Examining medical urgent and patient precedence within the telemedicine landscape with its infrastructure and policies: A comprehensive review

Geetika M. Patel; Upendra Sharma; Sudhir Kumar Gupta; M. Mohanan

doi:10.31893/multirev.2023ss017

Keywords:

Abstract

Medical facilities are confronted with grave issues, including a population that is aging and a physician shortage. In an effort to address these issues, telehealth and remote health monitoring systems (RHMS) aim to reduce hospital visits by a small amount. RHMS lessens the workload for primary care patients and enhances inter-unit communication, which lessens the strain on emergency rooms. Due to significant advancements in mobile information transfer and processing of signal technologies, some healthcare researchers have made efforts to employ RHMS in place of hospital visits to provide triage and prioritization for individuals. Prioritization is a strategy for giving people urgent medical care in an attempt to save their lives, while clinical examination determines the severity of a sickness or damage. To emphasize the disadvantages of the present patient screening and prioritization system over the telehealth environment, a crucial inquiry is needed. Based on two crucial axes, an in-depth examination of patient prioritization and medical crisis assessment in a videoconferencing setting was provided in this research. First, a collection, analysis, and classification of earlier research on triage of patients and prioritization in this kind of setting was done. Second, a variety of priorities and standards, as well as various approaches and procedures for prioritization, were provided and examined. The subsequent outcomes were attained: The shortcomings and issues with the current patient prioritization and assessment methods were highlighted. The assessment and priority for individuals who have cardiac conditions were not presented. In the years to come, a structure based on the theory of evidence, as well as the incorporation of a multiple-layer analytical hierarchy approach and method for ranking preference due to resemblance to perfect solutions, can be used to prioritize the care of several patients with ongoing cardiovascular disease by triaging them based on various emergencies dimensions.
References
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How to cite

Patel, G. M., Sharma, U., Gupta, S. K., & Mohanan, M. (2024). Examining medical urgent and patient precedence within the telemedicine landscape with its infrastructure and policies: A comprehensive review. Multidisciplinary Reviews, 6, 2023ss017. https://doi.org/10.31893/multirev.2023ss017

[1] Aijaz M, Nazir M, Mohammad & MNA (2023). Threat Modeling and Assessment Methods in the Healthcare-IT System: A Critical Review and Systematic Evaluation. SN Computer Science, 4(6), 714. DOI: 10.1007/s42979-023-02221-1

[2] Alenizi JA & Alrashdi I (2023). Neutrosophic Intelligence Approach Safeguarding Patient Data in Blockchain-based Smart Healthcare. Neutrosophic Sets and Systems. 58(1), 25.

[3] Ali M (2023). A Comprehensive Review of AI's Impact on Healthcare: Revolutionizing Diagnostics and Patient Care. BULLET: JurnalMultidisiplinIlmu, 2(4), 1163-1173.

[4] Alruwaili MA, Shahbal S, Almaliki HH, Abdullah AA, Alibrahim IM, Alshahrani FF, Alhumayri MA, Khudhayri WI, Aseri AM & Albalawi RS (2023). Emergency Preparedness And Response Capacity Of Primary Health Care Centers In Saudi Arabia; A Systematic Review Based Study. Journal of Namibian Studies: History Politics Culture, 35, 4119-4149. DOI: 10.59670/jns.v35i.4383

[5] Amjad A, Kordel P & Fernandes G (2023). A Review of Innovation in the Healthcare Sector (Telehealth) through Artificial Intelligence. Sustainability, 15(8), 6655. DOI: 10.3390/su15086655

[6] Bernal SL, Pérez MQ, Beltrán ETM, Curto MDCM, Yanakiev Y, Pérez MG & Pérez GM (2023). Opportunities for standardization in emergency scenarios in the European Union. International Journal of Medical Informatics, 179, 105232. DOI: 10.1016/j.ijmedinf.2023.105232

[7] Cheema S, Robertsson E (2023). TELEHEALTH BEYOND DISPARITIES & DIVIDES: Rural care practitioners’ adoption of telehealth: a case study.

