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Analysis of skin health management through telemedicine and mobile health in dermatology in the post-COVID era

Year 2024, EARLY ONLINE, 1 - 10
https://doi.org/10.18621/eurj.1470960

Abstract

Mobile health has made significant strides in the field of tele-dermatology (TD) following the developments post the COVID-19 pandemic. The application of telemedicine and mobile health to dermatology holds the potential to enhance the quality of healthcare for citizens and streamline workflows in the healthcare domain, hence this subject is of great importance. This research encompasses the last three years. A comprehensive overview examining the opportunities, perspectives, and encountered challenges regarding the integration of TD with mHealth has been provided. The narrative review methodology is based on (I) conducting research via PubMed and Scopus, and (II) conducting compliance assessment using the proposed parameters. The outcome of the research indicates rapid progress in the integration of TD with mobile health during the COVID-19 pandemic. This integration has facilitated the monitoring of dermatological issues and allowed for remote specialist visits, thereby reducing face-to-face interactions. Artificial intelligence and mobile applications have empowered citizens to take a more active role in their own healthcare, which is distinct from other imaging areas where information exchange is limited only to professionals. Opportunities that TD can offer in the field of mobile health include enhancing service quality, increasing the efficiency of healthcare processes, reducing costs, and providing more accessible care. This is applicable not only to conditions like acne, vitiligo, psoriasis, and skin cancers but also to other conditions. Integration with artificial intelligence and augmented reality (AR), along with the use of wearable sensors, are expected as future developments. However, the integration of TD with mobile health brings along issues and challenges related to regulation, ethics, cybersecurity, data privacy, and device management. These issues, along with the involvement of citizens in the process, should be addressed by scientists and policymakers.

References

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  • 2. Daungsupawong H, Wiwanitkit V. Revolutionizing Teledermatology: Exploring the Integration of AI, Including GPT Chatbots for AI-Driven Anamnesis, Diagnosis, and Treatment Plans: Correspondence. Clin Dermatol. 2024 Jul 13:S0738-081X(24)00131-7. doi: 10.1016/j.clindermatol.2024.07.006.
  • 3. Santiago S, Lu J. Patient Satisfaction in Teledermatology: an Updated Review. Curr Dermatol Rep. 2023;12(1):23-26. doi: 10.1007/s13671-023-00382-z.
  • 4. Kriwy P, Nötzold A, Seitz AT, Berger R. [Acceptance of Teledermatology: Results of a Survey of General Practitioners and Dermatologists in Saxony]. Gesundheitswesen. 2023;85(12):1149-1156. German. doi: 10.1055/a-1999-7523. [Article in German]
  • 5. Giansanti D, Di Basilio F. The Artificial Intelligence in Digital Radiology: Part 1: The Challenges, Acceptance and Consensus. Healthcare (Basel). 2022 Mar 10;10(3):509. doi: 10.3390/healthcare10030509.
  • 6. Giovagnoli MR, Giansanti D. Artificial Intelligence in Digital Pathology: What Is the Future? Part 1: From the Digital Slide Onwards. Healthcare (Basel). 2021 Jul 7;9(7):858. doi: 10.3390/healthcare9070858.
  • 7. Chao E, Meenan CK, Ferris LK. Smartphone-Based Applications for Skin Monitoring and Melanoma Detection. Dermatol Clin. 2017;35(4):551-557. doi: 10.1016/j.det.2017.06.014.
  • 8. Damanpour S, Srivastava D, Nijhawan RI. Self-acquired patient images: the promises and the pitfalls. Semin Cutan Med Surg. 2016 Mar;35(1):13-7. doi: 10.12788/j.sder.2016.013.
  • 9. Huang K, Wu X, Li Y, et al. Artificial Intelligence-Based Psoriasis Severity Assessment: Real-world Study and Application. J Med Internet Res. 2023;25:e44932. doi: 10.2196/44932.
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  • 12. Damsin T, Jacquemin P, Canivet G, Giet D, Gillet P, Nikkels AF. [TeleSPOT Project : early detection of melanoma by teledermoscopy in general practice]. Rev Med Liege. 2019;74(12):650-654. [Article in French]
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  • 21. Gandhi K, Ezzedine K, Anastassopoulos KP, et al. Prevalence of Vitiligo Among Adults in the United States. JAMA Dermatol. 2022;158(1):43-50. doi: 10.1001/jamadermatol.2021.4724.
  • 22. Glines KR, Haidari W, Ramani L, Akkurt ZM, Feldman SR. Digital future of dermatology. Dermatol Online J. 2020;26(10):13030/qt75p7q57j.
  • 23. Peracca SB, Fonseca A, Hines A, et al. Implementation of Mobile Teledermatology: Challenges and Opportunities. Telemed J E Health. 2021;27(12):1416-1422. doi: 10.1089/tmj.2020.0500.
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  • 26. Johnson A, Shukla N, Halley M, et al. Barriers and facilitators to mobile health and active surveillance use among older adults with skin disease. Health Expect. 2021;24(5):1582-1592. doi: 10.1111/hex.13229.
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  • 30. Perrone G, Bilotta C, Tullio V, Pirrone R, Argo A, Zerbo S. Telehealth modulation and new proposals during the Covid-19 pandemic: a literature review. Clin Ter. 2022;173(5):489-495. doi: 10.7417/CT.2022.2467.
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  • 36. Greis C, Maul LV, Hsu C, Djamei V, Schmid-Grendelmeier P, Navarini AA. [Artificial intelligence to support telemedicine in Africa]. Hautarzt. 2020;71(9):686-690. doi: 10.1007/s00105-020-04664-6. [Article in German]
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  • 38. Blum A, Bosch S, Haenssle HA, et al. [Artificial intelligence and smartphone program applications (Apps) : Relevance for dermatological practice]. Hautarzt. 2020;71(9):691-698. doi: 10.1007/s00105-020-04658-4. [Article in German]
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  • 40. Sun MD, Kentley J, Wilson BW, et al; ISIC Technique Working Group. Digital skin imaging applications, part II: a comprehensive survey of post-acquisition image utilization features and technology standards. Skin Res Technol. 2022;28(6):771-779. doi: 10.1111/srt.13195.
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Year 2024, EARLY ONLINE, 1 - 10
https://doi.org/10.18621/eurj.1470960

