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Clinical Knowledge Management Systems Articles & Analysis

5 articles found

Using artificial intelligencepowered evidence-based molecular decision-making for improved outcomes in ovarian cancer

Using artificial intelligencepowered evidence-based molecular decision-making for improved outcomes in ovarian cancer

This white paper details a study by Predictive Oncology and UPMC Magee-Womens Hospital. By combining the assets and domain expertise of both organizations, this collaboration aimed to improve ovarian cancer prognosis and treatment through accurate patient stratification and survival outcome predictions. Background and objective High grade serous carcinoma (HGSC) of the ovary is a complex and ...

ByPredictive Oncology Inc.


Clinical Data Management: What Are The Key Challenges And How To Navigate Them?

Clinical Data Management: What Are The Key Challenges And How To Navigate Them?

One of the biggest challenges clinical data management faces is the sheer amount of data that needs to be processed. With more and more patient data becoming available, it can be difficult for CDM systems to keep up. In addition, many CDM systems are not user-friendly or interactive, making it difficult for users to get the most out of them. What challenges do clinical data management systems ...

ByClinion


How eCOA Improves Patient Experience and Data Quality

How eCOA Improves Patient Experience and Data Quality

With the rising demand for improving patient safety in clinical trials, the adoption of patient-centric solutions is considered the best route to enhance data accuracy and experience automated workflows. This is where eCOA comes into play. In this blog post, we will find out how electronic clinical outcome assessments are helping the clinical trials industry handle the ever-growing list of ...

ByClinion


Essential Clinical Trial Systems for Small, Midsize, and Large Pharma

Essential Clinical Trial Systems for Small, Midsize, and Large Pharma

Revisiting the “why” behind decision making can be a helpful exercise in all aspects of business. This is no less true for clinical operations executives when it comes to the clinical trial systems they employ to facilitate their teams’ work. The technology that supports clinical trial systems has evolved steadily over the past several decades, yet the ultimate goal of ...

BySeascape Clinical


Knowledge representation issues in ontology-based clinical Knowledge Management systems

Knowledge representation issues in ontology-based clinical Knowledge Management systems

Clinical Knowledge-Management (KM) represents a specific category of KM that requires specific support. Clinical knowledge mixes formal scientific knowledge with a person-culture in which the expertise of clinicians is key. ...

ByInderscience Publishers

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