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Clinical Management System 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

Only 20% of patients with ovarian HGSC will be long-term survivors, but no current clinical data can accurately predict which patient will be a short- or long-term survivor. ...

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?

What challenges do clinical data management systems currently face? Clinical Trial Complexity The modern clinical trial design requires real-time data modelling and simulation to provide reliable information that supports faster decision making and reduces development time, costs, and late-stage research ...

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. ...

ByInderscience Publishers

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