Understanding Clinicians’ Lived Experiences in Teleconsultation and Professional Identity
Main Article Content
Abstract
Digital health systems have transformed modern healthcare by integrating technology into clinical practice, reshaping how clinicians deliver and experience care. Within this transformation, teleconsultation platforms have become central to patient management, yet their impact on clinicians’ lived experiences and professional identity remains insufficiently explored. Existing research has largely focused on usability and adoption metrics, leaving a critical gap in understanding how healthcare professionals interpret and find meaning in their digital interactions. This study employs an Interpretative Phenomenological Analysis (IPA) to examine how clinicians navigate empathy, trust, and professional authenticity within teleconsultation environments. Data were collected through semi-structured interviews with twelve medical practitioners actively engaged in digital consultations during the COVID-19 pandemic. The analysis revealed four interrelated themes redefining clinical presence, negotiating trust with technology, reconstructing professional identity, and developing emotional resilience that describe the existential process of adapting to digital care. Findings indicate that clinicians reinterpret their sense of presence and empathy through communicative strategies that compensate for the absence of physical interaction, while also renegotiating trust and responsibility within technology-mediated contexts. This study offers a distinctive contribution by foregrounding the existential and interpretive dimensions of clinicians’ digital practice—an area rarely centered in telemedicine research. These insights deepen the understanding of human experience in digital healthcare, emphasizing the need for human-centered design that preserves empathy and ethical integrity in telemedicine. The study contributes to both theoretical and practical discourse by framing digital transformation as an experiential and interpretive phenomenon rather than merely a technical advancement.
Article Details
Section

This work is licensed under a Creative Commons Attribution 4.0 International License.
References
Ali, T. E., Ali, F. I., Morad, A. H., Abdala, M. A., & Zoltan, A. D. (2024). Diabetic Patient Real-Time Monitoring System Using Machine Learning. International Journal of Computing and Digital Systems, 16(1), 1123–1134. Scopus. https://doi.org/10.12785/ijcds/160182
Aovare, P., Beune, E., Laar, A., Moens, N., Moll van Charante, E. P., & Agyemang, C. (2025). User experiences with a mobile health app for self-management of diabetes and hypertension in Ghana: A qualitative study. Annals of Medicine, 57(1). Scopus. https://doi.org/10.1080/07853890.2025.2517395
Bhat, T. F., Bhat, R. A., Tramboo, I. A., & Antony, S. (2025). Surveilled Selves and Silenced Voices: A Linguistic and Gendered Critique of Privacy Invasion in Marie Lu’s Warcross. Forum for Linguistic Studies, 7(5), 437–448. Scopus. https://doi.org/10.30564/fls.v7i5.9505
Boers, S. N., Jongsma, K. R., Lucivero, F., Aardoom, J., Büchner, F. L., de Vries, M., Honkoop, P., Houwink, E. J. F., Kasteleyn, M. J., Meijer, E., Pinnock, H., Teichert, M., van der Boog, P., van Luenen, S., van der Kleij, R. M. J. J., & Chavannes, N. H. (2020). SERIES: eHealth in primary care. Part 2: Exploring the ethical implications of its application in primary care practice. European Journal of General Practice, 26(1), 26–32. Scopus. https://doi.org/10.1080/13814788.2019.1678958
Canfell, O. J., Kodiyattu, Z., Eakin, E., Burton-Jones, A., Wong, I., Macaulay, C., & Sullivan, C. (2022). Real-world data for precision public health of noncommunicable diseases: A scoping review. BMC Public Health, 22(1). Scopus. https://doi.org/10.1186/s12889-022-14452-7
Carreiras, H., & Castro, C. (2012). Qualitative methods in military studies: Research experiences and challenges (p. 194). Taylor and Francis; Scopus. https://doi.org/10.4324/9780203099223
Dagsever, F., Sharif-Khodaei, Z., & Aliabadi, M. H. F. (2025). WSN-Based Multi-Sensor System for Structural Health Monitoring. Sensors, 25(14). Scopus. https://doi.org/10.3390/s25144407
Daly, K. J. (2007). Qualitative methods for family studies & human development (p. 293). SAGE Publications Inc.; Scopus. https://doi.org/10.4135/9781452224800
