Evaluating the Impact of Digital Communication on Healthcare Service Efficiency and Patient Treatment Outcomes
DOI:
https://doi.org/10.56294/mw2023113Keywords:
Digital Communication, Healthcare service, Patient satisfaction, Treatment adherence, Healthcare professional efficiencyAbstract
Processes for patient treatment and service provision have changed as a product of the practice of digital communication expertise in the medical sector. The research assesses how digital communication affects patient treatment results and the effectiveness of healthcare services. A sample of 60 medical professionals and 200 patients was chosen from telemedicine platforms, clinics, and hospitals. In addition to healthcare service indicators like wait times and consultation lengths, data were gathered through surveys and questionnaires that evaluated patient satisfaction, treatment adherence, and healthcare professional efficiency. Key trends in service efficiency and satisfaction were compiled using descriptive statistics, and healthcare service measures were compared before and after the use of digital communication technologies using a paired sample t-test. The findings show that digital communication skills have a major effect on increased coordination among healthcare practitioners, shorter wait times, and quicker reaction times. Patients expressed better participation and satisfaction with their treatment schedules, especially after having access to up-to-date health information. However, problems like digital accessibility and data security exist. The findings suggest that while digital communication enhances healthcare efficiency and treatment outcomes, these obstacles must be tackled to harness the advantages. It emphasizes the vital role of continuous innovation and adaptation in healthcare to provide effective, efficient, and fair healthcare delivery in the digital era.
References
[1] Aapro M, Bossi P, Dasari A, Fallowfield L, Gascón P, Geller M, Jordan K, Kim J, Martin K, Porzig S. Digital health for optimal supportive care in oncology: benefits, limits, and future perspectives. Supportive care in cancer. 2020 Oct;28:4589-612. https://doi.org/10.1007/s00520-020-05539-1
[2] Laurenza E, Quintano M, Schiavone F, Vrontis D. The effect of digital technologies adoption in healthcare industry: a case based analysis. Business process management journal. 2018 Jul 12;24(5):1124-44.
[3] Ricciardi W, Pita Barros P, Bourek A, Brouwer W, Kelsey T, Lehtonen L. How to govern the digital transformation of health services. European journal of public health. 2019 Oct 1;29(Supplement_3):7-12. https://doi.org/10.1093/eurpub/ckz165
[4] Kraus S, Schiavone F, Pluzhnikova A, Invernizzi AC. Digital transformation in healthcare: Analyzing the current state-of-research. Journal of Business Research. 2021 Feb 1;123:557-67. https://doi.org/10.1016/j.jbusres.2020.10.030
[5] Aceto G, Persico V, Pescapé A. The role of Information and Communication Technologies in healthcare: taxonomies, perspectives, and challenges. Journal of Network and Computer Applications. 2018 Apr 1;107:125-54.
[6] Kelly JT, Campbell KL, Gong E, Scuffham P. The Internet of Things: Impact and implications for health care delivery. Journal of medical Internet research. 2020 Nov 10;22(11):e20135. https://doi.org/10.2196/20135
[7] Aceto G, Persico V, Pescapé A. Industry 4.0 and health: Internet of things, big data, and cloud computing for healthcare 4.0. Journal of Industrial Information Integration. 2020 Jun 1;18:100129.
[8] Dhagarra D, Goswami M, Kumar G. Impact of trust and privacy concerns on technology acceptance in healthcare: an Indian perspective. International journal of medical informatics. 2020 Sep 1;141:104164. https://doi.org/10.1016/j.ijmedinf.2020.104164
[9] Peek N, Sujan M, Scott P. Digital health and care in pandemic times: impact of COVID-19. BMJ Health & Care Informatics. 2020 Jun 21;27(1):e100166. https://doi.org/10.1136/bmjhci-2020-100166
[10] Gopal G, Suter-Crazzolara C, Toldo L, Eberhardt W. Digital transformation in healthcare–architectures of present and future information technologies. Clinical Chemistry and Laboratory Medicine. 2019 Mar 1;57(3):328-35. https://doi.org/10.1515/cclm-2018-0658
[11] Liu Y, Zhang L, Yang Y, Zhou L, Ren L, Wang F, Liu R, Pang Z, Deen MJ. A novel cloud-based framework for the elderly healthcare services using digital twin. IEEE access. 2019 Apr 11;7:49088-101. https://doi.org/10.1109/ACCESS.2019.2909828
[12] Gries KS, Fastenau J. Using a digital patient powered research network to identify outcomes of importance to patients with multiple myeloma. Journal of Patient-Reported Outcomes. 2020 Dec;4:1-9. https://doi.org/10.1186/s41687-020-00242-5
[13] Martin G, Clarke J, Liew F, Arora S, King D, Aylin P, Darzi A. Evaluating the impact of organizational digital maturity on clinical outcomes in secondary care in England. NPJ digital medicine. 2019 May 16;2(1):41. https://doi.org/10.1038/s41746-019-0118-9
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Copyright (c) 2023 Renuka Jyothi S, Nidhi Srivastava, Srikant Kumar Dhar (Author)
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