Technology for Healthcare

We connect systems, enable telemedicine and transform clinical data into better patient outcomes.

Los 3 retos tech de Salud

Clinical data that cannot leave the perimeter

HIPAA, HITECH, and local regulations require encryption at rest and in transit, complete traceability, and signed BAAs with every cloud provider that touches PHI.

True interoperability across heterogeneous systems

Proprietary HIS, LIS, RIS, PACS, EMR at each clinic. Integrating without losing semantics requires HL7/FHIR, standard terminologies (LOINC, SNOMED), and message observability.

Clinical workflows that tolerate no friction

If digital lookup adds more than 60 seconds to the physician's time, it gets abandoned. Interfaces must be operable in 1–2 clicks, with fallback to paper when the network fails.

AI models with clinical validation, not marketing

Triage, image reading, or deterioration prediction must have publishable metrics (sensitivity, specificity), physician validation protocol, and drift governance.

Telemedicine that survives weak connections

Rural areas, hotels, homes. Adaptive video call, fallback to chat + photo, offline-first sync for field medical records.

Cómo el marco I+C+S resuelve esto

AI for Healthcare

Predictive models for early diagnosis, NLP for clinical records and virtual assistants.

Cloud for Healthcare

HIPAA-compliant infrastructure with high availability and HL7/FHIR architectures.

Staffing for Healthcare

Engineers with experience in healthtech and clinical systems integrations.

100%Auditable logging in projects with PHI
HIPAACurrent BAA with cloud providers
<500msLatency in FHIR server queries
0Data exposure incidents in 13 years

Industry challenges

Clinical data that cannot leave the perimeter

HIPAA, HITECH, and local regulations require encryption at rest and in transit, complete traceability, and signed BAAs with every cloud provider that touches PHI.

The average cost of a healthcare breach is US$10.9M — the highest of any industry.

True interoperability across heterogeneous systems

Proprietary HIS, LIS, RIS, PACS, EMR at each clinic. Integrating without losing semantics requires HL7/FHIR, standard terminologies (LOINC, SNOMED), and message observability.

Clinical workflows that tolerate no friction

If digital lookup adds more than 60 seconds to the physician's time, it gets abandoned. Interfaces must be operable in 1–2 clicks, with fallback to paper when the network fails.

AI models with clinical validation, not marketing

Triage, image reading, or deterioration prediction must have publishable metrics (sensitivity, specificity), physician validation protocol, and drift governance.

Telemedicine that survives weak connections

Rural areas, hotels, homes. Adaptive video call, fallback to chat + photo, offline-first sync for field medical records.

Regulatory frameworks we operate under

HIPAA

Health Insurance Portability and Accountability Act (USA)

Mandatory BAA, AES-256 encryption, immutable audit trails, and right-to-access.

HITECH

Health Information Technology for Economic and Clinical Health

60-day breach notification, additional controls over vendors.

ISO 27799

Information Security in Healthcare

Information security management specifically for clinical data.

Ley 1581

Habeas Data Colombia — sensitive health data

Express and informed consent, enhanced protection for sensitive categories.

HL7 FHIR

Fast Healthcare Interoperability Resources

Clinical information exchange standard. Foundation for true interoperability.

How we implement in this industry

Real patterns we have delivered, not theoretical slides.

Electronic health record with clinical workflow

EHR designed with physicians, not product managers. Fast order entry, specialty-specific templates, PACS integration and lab results in the same view.

Outcome: 40% reduction in clinical documentation time.

Telemedicine platform with offline-first capability

Video consultation with adaptive bitrate, fallback to chat + files, deferred clinical history sync. Works on unstable 3G connections.

Outcome: Query completed successfully in 94% of attempts, even in areas with limited connectivity.

AI-assisted triage with validation protocol

Classification model trained on local case histories, not imported datasets. Blind validation with medical committee before production. Monthly drift governance.

Outcome: Triage prioritization consistent with medical judgment in 91% of cases.

HL7/FHIR Interoperability Engine

Gateway that translates messages between legacy HIS and modern platforms. Queue with retries, terminology mapping, and failed message dashboard for the clinical team.

Outcome: Integration of 12 heterogeneous hospital systems into a single clinical timeline.

Our playbook for this industry

A repeatable method refined across 13 years and 7 countries.

01

Regulatory and clinical assessment

We map actual clinical workflows and applicable HIPAA/HITECH obligations. We don't design technology in the abstract.

02

Architecture with privacy by design

Network segmentation, managed encryption, BAA with providers, and immutable logging from sprint one.

03

Validation with real physicians, not demos

Every clinical feature goes through a medical committee. Without user buy-in, it doesn't go to production.

04

Data and model governance post-go-live

Drift monitoring, quarterly permission audits, incident reporting per HITECH.

Industry signals you should know

67%
of healthcare institutions in LATAM plan to adopt AI within 2 years
Frost & Sullivan Healthcare 2024
US$1.5T
Global digital health spending by 2027
Grand View Research
30%
Reduction in consultation times with AI-assisted triage
JAMA Network Open, 2023

Common tech stack

AWS HIPAA-eligibleGCP Healthcare APIFHIR Server (HAPI)PostgreSQLKafkaNext.jsReact NativeNode.js / NestJSPython / PyTorchWebRTCHashiCorp VaultAWS KMS

Questions from companies in this sector

Yes. We sign BAAs with US clients and use HIPAA-eligible cloud services (AWS, GCP, Azure). Staff assigned to PHI projects receive documented HIPAA training.

Yes. We implement FHIR gateways to integrate third-party HIS, LIS, and EMR systems. We handle Patient, Encounter, Observation, DiagnosticReport resources and extend them when local terminologies require it.

3-phase protocol: (1) retrospective validation against physician-labeled dataset, (2) shadow mode in production without affecting clinical decisions, (3) service-by-service rollout with medical committee reviewing monthly metrics. Drift monitoring required.

Yes. We use an anti-corruption layer with asynchronous messaging to avoid touching the original HIS. Failed messages land in an actionable dashboard for the clinical team — nothing gets lost silently.

Contractual: AES-256 encryption at rest and TLS 1.3 in transit, immutable audit trail, access revocation within 24h upon profile termination, quarterly penetration testing. In 13 years we have not had a single clinical data exposure incident.

Does your healthcare organization need to transform without risking compliance?

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