Tecnologias digitais no cuidado de feridas: revisão de escopo

Autores

  • Tiago Araújo Monteiro Universidade Federal do Ceará image/svg+xml https://orcid.org/0000-0001-9743-9711
    • Conceptualization
    • Data Curation
    • Formal Analysis
    • Investigation
    • Methodology
    • Writing – Original Draft Preparation
    • Writing – Review & Editing
  • Aurilene Lima da Silva Hospital de Messejana Dr. Carlos Alberto Studart Gomes https://orcid.org/0000-0001-9755-5464
    • Writing – Review & Editing
    • Writing – Original Draft Preparation
    • Conceptualization
    • Data Curation
    • Methodology
  • Isaque Lima de Farias Universidade Federal do Ceará image/svg+xml https://orcid.org/0000-0002-1352-0916
    • Conceptualization
    • Formal Analysis
    • Methodology
    • Investigation
    • Writing – Original Draft Preparation
    • Writing – Review & Editing
  • Jairla Sousa Marcelino Universidade Federal do Ceará image/svg+xml https://orcid.org/0009-0006-3311-169X
    • Conceptualization
    • Formal Analysis
    • Writing – Original Draft Preparation
    • Writing – Review & Editing
  • Fabiane do Amaral Gubert Universidade Federal do Ceará image/svg+xml https://orcid.org/0000-0003-3016-9619
    • Data Curation
    • Writing – Original Draft Preparation
    • Writing – Review & Editing
  • Viviane Mamede Vasconcelos Cavalcante Universidade Federal do Ceará image/svg+xml https://orcid.org/0000-0002-3720-4643
    • Writing – Review & Editing
    • Writing – Original Draft Preparation
    • Methodology
    • Investigation
    • Conceptualization
  • Manuela de Mendonça Figuerêdo Coelho Universidade Federal do Ceará image/svg+xml https://orcid.org/0000-0001-6182-9486
    • Conceptualization
    • Data Curation
    • Formal Analysis
    • Methodology
    • Resources
    • Supervision
    • Writing – Original Draft Preparation
    • Writing – Review & Editing

DOI:

https://doi.org/10.36517/2175-6783.20262796790

Palavras-chave:

Saúde Digital; Sistemas de Saúde; Atenção Primária à Saúde; Cuidados de Enfermagem.

Resumo

Objetivo: mapear os tipos de tecnologias digitais utilizadas no cuidado de pessoas com feridas bem como suas funcionalidades e aplicações clínicas. Métodos: trata-se de uma revisão de escopo, conduzida por meio de buscas em bases de dados nacionais, internacionais e na literatura cinzenta. Foram incluídas publicações no período entre 2015 e 2025. A seleção e extração dos dados seguiram as recomendações metodológicas do JBI. Resultados: foram incluídos 30 estudos, com predominância de aplicativos móveis, algoritmos de inteligência artificial e curativos inteligentes. Os estudos relataram redução no tempo de mensuração das lesões, acurácia superior a 85% na classificação tecidual por inteligência artificial e erro metrológico aproximado de 2% em aplicativos de mensuração digital. Predominaram estudos de desenvolvimento e validação tecnológica, especialmente em contextos ambulatoriais e hospitalares. Conclusão: aplicativos móveis, algoritmos de inteligência artificial, plataformas digitais e curativos inteligentes constituíram as principais tecnologias digitais identificadas no cuidado de feridas, com aplicações voltadas principalmente à mensuração, monitoramento, documentação clínica e suporte à decisão. Contribuição para a prática: a integração tecnológica no Sistema Único de Saúde e setor privado exige planejamento estrutural, capacitação profissional, indicadores econômico-clínicos e articulação intersetorial para garantir um cuidado eficiente, sustentável e equitativo. 