Denniss, E., & Lindberg, R. (2025). Social media and the spread of misinformation: Infectious and a threat to public health. Health Promotion International, 40(2). Scopus. https://doi.org/10.1093/heapro/daaf023
Erol, I., Peker, I., Medeni, I. T., & Yüce, F. (2025). Towards precision dentistry through artificial intelligence and blockchain-based digital Twins: Investigating challenges and solution strategies. Technology in Society, 83. Scopus. https://doi.org/10.1016/j.techsoc.2025.103051
Fife, W. (2020). Counting as a Qualitative Method: Grappling with the Reliability Issue in Ethnographic Research (p. 140). Springer International Publishing; Scopus. https://doi.org/10.1007/978-3-030-34803-8
Grodniewicz, J. P., & Hohol, M. (2023). Waiting for a digital therapist: Three challenges on the path to psychotherapy delivered by artificial intelligence. Frontiers in Psychiatry, 14. Scopus. https://doi.org/10.3389/fpsyt.2023.1190084
Hillman, W., & Radel, K. (2018). Qualitative methods in tourism research: Theory and practice (p. 294). Channel View Publications; Scopus. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85050434848&partnerID=40&md5=7ea1e3f0b2027993b53f6a795804ee51
Iijima, K., Akishita, M., Endo, T., Ichikawa, T., Ozaki, N., Ogasawara, K., Kihara, Y., Kuzuya, M., Komatsu, H., & Terasaki, H. (2025). Reconstruction of a resilient and secure community and medical care system in the coronavirus era – English translation of the Japanese opinion released from the Science Council of Japan. Geriatrics and Gerontology International, 25(4), 481–490. Scopus. https://doi.org/10.1111/ggi.15073
Iosifides, T. (2016). Qualitative Methods in Migration Studies: A Critical Realist Perspective (p. 266). Taylor and Francis; Scopus. https://doi.org/10.4324/9781315603124
Kawamura, Y. (2020). DOING RESEARCH IN FASHION AND DRESS: An Introduction to Qualitative Methods, 2nd edition (p. 166). Bloomsbury Publishing Plc.; Scopus. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85188589040&partnerID=40&md5=b3db406659cd1ea5b20e05664bec39a3
Lai, Y.-C., Chiang, S.-Y., Kan, Y.-C., & Lin, H.-C. (2024). Coupling Analysis of Multiple Machine Learning Models for Human Activity Recognition. Computers, Materials and Continua, 79(3), 3783–3803. Scopus. https://doi.org/10.32604/cmc.2024.050376
Longhofer, J., Floersch, J., & Hoy, J. (2012). Qualitative Methods for Practice Research (p. 224). Oxford University Press; Scopus. https://doi.org/10.1093/acprof:oso/9780195398472.001.0001
Lutz, W., & Knox, S. (2014). Quantitative and qualitative methods in psychotherapy research (p. 448). Taylor and Francis; Scopus. https://doi.org/10.4324/9780203386071
Ma, J., & Saadati, S. A. (2025). Voices of Recovery: Patients’ Experiences with AI-Assisted Stroke Rehabilitation. International Journal of Sport Studies for Health, 8(4), 1–9. Scopus. https://doi.org/10.61838/kman.intjssh.8.4.9
Makgahlela, M., Mabidilala, M., Lesolang, N., Jidong, D. E., & Monera-Penduka, T. G. (2022). Using traditional medicine to help with bereavement loss and coping: An interpretative phenomenological analysis of traditional healers’ experiences. Journal of Mental Health Training, Education and Practice, 17(2), 145–158. Scopus. https://doi.org/10.1108/JMHTEP-07-2021-0087
McNabb, D. E. (2015). Research methods for political science: Quantitative and qualitative methods: Second edition (p. 426). Taylor and Francis; Scopus. https://doi.org/10.4324/9781315701141
Migdal, A. B. (2018). Qualitative Methods in Quantum Theory (p. 460). CRC Press; Scopus. https://doi.org/10.1201/9780429497940
Mihai, S., Yaqoob, M., Hung, D. V., Davis, W., Towakel, P., Raza, M., Karamanoglu, M., Barn, B., Shetve, D., Prasad, R. V., Venkataraman, H., Trestian, R., & Nguyen, H. X. (2022). Digital Twins: A Survey on Enabling Technologies, Challenges, Trends and Future Prospects. IEEE Communications Surveys and Tutorials, 24(4), 2255–2291. Scopus. https://doi.org/10.1109/COMST.2022.3208773
Morid, M. A., Sheng, O. R. L., & Dunbar, J. (2023). Time Series Prediction Using Deep Learning Methods in Healthcare. ACM Transactions on Management Information Systems, 14(1). Scopus. https://doi.org/10.1145/3531326
Mukhlis, L. (2025a). A Phenomenological Study of Personal Spiritual Experiences in Navigating Religious Pluralism within Interfaith Communities. Irfana: Journal of Religious Studies, 1(6), 212–220.
