"Latest Publication - JAMA Ophthalmology - Automated Machine Learning for Predicting Diabetic Retinopathy Progression From Ultra-Widefield Retinal Images, Feb 8, 2024"-

Data And Image Analytics in Healthcare at Estenda

Data and image analytics are revolutionizing the healthcare sector by providing real-time insights into patients’ health. This process of extracting valuable information from data and images helps doctors and healthcare professionals make better-informed decisions. The demand for data and image analytics is on the rise as we seek to gain insights from that data. Data analytics helps organizations make better decisions by understanding trends and patterns in data. Image analytics, on the other hand, helps organizations understand images and videos. 

With the rise in demand for data and image analytics, there is also a need for better tools and technologies to help organizations make sense of data. 

Healthcare is one of the most data-intensive industries in the world. At any given moment, there are hospital systems, insurance companies, and research organizations generating and collecting data on patients, treatments, and outcomes. Both data and image analytics are important tools that can be used to improve the efficiency and effectiveness of healthcare. The sheer volume of data being generated by the healthcare industry presents a challenge for those who want to make use of it.  

The data analytics process involves the use of techniques such as machine learning, artificial intelligence, and statistical analysis to make sense of large data sets. This process can be used to identify trends and patterns in disease, understand how treatments are working, and predict future health outcomes.  

Data and image analytics in healthcare are changing the way we deliver and receive healthcare. It is providing insights that were not previously possible, and it is helping to improve the quality of care for patients. 

Estenda has wide-ranging and diverse experience working with data. We have enterprise experience with AWS and Azure, handling billions of records and millions of images, navigating global regulatory and privacy regulations from HIPAA to GDPR. 

Clinical decision systems, dashboards, and artificial intelligence (AI) systems depend on healthcare data analytics. That data must be curated, cleaned, normalized, transformed, and made available.  

Creating effective data governance strategies and processes takes experience. Crafting the right digital healthcare software solution to access and analyze the data and images allows it to be effectively transformed into information, knowledge, and ultimately wisdom.  

Estenda has it all! 

Creating the right solution is a journey. We first seek to understand our client’s needs and challenges and craft a solution together through our collaborative Innovation Lab!¬†¬†

www.estenda.com/innovationlab for more information on registering for our next Innovation Lab! 

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