Medical data comes in different formats like X-Rays, etc and from various points of contacts like email, instant messaging, and so on. Healthcare providers are often confused in how to streamline this data inflow. This also leads to fragmentation of data storage, or data being saved in silos.
Many a time, front-end and back-end IT and analytics operations are not designed to dove-tail into each other, and healthcare providers are unable to store patient interactions in one central repository.
If patient data is not updated in real-time, to be seen by the back-end, there is also the possibility of employees not being able to view them in real-time, thus giving wrong medical advice, which could lead to errors in medication, and eventually to legal problems.
Services and platforms that will transform patients’ data into actionable insights to deliver an enhanced customer experience. Express Analytics healthcare analytics solutions do everything — assimilation, compilation and cleansing of big data.
Based on this, we also provide descriptive and predictive analysis. Customer segmentation is another of our specialties. Based on your ideal customer profile, our solutions help segment the market to find your best prospects. We also offer patient care analytics solutions.
Risk scores is another of our specialties. These scores are created based on parameters like laboratory reports, biometric data, patient-generated health data, all of which gives insight into which individuals might benefit from enhanced services or wellness activities.
Use our healthcare analytics solutions to help your managers operate with real-time information and to deliver actionable insights. After all, healthcare analytics offers in-depth information in hospital management, including patient records, diagnoses, and so on.
One of the immediate benefits of deploying healthcare analytics is to proactively identify patients who are at highest risk of poor health outcomes. Predictive analytics is important for risk management for providers.
The deployment of data analytics also leads to the development of data culture, and the insights can be used to support decision-making. Healthcare providers can also cut down on overheads and on healthcare costs, and also provide better healthcare.