Telemedicine and mHealth Applications for Health Monitoring in Rural Communities in Colombia: A Systematic Review

Verenice Sánchez Castillo; Carlos Alberto Gómez Cano; Javier Gonzalez-Argote

doi:10.4108/eetpht.9.3400

Authors

Verenice Sánchez Castillo University of the Amazon https://orcid.org/0000-0003-0425-7201
Carlos Alberto Gómez Cano Corporación Unificada Nacional de Educación Superior https://orcid.org/0000-0002-3669-3123
Javier Gonzalez-Argote Pro-Metrics https://orcid.org/0000-0003-0257-1176

DOI:

https://doi.org/10.4108/eetpht.9.3400

Keywords:

Telemedicine, eHealth, mHealth, Colombia, Healthcare, Community Health

Abstract

INTRODUCTION: Telemedicine and mHealth applications constitute a central pillar in the digital transformation of healthcare.

OBJECTIVE: To describe the efficacy, applicability, and impact of telemedicine and mHealth applications on the monitoring and improvement of health in rural communities in Colombia.

METHODS: This research was carried out as a systematic review, a type of study that allows for a thorough and replicable evaluation of the existing literature in the databases PubMed, Scopus, Embase, Web of Science, Cochrane Library, CINAHL, and ERIC.

RESULTS: A total of 14 studies were included, which encompassed different types of research designs: two case-control studies, two randomized trials, four cross-sectional studies, two qualitative investigations, one consensus study, one retrospective cohort study, and two reviews. The sample size varied significantly among the studies, from 16 participants in the consensus study to 313,897 patients in one of the cross-sectional studies.

CONCLUSIONS: Telemedicine and mHealth applications are transforming the way medical care is delivered to rural communities in Colombia. These tools have proven to be valuable in improving the detection and management of chronic diseases such as cognitive decline and cardiovascular diseases. At the same time, the implementation of these technologies has shown to be effective in improving the quality of medical care, providing greater access to specialized medical services, and reducing the sense of isolation among health professionals in rural areas.

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References

. Helsel BC, Williams JE, Lawson K, Liang J, Markowitz J. Telemedicine and Mobile Health Technology Are Effective in the Management of Digestive Diseases: A Systematic Review. Dig Dis Sci 2018;63:1392–408. https://doi.org/10.1007/s10620-018-5054-z. DOI: https://doi.org/10.1007/s10620-018-5054-z

. Villanueva JA, Suarez MC, Garmendia O, Lugo V, Ruiz C, Montserrat JM. The role of telemedicine and mobile health in the monitoring of sleep-breathing disorders: improving patient outcomes. Smart Homecare Technology and TeleHealth 2017;4:1–11. https://doi.org/10.2147/SHTT.S108048. DOI: https://doi.org/10.2147/SHTT.S108048

. Crico C, Renzi C, Graf N, Buyx A, Kondylakis H, Koumakis L, et al. mHealth and telemedicine apps: in search of a common regulation. Ecancermedicalscience 2018;12:853. https://doi.org/10.3332/ecancer.2018.853. DOI: https://doi.org/10.3332/ecancer.2018.853

. Sánchez CMC, León LAG, Yanes RCA, Oloriz MAG. Metaverse: the future of medicine in a virtual world. Metaverse Basic and Applied Research 2022;1:4. https://doi.org/10.56294/mr20224. DOI: https://doi.org/10.56294/mr20224

. Copa SB. Gestión del cuidado integral del niño visto desde el liderazgo de enfermería en la referencia y contrarreferencia de una red de servicios. Salud, Ciencia y Tecnología 2021;1:38–38. https://doi.org/10.56294/saludcyt202138. DOI: https://doi.org/10.56294/saludcyt202138

. Guerrero APS, Balon R, Beresin EV, Louie AK, Coverdale JH, Brenner A, et al. Rural Mental Health Training: an Emerging Imperative to Address Health Disparities. Acad Psychiatry 2019;43:1–5. https://doi.org/10.1007/s40596-018-1012-5. DOI: https://doi.org/10.1007/s40596-018-1012-5

