Data and AI

HealthTech Disruption: Data, AI, and Patient Care Across health systems, data and AI are reshaping how care is delivered. New tools help clinicians see patterns in large data, and patients get faster tests and safer treatments when data flows smoothly. This disruption comes with clear benefits and real risks that stakeholders must manage, including privacy and bias. Hospitals, clinics, and at-home devices all contribute to this new era. What data makes disruption possible Key data sources fuel smarter care. Electronic health records show visits, meds, and test results. Imaging, pathology, notes, and lab data provide detailed pictures of illness. Wearables and home devices track daily signals. Claims data adds context about care journeys. Interoperability lets these pieces speak the same language, so teams can act quickly. Real-world evidence from diverse sources helps decide treatments and policy too. ...

Natural Language Processing Made Simple Natural language processing (NLP) helps computers work with human language. It lets apps read text, find meaning, and respond in a helpful way. You already see NLP when a digital assistant answers a question, when email filters sort messages, or when a search engine returns relevant results. The idea is to turn words into useful signals that machines can use. To keep it simple, think of three parts: tokens, models, and tasks. ...