve “Sosyal Beceriler” (%14,18) olarak kategorize edildi. Bulgularımız, SBY adayları ve uzmanları, sağlık kuruluşları ve akademik kurumların SBY yetkinliklerini ve becerilerini anlama, değerlendirme ve geliştirme çabaları için önemli faydalar sağlayabilir.

Anahtar Kelimeler

Sağlık Bilgi Yönetimi, Yetkinlikler ve Beceriler, İnsan Kaynakları Yönetimi, Makine Öğrenimi, Konu Modelleme

Kaynakça

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