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All Journal Journal of Computer Science Advancements Journal of Midwifery History and Philosophy
Daniyar Satybaldy
Al-Farabi Kazakh National University
Computer Science & IT Nursing Public Health

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Handmaids to the Doctor: Tracing the Subordination of Midwifery to Obstetrics in the 20th Century Ali Al- Jubouri; Daniyar Satybaldy; Azamat Nazarov
Journal of Midwifery History and Philosophy Vol. 2 No. 1 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jmhp.v1i2.3567

Abstract

Background. The twentieth century marked a fundamental transformation in childbirth practices, driven by the rise of obstetrics and the gradual subordination of midwifery within institutional healthcare systems. This shift redefined maternal care through clinical authority, technological intervention, and standardized protocols, while simultaneously reshaping professional hierarchies and gendered roles in medicine. Purpose. This study aimed to critically examine how midwifery was repositioned from an autonomous, community-based practice into a subordinate role under the dominance of obstetrics within modern healthcare institutions. Method. A qualitative historical research design was employed, integrating archival analysis, policy documents, and scholarly literature. The data were analyzed using thematic coding informed by feminist theory and the sociology-of-professions framework to explore shifts in power, knowledge, and professional identity. Results. The findings indicate that the subordination of midwifery was influenced not only by clinical advancements but also by regulatory mechanisms, institutional expansion, and epistemological hierarchies privileging biomedical knowledge over experiential practice. Evidence further shows that this transformation reshaped both professional identities and the nature of childbirth, shifting it from relational, woman-centered care toward standardized medical control. Conclusion. The study concludes that the rise of obstetrics represents a complex reconfiguration of power and knowledge rather than a purely linear progression of medical improvement. These findings provide important insights for contemporary discussions on maternal care, interprofessional collaboration, and the development of more patient-centered healthcare approaches.
MOBILE APPLICATION DESIGN BASED ON NATURAL LANGUAGE PROCESSING TO IMPROVE THE QUALITY OF HEALTH SERVICES Achmad Ridwan; Zain Nizam; Daniyar Satybaldy
Journal of Computer Science Advancements Vol. 3 No. 1 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsca.v3i1.1626

Abstract

The increasing demand for efficient and personalized health services has driven the integration of advanced technologies into healthcare systems. Mobile applications leveraging natural language processing (NLP) offer promising solutions to improve patient communication, diagnostic accuracy, and service delivery. Despite advancements, challenges remain in developing user-friendly applications that address diverse healthcare needs. This research focuses on designing a mobile application based on NLP to enhance the quality of health services, emphasizing usability, accuracy, and accessibility. The study employs a user-centered design approach combined with experimental evaluation. The application was developed using Python-based NLP libraries, integrating features such as symptom analysis, medical query responses, and appointment scheduling. A prototype was tested with 150 participants, including patients and healthcare professionals, to evaluate performance metrics such as response accuracy, user satisfaction, and system reliability. The findings indicate that the NLP-based application achieved an 85% accuracy rate in interpreting medical queries and a 90% user satisfaction rate. Participants reported improved communication with healthcare providers and faster access to relevant medical information. However, challenges such as handling complex medical terminology and ensuring data privacy were noted. The study concludes that NLP-powered mobile applications have significant potential to improve health service quality by enabling efficient and accurate communication between patients and providers. Addressing challenges related to data security and expanding linguistic capabilities will be essential for future development. The research underscores the importance of integrating advanced technologies to meet the evolving needs of the healthcare sector.
Co-Authors Achmad Ridwan Ali Al- Jubouri Azamat Nazarov Zain Nizam