Panelists discuss billing and coding procedures for skin scanning devices, focusing on the use of unlisted Current Procedural Terminology (CPT) 99 codes with proper documentation and modifiers, the importance of clear communication with billing teams, available educational resources to aid primary care settings, and operational considerations including scope-of-practice variations for device use among clinical staff.
Panelists discuss an interactive case session emphasizing the nuanced evaluation of suspicious skin lesions, highlighting tools such as the DermaSensor for risk scoring, the ugly duckling concept, and the importance of combining clinical judgment with technology to guide biopsy decisions and patient follow-up across diverse skin types.
Panelists discuss that decisions to forgo biopsy often weigh patient risk and lesion characteristics with noninvasive tools offering valuable reassurance; while familiarity with artificial intelligence (AI) aids varies, these technologies—used judiciously and alongside clinical expertise—can boost diagnostic confidence, though limitations and integration challenges remain.
Panelists discuss that successful adoption of artificial intelligence (AI) skin cancer detection tools requires proven effectiveness, easy integration into clinical workflows, appropriate reimbursement, and use as supportive aids that complement—not replace—clinical judgment.
Panelists discuss how visual examination remains the primary method for evaluating suspicious skin lesions in everyday practice, emphasizing clinical judgment, patient-reported changes, and the growing—but still limited—role of artificial intelligence (AI) tools, while underscoring the importance of vigilance, especially in high-risk and underserved populations with limited access to dermatology.
Panelists discuss the challenges of skin cancer evaluations, highlighting patient fears, systemic access barriers, and provider concerns about overreferral, while emphasizing the importance of clear communication, responsible resource use, and cautious adoption of emerging tools such as artificial intelligence (AI), with clinical judgment and trusted educational resources remaining central to care.
Panelists discuss the anxieties primary care providers face in skin cancer evaluation—particularly the fear of missing a malignancy—while highlighting challenges such as limited diagnostic confidence, delayed dermatology access, and disparities in underserved areas, emphasizing the need for better tools and support to empower frontline clinicians and improve early detection.
Panelists discuss the vital role of primary care providers in early skin cancer detection, highlighting the need for improved diagnostic confidence, integration of artificial intelligence (AI) tools, and efficient workflows to overcome time and resource constraints, ultimately aiming to reduce delays and improve patient outcomes.
Published: June 26th 2025 | Updated:
