4 Augmented Analytics Use Cases in Healthcare

Many industries stand to gain from augmented analytics, but healthcare is undoubtedly the most vital industry of them all. Areas like patient care, training, operations, and drug research brim with potential from the application of augmented analytics tools.

Let’s discuss each of these use cases in further detail.

Medical Training

The quality of medical care and patient outcomes to an extent hinge on the aptitude of medical professionals. Augmented analytics fills a critical void in helping to provide higher-quality training to more people, at a reduced cost.

Via digital wearable technology (a la Google Glass), a doctor-in-training could treat a patient while relaying the interaction to a doctor remotely. The doctor-in-training benefits from a real-time evaluation without someone having to be in the room. The patient gets the luxury of two medical opinions for consultation. The whole process reduces the cost of that healthcare visit.

In other cases, a surgeon could use wearables to document a surgery for a remote team of surgeons in training, or keep doctors and medical staff looped into the operation should communication be needed.

Hospital Operations

A considerable part of patient care quality involves patient wait times. Augmented analytics allows employees across a hospital to engage with and understand performance through data.

As Dataversity puts it, “the most notable point is that this new technology augments and enhances “human thinking,” thus, taking most of the intellectual pressure out of daily analytics tasks.”

In a hospital, regular analytics tasks involve hospital staffing, operation costs, patient turnover, wait times and the overall patient experience. Augmented analytics platforms like ThoughtSpot provide instant answers to searched questions, along with answers to additional questions employees didn’t think to ask. Our AI-powered engine serves transparent insights to uncover hidden inefficiencies and key areas to address.

Science & Research

It’s a long road from a drug’s ideation to its delivery to market. Endless research, several stages of clinical trials and the ability to correctly tie a breadth of historical genomics data into trial findings all play a part in developing important medicine.

Using a search-driven augmented analytics platform lets scientists and researchers interact with their mountains of crucial data in a digestible way. With AI-powered insights, correlations, trends and anomalies that otherwise may have been missed come to light — both strengthening a drug’s makeup and decreasing the development lifecycle.

Third-Party Data Governance

Of course, a huge obstacle for healthcare organizations in adopting augmented analytics is concern over data governance and security, especially when sharing information to partners and supplies. ThoughtSpot provides decentralized access levels so employees can access the information they need to inform their workflows, but nothing beyond their scope. Additionally, embedded analytics brings data access to various parts of a healthcare company’s ecosystem via API-customized portals, tools and apps.

Learn more about how ThoughtSpot’s augmented analytics platform helps the healthcare industry when you watch our webinar: Search-Driven Analytics for Healthcare.

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