Mukhlis, L. (2025b). Spiritual Grounds for Economic Growth: A Qualitative Exploration of Rural Indonesian Women’s Transformative Journeys Through Mosque-Led Empowerment Programs. Servina: Jurnal Pengabdian Kepada Masyarakat, 1(8), 289–298.
Mukhlis, L., & Abdullah, M. N. (2025). Hukum Keluarga Islam di Indonesia (1st ed.). Mukhlisina Revolution Center.
Mukhlis, L., Arifin, T., Ridwan, A. H., & Zulbaidah. (2024). Integrating Artificial Intelligenceand Maqāṣid al-Syarī‘ah: Revolutionizing Indonesia’s Sharia Online Trading System. Computer Fraud and Security, 2024(11), 301–309. https://doi.org/10.52710/cfs.238
Mukhlis, L., Arifin, T., Ridwan, A. H., & Zulbaidah. (2025). Reorientation of Sharia Stock Regulations: Integrating Taṣarrufāt al-Rasūl and Maqāṣid al-Sharī‘ah for Justice and Sustainability. Journal of Information Systems Engineering and Management, 10(10s), 58–66. https://doi.org/10.52783/jisem.v10i10s.1341
Mukhlis, L., Arifin, T., Ridwan, A. H., Zulbaidah, Rosadi, A., & Solehudin, E. (2025). Reformulation of Islamic Stock Law: The Application of Taṣarrufāt al-Rasūl and Maqāṣid al-Syarī‘ahto Develop a Dynamic and Sustainable Islamic Capital Market in Indonesia. Journal of Posthumanism, 5(3), 1–13. https://doi.org/10.63332/joph.v5i3.913
Mukhlis, L., Janwari, Y., & Syafe`i, R. (2023). INDONESIA STOCK EXCHANGE: THEORETICAL AND PHILOSOPHICAL ANALYSIS OF MUDHARABAH AND MUSYARAKAH CONTRACTS. Yurisprudentia: Jurnal Hukum Ekonomi, 9(2), 243–264. https://doi.org/10.24952/yurisprudentia.v9i2.8466
Mukhlis, L., Maryam, S., & Sormin, S. A. (2023). Model Pembelajaran Living History Berbasis PjBL Untuk Meningkatkan Keterampilan Histografi Mahasiswa. Jurnal Educatio FKIP UNMA, 9(4), 1800–1809. https://doi.org/10.31949/educatio.v9i4.5595
Mukhlis, L., & Saidah, Y. (2025). Dynamics of Nature-Based learning in Developing Children’s Motoricic Skills: Teacher and Parent Perspectives. HUMANISMA: Journal of Gender Studies, 9(1), 64–79. http://dx.doi.org/10.30983/humanisme.v4i2.9366
Mukhlis, L., Suradi, Janwari, Y., & Syafe`i, R. (2023). Sosialisasi Saham Syariah sebagai Instrumen Pengembangan Ekonomi Masyarakat di Badan Kontak Majelis Taklim (BKMT) Kabupaten Mandailing Natal. Jurnal Pengabdian Multidisiplin, 3(2), 2–9. https://doi.org/10.51214/japamul.v3i2.604
Polat, E. O. (2021). Seamlessly Integrable Optoelectronics for Clinical Grade Wearables. Advanced Materials Technologies, 6(3). Scopus. https://doi.org/10.1002/admt.202000853
Schofield, P., Shaw, T. Toward comprehensive patient-centric care by integrating digital health technology with direct clinical contact in Australia. Journal of Medical Internet Research, 21(6). Scopus. https://doi.org/10.2196/12382
Shaikh, A., Adhikari, N., Nazir, A., Shah, A. S., Baig, S., & Al-Shihi, H. (2025). Blockchain-enhanced electoral integrity: A robust model for secure digital voting systems in Oman. F1000Research, 14. Scopus. https://doi.org/10.12688/f1000research.160087.3
Shilpa, R., Patrick, H. A., Sathyanarayana, N., & Kareem, J. (2025). Examining the Effectiveness of ASHA Workers in Providing Healthcare Services in Rural and Urban Areas of Bengaluru. WSEAS Transactions on Environment and Development, 21, 629–647. Scopus. https://doi.org/10.37394/232015.2025.21.52
Sibrian, D. (2025). Thriving Through Adversity: Ancestral Wisdom and Environmental Justice. Environmental Justice, 18(4), 278–290. Scopus. https://doi.org/10.1089/env.2023.0074