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Referências

1. Rippon MG, Fleming L, Chen T, Rogers AA, Ousey K. Artificial intelligence in wound care: diagnosis, assessment and treatment of hard-to-heal wounds: a narrative review. J Wound Care. 2024; 33(4):229-42. doi: https://dx.doi.org/10.12968/jowc.2024.33.4.229

2. Liu H, Sun W, Cai W, Luo K, Lu C, Jin A, et al. Current status, challenges, and prospects of artificial intelligence applications in wound repair theranostics. Theranostics. 2025;15(5):1662-88. doi: https://doi.org/10.7150/thno.105109

3. Dabas M, Kapp S, Gefen A. Utilizing image processing techniques for wound management and evaluation in clinical practice: establishing the feasibility of implementing artificial intelligence in routine wound care. Adv Skin Wound Care. 2025;38(1):31-9. doi: https://doi.org/10.1097/ASW.0000000000000246

4. Barbosa SLSE, Abud ACF, Souza CAS, Torres RC, Lima LS, Santos APA. Algoritmos utilizados para o tratamento de feridas. Rev Enferm Atual In Derme [Internet]. 2019 [cited Apr 17, 2026];90(28). Available from: https://revistaenfermagematual.com.br/revista/article/view/523

5. Dege T, Glatzel B, Borst V, Grän F, Goller S, Glatzel C, et al. Patient-centered chronic wound care mobile apps: systematic identification, analysis, and assessment. JMIR Mhealth Uhealth. 2024;12:e51592. doi: https://doi.org/10.2196/51592

6. Peters MDJ, Marnie C, Tricco AC, Pollock D, Munn Z, Alexander L, et al. Updated methodological guidance for the conduct of scoping reviews. In: Aromataris E, Lockwood C, Porritt K, Pilla B, Jordan Z, editors. JBI Manual for Evidence Synthesis. 2024. doi: https://doi.org/10.46658/JBIMES-24-01

7. Tricco AC, Lillie E, Zarin W, O’Brien KK, Colquhoun H, Levac D, et al. PRISMA extension for scoping reviews (PRISMA-ScR): checklist and explanation. Ann Intern Med. 2018;169(7):467-73. doi: https://doi.org/10.7326/m18-0850

8. Jiménez DR, Casanova-Lozano L, Grau-Carrión S, Reig-Bolaño R. Artificial intelligence methods for diagnostic and decision-making assistance in chronic wounds: a systematic review. J Med Syst. 2025;49(1):29. doi: https://dx.doi.org/10.1007/s10916-025-02153-8

9. Bai X, Zhang H, Jiao Y, Yuan C, Ma Y, Han L. Digital health interventions for chronic wound management: a systematic review and meta-analysis. J Med Internet Res. 2024;26:e47904. doi: https://doi.org/10.2196/47904

10. Anisuzzaman DM, Wang C, Rostami B, Gopalakrishnan S, Niezgoda J, Yu Z. Image-based artificial intelligence in wound assessment: a systematic review. Adv Wound Care. 2022;11(12):687-709. doi: https://doi.org/10.1089/wound.2021.0091

11. Moradifar F, Sepahdoost N, Tavakoli P, Mirzapoor A. Multi-functional dressings for recovery and screenable treatment of wounds: a review. Heliyon. 2024;11(1):e41465. doi: https://dx.doi.org/10.1016/j.heliyon.2024.e41465

12. Tambella AM, Galosi M, Angorini A, Dini F, Piccionello AP, Di Bella C, et al. Advances in noncontact measurement of wound area using an application for smart mobile devices. Adv Skin Wound Care. 2025;38(7):360-6. doi: https://doi.org/10.1097/ASW.0000000000000296

13. Howell RS, Liu HH, Khan AA, Woods JS, Lin LJ, Saxena M, et al. Development of a method for clinical evaluation of artificial intelligence-based digital wound assessment tools. JAMA Netw Open. 2021;4(5):e217234. doi: http://doi.org/10.1001/jamanetworkopen.2021.7234

