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The proliferation of data, resource constraints and internal bias are forcing changes in the way we search for and use IP information. IBM Watson speeds the data understanding, increases the accuracy of the analysis, and increases the number and quality of insights to IP questions for Evidence of Use, Prior Art, Maintenance, Office Actions and Landscaping.
We will discuss the many use cases for applying AI to IP and when in the design cycle this should happen.
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Proliferation of electronic medical records caused a revolution in the previously slow-moving healthcare IT space. Possession of large volumes of patient data and scientific knowledge in medicine leads to new opportunities in analytics - from patient safety to predictive modeling to intelligent management of payment models. Walls between multiple data types in healthcare - life sciences, provider care, medical device engineering - have come down to pave the way for new border-crossing technologies taking advantage of the wealth of data. However, data overload and abundance of computer modeling algorithms pose their challenges. This presentation introduces the audience to this new world of opportunities and challenges for AI in medicine.
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Risk Management considers safety as the primary stakeholder need - a system must function as intended, in its intended environment, safely.
ISO 14971 (and its pending updates!) serve as the de facto standard for the application of risk management to medical devices. Join INCOSE Chicagoland and SME, Mike Gut to learn about the requirements for risk management and how they determine the safety of a medical device by the manufacturer during a product's life cycle.
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The Health Care Working Group, with support from the Chicagoland chapter is holding its 3rd annual Agile Methods for the Development of Healthcare Systems 2017 conference, May 16-17 in Chicago, IL.