Improving digital health services strategy using evidence to support community health care
Keywords:
Enhancing, digital health, evaluation strategy, scientific evidence, community serviceAbstract
Efforts to improve health evaluation strategies with the help of technology or so-called software applications to improve public services are an exciting issue to be reviewed. This study tries to obtain scientific evidence from various fires and viewpoints from various publication sources. We examine it with a phenomenological approach, and finally, we find very valid results to answer the problem. Based on the study and discussion results, we have obtained results, including efforts to increase digital health evaluation and the provision of comprehensive health services, which are believed to increase the effectiveness of accessibility, convenience, efficiency, and personalized services for every community. Experts say these strategies are technological innovations in health services that involve a digital-based service system. People who seek treatment can benefit from the cost-effectiveness of spending and other dangers that often occur before digital-based health innovations occur.
Downloads
References
Ahmad, F. A., Payne, P. R., Lackey, I., Komeshak, R., Kenney, K., Magnusen, B., Bailey, T. (2020). Using REDCap and apple ResearchKit to integrate patient questionnaires and clinical decision support into the electronic health record to improve sexually transmitted infection testing in the emergency department. Journal of the American Medical Informatics Association, 27(2), 265-273.
Ajami, S. (2016). Use of speech-to-text technology for documentation by healthcare providers. The National Medical Journal of India, 29(3), 148.
Al Kuwaiti, A., Al Muhanna, F. A., & Al Amri, S. (2018). Implementation of digital health technology at academic medical centers in Saudi Arabia. Oman Medical Journal, 33(5), 367.
Alauddin, M. S., Baharuddin, A. S., & Mohd Ghazali, M. I. (2021). The modern and digital transformation of oral health care: A mini-review. Paper presented at the Healthcare, 9(2) 118.
Al-Maroof, R. S., Salloum, S. A., Hassanien, A. E., & Shaalan, K. (2020). Fear from COVID-19 and technology adoption: The impact of google meet during coronavirus pandemic. Interactive Learning Environments, , 1-16.
Auerbach, A., & Bates, D. W. (2020). Introduction: Improvement and measurement in the era of electronic health records. Annals of Internal Medicine, 172(11_Supplement), S69-S72.
Bai, H. (2020). Modernizing medical education through leadership development. The Yale Journal of Biology and Medicine, 93(3), 433-439. doi:yjbm933433 [pii].
Bates, D. W., Saria, S., Ohno-Machado, L., Shah, A., & Escobar, G. (2014). Big data in health care: Using analytics to identify and manage high-risk and high-cost patients. Health Affairs, 33(7), 1123-1131.
Bhavnani, S. P., Narula, J., & Sengupta, P. P. (2016). Mobile technology and the digitization of healthcare. European Heart Journal, 37(18), 1428-1438.
Blakey, J. D., Bender, B. G., Dima, A. L., Weinman, J., Safioti, G., & Costello, R. W. (2018). Digital technologies and adherence in respiratory diseases: The road ahead. European Respiratory Journal, 52(5)
Bluethmann, S. M., Coa, K. I., Alfano, C. M., & Hesse, B. W. (2018). Electronic health information exchange opportunities for self-management of care: Responses from older adults with and without cancer history in the united states. Current Oncology Reports, 20(4), 1-8.
Botvinik-Nezer, R., Holzmeister, F., Camerer, C. F., Dreber, A., Huber, J., Johannesson, M., ... & Rieck, J. R. (2020). Variability in the analysis of a single neuroimaging dataset by many teams. Nature, 582(7810), 84-88.
Bukowski, M., Farkas, R., Beyan, O., Moll, L., Hahn, H., Kiessling, F., & Schmitz-Rode, T. (2020). Implementing eHealth and AI integrated diagnostics with multidisciplinary digitized data: Are we ready from an international perspective? European Radiology, 30(10), 5510-5524.
Chatterjee, R., Ray, R., Dash, S. R., & Jena, O. P. (2021). Conceptualizing tomorrow's healthcare through digitization. Computational Intelligence and Healthcare Informatics, 359-376.
Chatzakis, I., Vassilakis, K., Lionis, C., & Germanakis, I. (2018). Electronic health records with computerized decision support tools for Crete's pediatric cardiovascular heart disease screening program. Computer Methods and Programs in Biomedicine, 159, 159-166.
Coorevits, P., Sundgren, M., Klein, G. O., Bahr, A., Claerhout, B., Daniel, C., . . . Singleton, P. (2013). Electronic health records: new opportunities for clinical research. Journal of Internal Medicine, 274(6), 547-560.
Dash, S. P. (2020). The impact of IoT in healthcare: Global technological change & the roadmap to a networked architecture in India. Journal of the Indian Institute of Science, 100(4), 773-785.
Dash, S., Shakyawar, S. K., Sharma, M., & Kaushik, S. (2019). Big data in healthcare: Management, analysis, and prospects. Journal of Big Data, 6(1), 1-25.
De Rosa, E. (2017). Social innovation and ICT in social services: European experiences compared. Innovation: The European Journal of Social Science Research, 30(4), 421-432.