14. Gagnon J, Chartrand J, Probst S, Maillet É, Reynolds E, Lalonde M. Co-creation and evaluation of an algorithm for the development of a mobile application for wound care among new graduate nurses: a mixed methods study. Int Wound J. 2024; 21(10):e70064. doi: https://dx.doi.org/10.1111/iwj.70064

15. Comino-Sanz IM, Jaime RC, Bellón JA, Jiménez-García JF, Muñoz-Conde M, Requena MJD, et al. A digital tool for measuring healing of chronic wounds treated with an antioxidant dressing: a case series. Int J Environ Res Public Health. 2023;20(5):4147. doi: https://dx.doi.org/10.3390/ijerph20054147

16. Wynn M, Clark M. Attitudes of UK-based wound specialists towards the use of mobile applications in wound care delivery: a cross-sectional survey. Part 2 qualitative findings. Wounds UK [Internet]. 2022 [cited Apr 13, 2026];18(3):10-6. Available from: https://www.researchgate.net/publication/364122294_Attitudes_of_UK-based_wound_specialists_towards_the_use_of_mobile_applications_in_wound_care_delivery_a_cross-sectional_survey_Part_2_qualitative_findings

17. Wang M, Huang K, Li X, Zhao X, Downey L, Hassounah S, et al. Health workers’ adoption of digital health technology in low- and middle-income countries: a systematic review and meta-analysis. Bull World Health Organ. 2025;103(2):126-35. doi: https://doi.org/10.2471/BLT.24.292157

18. Matilla AC, Cobo MA, Arpa GA, Fernández MJ. Role of the Healico© wound care smartphone application in preventing a foot amputation in a 65-year-old patient with diabetes. Am J Case Rep. 2022;23:e936359. doi: http://doi.org/10.12659/AJCR.936359

19. Kivity S, Rajuan E, Arbeli S, Alcalay T, Shiri L, Orvieto N, et al. Optimising wound monitoring: can digital tools improve healing outcomes and clinic efficiency. J Clin Nurs. 2024;33(10):4014-23. doi: https://doi.org/10.1111/jocn.17084

20. Nair HKR. Increasing productivity with smartphone digital imagery wound measurements and analysis. J Wound Care. 2018;27(suppl 9):12-9. doi: https://doi.org/10.12968/jowc.2018.27.Sup9a.S12

21. Aragón-Sánchez J, Quintana-Marrero Y, Aragón-Hernández C, Hernández-Herero MJ. ImageJ: a free, easy, and reliable method to measure leg ulcers using digital pictures. Int J Low Extrem Wounds. 2017;16(4):269-73. doi: https://dx.doi.org/10.1177/1534734617744951

22. Mirani B, Hadisi Z, Pagan E, Dabiri SMH, van Rijt A, Almutairi L, et al. Smart dual-sensor wound dressing for monitoring cutaneous wounds. Adv Healthc Mater. 2023;12(18):e2203233. doi: https://doi.org/10.1002/adhm.202203233

23. Ehtesabi H, Kalji SO, Movsesian L. Smartphone-based wound dressings: a mini-review. Heliyon. 2022;8(7):e09876. doi: http://doi.org/10.1016/j.heliyon.2022.e09876

24. Cuddigan J, Haesler E, Moore Z, Carville K, Kottner J. Development, dissemination and evaluation of a smartphone-based app for pressure ulcer/injury prevention and treatment for use at the bedside. J Wound Care. 2022;31(suppl 12):29-39. doi: https://doi.org/10.12968/jowc.2022.31.Sup12.S29

25. Dong W, Nie LJ, Wu MJ, Xie T, Liu YK, Tang JJ, et al. WoundCareLog APP - a new application to record wound diagnosis and healing. Chin J Traumatol. 2019;22(5):296-9. doi: http://doi.org/10.1016/j.cjtee.2019.07.003

