Health Data Management, a news website dedicated to delivering insightful analysis of technology trends, tools and strategies shaping healthcare's future, has named Clinithink as one of the leading AI companies in healthcare.
The two part article aims to highlight how the use of deep learning, machine learning and other AI approaches in healthcare is rapidly increasing. To demonstrate this, Health Data Management has published a list of leading e-health companies bringing a variety of approaches to the use of AI in the industry.
In the article Health Data Management states that:
“Clinithink’s intelligent data query platform gives healthcare and life sciences organisations the ability to extract value from unstructured data. Having recognized unstructured narrative as a rich source of information, CLiX makes accessing this untapped resource possible to support analytics and decision making. CLiX, was developed to enable interoperable access to and meaningful use of the volumes of existing unstructured, untapped clinical text typically locked inside electronic medical record systems and other clinical systems.”
On being named by Health Data Management, CEO of Clinithink, Dr Chris Tackaberry, said: “We are delighted to be recognised for our contribution to healthcare transformation and look forward to helping many more organisations make use of valuable, existing unstructured health data to drive insights, improvements and data-driven healthcare.”
The full article can be found here.
Clinithink is the healthcare industry’s preferred text analytics provider, enabling innovative discoveries through the interrogation of unstructured data. CLiX accelerate automates the process of reviewing narrative written by clinicians, as well as various documents and reports. This is achieved by designing CLiX Queries, within an intuitive user interface, which match study inclusion and exclusion criteria. The CLiX natural language processing (NLP) engine allows it to “read” and encode millions of documents against these queries, thus producing a list of highly eligible and priority patients who match the study criteria.
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