. Jensen EJ, Mendenhall T. Call to Action: Family Therapy and Rural Mental Health. Contemp Fam Ther 2018;40:309–17. https://doi.org/10.1007/s10591-018-9460-3. DOI: https://doi.org/10.1007/s10591-018-9460-3

. Leider JP, Meit M, McCullough JM, Resnick B, Dekker D, Alfonso YN, et al. The State of Rural Public Health: Enduring Needs in a New Decade. Am J Public Health 2020;110:1283–90. https://doi.org/10.2105/AJPH.2020.305728. DOI: https://doi.org/10.2105/AJPH.2020.305728

. Sembay MJ, Macedo DDJ de. Health information systems: proposal of a provenance data management method in the instantiation of the W3C PROV-DM model. Advanced Notes in Information Science, vol. 2, Tallinn, Estonia: ColNes Publishing; 2022. DOI: https://doi.org/10.47909/anis.978-9916-9760-3-6.101

. Pelaez IFF. Patient Identification in the Prevention of Errors and Adverse Events: A Systematic Review. Data & Metadata 2022;1:11–11. https://doi.org/10.56294/dm202211. DOI: https://doi.org/10.56294/dm202211

. Tiwari P, Chaudhary S, Majhi D, Mukherjee B. Comparing research trends through author-provided keywords with machine extracted terms: A ML algorithm approach using publications data on neurological disorders. Iberoamerican Journal of Science Measurement and Communication 2023;3. https://doi.org/10.47909/ijsmc.36. DOI: https://doi.org/10.47909/ijsmc.36

. Farias FAC de, Dagostini CM, Bicca Y de A, Falavigna VF, Falavigna A. Remote Patient Monitoring: A Systematic Review. Telemed J E Health 2020;26:576–83. https://doi.org/10.1089/tmj.2019.0066. DOI: https://doi.org/10.1089/tmj.2019.0066

. Kappi M, Biradar BS. Quantifying the influence of Indian optics research: An index based on three citation indicators. Iberoamerican Journal of Science Measurement and Communication 2023;3. https://doi.org/10.47909/ijsmc.39. DOI: https://doi.org/10.47909/ijsmc.39

. Buvik A, Bergmo TS, Bugge E, Smaabrekke A, Wilsgaard T, Olsen JA. Cost-Effectiveness of Telemedicine in Remote Orthopedic Consultations: Randomized Controlled Trial. J Med Internet Res 2019;21:e11330. https://doi.org/10.2196/11330. DOI: https://doi.org/10.2196/11330

. Machín AYB, Bravo YLG. Educación comunitaria para un envejecimiento activo: experiencia en construcción desde el autodesarrollo. Región Científica 2022;1:202212–202212. https://doi.org/10.58763/rc202213. DOI: https://doi.org/10.58763/rc202213

. Almathami HKY, Win KT, Vlahu-Gjorgievska E. Barriers and Facilitators That Influence Telemedicine-Based, Real-Time, Online Consultation at Patients’ Homes: Systematic Literature Review. J Med Internet Res 2020;22:e16407. https://doi.org/10.2196/16407. DOI: https://doi.org/10.2196/16407

. Mejías M, Coronado YCG, Peralta ALJ. Inteligencia artificial en el campo de la enfermería. Implicaciones en la asistencia, administración y educación. Salud, Ciencia y Tecnología 2022;2:88. https://doi.org/10.56294/saludcyt202288. DOI: https://doi.org/10.56294/saludcyt202288

. Molina JM, Auza-Santivañez JC, Cruz-Choquetopa E, Antezana-Muñoz JB, Iriarte OA, Fernández-Burgoa H. Early prediction of acute kidney injury in neurocritical patients: relevance of renal resistance index and intrarenal venous Doppler as diagnostic tools. Data & Metadata 2023;2:30–30. https://doi.org/10.56294/dm202330. DOI: https://doi.org/10.56294/dm202330