Abstract

References

  • 1. Kaliyadan F, Ramsey ML. Teledermatology. In: StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing; 2022 Jan.
  • 2. Daungsupawong H, Wiwanitkit V. Revolutionizing Teledermatology: Exploring the Integration of AI, Including GPT Chatbots for AI-Driven Anamnesis, Diagnosis, and Treatment Plans: Correspondence. Clin Dermatol. 2024 Jul 13:S0738-081X(24)00131-7. doi: 10.1016/j.clindermatol.2024.07.006.
  • 3. Santiago S, Lu J. Patient Satisfaction in Teledermatology: an Updated Review. Curr Dermatol Rep. 2023;12(1):23-26. doi: 10.1007/s13671-023-00382-z.
  • 4. Kriwy P, Nötzold A, Seitz AT, Berger R. [Acceptance of Teledermatology: Results of a Survey of General Practitioners and Dermatologists in Saxony]. Gesundheitswesen. 2023;85(12):1149-1156. German. doi: 10.1055/a-1999-7523. [Article in German]
  • 5. Giansanti D, Di Basilio F. The Artificial Intelligence in Digital Radiology: Part 1: The Challenges, Acceptance and Consensus. Healthcare (Basel). 2022 Mar 10;10(3):509. doi: 10.3390/healthcare10030509.
  • 6. Giovagnoli MR, Giansanti D. Artificial Intelligence in Digital Pathology: What Is the Future? Part 1: From the Digital Slide Onwards. Healthcare (Basel). 2021 Jul 7;9(7):858. doi: 10.3390/healthcare9070858.
  • 7. Chao E, Meenan CK, Ferris LK. Smartphone-Based Applications for Skin Monitoring and Melanoma Detection. Dermatol Clin. 2017;35(4):551-557. doi: 10.1016/j.det.2017.06.014.
  • 8. Damanpour S, Srivastava D, Nijhawan RI. Self-acquired patient images: the promises and the pitfalls. Semin Cutan Med Surg. 2016 Mar;35(1):13-7. doi: 10.12788/j.sder.2016.013.
  • 9. Huang K, Wu X, Li Y, et al. Artificial Intelligence-Based Psoriasis Severity Assessment: Real-world Study and Application. J Med Internet Res. 2023;25:e44932. doi: 10.2196/44932.
  • 10. Liopyris K, Gregoriou S, Dias J, Stratigos AJ. Artificial Intelligence in Dermatology: Challenges and Perspectives. Dermatol Ther (Heidelb). 2022;12(12):2637-2651. doi: 10.1007/s13555-022-00833-8.
  • 11. Tongdee E, Markowitz O. Mobile app rankings in dermatology. Cutis. 2018 Oct;102(4):252-256.
  • 12. Damsin T, Jacquemin P, Canivet G, Giet D, Gillet P, Nikkels AF. [TeleSPOT Project : early detection of melanoma by teledermoscopy in general practice]. Rev Med Liege. 2019;74(12):650-654. [Article in French]
  • 13. Marwaha SS, Fevrier H, Alexeeff S, et al. Comparative effectiveness study of face-to-face and teledermatology workflows for diagnosing skin cancer. J Am Acad Dermatol. 2019;81(5):1099-1106. doi: 10.1016/j.jaad.2019.01.067.
  • 14. Sambhi RD, Kalaichandran R, Tan J. Critical analysis of features and quality of applications for clinical management of acne. Dermatol Online J. 2019;25(10):13030/qt1668h2kt.
  • 15. Akdeniz M, Hahnel E, Ulrich C, Blume-Peytavi U, Kottner J. Prevalence and associated factors of skin cancer in aged nursing home residents: A multicenter prevalence study. PLoS One. 2019;14(4):e0215379. doi: 10.1371/journal.pone.0215379.
