ChartDoc

ChartDoc

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A Next-Gen Patient Management Platform powered by Artificial Intelligence

Photos from ChartDoc's post 10/03/2023

The shortcomings of SAP GRC

Governance, Risk, and Compliance are more important than ever. SAP GRC is meant to address this gap.

09/27/2020

Data in context becomes information. When both the physician and the patient see the health problem in relation to the body, a better end-to-end perspective emerges instantly. Whether on a desktop, laptop, or mobile device, chartDoc serves up context-specific visuals to assist the assessment and diagnosis process. It not only speeds up the process but also generates appropriate questions quicker. Surveyed physicians report delight with the usability (less clicks and better AI-assisted results), while surveyed patients universally express higher satisfaction with the physician. This is a solid step towards bringing value-based care to every patient, where he/she gets the best result at the cost that is most appropriate for his/her budget. The expert physician assisted by AI makes it possible.

09/27/2020

Today everyone and his mother say their product is driven by AI. But much of what is promoted as AI turns out to be the plain old computational algorithm. Not valueless. But not AI. This is akin to a gasoline car with an electric inlet for charging its battery, being advertised as an electric car. Not valueless, but not an electric car. The next time someone says "AI", ask them what are their knowledge representation techniques, how do they extract wisdom from knowledge, is their system self-learning? chartDoc is designed on an AI chassis, driven by an AI engine, and powered by AI knowledge representation techniques such as neural network, semantic network, knowledge graph, rules, frames, and so on. Like all good technology, the complexities of AI are hidden from the users (physicians, nurses, patients, billing clerks, receptionists), but everyone silently benefits from the underlying intelligence-built-by-man. Of course, this is an evolving layer, with the AI chassis firmly in place, and alpha testing in progress on a plethora of AI applications, such as, the automatic determination of ICD codes from the doctor's notes; diagnostic interpretation of lab results and MRI images; clinical diagnostic suggestions on the fly from doctor's notes; robotic assistants for insights; etc.

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