. Ram S, Sharma H, Rai AK. Mucormycosis Research: A global outlook through bibliometric approaches. Iberoamerican Journal of Science Measurement and Communication 2023;3. https://doi.org/10.47909/ijsmc.38. DOI: https://doi.org/10.47909/ijsmc.38

. Groom LL, McCarthy MM, Stimpfel AW, Brody AA. Telemedicine and Telehealth in Nursing Homes: An Integrative Review. J Am Med Dir Assoc 2021;22:1784-1801.e7. https://doi.org/10.1016/j.jamda.2021.02.037. DOI: https://doi.org/10.1016/j.jamda.2021.02.037

. Ibarra EM. Conocimiento, práctica y percepción sobre tele-enfermería en Argentina. Salud, Ciencia y Tecnología 2021;1:33–33. https://doi.org/10.56294/saludcyt202133. DOI: https://doi.org/10.56294/saludcyt202133

. Aguirre JIP, Marsollier R, Vecino J. Teaching Burnout: a conceptual cartographic review. AWARI 2020;1:e021. https://doi.org/10.47909/awari.82. DOI: https://doi.org/10.47909/awari.82

. Prada M del CM, Condori-Villca N, Garcia FG, García CAR, Morales MÁM, Auza-Santiváñez JC, et al. Chronic kidney disease and its risk stratification in Cuba. Data & Metadata 2023;2:49–49. https://doi.org/10.56294/dm202349. DOI: https://doi.org/10.56294/dm202349

. Bokolo Anthony Jnr null. Use of Telemedicine and Virtual Care for Remote Treatment in Response to COVID-19 Pandemic. J Med Syst 2020;44:132. https://doi.org/10.1007/s10916-020-01596-5. DOI: https://doi.org/10.1007/s10916-020-01596-5

. Grover S, Gupta BM, Ahmed KKM, Kappi M. A scientometric research of high-cited publications in Obsessive-Compulsive Disorders during 2012-2021. Iberoamerican Journal of Science Measurement and Communication 2022;2. https://doi.org/10.47909/ijsmc.171. DOI: https://doi.org/10.47909/ijsmc.171

. Andrade JMM. Estrategias resilientes y mecanismos de las organizaciones para mitigar los efectos ocasionados por la pandemia a nivel internacional. Región Científica 2022;1:202211. https://doi.org/10.58763/rc202211. DOI: https://doi.org/10.58763/rc202211

. Rodríguez RMF, Matos GR, Muñoz EEC. Explorando los vínculos entre factores tóxico-ambientales y hemopatías malignas: consideraciones para la toma de decisiones en salud basadas en datos. Data & Metadata 2023;2:39–39. https://doi.org/10.56294/dm202339. DOI: https://doi.org/10.56294/dm202339

. Scott Kruse C, Karem P, Shifflett K, Vegi L, Ravi K, Brooks M. Evaluating barriers to adopting telemedicine worldwide: A systematic review. J Telemed Telecare 2018;24:4–12. https://doi.org/10.1177/1357633X16674087. DOI: https://doi.org/10.1177/1357633X16674087

. Muñoz EEC, Fajardo-Quesada AJ, Vidal-Díaz K, Reyes-Domínguez N. Toma de decisiones basadas en datos para mejorar el diagnóstico de pacientes con cáncer en la provincia de Guantánamo: un estudio de caso del comportamiento epidemiológico durante el año 2019. Data & Metadata 2023;2:33–33. https://doi.org/10.56294/dm202333. DOI: https://doi.org/10.56294/dm202333

. Furlepa K, Tenderenda A, Kozłowski R, Marczak M, Wierzba W, Śliwczyński A. Recommendations for the Development of Telemedicine in Poland Based on the Analysis of Barriers and Selected Telemedicine Solutions. International Journal of Environmental Research and Public Health 2022;19:1221. https://doi.org/10.3390/ijerph19031221. DOI: https://doi.org/10.3390/ijerph19031221

. Díaz-Chieng LY, Auza-Santiváñez JC, Castillo JIR. The future of health in the metaverse. Metaverse Basic and Applied Research 2022;1:1. https://doi.org/10.56294/mr20221. DOI: https://doi.org/10.56294/mr20221

