With the incorporation of artificial intelligence, the contemporary preventive healthcare environment is witnessing tremendous advancements in understanding disease propensity, pattern, and predictive diagnosis.
FREMONT, Calif.: The increased need for individualized treatment and the growing pressure to reduce healthcare costs are the two main drivers for the expansion of the healthcare market. In order to accurately predict diseases in their early stages based on medical history, healthcare systems are gradually adopting and integrating artificial intelligence (AI) and machine learning (ML) algorithms. Healthcare organizations are widely adopting these technologies for rapid diagnosis and detection of different virus strains using individualized data to improve outbreak management.
Better decision making: AI-based solutions can streamline diagnostic and therapeutic operations using large amounts of organized and unstructured medical data from various institutions. Hospital and healthcare system clinicians can make clinical decisions with real-time, data-driven insights that they can modify and adapt to their experience. Healthcare solution providers are developing an AI algorithm that uses chest CT scans, clinical data, symptoms, age, blood reports and potential contact with infected people.
Improves workforce management: Artificial intelligence makes it easier for healthcare companies to meet their workforce goals. A growing pharmaceutical company is using natural language processing (NLP), deep learning and machine learning (ML) to extract data, match healthcare professionals’ skills to specific tasks and help staff vacant positions. This makes the medical staff rotation planning process simpler and more efficient.
Reduces expenses: AI can frequently be applied to improve diagnostic processes at a fraction of their original cost. The AI is able to search through millions of images for medical symptoms. It reduces the need for expensive physical labor. Patients get faster, more efficient care, reducing demand for hospital beds, waiting times and admissions. A private healthcare provider integrates prescriber, pharmacy and member data into its pharmaceutical and medical claims platform using artificial intelligence. Investigators can monitor drug abuse and match patients’ prescriptions with their diagnoses and subsequent doctor’s appointments.
Improves patient care: The use of AI can help filter data efficiently, get reports, and direct patients to the right areas and people, avoiding the typical troubles in healthcare facilities. Accessibility is another unique benefit of AI technology for healthcare. An interactive symptom checker app asks questions, analyzes answers, and rates known symptoms and risk factors to provide accurate, up-to-date medical information. This is an exemplary application of AI to improve patient care.