Transforming Healthcare with Data Analytics

1. Transforming Healthcare with Data Analytics

2. Making the world a better place with the help of advancements in technology, is a primary focus for governments, institutions and companies the world over, and in no industry has this continued to be more powerful, than healthcare. With the digitization of healthcare records and care delivery progressing with every passing year, and wearables, apps and AI helping healthcare employees cope with their over stretched systems and workloads, IT and technology are continuing to advance the industry in leaps and bounds.

3. When it comes to data analytics, while medical professionals have been gathering valuable data from patients for many years now, digitization and the steady rise of big data, are enabling doctors and specialists to improve their diagnoses and better analyze a wide range of issues, from symptoms to pharmaceuticals and dosage. Big data can also help to reduce costs for medical facilities and improve overall efficiency, but its primary purpose is to help the healthcare industry in a much more direct way. How data analytics helps prevent errors and infections: Avoiding treatment mistakes and/or post-operative infections is made much easier with the help of data analytics.

4. The business intelligence harvested from the data, one can help medical professionals make actionable decisions that ultimately, help them give better care to their patients. Some healthcare facilities reported that after introducing more data-centric practices, they were able to reduce avoidable harm by up to 40%. Helping to eliminate diseases: Providing us with the tools to eradicate deadly diseases, data analytics, for example, is helping governments in countries affected with millions of cases of Malaria each year, to eliminate the disease completely.

5. Training healthcare workers to use data to track, report and treat diseases like Malaria, helps them to better understand, manage and prevent it, while significantly reducing response times, too. How to make the most of data analytics: Data must be used properly in order for it to be truly effective though, and healthcare workers must be able to access it when needed and receive it in real-time (or as close to that as is possible) to be able to make accurate, data-driven decisions for the wellbeing of patients.

6. One vital measure to take when implementing data analytics in any medical facility, is to ensure that the relevant healthcare employees have been trained how to use the data and what questions to ask to receive the right actions. Big data and data analytics are immensely powerful tools, but without the right people to use it, their significance becomes lost. If you’re considering using more data-centric approaches in your company or healthcare facility, be sure to talk in detail to professionals who are qualified experts in the use of data analytics to ensure that you reap the most rewards from it.

7. Agile Scientific is a life sciences organization that brings decades of industry knowledge, expertise, processes, best practices, and systems to companies. Agile Scientific’s clinical services function to accelerate all facets of drug development, ensure compliance at a global level and optimize pipeline value / ROI. Agile Scientific Group LLC is fortunate to partner with smaller virtual organizations and Fortune 500 Life Sciences companies alike. We have extensive experience providing focused, pragmatic clinical solutions to our sponsor Life Science organizations and CRO’s across all areas of Drug Safety, Regulatory Affairs, HEOR / Pharmacoepidemiology, Quality Assurance.