Systematic review protocol of digital divides in the medical sciences area
DOI:
https://doi.org/10.56294/saludcyt2024750Keywords:
Digital Divide, Technological Disparity, Electronic Medical Records, Mobile Health, TelemedicineAbstract
Introduction: the development of digital technologies in the area of medical sciences has progressively advanced in recent years, initially conceptualized as electronic health, whose characteristics were fundamentally informative, its main tool being the internet and extending to other services such as mobile health and telehealth of great importance for medicine. Objective: the present systematic review aims to determine the main digital technologies in the health area, developed during the years 2020 to 2022 and their applicability in the different fields of medicine.
Method: the methodology used was based on the review of original research articles on four categories of study: electronic medical records, telemedicine, mobile health and data analysis, obtained from the Scopus, Web of Science, ProQuest and EBSCO databases. Thirty articles were selected, respecting the screening and eligibility criteria considered in the PRISMA protocol. Results: the results of the review showed the remarkable development in the application of electronic medical records and telemedicine in the different areas of health, constituting between them 60 % of the publications; mobile applications and data analysis were the ones with the lowest results, but with the greatest technological innovation.
Conclusion: we conclude the importance of the applicability of new technologies developed during the health emergency in different health areas
References
1. Barbieri D, Giuliani E, Del Prete A, Losi A, Villani M, Barbieri A. Review how artificial intelligence and new technologies can help the management of the COVID-19 pandemic. International Journal of Environmental Research and Public Health. 2021;18(14). https://doi.org/10.3390/ijerph18147648
2. Alghamdi N, Alghamdi S, The Role of Digital Technology in Curbing COVID-19. International Journal of Environmental Research and Public Health. 2022;19(14). https://doi.org/10.3390/ijerph19148287
3. Da Fonseca M, Kovaleski F, Picinin C, Pedroso B, Rubbo, P. E-health practices and technologies: A systematic review from 2014 to 2019. Healthcare (Switzerland). 2021; 9(9):1-33. https://doi.org/10.3390/healthcare9091192
4. Arif M, Ta G. COVID-19 Pandemic Management: A Review of the Digitalisation Leap in Malaysia. Sustainability (Switzerland). 2022;14(11). https://doi.org/10.3390/su14116805
5. The Lancet M. Can digital technologies improve health? The Lancet. 2021; 398(10312). https://doi.org/10.1016/S0140-6736(21)02219-4
6. Sturgiss E, Desborough J, Hall-Dykgraaf S, Matenge S, Dut G, Davis S, et al. Digital health to support primary care provision during a global pandemic. Australian Health Review. 2022; 46(3):269-272 https://doi.org/10.1071/AH21263
7. Iyamu I, Xu A, Gómez-Ramírez O, Ablon A, Chang H, Mckee G, Gilbert M. Defining digital public health and the role of digitization, digitalization, and digital transformation: Scoping review. JMIR Public Health and Surveillance. 2021; 7(11). https://doi.org/10.2196/30399
8. Sheikh A, Anderson M, Albala S, Casadei B, Franklin B, et al. Health information technology and digital innovation for national learning health and care systems. The Lancet Digital Health. 2021;3(6):e383–e396. https://doi.org/10.1016/S2589-7500(21)00005-4
9. Stahl M, Cheung J, Post K, Valin J, Jacobs I. Accelerating Virtual Health Implementation following the COVID-19 Pandemic: Questionnaire Study. JMIR Formative Research. 2022; 6(5). https://doi.org/10.2196/32819
10. Yang K, Hu Y, Qi H. Digital Health Literacy: Bibliometric Analysis. Journal of Medical Internet Research. 2022; 24(7). https://doi.org/10.2196/35816
11. Fernández Bedoya VH. Tipos de justificación en la investigación científica. Espíritu Emprendedor TES. 2020;4(3):65-76. https://doi.org/10.33970/eetes.v4.n3.2020.207
12. Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. Revista Española de Cardiología. 2021;74(9):790-99. https://doi.org/10.1016/j.recesp.2021.06.016
13. Fernández-Sánchez H, Enriquéz-Hernández C. Scoping Reviews as a methodology for scientific Revisões Exploratórias Sistemáticas como científico. Enfermería Universitaria. 2020;17(1):87-94. https://dialnet.unirioja.es/servlet/articulo?codigo=7299867