. Júnior EM da S, Dutra ML. A roadmap toward the automatic composition of systematic literature reviews. Iberoamerican Journal of Science Measurement and Communication 2021;1:1–22. https://doi.org/10.47909/ijsmc.52. DOI: https://doi.org/10.47909/ijsmc.52

. Caldichoury N, Soto-Añari M, Camargo L, Porto MF, Herrera-Pino J, Shelach S, et al. Clinical utility of Phototest via teleneuropsychology in Chilean rural older adults. Dement Neuropsychol 2022;16:316–23. https://doi.org/10.1590/1980-5764-DN-2021-0082. DOI: https://doi.org/10.1590/1980-5764-dn-2021-0082

. Castillo M, Alexander N, Rubiano L, Rojas C, Navarro A, Rincon D, et al. Randomized trial evaluating an mHealth intervention for the early community-based detection and follow-up of cutaneous leishmaniasis in rural Colombia. PLoS Negl Trop Dis 2023;17:e0011180. https://doi.org/10.1371/journal.pntd.0011180. DOI: https://doi.org/10.1371/journal.pntd.0011180

. Cifuentes LF. Mobile Diagnostic Units for Rural Patients in Colombia. Telemed J E Health 2017;23:934–7. https://doi.org/10.1089/tmj.2016.0256. DOI: https://doi.org/10.1089/tmj.2016.0256

. Diaz JC, Cañas F, Duque M, Aristizabal J, Niño C, Bastidas O, et al. Assisted reality device to guide cardiac implantable device programming in distant rural areas. J Cardiovasc Electrophysiol 2023;34:497–501. https://doi.org/10.1111/jce.15815. DOI: https://doi.org/10.1111/jce.15815

. López C, Valenzuela JI, Calderón JE, Velasco AF, Fajardo R. A telephone survey of patient satisfaction with realtime telemedicine in a rural community in Colombia. J Telemed Telecare 2011;17:83–7. https://doi.org/10.1258/jtt.2010.100611. DOI: https://doi.org/10.1258/jtt.2010.100611

. Mehta S, Aboushi H, Campos C, Botelho R, Fernandez F, Rodriguez D, et al. Impact of a telemedicine-guided, population-based, STEMI network on reperfusion strategy, efficiency, and outcomes: Impact of telemedicine on STEMI management. AsiaIntervention 2021;7:18–26. https://doi.org/10.4244/AIJ-D-18-00047. DOI: https://doi.org/10.4244/AIJ-D-18-00047

. Puerta Aponte GA, Ramírez López LJ, Rodriguez Garcia AB. Analysis of Colombia’s Telemedicine Development, the Postconflict Potential Opportunity. Telemed J E Health 2020;26:24–33. https://doi.org/10.1089/tmj.2018.0317. DOI: https://doi.org/10.1089/tmj.2018.0317

. Rahman A, Naslund JA, Betancourt TS, Black CJ, Bhan A, Byansi W, et al. The NIMH global mental health research community and COVID-19. Lancet Psychiatry 2020;7:834–6. https://doi.org/10.1016/S2215-0366(20)30347-3. DOI: https://doi.org/10.1016/S2215-0366(20)30347-3

. Ramalho R, Adiukwu F, Gashi Bytyçi D, El Hayek S, Gonzalez-Diaz JM, Larnaout A, et al. Telepsychiatry During the COVID-19 Pandemic: Development of a Protocol for Telemental Health Care. Front Psychiatry 2020;11:552450. https://doi.org/10.3389/fpsyt.2020.552450. DOI: https://doi.org/10.3389/fpsyt.2020.552450

. Rendón A, Martínez A, Dulcey MF, Seoane J, Shoemaker RG, Villarroel V, et al. Rural telemedicine infrastructure and services in the Department of Cauca, Colombia. Telemed J E Health 2005;11:451–9. https://doi.org/10.1089/tmj.2005.11.451. DOI: https://doi.org/10.1089/tmj.2005.11.451

