Healthcare Analytics

Healthcare Analytics Solutions For Rapidly Transforming Healthcare & Wellness Sectors

Critical Issues Facing Healthcare


All online interactions between healthcare providers and patients involve dealing with data. Providers will need to find ways of maintaining and easily accessing this data. Even though more and more healthcare data is being generated every day as compared to before, it’s scattered across multiple parties and channels.


There’s no single “source of truth” that healthcare providers can use to optimize patient experience. Storing and managing patient data is one of the biggest challenges in this sector. What’s also missing is an efficient patient/consumer experience to resolve queries.


Where some measure of data science is implemented, only the top leadership has access to this data, but it’s very important for every employee to have access to the most up-to-date patient information from one centralized location.


Healthcare Analytics Situation


As an industry, Healthcare analytics is undergoing rapid transformation. The digitization of products and services is unlocking previously impenetrable segments. The Health, Wellness and Beauty online markets have moved on from being mere e-commerce portals to a complete digital marketplace.

Customers and patients want a highly personalized experience. There’s a new world today called “healthcare consumerism”, which is similar to the retail-buying experience. Added to this are the wearables such as fitness bands which emanate sensor-driven data. In today’s digital world, the practice of technology-driven healthcare has created opportunities as well challenges for medical practitioners.

There’s a shift from the traditional doctor’s visit to virtual patient interactions. ‘Internet medical advice’, involving the use of “electronic communication” tools such as online chat, is dispensed not only for treating common conditions such as flu, but also to manage chronic illnesses. For the ever-increasing community of tech-savy millennials, e-commerce models with personalized UX/UI will be the favored marketing channels for health, medical and beauty products.

Reasons for Critical Issues

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.

We Provide Healthcare Analytics

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.

Benefits Of Healthcare Analytics

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.

Interested in taking this further?