14. Eriksen M, Frandsen T. The impact of PICO as a search strategy tool on literature search quality: A systematic review. Journal of the Medical Library Association. 2018;106(4):420–431. https://doi.org/10.5195/jmla.2018.345
15. Das A, Rani P, Vaddavalli P. Tele-consultations and electronic medical records driven remote patient care: Responding to the COVID-19 lockdown in India. Indian Journal of Ophthalmology. 2020;68(6):1007-1012. https://doi.org/10.4103/ijo.IJO_1089_20
16. Anand S, Kumar Dhua A, Singh A, Krishnan SN, Verma A. et al. Electronic Medical Record System-Based Teleconsultations in Pediatric Surgery: An Initiative from a Tertiary Care Public-Funded Hospital in North India to Alleviate the COVID-19 Imposed Hospital Visit Restrictions. Journal of Indian Association of Pediatric Surgeons. 2022;27(2):180-184. https://pubmed.ncbi.nlm.nih.gov/35937109/
17. Aweidah H, Safadi K, Jotkowitz A, Chowers I, Levy J. Hybrid Telehealth Medical Retina Clinic Due to Provider Exposure and Quarantine During COVID-19 Pandemic. Clinical Ophthalmology. 2020;14:3421-3426. https://doi.org/https://doi.org/10.2147/OPTH.S276276
18. Damico N, Deshane A, Kharouta M, Wu A, Wang GM, Machtay M, Kumar A, Choi S. Telemedicine Use and Satisfaction Among Radiation Oncologists During the COVID-19 Pandemic: Evaluation of Current Trends and Future Opportunities. Advances in Radiation Oncology. 2022;7(2). https://doi.org/10.1016/j.adro.2021.100835
19. Hirth M, Hahn J, Jamwal,R. Exploring the patient experience of telehealth hand therapy services during the COVID-19 pandemic. Journal of Hand Therapy. 2022; 36(3): 606-61 https://doi.org/10.1016/j.jht.2022.07.004
20. Imai C, Thomas J, Hardie R, Pearce C, Badrick T, Georgiou, A. Telehealth use in patients with type 2 diabetes in Australian general practice during the COVID-19 pandemic: a retrospective cohort study. BJGP Open. 2022;6(3). https://doi.org/10.3399/BJGPO.2021.0200
21. Kulchar R, Chen K, Moon C, Srinivas S. Gupta A. Telemedicine, safe medication stewardship, and COVID-19: Digital transformation during a global pandemic. Journal of Interprofessional Education and Practice. 2022;29(May):100524. https://doi.org/10.1016/j.xjep.2022.100524
22. Rangappa P, Rao K, Chandra T, Karanth S, Chacko J. Tele ‑ Medicine , Tele ‑ Rounds , and Tele ‑ Intensive Care Unit in the COVID ‑ 19 Pandemic. Indian Journal of Medical Specialities. 2021;12(1):4-10, https://pesquisa.bvsalud.org/global-literature-on-novel-coronavirus-2019-ncov/resource/pt/covidwho-1100246
23. Stout M, Van De Ven C, Parekh V, Pardo J, Garifullin M, Fenner D, Smith R. Use of Electronic Medical Records to Estimate Changes in Pregnancy and Birth Rates during the COVID-19 Pandemic. JAMA Network Open. 2021;4(6). https://doi.org/10.1001/jamanetworkopen.2021.11621
24. Varhol R, Randall S, Boyd J, Robinson S. Australian general practitioner perceptions to sharing clinical data for secondary use: a mixed method approach. BMC Primary Care. 2022;23(1):1-11. https://doi.org/10.1186/s12875-022-01759-y
25. Arabi Y, Al Ghamdi A, Al-Moamary M, Al Mutrafy A, Al Hazme R, Al Knawy B. Electronic medical record implementation in a large healthcare system from a leadership perspective. BMC Medical Informatics and Decision Making. 2022; 22(1):1-11. https://doi.org/10.1186/s12911-022-01801-0
26. Barbazza E, Allin S, Byrnes M, Foebel A, Khan T, Sidhom, P, Klazinga N, Kringos D. The current and potential uses of Electronic Medical Record (EMR) data for primary health care performance measurement in the Canadian context: a qualitative analysis. BMC Health Services Research. 2021;21(1). https://doi.org/10.1186/s12913-021-06851-0
27. Takeshita K, Takao H, Imoto S, Murayama Y. Improvement of the Japanese healthcare data system for the effective management of patients with COVID-19: A national survey. International Journal of Medical Informatics. 2022;162. https://doi.org/10.1016/j.ijmedinf.2022.104752
28. Walker J, Grint D, Strongman H, Eggo R, Peppa M, et al. Prevalence of underlying conditions which increase the risk of severe COVID-19 disease: a point prevalence study using electronic health records. BMC Public Health. 2021;21(1):1-15. https://doi.org/10.1186/s12889-021-10427-2