. Restrepo JG, Alarcón J, Hernández A, Sangiovanni S, González S, Gallego K, et al. Clinical outcomes in patients with solid tumors living in rural and urban areas followed via telemedicine: experience in a highly complex latin american hospital. BMC Cancer 2023;23:253. https://doi.org/10.1186/s12885-023-10717-5. DOI: https://doi.org/10.1186/s12885-023-10717-5

. Saigí-Rubió F, Torrent-Sellens J, Jiménez-Zarco A. Drivers of telemedicine use: comparative evidence from samples of Spanish, Colombian and Bolivian physicians. Implement Sci 2014;9:128. https://doi.org/10.1186/s13012-014-0128-6. DOI: https://doi.org/10.1186/s13012-014-0128-6

. Sánchez-Cárdenas MA, Iriarte-Aristizábal MF, León-Delgado MX, Rodríguez-Campos LF, Correa-Morales JE, Cañón-Piñeros A, et al. Rural Palliative Care Telemedicine for Advanced Cancer Patients: A Systematic Review. Am J Hosp Palliat Care 2022:10499091221130328. https://doi.org/10.1177/10499091221130329. DOI: https://doi.org/10.1177/10499091221130329

. Tsou C, Robinson S, Boyd J, Jamieson A, Blakeman R, Yeung J, et al. Effectiveness of Telehealth in Rural and Remote Emergency Departments: Systematic Review. Journal of Medical Internet Research 2021;23:e30632. https://doi.org/10.2196/30632. DOI: https://doi.org/10.2196/30632

. Martínez MJS. Construir nuevos espacios sostenibles respetando la diversidad cultural desde el nivel local. Región Científica 2022;1:20222–20222. https://doi.org/10.58763/rc20222. DOI: https://doi.org/10.55204/rc.v1i1.24

. Chanes DV, Rivera PN. The importance of social ties in obtaining employment. AWARI 2022;3. https://doi.org/10.47909/awari.155. DOI: https://doi.org/10.47909/awari.155

. Kohler JE, Falcone RA, Fallat ME. Rural health, telemedicine and access for pediatric surgery. Curr Opin Pediatr 2019;31:391–8. https://doi.org/10.1097/MOP.0000000000000763. DOI: https://doi.org/10.1097/MOP.0000000000000763

. Mascarenhas HAD, Dias TMR. Academic education data as a source for analysis of the migration process for training. Advanced Notes in Information Science 2022;2:53–62. https://doi.org/10.47909/anis.978-9916-9760-3-6.91. DOI: https://doi.org/10.47909/anis.978-9916-9760-3-6.91

. Moncada JAR, Torres ER, Reyes JRZ. Estrategias recreativas para suplir las carencias de niños y jóvenes en situaciones de la Covid-19 en el municipio Morón (Cuba). Región Científica 2023;2:202328. https://doi.org/10.58763/rc202328. DOI: https://doi.org/10.58763/rc202328

. Omboni S, Padwal RS, Alessa T, Benczúr B, Green BB, Hubbard I, et al. The worldwide impact of telemedicine during COVID-19: current evidence and recommendations for the future. Connect Health 2022;1:7–35. https://doi.org/10.20517/ch.2021.03. DOI: https://doi.org/10.20517/ch.2021.03

. Arencibia-Jorge R, García-García L, Galban-Rodriguez E, Carrillo-Calvet H. The multidisciplinary nature of COVID-19 research. Iberoamerican Journal of Science Measurement and Communication 2021;1:003–003. https://doi.org/10.47909/ijsmc.13. DOI: https://doi.org/10.47909/ijsmc.13

. Galiero R, Pafundi PC, Nevola R, Rinaldi L, Acierno C, Caturano A, et al. The Importance of Telemedicine during COVID-19 Pandemic: A Focus on Diabetic Retinopathy. Journal of Diabetes Research 2020;2020:e9036847. https://doi.org/10.1155/2020/9036847. DOI: https://doi.org/10.1155/2020/9036847