Dehling, T., Gao, F., Schneider, S., & Sunyaev, A. (2015). We are exploring the far side of mobile health: Information security and privacy of mobile health apps on iOS and android. JMIR mHealth and uHealth, 3(1), e3672.
Elwyn, G., Scholl, I., Tietbohl, C., Mann, M., Edwards, A. G., Clay, C., . . . Wexler, R. M. (2013). "Many miles to go…": A systematic review of implementing patient decision support interventions into routine clinical practice. BMC Medical Informatics and Decision Making, 13(2), 1-10.
Fauzi, A., Wandira, R., Sepri, D., & Hafid, A. (2021). I am exploring students' acceptance of google classroom during the covid-19 pandemic by using the technology acceptance model in west Sumatera universities. Electronic Journal of e-Learning, 19(4), pp233-240.
Flahault, A., Geissbuhler, A., Guessous, I., Guérin, P., Bolon, I., Salathé, M., & Escher, G. (2017). Precision global health in the digital age. Swiss Medical Weekly, 147, w14423.
Frennert, S. (2018). Lost in digitalization? Municipality employment of welfare technologies. Disability and Rehabilitation: Assistive Technology.
Ganguli, I., Gordon, W. J., Lupo, C., Sands-Lincoln, M., George, J., Jackson, G., . . . Bates, D. W. (2020). Machine learning and the pursuit of high-value health care. NEJM Catalyst Innovations in Care Delivery, 1(6).
Garabedian, L. F., Ross‐Degnan, D., Soumerai, S. B., Choudhry, N. K., & Brown, J. S. (2017). Impact of Massachusetts health reform on enrollment length and health care utilization in the unsubsidized individual market. Health Services Research, 52(3), 1118-1137.
Ghazal, T. M. (2021). Internet of things with artificial intelligence for health care security. Arabian Journal for Science and Engineering, , 1-12.
Imison, C., Castle-Clarke, S., Watson, R., & Edwards, N. (2016). Delivering the benefits of digital health care Nuffield Trust London.
Ittefaq, M., & Iqbal, A. (2018). Digitization of the health sector in Pakistan: Challenges and opportunities to online health communication: A case study of MARHAM social and mobile media. Digital Health, 4, 2055207618789281.
Jin, J. (2015). Science & technology and modernization. Paper presented at the Civilization and Modernization: Proceedings of the Russian–Chinese Conference 2012, 87-102.
Jove, D. (2019). Peter Nowak v data protection commissioner: Potential aftermaths regarding subjective annotations in clinical records. Eur.Data Prot.L.Rev., 5, 175.
Konttila, J., Siira, H., Kyngäs, H., Lahtinen, M., Elo, S., Kääriäinen, M., . . . Fukui, S. (2019). Healthcare professionals' competence in digitalization: A systematic review. Journal of Clinical Nursing, 28(5-6), 745-761.
Kostagiolas, P., & Katsani, A. (2021). The management of public libraries during COVID-19 pandemic: A systematic literature review through PRISMA method. Library Management.
Larsson, A., & Teigland, R. (2019). Digital transformation and public services: Societal impacts in Sweden and beyond Taylor & Francis.
Larsson, A., Elf, O., Gross, C., & Elf, J. (2019). Welfare services in an era of digital disruption: How digitalization reshapes the health care market. Digital transformation and public services (pp. 33-57) Routledge.
Lazim, C., Ismail, N. D. B., & Tazilah, M. (2021). Application of technology acceptance model (TAM) towards online learning during a covid-19 pandemic: Accounting students perspective. Int.J.Bus.Econ.Law, 24(1), 13-20.
Lotven, A. (2016). Issuers praise the new special enrollment period guidance. Inside CMS, 19(9), 18-20.
Lysaght, T., Lim, H. Y., Xafis, V., & Ngiam, K. Y. (2019). AI-assisted decision-making in healthcare. Asian Bioethics Review, 11(3), 299-314.
Miner, G. D., Miner, L. A., Goldstein, M., Nisbet, R., Walton, N., Bolding, P., . . . Hill, T. (2014). Practical predictive analytics and decisioning systems for medicine: Informatics accuracy and cost-effectiveness for healthcare administration and delivery including medical research Academic Press.
Murdoch, T. B., & Detsky, A. S. (2013). The inevitable application of big data to health care. Jama, 309(13), 1351-1352.
Neumann, M., Fehring, L., Kinscher, K., Truebel, H., Dahlhausen, F., Ehlers, J. P., . . . Boehme, P. (2021). The perspective of german medical faculties on digitization in the healthcare sector and its influence on the curriculum. GMS Journal for Medical Education, 38(7).
Ng, S. L., Baker, L., Cristancho, S., Kennedy, T. J., & Lingard, L. (2018). Qualitative research in medical education: Methodologies and methods. Understanding Medical Education: Evidence, Theory, and Practice, , 427-441.
Noda, Y. (2020). Socioeconomic transformation and mental health impact by the COVID-19's ultimate VUCA era: Toward the new normal, the new japan, and the new world. Asian Journal of Psychiatry, 54, 102262.
