AI In Healthcare Use Case #8: PulsePoint

Sam Mire

Disruptor Daily

June 21, 2019

This interview is part of our new AI in Healthcare series, where we interview the world's top thought leaders on the front lines of the intersections between AI and healthcare.

In this interview, we speak with Dmitry Spikhalskiy, Director of Data Science and Engineering at PulsePoint, to understand how his company is using AI to transform healthcare, and what the future of the industry holds.

1. What's the story behind PulsePoint ? Why and how did you begin?

DS: PulsePoint was founded in 2011 after the merger of Datran Media and ContextWeb, and operated successfully as a programmatic technology company. Since 2016, we have leveraged our legacy programmatic ad technology to address challenges in healthcare. By using automation, AI and proprietary tools, we interpret the hard-to-read signals of the customer journey and help healthcare organizations improve how they provide care, education, and support to the people who need it most.

2. Please describe your use case and how PulsePoint uses artificial intelligence:

DS: In healthcare, AI diagnostic systems have the capacity for prediction and prevention, identifying concerning trends or habits that doctors cannot recognize before real and clear symptoms develop. As a result, AI systems supplement human capabilities for standard work and diagnostics, where statistics become powerful, but a trained doctor will still be needed for special cases when broader expertise, deep understanding of fundamentals, and systematic scientific approach is required.

PulsePoint’s AI platform refines and improves its view of patients and medical practitioners over time and is the backbone for the healthcare brands looking to classify the digital activity of patients into condition and patient populations.

3. Could you share a specific customer/user that benefits from what you offer? What has PulsePoint  done for them?

DS: A top pharmaceutical brand challenged us to a head-to-head, Direct-to-Consumer (DTC) audience quality test where our AI platform outperformed four other programmatic partners. We were able to deliver higher audience quality matched and cost efficiencies.

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