26. Au Y, Beland B, Anderson JAE, Sasseville D, Wang SC. Time-saving comparison of wound measurement between the ruler method and the Swift Skin and Wound App. J Cutan Med Surg. 2019;23(2):226-8. doi: http://doi.org/10.1177/1203475418800942

27. Marengo LL, Kozyreff AM, Moraes FS, Maricato LIG, Barberato-Filho S. Mobile technologies in healthcare: reflections on development, application, legal aspects, and ethics. Rev Panam Salud Publica. 2022;46:e37. doi: https://doi.org/10.26633/RPSP.2022.37

28. Shamloul N, Ghias MH, Khachemoune A. The utility of smartphone applications and technology in wound healing. Int J Low Extrem Wounds. 2019;18(3):228-35. doi: https://dx.doi.org/10.1177/1534734619853916

29. Zoppo G, Marrone F, Pittarello M, Farina M, Uberti A, Demarchi D, et al. AI technology for remote clinical assessment and monitoring. J Wound Care. 2020;29(12):692-706. doi: https://dx.doi.org/10.12968/jowc.2020.29.12.692

30. Gagnon J, Probst S, Chartrand J, Reynolds E, Lalonde M. Self-supporting wound care mobile applications for nurses: a scoping review. J Adv Nurs. 2024;80(9):3464-80. doi: http://doi.org/10.1111/jan.16052

31. Wu P, Jin L, Jiang W, Zhou Y, Lin L, Lin H, et al. Smart bandages for wound monitoring and treatment. Biosens Bioelectron. 2025;283:117522. doi: https://doi.org/10.1016/j.bios.2025.117522

32. Baseman C, Fayfman M, Schechter MC, Ostadabbas S, Santamarina G, Ploetz T, et al. Intelligent care management for diabetic foot ulcers: a scoping review of computer vision and machine learning techniques and applications. J Diabetes Sci Technol. 2025;19(3):820-9. doi: https://doi.org/10.1177/19322968231213378

33. Asiabar A. The use of online applications to improve chronic wound care in primary care: a literature review. Health Informatics J [Internet]. 2020 [cited Apr 13, 2026];26(3):1648-60. Available from: https://repository.usfca.edu/cgi/viewcontent.cgi?article=1041&context=dnp_qualifying

34. Klotz T, Kurmis R. Reliability testing of the matching assessment using photographs of scars app. Wound Repair Regen. 2020;28(5):676-83. doi: https://doi.org/10.1111/wrr.12822

35. Lazarou I, Fiska V, Mpaltadoros L, Tsaopoulos D, Stavropoulos TG, Nikolopoulos S, et al. Stepping forward: a scoping systematic literature review on the health outcomes of smart sensor technologies for diabetic foot ulcers. Sensors (Basel). 2024;24(6):2009. doi: https://doi.org/10.3390/s24062009

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Publicado

2026-07-09

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Todo o conjunto de dados que dá suporte aos resultados deste estudo está disponível no corpo do próprio artigo. As estratégias completas de busca utilizadas nas bases de dados podem ser acessadas por meio do link https://osf.io/u2pdz/overview.

Edição

v. 27 (2026): Rev Rene

Seção

Artigos de Revisão

Licença

Copyright (c) 2026 Tiago Araújo Monteiro, Aurilene Lima da Silva, Isaque Lima de Farias, Jairla Sousa Marcelino, Fabiane do Amaral Gubert, Viviane Mamede Vasconcelos Cavalcante, Manuela de Mendonça Figueiêdo Coelho

Creative Commons License
Este trabalho está licenciado sob uma licença Creative Commons Attribution 4.0 International License.

Como Citar

1.
Monteiro TA, Silva AL da, Farias IL de, Marcelino JS, Gubert F do A, Cavalcante VMV, et al. Tecnologias digitais no cuidado de feridas: revisão de escopo. Rev Rene [Internet]. 9º de julho de 2026 [citado 13º de julho de 2026];27:e96790. Disponível em: https://periodicos.ufc.br/rene/article/view/96790
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