  • 16. Silveira CEG, Carcano C, Mauad EC, Faleiros H, Longatto-Filho A. Cell phone usefulness to improve the skin cancer screening: preliminary results and critical analysis of mobile app development. Rural Remote Health. 2019;19(1):4895. doi: 10.22605/RRH4895.
  • 17. Koh U, Horsham C, Soyer HP, et al. Consumer Acceptance and Expectations of a Mobile Health Application to Photograph Skin Lesions for Early Detection of Melanoma. Dermatology. 2019;235(1):4-10. doi: 10.1159/000493728.
  • 18. Done N, Oh DH, Weinstock MA, et al. VA Telederm study: protocol for a stepped-wedge cluster randomised trial to compare access to care for a mobile app versus a workstation-based store-and-forward teledermatology process. BMJ Open. 2018;8(12):e022218. doi: 10.1136/bmjopen-2018-022218.
  • 19. Clark AK, Bosanac S, Ho B, Sivamani RK. Systematic review of mobile phone-based teledermatology. Arch Dermatol Res. 2018;310(9):675-689. doi: 10.1007/s00403-018-1862-4.
  • 20. Morone G, Pirrera A, Iannone A, Giansanti D. Development and Use of Assistive Technologies in Spinal Cord Injury: A Narrative Review of Reviews on the Evolution, Opportunities, and Bottlenecks of Their Integration in the Health Domain. Healthcare (Basel). 2023;11(11):1646. doi: 10.3390/healthcare11111646.
  • 21. Gandhi K, Ezzedine K, Anastassopoulos KP, et al. Prevalence of Vitiligo Among Adults in the United States. JAMA Dermatol. 2022;158(1):43-50. doi: 10.1001/jamadermatol.2021.4724.
  • 22. Glines KR, Haidari W, Ramani L, Akkurt ZM, Feldman SR. Digital future of dermatology. Dermatol Online J. 2020;26(10):13030/qt75p7q57j.
  • 23. Peracca SB, Fonseca A, Hines A, et al. Implementation of Mobile Teledermatology: Challenges and Opportunities. Telemed J E Health. 2021;27(12):1416-1422. doi: 10.1089/tmj.2020.0500.
  • 24. Marasca C, Annunziata MC, Camela E, et al. Teledermatology and Inflammatory Skin Conditions during COVID-19 Era: New Perspectives and Applications. J Clin Med. 2022;11(6):1511. doi: 10.3390/jcm11061511.
  • 25. Kvedarienė V, Burzdikaitė P, Česnavičiūtė I. mHealth and telemedicine utility in the monitoring of allergic diseases. Front Allergy. 2022;3:919746. doi: 10.3389/falgy.2022.919746.
  • 26. Johnson A, Shukla N, Halley M, et al. Barriers and facilitators to mobile health and active surveillance use among older adults with skin disease. Health Expect. 2021;24(5):1582-1592. doi: 10.1111/hex.13229.
  • 27. Rizvi SMH, Schopf T, Sangha A, Ulvin K, Gjersvik P. Teledermatology in Norway using a mobile phone app. PLoS One. 2020;15(4):e0232131. doi: 10.1371/journal.pone.0232131.
  • 28. Havelin A, Hampton P. Telemedicine and e-Health in the Management of Psoriasis: Improving Patient Outcomes - A Narrative Review. Psoriasis (Auckl). 2022;12:15-24. doi: 10.2147/PTT.S323471.
  • 29. Lee C, Witkowski A, Żychowska M, Ludzik J. The role of mobile teledermoscopy in skin cancer triage and management during the COVID-19 pandemic. Indian J Dermatol Venereol Leprol. 2023;89(3):347-352. doi: 10.25259/IJDVL_118_2022.
  • 30. Perrone G, Bilotta C, Tullio V, Pirrone R, Argo A, Zerbo S. Telehealth modulation and new proposals during the Covid-19 pandemic: a literature review. Clin Ter. 2022;173(5):489-495. doi: 10.7417/CT.2022.2467.
