Webinar Date: 19th November

The Next Frontier of Healthcare Data in the Cloud

A strategic conversation on genomics, AI, patient monitoring, and the data governance challenges reshaping modern healthcare — featuring Oracle OCI and Infolob Global.
Oracle OCI
Infolob Global
Featured Speaker

Esteban Rubens

Healthcare & Life Sciences
Oracle
Host

Phanii Pydimarri

Chief Transformation Officer
Infolob Global
✦ Oracle Platinum Partner · 17+ Years
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Years of Infolob–Oracle partnership in data and AI transformation

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Of genomic data can be de-identified without destroying its value

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Of continuous patient monitoring data is stored by most providers today

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Greater vigilance needed as wearables, IoT, and genomics accelerate data growth

"We are an AI and data transformation partner, as well as a very proud Oracle Platinum partner. We've been working together for over 17 years driving transformation — and the conversations we're having now around data, AI, and governance are the most consequential the industry has ever faced."

Phanii Pydimarri — Chief Transformation Officer, Infolob Global

Key Insights

Six forces reshaping healthcare data

Genomics: An Un-Anonymizable Data Problem

Unlike structured PHI, genomic data cannot be obfuscated without destroying its clinical value. Your genome is your identity — and even tumor-sequencing samples contain the patient's full genome in non-cancerous cells, making traditional de-identification frameworks obsolete.

The Patient Monitoring Data Gap

Most hospitals discard the continuous data generated by bedside monitors. Nurses manually transcribe readings into EHRs — an error-prone process that wastes an irreplaceable stream of longitudinal clinical signals that AI could act on in real time.

Wearables & IoT: Infinite Data, No Home

Consumer wearables and clinical-grade patient monitors are generating exponential volumes of data. The industry still lacks clear answers on where this data lives, who owns it, and how it's governed — creating both risk and opportunity.

The Data Lake Ownership Vacuum

EHRs were designed for structured records, not streaming device data. Healthcare organizations need purpose-built data lakes — but who owns them, who stewards them, and how access is governed remain unanswered questions demanding architectural and policy solutions.

Hospital at Home Demands Cloud-Native Infrastructure

As care delivery moves into the home, clinical-grade data generation follows. These distributed care settings require HIPAA-compliant, elastic cloud infrastructure from day one — making OCI a foundational requirement, not an afterthought.

Cautious Optimism: Governance Must Match Innovation Speed

Healthcare is moving deliberately — balancing AI's promise against regulatory complexity, data sovereignty, and patient trust. Moving too fast risks privacy violations; too slow forfeits life-saving outcomes. The right partner understands both sides.

In Their Own Words

Perspectives from the conversation

“Your genome is your genome — there is no re-identification, it is the identification. Even in oncology, where we’re sequencing a tumor genome to characterize it molecularly, you’re taking a sample that contains non-tumor cells, and those carry the patient’s full genome. There’s no way to say there’s definitively no risk. If everybody was on guard before, you have to be on a billion-X guard now.”

Esteban Rubens

Healthcare & Life Sciences · Oracle

Oracle OCI
“There’s always a new layer of complexity added every day. The industry is trying to be cautiously optimistic — so many devices, so many sources of data. The fear of losing it or having it used inappropriately is what slows innovation. Who owns the data, who is able to manage it — these are the questions we have to answer before AI can truly unlock healthcare’s potential.”

Phanii Pydimarri

Chief Transformation Officer · Infolob Global

Infolob Global
Where the Industry Stands

Challenges identified — and the OCI response

Critical Challenges

  • Structured vs. Unstructured Data

    Unstructured data dominates healthcare, yet most governance frameworks were built for structured records.

  • Genomic Data Sovereignty

    No existing standard applies to genomic sequences. New consent, security, and stewardship models are needed.

  • Manual Transcription Risk

    Nurse-mediated data entry from patient monitors introduces error, loses resolution, and discards continuous signals.

  • Data Lake Accountability

    New device data streams need homes outside the EHR, but ownership and access governance remain undefined.

  • Speed vs. Governance

    AI innovation must be matched by governance maturity — moving too fast risks privacy; too slow risks outcomes.

Critical Challenges

  • Structured vs. Unstructured Data

    Unstructured data dominates healthcare, yet most governance frameworks were built for structured records.

  • Genomic Data Sovereignty

    No existing standard applies to genomic sequences. New consent, security, and stewardship models are needed.

  • Manual Transcription Risk

    Nurse-mediated data entry from patient monitors introduces error, loses resolution, and discards continuous signals.

  • Data Lake Accountability

    New device data streams need homes outside the EHR, but ownership and access governance remain undefined.

  • Speed vs. Governance

    AI innovation must be matched by governance maturity — moving too fast risks privacy; too slow risks outcomes.

Ready to build the future of healthcare data?

Infolob Global and Oracle bring 17+ years of trusted partnership to your most complex healthcare data challenges — from genomics and IoT to AI governance and cloud migration.

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