[8] Chen PG, Heins SE & Dellva S (2023). State Medicaid Telehealth Coverage Policy Decisions Since the COVID-19 Public Health Emergency.

[9] Cousins K, Hertelendy AJ, Chen M, Durneva P & Wang S (2023). Building resilient hospital information technology services through organizational learning: Lessons in CIO leadership during an international systemic crisis in the United States and Abu Dhabi, United Arab Emirates. International Journal of Medical Informatics, 176, 105113. DOI: 10.1016/j.ijmedinf.2023.105113

[10] Faria M, Zin STP, Chestnov R, Novak AM, Lev-Ari S & Snyder M (2023). Mental Health for All: The Case for Investing in Digital Mental Health to Improve Global Outcomes, Access, and Innovation in Low-Resource Settings. Journal of Clinical Medicine, 12(21), 6735. DOI: 10.3390/jcm12216735

[11] Gajurel BP, Nepal G, Jaiswal V, Ang SP, Nain P, Shama N, Ruchika FNU, Bohara S, Kharel S, Yadav JK & Medina JRT (2023). Utilization rates of intravenous thrombolysis for acute ischemic stroke in Asian countries: A systematic review and meta-analysis. Medicine, 102(42), e35560.

[12] George AS (2023). Addressing India's Healthcare Worker Shortage: Evaluating Strategies to Improve Medical Education and Retention. Partners Universal International Research Journal, 2(3), 171-182. DOI: 10.5281/zenodo.8370878

[13] HamoodAlsamhi S, Hawbani A, Shvetsov AV & Kumar S (2023). Advancing Pandemic Preparedness in Healthcare 5.0: A Survey of Federated Learning Applications. Advances in Human-Computer Interaction. DOI: 10.1155/2023/9992393

[14] Higgs E, Wain KE, Wynn J, Cho MT, Higgins S, Blaisdell D, Dugan D, Valek S & Cohen S, (2023). Measuring quality and value in genetic counseling: The current landscape and future directions. Journal of Genetic Counseling, 32(2), 315-324. DOI: 10.1002/jgc4.1657

[15] Hoffman LC (2022). Reconnecting the Patient: Why Telehealth Policy Solutions Must Consider the Deepening Digital Divide. JL & Health, 36, 1.

[16] Holmgren AJ, Esdar M, Hüsers J & Coutinho-Almeida J (2023). Health Information Exchange: Understanding the Policy Landscape and Future of Data Interoperability. Yearbook of Medical Informatics.

[17] Iqbal J, Jaimes DCC, Makineni P, Subramani S, Hemaida S, Thugu TR, Butt AN, Sikto JT, Kaur P, Lak MA & Augustine M (2023). Reimagining healthcare: unleashing the power of artificial intelligence in medicine. Cureus. 15(9). DOI: 10.7759/cureus.44658

[18] Isgrò S, Giani M, Antolini L, Giudici R, Valsecchi MG, Bellani G, Chiara O, Bassi G, Latronico N, Cabrini L & Fumagalli R (2023). Identifying Trauma Patients in Need for Emergency Surgery in the Prehospital Setting: The Prehospital Prediction of In-Hospital Emergency Treatment (PROPHET) Study. Journal of Clinical Medicine, 12(20), 6660. DOI: 10.3390/jcm12206660

[19] Jerry-Egemba N (2023). September. Safe and sound: Strengthening cybersecurity in healthcare through robust staff educational programs. In Healthcare Management Forum (p. 08404704231194577). Sage CA: Los Angeles, CA: SAGE Publications. DOI: 10.1177/08404704231194577

[20] Jones E & Cross-Barnet C (2023). Telehealth as a Tool to Transform Pediatric Care: Views from Stakeholders. Telemedicine and e-Health. DOI: 10.1089/tmj.2022.0496

[21] Kalpaeva Z, Rodionova E & Dominiak V (2023). The role of smart cities in countering health threats: A review of practices. In E3S Web of Conferences. EDP Sciences, 435, 05005. DOI: 10.1051/e3sconf/202343505005

[22] Kalu N (2022). The Use of Health Technology in Emerging Markets: China Telemedicine Market Analysis (Doctoral dissertation, University of Pittsburgh).

