The Strategic Integration of Artificial Intelligence & Human Intelligence

A lifetime ago, when I was serving as a Naval Intelligence Specialist in the U.S. Navy, I was taught how to (manually, mind you) take an enormous amount of data, distill it down to what was cogent to the mission at hand, provide context, and communicate it on an executive level.  IPOS/Mission Planning in the Intel Center aboard the U.S.S. Ranger, CV-61 (I told you it was a lifetime ago!) received three separate deliveries of approximately twelve hundred paper pages of data from the Cryptologist every day.  Someone had to read it and make sense of it all.

From Data to Information to Knowledge to Wisdom

By parsing and sorting the data within the context of our mission at hand, we were charged with turning the raw data into actionable information.  Over the course of our deployment, this discipline built up institutional knowledge within the Intel Center.  Over multiple deployments across multiple aircraft carriers, this knowledge evolved into organizational wisdom throughout the fleet.  The strategic use of AI can emulate, and in fact accelerate, this process for Medical Device and Life Science companies.

Target Product Profiles

Perhaps one of the best examples of a business intelligence dashboard is the Target Product Profile used by biologics and drug development companies.  It’s a remarkable document.  A single page that pulls together all of the mission-critical, cogent information surrounding a therapeutic asset under development.  It’s a cumbersome document to put together, and perhaps it’s even more cumbersome to keep updated overtime.  That’s where Agentic AI can help!

Target Product Profiles typically include:

• Product Overview

• Indication for Use & Target Population

• Safety & Clinical Efficacy

• Dosing & Administration

• Regulatory Strategy

• Health Economics and Outcomes Research (HEOR)

• Real-World Evidence (RWE)

• Market Access & Pricing Strategy

• Differentiation & Competitive Landscape

• Lifecycle Management Plan (including post-market surveillance)

Like I said, it's a dense, multifaceted document that supports a variety of management disciplines throughout the organization. One of the first steps in automating a TPP with Agentic AI is the development of a Use Case. Here's an example of a Use Case for a injectable asset:

AI Use Case for Target Product Profile.pdf

Download PDF • 707KB

In examining the Use Case, you can see how AI Agents are assigned to each subsection of the TPP. Each Agent has a different task. As you walk through the document, you'll see the example datasets each Agent is assigned to complete their task of data gathering over time. These are just examples, actual datasets would be identified and refined over time.

The Agents work iteratively, too, cycling through their assigned processes on an ongoing basis to continuously update the TPP. Prior to issuing the TPP, a human-in-the-loop would check it for accuracy of datasets and resulting information the TPP delivers to the organization. Taken together, a TPP is, in effect, a single page knowledge capsule for decision-makers. Taken as a portfolio of multiple asset targets, institutional knowledge is captured. Over time, this builds accessible organizational wisdom on various classifications of assets and/or disease states.

The key to the successful integration of Artificial Intelligence tools with Human Intelligence actors is in the planning of and architecture of the Use Cases. From there, the process can be refined on an ongoing basis to deliver a distinct, strategic advantage to the organization.

For more information on how Performance Transformation can help your organization navigate the AI frontier, please reach out to terry@performtransform.com or call at (828) 808-2955.

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