Unlock the value of your unstructured clinical data
CareIndexing provides natural language processing based on machine- and deep learning models to transform disparate clinical data into structured formats.
CareIndexing transforms unstructured text into a structured and usable format, based on machine- and deep learning models, NLP (Natural Language Processing). These unique features minimize time spent on manual indexing, optimizes the work flow for health care professionals and improves data analysis and research.
Words from our CEO
Read our CEOs’ take on interoperability and vision for the future of NLP solutions.
“Implementing CareIndexing and a NLP solution to your healthcare organisation will give accurately use to the unstructured data. Improved quality of data will in that way contribute to better patient care through better usage of data. This is something we at CareIndexing are very proud to be a part of.”
JACOB BOYE HANSEN
CEO & Founder, CareIndexing
Latest news and upcoming events
DNV And CareCom Launch CareIndexing: A New Company Shaping Up Disorderly Clinical Data With Artificial Intelligence
CareIndexing will use natural language processing to rapidly structure vast quantities of unorganized clinical information. The joint venture between DNV and CareCom will help the healthcare sector to share data
What will we gain from interoperability? How far are we on the interoperability journey? Newcomer or expert, we all need to join the conversation. Let’s start off with defining some areas so
Applied Population Health Applied Population Health is defined as, “the use of the EHR system to identify patients in need of evidence-based interventions and facilitate action to address care gaps”.