  • 31. Lull C, von Ahnen JA, Gross G, et al. German Mobile Apps for Patients With Psoriasis: Systematic Search and Evaluation. JMIR Mhealth Uhealth. 2022;10(5):e34017. doi: 10.2196/34017.
  • 32. Mbunge E, Batani J, Gaobotse G, Muchemwa B. Virtual healthcare services and digital health technologies deployed during coronavirus disease 2019 (COVID-19) pandemic in South Africa: a systematic review. Glob Health J. 2022;6(2):102-113. doi: 10.1016/j.glohj.2022.03.001.
  • 33. Sun MD, Kentley J, Wilson BW, et al; ISIC Technique Working Group. Digital skin imaging applications, part I: Assessment of image acquisition technique features. Skin Res Technol. 2022;28(4):623-632. doi: 10.1111/srt.13163.
  • 34. Kling SMR, Saliba-Gustafsson EA, Winget M, et al. Teledermatology to Facilitate Patient Care Transitions From Inpatient to Outpatient Dermatology: Mixed Methods Evaluation. J Med Internet Res. 2022;24(8):e38792. doi: 10.2196/38792.
  • 35. Yadav D, Bhatia S, Ramam M, et al. Patient perception and satisfaction with a smartphone-based teledermatology service initiated during the COVID-19 pandemic at a tertiary care hospital in North India. Indian J Dermatol Venereol Leprol. 2022;88(5):623-632. doi: 10.25259/IJDVL_608_2021.
  • 36. Greis C, Maul LV, Hsu C, Djamei V, Schmid-Grendelmeier P, Navarini AA. [Artificial intelligence to support telemedicine in Africa]. Hautarzt. 2020;71(9):686-690. doi: 10.1007/s00105-020-04664-6. [Article in German]
  • 37. Domogalla L, Beck A, Schulze-Hagen T, Herr R, Benecke J, Schmieder A. Impact of an eHealth Smartphone App on the Mental Health of Patients With Psoriasis: Prospective Randomized Controlled Intervention Study. JMIR Mhealth Uhealth. 2021;9(10):e28149. doi: 10.2196/28149.
  • 38. Blum A, Bosch S, Haenssle HA, et al. [Artificial intelligence and smartphone program applications (Apps) : Relevance for dermatological practice]. Hautarzt. 2020;71(9):691-698. doi: 10.1007/s00105-020-04658-4. [Article in German]
  • 39. Mostafa PIN, Hegazy AA. Dermatological consultations in the COVID-19 era: is teledermatology the key to social distancing? An Egyptian experience. J Dermatolog Treat. 2022;33(2):910-915. doi: 10.1080/09546634.2020.1789046.
  • 40. Sun MD, Kentley J, Wilson BW, et al; ISIC Technique Working Group. Digital skin imaging applications, part II: a comprehensive survey of post-acquisition image utilization features and technology standards. Skin Res Technol. 2022;28(6):771-779. doi: 10.1111/srt.13195.
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There are 60 citations in total.

Details

Primary Language English
Subjects Dermatology
Journal Section Reviews
Authors

Şule Gençoğlu 0000-0001-9057-6625

Early Pub Date July 21, 2024
Publication Date
Submission Date April 19, 2024
Acceptance Date July 7, 2024
Published in Issue Year 2024 EARLY ONLINE

Cite

AMA Gençoğlu Ş. Analysis of skin health management through telemedicine and mobile health in dermatology in the post-COVID era. Eur Res J. Published online July 1, 2024:1-10. doi:10.18621/eurj.1470960

e-ISSN: 2149-3189 


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