. Valle MB, Salcedo DN. Factores de riesgo e impacto psicológico en adolescentes de alta vulnerabilidad, durante confinamiento por COVID-19. Salud, Ciencia y Tecnología 2022;2:135–135. https://doi.org/10.56294/saludcyt2022135. DOI: https://doi.org/10.56294/saludcyt2022135

. Bahl S, Singh RP, Javaid M, Khan IH, Vaishya R, Suman R. Telemedicine Technologies for Confronting COVID-19 Pandemic: A Review. J Ind Intg Mgmt 2020;05:547–61. https://doi.org/10.1142/S2424862220300057. DOI: https://doi.org/10.1142/S2424862220300057

. Portnoy J, Waller M, Elliott T. Telemedicine in the Era of COVID-19. The Journal of Allergy and Clinical Immunology: In Practice 2020;8:1489–91. https://doi.org/10.1016/j.jaip.2020.03.008. DOI: https://doi.org/10.1016/j.jaip.2020.03.008

. Andrade-Girón D, Carreño-Cisneros E, Mejía-Dominguez C, Marín-Rodriguez W, Villarreal-Torres H. Comparación de Algoritmos Machine Learning para la Predicción de Pacientes con Sospecha de COVID-19. Salud, Ciencia y Tecnología 2023;3:336–336. https://doi.org/10.56294/saludcyt2023336. DOI: https://doi.org/10.56294/saludcyt2023336

. Butti M, Menazzi S, Fernández F, Correa J, Grzona E. Host genetic markers associated with severe COVID-19: A systematic review. Interamerican Journal of Health Sciences 2021. https://doi.org/10.59471/ijhsc202144. DOI: https://doi.org/10.59471/ijhsc202144

. Gutiérrez E, Larrosa JMC. Digital networks, social capital, and poverty. An analysis for the city of Bahía Blanca. AWARI 2022;3. https://doi.org/10.47909/awari.154. DOI: https://doi.org/10.47909/awari.154

. Sousa RPM de, Shintaku M. Data privacy policy: relevant observations for its implementation. Advanced Notes in Information Science 2022;2:82–91. https://doi.org/10.47909/anis.978-9916-9760-3-6.112. DOI: https://doi.org/10.47909/anis.978-9916-9760-3-6.112

. Tumiri T, Duran L, Lin J, Ríos NB, Mosca A, Gómez T. La Imagen de enfermería y simulación. Metaverse Basic and Applied Research 2023;2:36–36. https://doi.org/10.56294/mr202336. DOI: https://doi.org/10.56294/mr202336

. Nguyen M, Waller M, Pandya A, Portnoy J. A Review of Patient and Provider Satisfaction with Telemedicine. Curr Allergy Asthma Rep 2020;20:72. https://doi.org/10.1007/s11882-020-00969-7. DOI: https://doi.org/10.1007/s11882-020-00969-7

. Zhang W. Blockchain-based solutions for clinical trial data management: a systematic review. Metaverse Basic and Applied Research 2022;1:17. https://doi.org/10.56294/mr202217. DOI: https://doi.org/10.56294/mr202217

. Rosales NKG, Celaya-Padilla JM, Galván-Tejada CE, Galván-Tejada JI, Luna-García H, Gamboa-Rosales H, et al. Infotainment systems: Current status and future research perspectives toward 5G technologies. Iberoamerican Journal of Science Measurement and Communication 2022;2. https://doi.org/10.47909/ijsmc.147. DOI: https://doi.org/10.47909/ijsmc.147

. Bhaskar S, Bradley S, Sakhamuri S, Moguilner S, Chattu VK, Pandya S, et al. Designing Futuristic Telemedicine Using Artificial Intelligence and Robotics in the COVID-19 Era. Frontiers in Public Health 2020;8. DOI: https://doi.org/10.3389/fpubh.2020.556789

. Samuel AM, Garcia-Constantino M. User-centred prototype to support wellbeing and isolation of software developers using smartwatches. Advanced Notes in Information Science 2022;1:140–51. https://doi.org/10.47909/anis.978-9916-9760-0-5.125. DOI: https://doi.org/10.47909/anis.978-9916-9760-0-5.125

. Pacis DMM, Subido EDC Jr, Bugtai NT. Trends in telemedicine utilizing artificial intelligence. AIP Conference Proceedings 2018;1933:040009. https://doi.org/10.1063/1.5023979. DOI: https://doi.org/10.1063/1.5023979

. Manocchia A. Telehealth: Enhancing Care through Technology. R I Med J (2013) 2020;103:18–20.

