ThoughtSpot for Healthcare
& Life Sciences Analytics

What if your scientists could analyze drug
results in seconds?

With ThoughtSpot, anyone can search to analyze billions of rows of data from any source - from biometrics, to hospital inventory levels, patient results, even health sensors - in seconds.

Example Search #1: Total Readmitted Last 30 Days

Example Search #2: Patient Count by Specialty

Example Search #3: Total Revenue by Brand

Now everyone can make smarter decisions to
improve patient care.

Whether you’re a doctor, lab technician, hospital operations manager, or
pharmaceutical sales rep, you can get instant answers with ThoughtSpot.
Below are a few use cases by role.

Pharmaceutical Reps

Increase sales with instant access to physician data and patient outcomes for better cross-sell and up-sell opportunities.

Hospital Managers

Maximize efficiency by analyzing staffing levels, patient turnover and hospital wait times, reducing costs and improving the patient experience.

Scientists & Researchers

Speed up drug discovery with the ability to analyze clinical trial results and historical genomics data, decreasing the time to market for life saving drugs.

"Our scientists can now search instantly across trial results and identify outliers in minutes rather than months."


Improving Patient Care with Health Claims Data

See how Availity, a leading health tech services provider, is helping medical providers across the US improve quality of care with fast data insights.

Launching a Winning Cloud Analytics Strategy

Learn how innovative organizations are incorporating cloud technologies into their analytics strategies to get a 360 degree view of their customers and products.

Live Query Azure Synapse with ThoughtSpot Embrace

See how ThoughtSpot Embrace lets you run queries directly in your Synapse cloud data warehouse to give you the most up-to-date insights.

The best companies use ThoughtSpot

Frequently asked questions

What is healthcare analytics?

Healthcare analytics is used in the healthcare industry to understand past trends, optimize operations, and make predictions about the future. It can be utilized at both the micro level with individual patient outcomes, as well as at the macro level with broader industry-wide trends.

Since the healthcare industry is broad and involves many different types of organizations, there are numerous applications of healthcare analytics. For example, pharmaceutical companies can run bioinformatic models to find novel new drugs, primary care providers can cross-reference patient electronic health records (EHRs) with hospital databases to perform more accurate diagnoses, and insurance providers can use various third- and first-party datasets to perform their actuarial analysis more efficiently.

Whatever the use or application, properly leveraged analytics data helps organizations make faster and more accurate decisions that ultimately improve the outcomes for patients.

Why is healthcare analytics important?

As we learned from the COVID-19 pandemic, it’s essential that the healthcare industry is able to quickly respond to new threats — be it a new virus variant or a supply chain bottleneck. Yet, traditional methods of healthcare are no longer sufficient to meet these fast-moving threats.

Healthcare analytics allows all different types of organizations to leverage the vast amounts of data produced from drug trials, hospitals, electronic health records, supply chains, and much more to better understand both macro and micro trends to get ahead of issues and ideally even predict their path.

For example, throughout the pandemic, the healthcare industry has been constantly dealing with new variants of the virus, while simultaneously addressing supply shortages that limited its ability to fully respond. The good news is that due to new sequencing, data collection, and statistical modeling techniques, we’re actually able to track the spread and mutations of the viruses with pretty high levels of accuracy. This allows doctors and policy makers to prepare for new spikes in cases, while providing pharmaceutical companies valuable data to begin preparing new vaccines and treatments.

What are the benefits of using healthcare analytics?

Healthcare analytics offers a range of benefits that can help enhance patient care, improve operational efficiency, and reduce costs. Here are four key advantages of healthcare analytics:

1. Improved Quality of Care: Healthcare professionals can use healthcare analytics to improve quality of care by identifying patterns in patient data that can lead to improved treatments and better outcomes for patients. WIth the move to EMRs and EHRs, healthcare analytics can tap into the wealth of data to provide critical insights for healthcare providers about individual patients, the efficacy and effectiveness of different treatment plans, and track patient adherence. In doing so, analytics tools provide insights into treatment trends and patient behavior, enabling providers to make more informed decisions about care.

2. Cost Savings: Healthcare providers and insurers can leverage healthcare analytics to identify inefficiencies and reduce costs by providing insights into the most cost-effective ways to deliver care. Analytics tools can also help pinpoint areas of waste and mismanagement, as well as opportunities to streamline, enabling providers to make more informed decisions about how to allocate resources.

3. Improved Efficiency: In healthcare, time can literally save lives. With healthcare analytics, organizations can optimize operations and improve efficiency by providing a comprehensive view of patient data. With the right analytics tools, healthcare professionals can ask their own data questions to track performance over time, identify trends in patient care, and make informed decisions about how to allocate resources. This helps providers to better manage their resources and ensure that the most effective methods of care delivery are being utilized.

By leveraging the power of healthcare analytics, providers can gain actionable insights into patient data that can lead to improved outcomes, cost savings, and higher efficiency. These advantages make healthcare analytics an invaluable tool for healthcare organizations seeking to enhance the quality of care they provide and improve patient outcomes.

How does ThoughtSpot’s pricing work?

ThoughtSpot Team Edition is available at a flat $95 monthly subscription. You can easily sign up from our Free Trial and pay using a credit card. Once you subscribe, you will be billed $95/month until you cancel.

For other product editions, ThoughtSpot uses a consumption-based pricing model that lets you pay for what you use. Your annual contract consists of a base package that includes a set of credits that lets you execute a certain number of queries against a data source. You can purchase additional credits as part of your contract if you need more.

Is there a seat license limit for ThoughtSpot?

No. Unlike other products, our pricing model uniquely lets an unlimited number of users access ThoughtSpot.

Is there an annual subscription option for Team Edition?

You are billed a flat $95 monthly fee for Team Edition. There is no annual subscription option for Team Edition. Other ThoughtSpot product editions are licensed via annual contracts.

Is there an annual subscription option for Team Edition?

You are billed a flat $95 monthly fee for Team Edition. There is no annual subscription option for Team Edition. Other ThoughtSpot product editions are licensed via annual contracts.

Have another question?

Contact us and tell us what you need and we can help you find the right solution.

Insights at the speed of thought.