The Futurist Global’s Healthcare Innovation Intelligence Report–ViVE 2026
Published:
May 1, 2026

Overview:
Fragmented clinical data remains one of healthcare’s most persistent challenges–and one of its most costly. In The Futurist Global’s Healthcare Innovation Intelligence Report, Cohere Health Chief Data & AI Officer Gigi Yuen-Reed, PhD, explains that because health plans and providers have historically worked in silos, each side lacks a complete patient view–leading to inefficiencies, delays, compliance concerns, and administrative waste that carries across the healthcare ecosystem.
Cohere Health’s approach synthesizes disparate data and uses clinically trained AI to extract meaningful context, creating a unified 360º patient profile and driving more collaborative payer-provider relationships. This shared intelligence transforms prior authorization from a friction point into a clinically aligned step in care delivery. The result: faster approvals, reduced friction and waste, and better access to timely, appropriate care.
Key themes from the conversation:
1. Overcoming fragmented patient data
- Without true interoperability, physicians and insurance medical directors are forced to make decisions using incomplete clinical pictures, which leads to denials, appeals, and delayed therapies.
- Cohere Health ingests disparate data sources and applies AI to extract meaningful clinical context, creating a complete 360‑degree patient view.
2. Economic and workflow improvements
- Streamlining prior authorization reduces administrative paperwork, lowers overhead, and alleviates clinician burnout across health systems.
- Aligning a comprehensive patient view with evidence‑based guidelines automates approvals, accelerating access to appropriate treatments and preventing costly condition escalations.
3. Building the foundation for payer‑provider trust and data governance
- As AI makes data synthesis more feasible, the remaining barrier is institutional trust and willingness to securely share clinical data.
- Strong governance frameworks are essential to achieving true interoperability and enabling long‑term payer‑provider collaboration.
Written by

Gigi
Yuen, PhD
Gigi Yuen serves as Cohere Health’s Chief Data & AI Officer, leading the data organization, which includes data management, data science, machine learning/AI, and business intelligence.
Gigi has more than 20 years of experience leading cross-functional teams in data solution innovation. Prior to joining Cohere Health, she established the first-ever AI and Analytics function in Availity. At IBM, Gigi was recognized as a Distinguished Engineer. She became one of the first data scientists to receive this designation that is reserved for only the top 0.2% of technical staff in the global firm. Additionally, she led R&D for Watson Health’s $100M+ analytic portfolio where she drove advancements in patient care, real-world evidence research, and actuarial modeling. Gigi is an author of more than 15 peer-reviewed publications and has nearly 20 patents granted or pending.
Gigi holds a bachelor’s, master’s, and Ph.D. in Engineering from Northwestern University.
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