Vlade Legaspi

The cost of AI in healthcare includes far more than a license or cloud subscription. Healthcare teams often pay for data cleanup and labeling, model development and validation, compute infrastructure, integration with EHR workflows, compliance and legal review, staff training, and ongoing monitoring to prevent performance drift. For example, a hospital may spend heavily on … Continued

Robotic process automation in healthcare uses software “bots” to handle repetitive, rule-based work like scheduling, eligibility checks, claim submission, prior auth status checks, and data entry across EHR and payer portals. The upside is faster turnaround, fewer errors, better audit trails for compliance, and less admin burden on staff. The risks are messy workflows, poor … Continued

AI in primary care is already aiding diagnosis, treatment, and admin work, but success needs fair, safe rollout that builds trust. Poor data, bias, bad design, and unclear rules slow progress. Strong data, clear models, and smooth workflow fit are key, along with training for doctors and open talks with patients. AI can aid behavioral … Continued

Chatbot technology in healthcare uses AI and natural language processing to answer patient questions, automate routine tasks, and support care anytime. It can schedule appointments, send medication reminders, share basic symptom guidance, and collect information before a telehealth visit. For example, a chatbot can triage common symptoms and suggest next steps, then route urgent cases … Continued

An AI home care assistant is a smart technology system designed to help seniors live independently and safely at home. These tools use sensors and voice commands to monitor health, detect falls, and provide helpful reminders for medications or appointments. For example, a social robot can chat with a senior to reduce loneliness while automatically … Continued

Conversational AI in healthcare uses chatbots and voice assistants to talk with patients in natural language, helping them get information and support faster. It can answer common questions, schedule appointments, send medication reminders, and guide symptom checks, often 24/7. For example, a patient can describe mild symptoms at night and get guidance on whether to … Continued

A virtual receptionist in healthcare answers calls, schedules visits, and routes messages remotely, helping clinics reduce missed calls and keep calendars full. The biggest pros are lower staffing costs, extended coverage (nights/weekends), and faster response times. The main cons are less “front-desk” warmth, tech downtime risk, and strict HIPAA/security requirements. Done right, it improves flow … Continued

An AI chatbot for healthcare is a virtual assistant that chats with patients 24/7 to answer basic questions, guide symptom triage, book appointments, and support follow-ups. It improves patient engagement by sending reminders, explaining health info in plain language, and helping people stay on track between visits. For example, a diabetes chatbot can suggest daily … Continued

Medical receptionist software is a digital system that automates a clinic’s front-desk operations like scheduling and patient record management. It helps healthcare offices run efficiently by streamlining appointment bookings and verifying insurance eligibility in real time. For example, these tools can send automated text reminders to patients, which significantly reduces the number of missed appointments. … Continued