Implementing AI-Powered Support for Both Patients and Physicians

Co-Piloting for Physicians

AI is a powerful tool in providing second medical opinions for both physicians and patients. For clinicians, AI provides access to advanced diagnostic tools, decision support systems, evidence-based recommendations, and expert opinions, thereby enhancing the quality of patient care and improving clinical outcomes.  For patients, AI provides educational information related to a diagnosis or treatment plan, connect them with specialists, and facilitate communication with healthcare providers.

Andersen Consulting Delivers

AI is an adjunct to traditional medical practice, particularly in medical imaging analysis, diagnostic decision support, treatment planning and optimization, clinical pathway analysis, and genomic analysis. Physicians first use AI algorithms to sift through vast amounts of medical literature, research papers, clinical trials, and case studies to provide clinicians with relevant evidence and expert opinions related to specific medical conditions or treatment modalities. With medical imaging scans, such as MRIs, CT scans, or X-rays, AI provides automated image interpretation and highlight areas of concern for further review by medical professionals. 

Once a diagnosis has been made, AI acts as a co-pilot, analyzing patient data including medical history, symptoms, laboratory test results, and imaging findings to generate differential diagnoses and explore possible treatment options. Population health trends are also be factored into the AI-algorithm when a diagnosis is being finalized. AI-powered treatment planning systems analyze patient data, including genetic variants, and treatment guidelines to create personalized treatment plans for patients. In treatment, AI can support physicians with clinical pathway analysis identifying deviations from standard protocols or identified patient health patterns, predict potential complications, and recommend appropriate interventions.

 For patients, AI-powered decision support tools can analyze their medical data, symptoms, and diagnostic results to generate personalized recommendations and treatment options that can help them make informed decisions about seeking a second opinion or exploring alternative treatment options. AI-powered platforms also connect patients with specialists, peer networks with individuals with similar medical conditions or treatment experiences, or with healthcare providers who can answer frequently asked questions.

Maximizing Value

• Improved access to expertise for both patients and physicians. Patients are able to connect with specialists to obtain insights and recommendations from experts in their fields. Physicians receive the benefit of improved diagnostic accuracy through validation of initial diagnoses and provide more personalized treatment recommendations.
• Reduced diagnostic errors and liability risk. Physicians can mitigate liability risks and improve patient safety by ensuring that diagnoses are accurate, and treatment plans are evidence-based.
• Ability to identify net-new, valuable sources of data. New sources of data can be tracked, ingested, and processed by AI models. This allows for patients and physicians to have access to the most current data, while creating a managed service opportunity for the model owner.