[23] Kaplan B (2020). Revisiting health information technology ethical, legal, and social issues and evaluation: telehealth/telemedicine and COVID-19. International journal of medical informatics, 143, 104239.

[24] Lakshminarayanan V, Ravikumar A, Sriraman H, Alla S & Chattu VK (2023). Health Care Equity Through Intelligent Edge Computing and Augmented Reality/Virtual Reality: A Systematic Review. Journal of Multidisciplinary Healthcare, 2839, 2859. 10.2147/JMDH.S419923

[25] Lampropoulos K, Zarras A, Lakka E, Barmpaki P, Drakonakis K, Athanatos M, Debar H, Alexopoulos A, Sotiropoulos A & Tsakirakis G Dimakopoulos N (2023). White paper on cybersecurity in the healthcare sector. The HEIR solution, arXiv preprint arXiv:2310:10139. DOI: 10.48550/arXiv.2310.10139

[26] Meghrajani VR, Marathe M, Sharma R, Potdukhe A, Wanjari MB, Taksande AB, Meghrajani Jr VR & Wanjari M (2023). A Comprehensive Analysis of Mental Health Problems in India and the Role of Mental Asylums. Cureus, 15(7). DOI: 10.7759/cureus.42559

[27] Miranda, R, Oliveira MD, Baptista FM & Albuquerque I (2023). Telemonitoring in Portugal: where do we stand and which way forward?. Health Policy, 104761. DOI: 10.1016/j.healthpol.2023.104761

[28] Mitsi D (2023). THE IMPACT OF COVID-19 ON GOVERNMENT EXPENDITURE: A COMPREHENSIVE ANALYSIS. DOI: 10.59822/IJEBER.2023.3411

[29] Mohtar LN & Badr NG (2022). Digital Bridge or Tradeoff: Telehealth Adoption and Healthcare Service Quality. A Scoping Review. Sustainable Digital Transformation: Paving the Way Towards Smart Organizations and Societies, 253, 268. DOI: 10.1007/978-3-031-15770-7_16

[30] Motwani A, Shukla PK & Pawar M (2022). Ubiquitous and smart healthcare monitoring frameworks based on machine learning: A comprehensive review. Artificial Intelligence in Medicine. 102431. DOI: 10.1016/j.artmed.2022.102431

[31] Mumtaz H, Riaz MH, Wajid H, Saqib M, Zeeshan MH, Khan SE, Chauhan YR, Sohail H & Vohra LI (2023). Current challenges and potential solutions to the use of digital health technologies in evidence generation: a narrative review. Frontiers in Digital Health, 5, 1203945. DOI: 10.3389/fdgth.2023.1203945

[32] Muoka GW, Yi D, Ukwuoma CC, Mutale A, Ejiyi CJ, Mzee AK, Gyarteng ES, Alqahtani A & Al-antari MA (2023). A Comprehensive Review and Analysis of Deep Learning-Based Medical Image Adversarial Attack and Defense. Mathematics, 11(20), 4272. DOI: 10.3390/math11204272

[33] Niaz M, Nwagwu U (2023). Managing Healthcare Product Demand Effectively in The Post-Covid-19 Environment: Navigating Demand Variability and Forecasting Complexities. American Journal of Economic and Management Business (AJEMB), 2(8), 316-330.

[34] O'Brien N, Li E, Chaibva CN, Gomez Bravo R, Kovacevic L, Kwame Ayisi-Boateng N, Lounsbury O, Nwabufo NFF, Senkyire EK, Serafini A & SurafelAbay E (2023). Strengths, Weaknesses, Opportunities, and Threats Analysis of the Use of Digital Health Technologies in Primary Health Care in the Sub-Saharan African Region: Qualitative Study. Journal of Medical Internet Research, 25, 45224. DOI: 10.2196/45224

[35] Olatunji G, Isarinade TD, Emmanuel K, Olatunji D, Aderinto N (2023). Exploring the transformative role of drone technology in advancing healthcare delivery in Africa; a perspective. Annals of Medicine and Surgery, 85(10), 5279-5284.

