Chapter 7 AI-driven clinical decision support systems for pharma executives
Rishabha Malviya, Shristy Verma, Sonali Sundram, Harshil Shah · 2025
Artificial intelligence (AI) is a powerful tool that makes data processing, analysis, and interpretation possible. The following chapter offers information on the AI algorithms employed by pharmaceutical corporations in their clinical decision support systems. There are difficulties in implementing AI-CDSS, and future possibilities are also covered. AI-based algorithms such as logistic regression, support vector computations, naive Bayes, random forests, decision tree models, and ANN are expected to be critical in optimizing medication compositions and enhancing treatment outcomes, while also anticipating potential toxicity along with side effects in patientspecific dose formulation and safety evaluations. AI-powered CDSS helps doctors, nurses, and patients make informed decisions by evaluating patient data. NLP improves patient communication and electronic health records. Through meticulous analysis of the patient’s signs, symptoms, medical records, and contextual information, an NLP-driven Clinical Decision Support System can propose potential diagnoses, treatment strategies, and pharmacological interventions. These difficulties include organizational and social factors, human factors, and a lack of confidence among medical professionals.