Nshimyumukiza, L., Douville, X., Fournier, D., Duplantie, J., Daher, R. K., Charlebois, I., . . . Boissinot, M. (2016). Cost‐effectiveness analysis of antiviral treatment in managing seasonal influenza A: Point‐of‐care rapid test versus clinical judgment. Influenza and Other Respiratory Viruses, 10(2), 113-121.
O’Brien, B. C., Harris, I. B., Beckman, T. J., Reed, D. A., & Cook, D. A. (2014). Standards for reporting qualitative research: a synthesis of recommendations. Academic medicine, 89(9), 1245-1251.
Pivodic, A., E H Smith, L., Hard, A. L., Lofqvist, C., Almeida, A. C., Al-Hawasi, A., . . . Granse, L. (2022). Validation of DIGIROP models and decision support tool for predicting treatment for retinopathy of prematurity in a contemporary Swedish cohort. The British Journal of Ophthalmology, doi:bjophthalmol-2021-320738 [pii].
Porter, A., Potts, H., Mason, S., Morgan, H., Morrison, Z., Rees, N., . . . Williams, V. (2018). 70 the Digital Ambulance: Electronic Patient Clinical Records in Prehospital Emergency Care.
Ricciardi, W., Pita Barros, P., Bourek, A., Brouwer, W., Kelsey, T., & Lehtonen, L. (2019). How to govern the digital transformation of health services. European Journal of Public Health, 29(Supplement_3), 7-12.
Rivera, L. F., Jiménez, M., Angara, P., Villegas, N. M., Tamura, G., & Müller, H. A. (2019). Towards continuous monitoring in personalized healthcare through digital twins. Paper presented at the Proceedings of the 29th Annual International Conference on Computer Science and Software Engineering, 329-335.
Roman, P. A. (2021). The role of telemedicine and digitalization in the paradigm shift of medical services in Romania. The Annals of the University of Oradea.Economic Sciences, 30(1st).
Ryan, A. M., McCullough, C. M., Shih, S. C., Wang, J. J., Ryan, M. S., & Casalino, L. P. (2014). The intended and unintended consequences of quality improvement interventions for small practices in a community-based electronic health record implementation project. Medical Care, , 826-832.
Santosh, K., & Gaur, L. (2021). AI solutions to public health issues. Artificial intelligence and machine learning in public healthcare (pp. 23-32) Springer.
Seidi, J., Alhani, F., & Salsali, M. (2015). Nurses' clinical judgment development: A qualitative research in Iran. Iranian Red Crescent Medical Journal, 17(9).
Shortliffe, E. H., Shortliffe, E. H., Cimino, J. J., & Cimino, J. J. (2014). Biomedical informatics: Computer applications in health care and biomedicine Springer.
Shuval, K., Harker, K., Roudsari, B., Groce, N. E., Mills, B., Siddiqi, Z., & Shachak, A. (2011). Is qualitative research second-class science? A quantitative longitudinal examination of qualitative research in medical journals. PloS One, 6(2), e16937.
Singh, R. P., Javaid, M., Haleem, A., Vaishya, R., & Bahl, S. (2020). Significance of health information technology (HIT) in context to COVID-19 pandemic: Potential roles and challenges. Journal of Industrial Integration and Management, 5(04), 427-440.
Smania, G. S., de Sousa Mendes, Glauco Henrique, Lizarelli, F. L., & Favoretto, C. (2021). Service innovation in medical device manufacturers: Does digitalization matter? Journal of Business & Industrial Marketing.
Stuebing, E. A., & Miner, T. J. (2011). Surgical vampires and rising health care expenditure: Reducing the cost of daily phlebotomy. Archives of Surgery, 146(5), 524-527.
Tanwar, S., Parekh, K., & Evans, R. (2020). Blockchain-based electronic healthcare record system for healthcare 4.0 applications. Journal of Information Security and Applications, 50, 102407.
Wager, K. A., Lee, F. W., & Glaser, J. P. (2021). Health care information systems: A practical approach for health care management John Wiley & Sons.
Zarour, M., Alenezi, M., Ansari, M. T. J., Pandey, A. K., Ahmad, M., Agrawal, A., . . . Khan, R. A. (2021). Ensuring data integrity of healthcare information in the era of digital health. Healthcare Technology Letters, 8(3), 66.
Zhu, X. (2014). Mandate versus championship: Vertical government intervention and diffusion of innovation in public services in authoritarian china. Public Management Review, 16(1), 117-1
Published
How to Cite
Issue
Section
Copyright (c) 2022 International journal of health sciences
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Articles published in the International Journal of Health Sciences (IJHS) are available under Creative Commons Attribution Non-Commercial No Derivatives Licence (CC BY-NC-ND 4.0). Authors retain copyright in their work and grant IJHS right of first publication under CC BY-NC-ND 4.0. Users have the right to read, download, copy, distribute, print, search, or link to the full texts of articles in this journal, and to use them for any other lawful purpose.
Articles published in IJHS can be copied, communicated and shared in their published form for non-commercial purposes provided full attribution is given to the author and the journal. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
This copyright notice applies to articles published in IJHS volumes 4 onwards. Please read about the copyright notices for previous volumes under Journal History.
