DCA05DE Dental Ethics and the Digital Age, 3rd Edition _ _________________________________________
• Promote Direct Communication: Encourage patients to address concerns directly with the practice owner to strengthen the doctor-patient relationship and potentially prevent negative online reviews. An “open door” policy on the website can promote goodwill. • Encourage Positive Reviews: Ask satisfied patients to share their experiences on specific websites, offering cards or reminders after visits to help quickly build a positive online reputation. • Accept and Respond to Negative Comments: Be prepared for negative reviews and respond thoughtfully, avoiding HIPAA violations. Trust that prospective patients can discern overall trends and that a few negative comments can add credibility. • Use Feedback for Improvement: Treat online reviews as a focus group to identify areas for practice improvement, turning negative feedback into a valuable asset. Some may find it challenging to overcome the emotional aspect of consumer review websites. People do not like to see their work criticized. However, if providers can overcome this obstacle, they may be able to use these websites to their advantage. ARTIFICIAL INTELLIGENCE Artificial intelligence (AI) involves the development of intel- ligent machines that use algorithms or rules to replicate human cognitive abilities like learning and problem-solving. AI systems can predict or respond to issues in a purposeful, intelligent, and adaptive way. One of AI’s key strengths is its ability to identify patterns and relationships within large, complex data- sets. For instance, AI can analyze a patient’s medical history and generate a potential diagnosis. Additionally, AI systems are autonomous and continually evolve as they process more data (Bajwa et. al., 2021). Artificial intelligence (AI) has several dental applications that enhance patient care, diagnostics, treatment planning, and practice management. Here are some key areas where AI is making an impact: • Diagnostic Assistance: AI-powered tools can analyze dental images, such as X-rays, CBCT scans, and intraoral photos, to identify issues like caries, periodontal disease, and oral cancers with high accuracy. These tools help dentists make quicker, more precise diagnoses. • Enhanced Imaging: AI algorithms can improve the quality of dental images, making it easier to detect subtle issues that the human eye might miss. This leads to more accurate diagnoses and better treatment outcomes.
• Treatment Planning: AI systems can assist in creating personalized treatment plans by analyzing patient data, predicting treatment outcomes, and suggesting the most effective interventions. This is particularly useful in orthodontics, where AI can simulate tooth movement and optimize treatment plans for braces or aligners. • Predictive Analytics: AI can analyze patient records to predict future dental issues, such as the likelihood of developing caries or periodontal disease. This allows for proactive, preventive care, improving long-term patient outcomes. • Robotic Dentistry: AI-powered robots can assist in complex procedures, such as dental implant placement, by providing precise guidance and reducing the margin for human error. Despite significant advancements in AI and its positive impact on healthcare, access to this technology remains limited in many low-income and developing countries. Ethical concerns such as privacy, data protection, informed consent, social inequality, and the need for empathy in medical consultation (which a robot does not have) present challenges in using AI. Thus, before incorporating AI into care, practitioners must consider the profession’s ethical principles in the context of AI applications (Farhud and Zokaei, 2021). Consider the following case. CASE STUDY 6 Dr. T, a dentist in a busy urban practice, recently integrated an AI- powered diagnostic tool into her practice. The AI system analyzes dental images and flags potential issues, such as early signs of caries, periodontal disease, and even oral cancer. The AI flagged a small lesion on a patient’s mucosa during a routine check-up as potentially malignant. The patient, Mrs. G, is a healthy 45-year-old with no history of oral health issues. Dr. T, relying on the AI’s analysis, rec- ommended a biopsy to rule out cancer. Mrs. G, anxious about the possibility, questioned whether the AI could be mistaken and expressed concern about the need for an invasive procedure based on AI results. In this case, Dr. T faces an ethical dilemma in balancing reliance on AI with her professional judgment and the patient’s concerns. While advanced, the AI system is not infallible, and Dr. T must consider whether to trust the AI’s diagnosis fully or seek further human analysis before recommending an invasive procedure. Ethical principles such as autonomy, beneficence, and nonmaleficence are at play. Dr. T should ensure that Mrs. G is fully informed about the AI’s role in the diagnosis and the reasoning behind the recommendation for a biopsy. Additionally, Dr. T should weigh the potential harm of an unnecessary procedure against the benefits of early detection of a serious condition. In this case, Dr. T might consider obtaining a second opinion from a specialist, combining AI findings with human expertise, to make a well-rounded, ethical decision that respects Mrs. G’s autonomy and well-being.
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