[36] Palozzi G & Ranalli F (2023). Telemedicine Implementation Between Innovation and Sustainability: An Operating Model for Designing Patient-Centered Healthcare. In Human-Centered Service Design for Healthcare Transformation: Development, Innovation, Change Cham: Springer International Publishing. 375:399. DOI: 10.1007/978-3-031-20168-4_21

[37] Qi Ta AJ, Chua WL, McKenna L, Chin Tan LL, Lim YJ & Liaw SY (2022). Enablers and barriers to nurse-facilitated geriatric teleconsultations in nursing homes: a qualitative descriptive multi-site study. Age and Ageing, 51(12), 268. DOI: 10.1093/ageing/afac268

[38] Salman OH, Taha Z, Alsabah MQ, Hussein YS, Mohammed AS & Aal-Nouman M (2021). A review on utilizing machine learning technology in the fields of electronic emergency triage and patient priority systems in telemedicine: Coherent taxonomy, motivations, open research challenges and recommendations for intelligent future work. Computer Methods and Programs in Biomedicine, 209, 106357. DOI: 10.1016/j.cmpb.2021.106357

[39] Sanchez GV, Kabbani S, Tsay SV, Bizune D, Hersh AL, Luciano A & Hicks LA (2023). Antibiotic Stewardship in Outpatient Telemedicine: Adapting Centers for Disease Control and Prevention Core Elements to Optimize Antibiotic Use. Telemedicine and e-Health. DOI: doi.org/10.1089/tmj.2023.0229

[40] Sarkar BD, Kharde Y & Bakshi (2023). A Strategizing the online healthcare supply chain management in rural areas: A study of critical success factors. Business Strategy & Development. DOI: 10.1002/bsd2.299

[41] Soraya S, Syamanta T, Harahap HSRB, Coovadia C & Greg M (2023). Impact of the National Health Insurance Program (JKN) on Access to Public Health Services: A Comprehensive Analysis. JurnalIlmuPendidikandanHumaniora, 12(3), 180-198. DOI: 10.35335/jiph.v12i3.7

[42] Strackbein JK (2023). Exploring the deployment of autonomous medical emergency vessels in island and coastal regions: An overview of the opportunities and challenges.

[43] Tierney AA (2023). Virtual Diabetes and Hypertension Care in Community Health Centers: Use, Quality, and Patient Preferences (Doctoral dissertation, University of California, Berkeley).

[44] Van Kessel R, Roman-Urrestarazu A, Anderson M, Kyriopoulos I, Field S, Monti G, Reed SD, Pavlova M, Wharton G & Mossialos E (2023). Mapping factors that affect the uptake of digital therapeutics within health systems: scoping review. Journal of Medical Internet Research, 25, 48000. DOI: 10.2196/48000

[45] Verdeprado MD, Valenzuela J, Tan A, Dorosan M, Carandang KA & Alis C (2023). Home Health, Ehealth, and Telemedicine Policies in the Philippines and Other Regions: A Rapid Policy Review. Ehealth, and Telemedicine Policies in the Philippines and Other Regions: A Rapid Policy Review (February 15, 2023). DOI: 10.2139/ssrn.4389183

[46] Ward MJ, Hwang U, Hastings SN, Timko C, Chen JI, Vashi AA, Mattocks K, Abel EA & Bravata DM (2023). Research and policy recommendations from the SOTA XVI: State of the Art Conference on VA Emergency Medicine. Academic Emergency Medicine, 30(4), 240-251. DOI: doi.org/10.1111/acem.14679

[47] Whitsel LP, Ajenikoko F, Chase PJ, Johnson J, McSwain B, Phelps M, Radcliffe R & Faghy MA (2023). Public policy for healthy living: How COVID-19 has changed the landscape. Progress in Cardiovascular Diseases. DOI: 10.1016/j.pcad.2023.01.002

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