AI offers educational support tools for doctors in their daily basics to efficiently manage patients.
Medical professionals are tasked with keeping abreast of the ever-evolving body of clinical knowledge, a daunting endeavor given the sheer volume of data dispersed across numerous publications. Accessing this information swiftly and effectively during patient care is a significant challenge, impeding the ability to respond to patient needs and adhere to treatment protocols. While clinical decisions are ideally guided by current, objective evidence (1), the reality is that doctors often face constraints due to the inaccessibility of data in real time, limited time, and the subjective nature of some patient decisions. Additionally, the variability of symptoms and the emergence of new disease variants complicate the diagnosis in primary care settings (2).
On average, a physician spends about 8 hours weekly searching for medical information, yet up to half of this information may not be utilized in clinical decision-making, signifying a considerable waste of time and resources (3)(4). In an environment where time is a scarce commodity, the protracted process of locating pertinent information can detract from patient care. Moreover, advancements like fuzzy logic present innovative approaches in disease study and diagnostics that are not yet fully integrated into standard practice (5)(6).
MedSearch is an AI-based digital assistant built to streamline searching and analyzing medical literature in PubMed, giving healthcare professionals the information they need at the right time.
MedSearch leverages the extensive PubMed repository to search for the latest research articles, clinical trials, and guidelines relevant to healthcare consultations and patient cases.