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Author: woodthom2

content/en/blog/clinical-trial-research-data-harmonisation.md

@@ -27,7 +27,7 @@ Clinical trials and research data harmonisation principles are indispensable for
 
 ## Understanding Clinical Data Harmonisation
 
-Clinical data harmonisation entails the process of integrating, standardizing, and reconciling data collected from disparate sources to facilitate seamless interoperability and analysis. In the context of clinical trials, harmonisation aims to mitigate the challenges associated with data heterogeneity, variability, and inconsistency, thereby enhancing the reliability and reproducibility of research findings. By establishing common data elements (CDEs), terminologies, and protocols, harmonisation fosters a cohesive framework for aggregating, comparing, and synthesizing clinical data across multiple studies and domains.
+Clinical data harmonisation entails the process of integrating, standardizing, and reconciling data collected from disparate sources to facilitate seamless interoperability and analysis. In the context of [clinical trials](https://clinicaltrialrisk.org/clinical-trial-informativeness/), harmonisation aims to mitigate the challenges associated with data heterogeneity, variability, and inconsistency, thereby enhancing the reliability and reproducibility of research findings. By establishing common data elements (CDEs), terminologies, and protocols, harmonisation fosters a cohesive framework for aggregating, comparing, and synthesizing clinical data across multiple studies and domains.
 
 ## Importance of Clinical Data Harmonisation
 {{< image src="/images/Importance of Clinical Data Harmonisation.webp" alt="Importance of Clinical Data Harmonisation" title="Importance of Clinical Data Harmonisation" >}}

content/en/blog/data-harmonisation-examples-business.md

@@ -81,7 +81,7 @@ Harmonising data across cultures sheds light on the fabric of society. This coul
 
 ### **8. Accelerating Drug Development**
 
-Data harmonisation in clinical trials is able to speed up medication's journey to those in need. It can lead to medical breakthroughs and save many lives. Imagine the future of healthcare, where waiting years for vital treatments becomes a part of the past.
+Data harmonisation in [clinical trials](https://clinicaltrialrisk.org/nlp-in-pharma/) is able to speed up medication's journey to those in need. It can lead to medical breakthroughs and save many lives. Imagine the future of healthcare, where waiting years for vital treatments becomes a part of the past.
 
 ### **9. Improving Supply Chains**
 

content/en/blog/data-harmonisation-public-sector.md

@@ -134,7 +134,7 @@ Similarly, feature-wise harmonisation will reduce the bias of extracted features
 
 Both sample-wise and feature-wise data harmonisation in [healthcare](/data-harmonisation/data-harmonisation-in-healthcare) can reduce the underlying variances and, therefore, noticeably improve the performance and effectiveness of analysis.
 
-For decades, computational data harmonisation has been proposed for digital healthcare research studies. However, until and unless data harmonisation is performed effectively, bridging the basic science research models and data fusion models into a multicentre, multimodal, and multiscanner medical practice as well as clinical trials – can be very challenging.
+For decades, computational data harmonisation has been proposed for digital healthcare research studies. However, until and unless data harmonisation is performed effectively, bridging the basic science research models and data fusion models into a multicentre, multimodal, and multiscanner medical practice as well as [clinical trials](https://clinicaltrialrisk.org/clinical-trial-informativeness/) – can be very challenging.
 
 This [research paper](https://www.sciencedirect.com/science/article/pii/S156625352200015X) recommends the CHECDHA criteria to help researchers conduct data harmonisation studies in a standardised format, thus, advancing academic reproducibility and development.
 

content/en/blog/data-standardisation-vs-harmonisation.md

@@ -182,7 +182,7 @@ Various industries have benefitted from using Harmony. For instance, in healthca
 - **Impact**: The utilization of Harmony to combine data from diverse climatic studies has led to the development of comprehensive environmental models. These models are playing a crucial role in climate change research by providing researchers with valuable insights and data-driven predictions. The impact is substantial, as it enhances our understanding of environmental changes, contributes to more accurate climate models, and supports efforts to address and mitigate the effects of climate change.
 
 3. **Case Study 3**: A pharmaceutical company using data harmonisation for clinical trial data, leading to more accurate and reliable drug efficacy assessments.
-- **Impact**: Data harmonisation in clinical trial data has resulted in more accurate and reliable assessments of drug efficacy. This impact is profound in the field of pharmaceuticals and healthcare. It has improved the ability to evaluate the effectiveness and safety of drugs, ultimately leading to better treatment options for patients, shorter drug development cycles, and advancements in medical science.
+- **Impact**: Data harmonisation in clinical trial data has resulted in more accurate and [reliable assessments of drug efficacy](https://clinicaltrialrisk.org/rct-risk-assessment/). This impact is profound in the field of pharmaceuticals and healthcare. It has improved the ability to evaluate the effectiveness and safety of drugs, ultimately leading to better treatment options for patients, shorter drug development cycles, and advancements in medical science.
 
 4. **Case Study 4**: A retail chain implementing data standardisation for inventory management across different locations, resulting in improved supply chain efficiency.
 - **Impact**: The implementation of data standardization for inventory management across different locations within a retail chain has brought significant improvements to supply chain efficiency. This impact is a prime example in the business sector. It has streamlined inventory processes, reduced errors, optimized stock levels, and ultimately enhanced the overall operational efficiency of the retail chain. This results in cost savings and improved customer service.