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Smartphone Mobile Applications to Enhance Diagnosis of Skin Cancer: A Guide for the Rural Practitioner
The West Virginia Medical Journal
|November 3, 2015
Summary
Primary care physicians can improve early skin cancer detection, especially in rural areas, using mobile apps. These tools enhance prevention and diagnosis, potentially improving patient outcomes for common cancers.
Area of Science:
- Dermatology
- Public Health
- Mobile Health (mHealth)
Background:
- Skin cancer is the most common cancer in the U.S., with delayed diagnosis leading to poor prognoses.
- Advanced skin cancer stages disproportionately affect rural populations due to various barriers.
- Early diagnosis is crucial for improving skin cancer outcomes, necessitating advancements in patient engagement, screening, diagnostic accuracy, and access to specialists.
Purpose of the Study:
- To review the latest mobile applications for enhancing skin cancer prevention and early diagnosis.
- To identify useful applications for primary care physicians, particularly in serving rural populations.
- To explore how mobile technology can overcome barriers to early skin cancer detection in underserved areas.
Main Methods:
- Systematic review of dermatology-related mobile applications.
- Evaluation of application features relevant to skin cancer prevention and diagnosis.
- Focus on applications suitable for primary care settings and rural accessibility.
Main Results:
- Over 200 dermatology applications exist, with a subset offering potential for skin cancer management.
- Mobile applications present accessible tools for patient education, lesion monitoring, and potentially aiding primary care diagnosis.
- Specific applications show promise in bridging the gap in dermatological care for rural patients.
Conclusions:
- Mobile health applications offer a scalable solution to improve early skin cancer detection and prevention efforts.
- Empowering primary care physicians with mHealth tools can significantly impact skin cancer outcomes in rural communities.
- Further research and integration of validated applications are needed to optimize their use in clinical practice.