29. Bauer-Staeb C, Davis A, Smith T, Wilsher W, Betts D, Eldridge C, Griffith E, Faraway J. The early impact of COVID-19 on primary care psychological therapy services: A descriptive time series of electronic healthcare records. eClinical Medicine. 2021;37. https://doi.org/10.1016/j.eclinm.2021.100939
30. Boumezbeur I, Zarour K. Blockchain-Based Electronic Health Records Sharing Scheme with Data Privacy Verifiable. Applied Medical Informatics. 2021;43(4): 124-135. https://ami.info.umfcluj.ro/index.php/AMI/article/view/820
31. Aiken A, Starling J, Gomperts,R, Scott J, Aiken C. Demand for self-managed online telemedicine abortion in eight European countries during the COVID-19 pandemic: A regression discontinuity analysis. BMJ Sexual and Reproductive Health. 2021; 47(4):238–245. https://doi.org/10.1136/bmjsrh-2020-200880
32. Alharbi N, AlGhanmi A, Fahlevi M. Adoption of Health Mobile Apps during the COVID-19 Lockdown: A Health Belief Model Approach. International Journal of Environmental Research and Public Health. 2022;19(7). https://doi.org/10.3390/ijerph19074179
33. Aydin G, Silahtaroglu G. Insights into mobile health application market via a content analysis of marketplace data with machine learning. PLoS ONE. 2021;16(1):1-23. https://doi.org/10.1371/journal.pone.0244302
34. Alanzi T. A review of mobile applications available in the app and google play stores used during the COVID-19 outbreak. Journal of Multidisciplinary Healthcare, 2021;14:45-57. https://doi.org/10.2147/JMDH.S285014
35. Banskota S, Healy M, Goldberg E. Smartphone apps for older adults to use while in isolation during the COVID-19 pandemic. Western Journal of Emergency Medicine. 2020;21(3):514-525. https://doi.org/10.5811/westjem.2020.4.47372
36. Davalbhakta S, Advani S, Kumar S, Agarwal V, Bhoyar S, et al. A Systematic Review of Smartphone Applications Available for Corona Virus Disease 2019 (COVID19) and the Assessment of their Quality Using the Mobile Application Rating Scale (MARS). Journal of Medical Systems. 2020;44(9). https://doi.org/10.1007/s10916-020-01633-3
37. Seo D, Park Y, Lee Y, Kim J, Park J, Lee J. The use of mobile personal health records for hemoglobin A1c regulation in patients with diabetes: Retrospective observational study. Journal of Medical Internet Research. 2020;22(6). https://doi.org/10.2196/15372
38. Rosewell A, Shearman P, Ramamurthy S, Akers R. Transforming the health information system using mobile and geographic information technologies, Papua New Guinea. Bulletin of the World Health Organization. 2021;99(5):381-387. https://doi.org/10.2471/BLT.20.267823
39. Li W, Chai Y, Khan F, Jan S, Verma S, Menon V, Kavita Li X. A Comprehensive Survey on Machine Learning-Based Big Data Analytics for IoT-Enabled Smart Healthcare System. Mobile Networks and Applications. 2021;26(1):234-252. https://doi.org/10.1007/s11036-020-01700-6
40. Mangono T, Smittenaar P, Caplan Y, Huang V, Sutermaste, S, Kemp H,Sgaier S. (2021). Information-seeking patterns during the COVID-19 pandemic across the United States: Longitudinal analysis of Google trends data. Journal of Medical Internet Research. 2021;23(5):1-16. https://doi.org/10.2196/22933
41. Nishimwe A, Ruranga C, Musanabaganwa C, Mugeni R, Semakula M, et al. Leveraging artificial intelligence and data science techniques in harmonizing, sharing, accessing and analyzing SARS-COV-2/COVID-19 data in Rwanda (LAISDAR Project): study design and rationale. BMC Medical Informatics and Decision Making. 2022;22(1):1-9. https://doi.org/10.1186/s12911-022-01965-9
42. Rahayu R. Bringing Artificial Intelligent to Jakarta Monitoring COVID-19 Outbreak. IOP Conference Series. Earth and Environmental Science. 2021;717(1). https://doi.org/https://doi.org/10.1088/1755-1315/717/1/012011
43. Pal M, Parija S, Mohapatra R, Mishra S, Rabaan A, Al Mutair A, Alhumaid S, Dhama K. Symptom-Based COVID-19 Prognosis through AI-Based IoT: A Bioinformatics Approach. BioMed Research International. 2022. 2022. https://doi.org/10.1155/2022/3113119
Published
Issue
Section
License
Copyright (c) 2024 Jorge Alcides Loayza-Effio, Yolanda Josefina Huayta-Franco, Willian Sebastian Flores-Sotelo (Author)
This work is licensed under a Creative Commons Attribution 4.0 International License.
The article is distributed under the Creative Commons Attribution 4.0 License. Unless otherwise stated, associated published material is distributed under the same licence.