Healthcare technology is not an end in itself. It connects trusted data, clinical decisions and a better experience for people.

Working principle

Technology & AI in Healthcare

How can we turn technologyinto real impact?

A practical perspective on connecting infrastructure, data, artificial intelligence and operations to improve clinical outcomes, efficiency and continuity across a 14-site healthcare network.

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Jose Luis D. Technology & AI · UC CHRISTUS UC lecturer · 20+ years in IT

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A connected practice

Technology that understands the clinical, operational and human context.

I work at the intersection of critical operations, data governance, interoperability and applied AI. The goal is simple: prioritize what genuinely improves how a healthcare organization operates.

Critical operations

Infrastructure, continuity, security and integration as the foundation for uninterrupted care.

Data for decisions

Quality, traceability and analytics that turn information from a record into action.

Purposeful AI

Focused, measurable and governed use cases, always with an accountable human decision-maker.

Teams & change

Building capacity through people, governance structures, and the discipline to transition from project to operation.

Areas of expertise

The layers that make transformation possible.

From a stable platform to AI strategy, every domain reinforces the next.

Electronic circuit representing technology infrastructure

I · Foundation

Infrastructure & continuity

Hybrid architecture, disaster recovery, Oracle, RHEL and cybersecurity for services that cannot stop.

Global digital network representing connected data

II · Platform

Data governance

Catalogs, lineage, quality and analytics that turn institutional data into trusted decisions.

Healthcare professional using clinical technology

III · Integration

Interoperability

HL7, FHIR, SNOMED CT, APIs and Mirth to connect clinical and administrative systems.

IV · Clinical core

Clinical, financial and access systems

PRISMA, TrakCare, HealthConnect, IRIS and SAP supporting safer, coordinated care and operational continuity.

Medical technology and artificial intelligence

V · Intelligence

Applied AI in healthcare

Clinical decision support, agents, automation and copilots focused on concrete care and operational challenges.

Team collaborating on a strategic decision

VI · Direction

AI governance & strategy

AI committee co-leadership, institutional policy design, portfolio prioritization, and the discipline to say "not yet" as often as "let's go."

Selected work

Initiatives where technology, data and AI become real capability.

A selection of initiatives that reflect the kind of challenges I seek to solve: complex, critical and visibly impactful.

01 In production

PRISMA / TrakCare

Stability, adoption and evolution of the clinical system that supports everyday care.

02 Pilot

CDSS & Digital Prescribing

Pharmacological decision support through clinical rules, context and human oversight.

03 In development

RCM Agent

Pre-billing validation to reduce friction, late findings and avoidable denials.

04 In progress

VIA / PULSO

A platform that connects governance, value measurement and data-driven decisions.

05 Building

Data Governance Platform

Institutional data catalog, lineage, quality rules and analytics on AWS Redshift and Power BI.

06 Active program

CORFO PRISMA IA 2.0

Clinical decision support with UC and CENIA — pharmacological rules, simulation and AI-assisted prescribing.

07 Active pilot

Claude & Kiro on AWS

Governed AI experimentation with Claude Teams and Kiro IDE — empowering a 4-person AI team to design, build and ship on AWS.

08 In production

AWS AgentCore & Bedrock

Enterprise AI infrastructure — agents, knowledge bases, guardrails and model orchestration on AWS for healthcare use cases.

Teaching

Sharing knowledge is also how capability is built.

Teaching keeps the focus on what matters and creates an active dialogue between institutional practice, standards and what comes next.

school

UC lecturer

Clinical informatics, digital health and interoperability at Pontificia Universidad Católica de Chile. Since 2026.

hub

Standards that connect

HL7, FHIR, SNOMED CT and APIs explained through the real journey of clinical data from operations to decisions.

groups

Applied AI workshops

Kiro Immersion Day (30 people), Anthropic partnership training, and team enablement across 5 areas.

Content

Ideas worth sharing.

Practical takes on AI, agents, tools and leadership — published weekly on @jldelgado.tech.

Adoption vs. licensing

AI changes work. What about our leadership?

Profile

Jose Luis D.

Technology & AI · UC CHRISTUS

I lead ~35 people across 5 areas — plus a dedicated 4-person AI team — making technology work better today while enabling transformation for a network serving 500+ beds across 14 sites.

Education

Computer Engineering · Strategic IT Management (UC) · Strategic Leadership in Healthcare (UC, in progress)

Experience

UC CHRISTUS (since 2014) · thyssenkrupp · ARCADIS · OHL · 20+ years in IT, 11 in healthcare

Focus

Health IT Leadership · Data Strategy · AI Governance · Interoperability · AWS Cloud

Scale

42 active initiatives · 7 AI cases in governance · 4-person AI team · 14 healthcare sites

How can we turn technology|into real impact?