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When an Air Canada customer asked the airline’s website chatbot about bereavement fares, it told him he could book first and claim the discount within 90 days. The same answer linked to a policy page saying retroactive requests weren’t allowed. The passenger followed the chatbot’s instructions and later had his refund request rejected. The civil tribunal found the airline liable for negligent misrepresentation after concluding that he’d reasonably relied on the inaccurate guidance. The correct i

A health database rarely captures the exact clinical state a researcher wants to study. It contains traces of that state: diagnoses, medication orders, laboratory results, procedures, changes in the level of care, and clinical notes. These records support care, communication, billing, and hospital operations. They were not created for future research questions. Computable phenotyping turns these traces into an algorithm for identifying patients, clinical events, or periods of interest. The proce

This April, Polina Talapova and Mariia Pahur represented SciForce at the 7th European OHDSI Symposium in Rotterdam – three vivid days of workshops, poster sessions, MindMeetsMachines mapping competition and an oral presentation aboard the SS Rotterdam, a retired ocean liner moored on the Maas river. The symposium's theme was Continuous Collaboration for Living Evidence Generation. The word "living" matters here. Traditional evidence-generation projects are often designed as discrete studies. A

Building a telehealth platform at clinical scale means solving for hospital network restrictions, HIPAA compliance and auditability, and the data load of continuous remote monitoring – and the architecture decisions that determine whether it holds up are mostly made in the first few sprints. The engineering debt from early decisions starts showing up at scale: video sessions dropping when hospital firewalls, restrictive egress policies, or network address translation prevent a direct media path;

In 2025, the world’s data centers consumed 485 terawatt-hour of energy, with AI-related demand growing at 50%. By 2030, the consumption is expected to reach 950 TWh – twice as much as today, and equals approximately the entire electricity consumption of Japan. Goldman Sachs forecasts that about 60% of new demand will be met by burning fossil fuels, increasing global carbon emissions to 220 million tons. And as the chart below shows, the emissions cost escalates sharply with each new generation o

Equipment failures don't happen out of the blue: pressure drifting lower, or a slightly different vibration pattern precedes the failure over weeks or months. None of these is big enough to cause an incident on its own, but the trend would show that action is already necessary. BlueScope, an Australian steel manufacturer, used to monitor their equipment through visual checks and basic low-level switches, until they introduced Siemens Senseye predictive maintenance system. Half a year after insta

In 2018, a clinical informaticist launched a tool to handle intake forms and clinical notes so doctors could spend less time typing and more time doctoring. A small study with 18 medical students suggested that the Cydoc smart intake form could substantially reduce note-writing time while maintaining note quality, although broader validation in practicing clinicians was still needed. By August 2025, the company was gone. The postmortem names the main reason: Cydoc lived outside the EHR. Doctors

The COVID-19 pandemic changed how healthcare works. When in-person visits dropped, telehealth, remote monitoring, and home care quickly became necessary, and many of these solutions are now here to stay. Virtual hospitals and AI copilots are leading this shift. Virtual hospitals use video calls, remote monitoring, and mobile care teams to deliver hospital-level care at home. AI copilots support clinicians by drafting, summarizing, coding, and prioritizing information, while clinical decisions re