Healthcare Archives

Unlocking important RWE from patient data (Part 3) – Can we find all the relevant patients?

In our final installment of this series, we demonstrate how to extract a relevant subset of patients from the simulated data using two approaches – one using SciBite tools and one without.
Read
Unlocking important real world evidence from patient data (Part 2) – Data domain deep dive

In this part of our blog series, "Unlocking important real-world evidence from patient data," we will demonstrate our expertise in various important data domains using SciBite tooling, including problem list diagnoses, lab orders, and medication orders.
Read
Unlocking important RWE from patient data (Part 1) – Why and how?

In this three-part blog series, we explore the challenges healthcare organizations face in unlocking patient data for real-world evidence. In part 1 Unlocking Important Real World Evidence (RWE) from Patient Data – Why and How?
Read
Healthcare digital transformation challenges: Can we enable healthcare systems to trust their data?

At SciBite, we are passionate about enabling organizations to make full use of their data to help them make evidence-based decisions, especially to help organizations overcome their healthcare digital transformation challenges. To support organizations on this journey, we offer a suite of products to help organizations adopt FAIR data standards.
Read
Delivery of precision medicine through alignment of clinical data to ontologies

Precision medicine is changing the way that we think about the treatment of disease, moving from broad-acting therapies to therapies tailored to the individual patient. This increasingly relies on real-world data (RWD), encompassing a diverse range of sources, spanning multi-omic molecular characterisation of the patient’s condition, clinical presentation, treatment, and broader medical histories.
Read
Unlocking patents as a data source in the Life Sciences

Throughout this blog we highlight some complexities that exist in extracting meaningful information from patents and show various solutions, making use of SciBite technology alone or, augmented by or delivered by our partners.
Read
Using scientific data technology to access the emerging trends in immuno-oncology research

In this blog, we explain more about our Immunonc vocabulary, comprising the concepts relating to this field, which enables our customers to be better informed about the current advances and emerging trends in cancer immunotherapy research, keeping them at the forefront of cancer treatment.
Read
The pivotal role of semantic enrichment in the evolution of data commons

In this blog post, discover how Pfizer have integrated SciBite’s semantically enriched vocabularies into their Data Commons project, which has the goal of enabling scientists to develop and refine hypotheses by investigating correlations between genetic and phenotypic data.
Read
Text mining drug labels for genetic factors influencing efficacy and safety

Only 50-75% of patients respond beneficially to first-line drug therapy, causing unnecessary costs to healthcare providers and, more importantly, adversely impacting a patient’s quality of life. Text mining drug labels for genetic factors influencing efficacy and safety to support clinicians at the point of prescription.
Read
Rare disease collaboration networks

Disease Detective Part 1: In celebration of Rare Disease Day 28th Feb, we have a 3 part blog post looking into some of the challenges/analysis techniques involved in the research process.
Read