. Ruiz FO, Gonzálvez H, Espinosa-Rada A. Gender, care and kinships networks: Family forms in Santiago, Chile. AWARI 2022;3. https://doi.org/10.47909/awari.148. DOI: https://doi.org/10.47909/awari.148

. Aiken A, Lohr PA, Lord J, Ghosh N, Starling J. Effectiveness, safety and acceptability of no-test medical abortion (termination of pregnancy) provided via telemedicine: a national cohort study. BJOG 2021;128:1464–74. https://doi.org/10.1111/1471-0528.16668. DOI: https://doi.org/10.1111/1471-0528.16668

. Batsis JA, DiMilia PR, Seo LM, Fortuna KL, Kennedy MA, Blunt HB, et al. Effectiveness of Ambulatory Telemedicine Care in Older Adults: A Systematic Review. J Am Geriatr Soc 2019;67:1737–49. https://doi.org/10.1111/jgs.15959. DOI: https://doi.org/10.1111/jgs.15959

. Chavarro YAH, Zamudio JCM, Castillo VS. Sistematización de la experiencia de circuito corto de comercialización estudio de caso Tibasosa, Boyacá. Región Científica 2022;1:20228–20228. https://doi.org/10.58763/rc20228. DOI: https://doi.org/10.55204/rc.v1i1.29

. Soto IBR, Leon NSS. How artificial intelligence will shape the future of metaverse. A qualitative perspective. Metaverse Basic and Applied Research 2022;1:12–12. https://doi.org/10.56294/mr202212. DOI: https://doi.org/10.56294/mr202212

. Foster C, Schinasi D, Kan K, Macy M, Wheeler D, Curfman A. Remote Monitoring of Patient- and Family-Generated Health Data in Pediatrics. Pediatrics 2022;149:e2021054137. https://doi.org/10.1542/peds.2021-054137. DOI: https://doi.org/10.1542/peds.2021-054137

. Mohammed KI, Zaidan AA, Zaidan BB, Albahri OS, Alsalem MA, Albahri AS, et al. Real-Time Remote-Health Monitoring Systems: a Review on Patients Prioritisation for Multiple-Chronic Diseases, Taxonomy Analysis, Concerns and Solution Procedure. J Med Syst 2019;43:223. https://doi.org/10.1007/s10916-019-1362-x. DOI: https://doi.org/10.1007/s10916-019-1362-x

. Mari Z, Haubenberger D. Remote measurement and home monitoring of tremor. J Neurol Sci 2022;435:120201. https://doi.org/10.1016/j.jns.2022.120201. DOI: https://doi.org/10.1016/j.jns.2022.120201

. Chen X, Orom H, Hay JL, Waters EA, Schofield E, Li Y, et al. Differences in Rural and Urban Health Information Access and Use. J Rural Health 2019;35:405–17. https://doi.org/10.1111/jrh.12335. DOI: https://doi.org/10.1111/jrh.12335

. Mayberry LS, Lyles CR, Oldenburg B, Osborn CY, Parks M, Peek ME. mHealth Interventions for Disadvantaged and Vulnerable People with Type 2 Diabetes. Curr Diab Rep 2019;19:148. https://doi.org/10.1007/s11892-019-1280-9. DOI: https://doi.org/10.1007/s11892-019-1280-9

. Chou AF, Duncan AR, Hallford G, Kelley DM, Dean LW. Barriers and strategies to integrate medical genetics and primary care in underserved populations: a scoping review. J Community Genet 2021;12:291–309. https://doi.org/10.1007/s12687-021-00508-5. DOI: https://doi.org/10.1007/s12687-021-00508-5