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Data Logistics: A Generation-Defining Leap Forward in Healthcare

Pete McCabe

November 7, 2023

Today, approximately 30% of the world’s data volume is being generated by the healthcare industry. According to the World Economic Forum, less than 3% of that data gets used.¹ By 2025, healthcare will produce more data than any other market segment, and is the least poised to put that data to work.

Our aspiration is simple: every decision in healthcare should be made through the lens of the full patient life story and in the context of all patient’s full life stories.

Examples of the many decisions in healthcare that need more complete data:

A pharmaceutical sponsor deciding on a trial recruitment strategy to ensure a diverse and representative population into a pivotal clinical trial.
A regulator determining whether an intervention that came to market under an accelerated approval pathway continues to provide meaningful benefit in a larger patient population.
A physician making quick decisions in an emergency care setting.
Public health authorities who need real-time data to act quickly and decisively to avoid or contain disease outbreaks, using data to track disease patterns and detect emerging threats.
and so many more…

It isn’t a far-fetched, utopian dream. The data exists. The computational power exists. Analytical capabilities increase everyday. We have a compelling need, in human health. So what is stopping us?

Let’s start by reframing healthcare’s key challenge: a broken data supply chain

We and others in the industry often report that data fragmentation is holding back healthcare. But the underlying issue is bigger than data fragmentation. Fundamentally, the problem is a broken data supply chain.

A functioning data supply chain is one where health data movement can overcome systemic isolation while complying with critical privacy regulations. In healthcare, it would mean data moves and connects securely, compliantly, and frictionlessly.

We benefit from high functioning supply chains every day. Building a car takes 30,000 parts across 4,000 suppliers, from 20 different countries with hundreds of different regulations. That’s fragmentation on steroids. But it comes together like a symphony, and we trust the output of that supply chain with our own safety and the safety of our loved ones.

Assembling a patient’s full, longitudinal health story is similar. It is made up of all the different doctor’s visits, all the medications, treatment history, family history, and social determinants. Doing so should be as efficient as an automaker assembles a car or the way an internet search engine or an online retailer makes information and goods available and useful at the click of a button.

Data logistics is the connective tissue required for a supply chain to operate effectively. The challenges that data logistics help overcome are two-fold:

1. Organizations are reluctant to share health data. Health data is the world’s most personal and precious data — regulated, sensitive, and rightfully, nearly impossible to move. Healthcare is made up of an ecosystem of organizations that need to exchange data, but organizations are reluctant to do so given the strict compliance regulations.
2. Data is not designed to be shared and connected. It is in many formats, much of it paper, and collected across fragmented systems that don’t speak to each other. That requires significant technology and healthcare coding effort to ensure information can be “connected” in a way to create an actual patient journey across settings.

So how can we get an effective supply chain? In the world of physical goods, “multimodal” logistics are the thread that stitch together a supply chain — ocean, air, rail, and trucking. Healthcare data, too, necessitates different “modalities” to facilitate its safe and secure journey.

To assemble the full patient story, logistics capabilities are required across a variety of factors:

authorized consent (e.g. de-identified and identified)
source (e.g. hospital EHR, imaging, genomic data, doctor visits, wearables)
format (e.g. structured, semi-structured and unstructured data)
use case (e.g. clinical decisions, research purposes, health plan optimizations)

From request, to fulfillment, to quality check, to delivery – we need a system agile enough to support each piece of data and the unique attention required to move it in a secure and compliant manner. Properly moving data not only requires an understanding of the healthcare ecosystem, but infrastructure, technology, and massive human coordination.

Data logistics is the critical missing piece to bring the data revolution to healthcare

Datavant is the leading company to bring data logistics to healthcare, so organizations can securely and compliantly move health data from where it sits to where it needs to be.

Datavant brings together all the necessary modalities to ensure that health data moves from where it sits to where it needs to be. Through a series of strategic mergers, Datavant created the biggest ecosystem of deidentified data, the largest footprint of identified data exchange, the industry leading experts in patient privacy, and seamless tools for patients.

For decades, we’ve put in the time to partner with and truly understand the different players across the industry, to discover the best ways of connecting and sharing necessary data, and to build trust that the infrastructure for the compliant exchange of health data is not only now possible, but essential.

Data logistics will change the face of the healthcare industry. Providers can better serve their patients. Health plans can fund high quality care of more patients. Life Sciences companies can develop more breakthrough treatments and preventative health approaches. The public sector can serve the needs of diverse populations proactively and equitably. Private sector companies can make informed and timely decisions. And most importantly, patients — all of us — will live longer, better, healthier lives.

In order to provide data logistics for healthcare, Datavant has built three key pillars of excellence: we protect, connect, and deliver the world’s most precious data.

Protect

We designed Datavant’s solutions to optimally address privacy, compliance, and security. We protect health data, while always ensuring every organization has complete control over how their data is accessed and used.

Connect

We enable data to move from the very beginning with the broadest footprint of providers in the U.S. to reach every patient record. We empower organizations by creating access to relevant data sources, so they can put together all the pieces needed for a complete view of the patient.

Deliver

We deliver data that is relevant and timely. Through technology and our value-added services, we power countless decisions that support clinical, operational, and research questions with the most relevant, usable data.

Data logistics: a tide that will raise all boats

Datavant built a business record by record, request by request. We started at a time when fax machines were the innovation, and are now focused on interfaces such as APIs and database connections and a frictionless user experience. Throughout our journey as a company, we’ve focused tirelessly on the need for a privacy-centric health data network. This has been – and will only be – possible due to the incredible partner organizations across healthcare striving toward better patient outcomes.

Our network-of-networks includes over 70,000 hospitals and clinics, and we are a trusted partner to hundreds of real-world data companies, and many others working daily to improve healthcare.

Because health data is precious. And healthcare doesn’t work without it. We believe data logistics is the missing layer that will allow healthcare to do what it does best: take care of people.

"It’s hard to be in the trenches, especially for a company that’s building core infrastructure. But through the challenge, I hope everybody recognizes the impact that data logistics is having and will have, because it is truly transformative."

– Amy Abernethy, President of Product Development & Chief Medical Officer at Verily