Healthcare AI consulting and development services

We help healthcare providers, pharmaceutical and biotechnology companies, CROs, and researchers design and implement AI that unlocks specific outcomes — faster diagnoses, safer workflows, lower costs, and more.

15+

healthcare AI consultants

40+

Engenheiros de AI

40+

healthcare AI projects delivered

We help healthcare providers, pharmaceutical and biotechnology companies, CROs, and researchers design and implement AI that unlocks specific outcomes — faster diagnoses, safer workflows, lower costs, and more.

15+

healthcare AI consultants

40+

Engenheiros de AI

40+

healthcare AI projects delivered

  • Clinician-oriented AI
  • Patient-oriented AI
  • Administrative and operations-oriented AI
Clinician-oriented AI Patient-oriented AI Administrative and operations-oriented AI

Clinician-oriented AI

Decision support

Enable faster, more consistent decision-making while providing care, with evidence-based recommendations inside the EHR.

Diagnostic assistance

Minimize false diagnoses by introducing text, imaging and signal models that detect deviations while supporting clinical decisions.

Automatização do fluxo de trabalho

Tap into AI-driven documentation, coding suggestions, and routing to cut manual clicks and mental load, allowing doctors to focus on deep patient work.

Ferramentas de colaboração

Let your teams align faster around the full story as patient context is automatically assembled across notes, labs, meds, and devices.

Patient-oriented AI

Personalized support

Deliver tailored education, reminders, and triage paths according to each patient profile to improve adherence and experience across the care continuum.

Proactive engagement

Use smart predictions to identify high-risk patients early and reach out to them to prevent unnecessary hospitalizations.

Accessible insights

Give patients clear guidance on next steps to reduce the volume of inbound support requests.

Administrative and operations-oriented AI

Revenue cycle optimization

Let AI analyze medical documents and insurance claims for mistakes to make sure payments come in faster.

Capacity management

Project patient volumes, bed occupancy, and staffing requirements so resources stay balanced and wait times fall.

Supply chain efficiency

Predict inventory usage and plan accordingly to keep critical items on hand when and where they are needed.

Quality and compliance monitoring

Make audits simpler and protect PHI by continuously scanning processes and data for inconsistencies.

Clinician-oriented AI

Decision support

Enable faster, more consistent decision-making while providing care, with evidence-based recommendations inside the EHR.

Diagnostic assistance

Minimize false diagnoses by introducing text, imaging and signal models that detect deviations while supporting clinical decisions.

Automatização do fluxo de trabalho

Tap into AI-driven documentation, coding suggestions, and routing to cut manual clicks and mental load, allowing doctors to focus on deep patient work.

Ferramentas de colaboração

Let your teams align faster around the full story as patient context is automatically assembled across notes, labs, meds, and devices.

Patient-oriented AI

Personalized support

Deliver tailored education, reminders, and triage paths according to each patient profile to improve adherence and experience across the care continuum.

Proactive engagement

Use smart predictions to identify high-risk patients early and reach out to them to prevent unnecessary hospitalizations.

Accessible insights

Give patients clear guidance on next steps to reduce the volume of inbound support requests.

Administrative and operations-oriented AI

Revenue cycle optimization

Let AI analyze medical documents and insurance claims for mistakes to make sure payments come in faster.

Capacity management

Project patient volumes, bed occupancy, and staffing requirements so resources stay balanced and wait times fall.

Supply chain efficiency

Predict inventory usage and plan accordingly to keep critical items on hand when and where they are needed.

Quality and compliance monitoring

Make audits simpler and protect PHI by continuously scanning processes and data for inconsistencies.

Our end-to-end healthcare AI services

Successful healthcare AI starts with a narrow, testable problem and ends with a workflow clinicians actually want to use. It’s about designing something small enough to validate, robust enough to scale, and intuitive enough that clinicians adopt it as part of their daily routine.

Gestor de carteiras de tecnologias médicas e de cuidados de saúde

Why choose Innowise for your next AI implementation

  • Healthcare compliance

Ensure HIPAA as well as GDPR compliance from day one, with data minimization, access controls, encryption, and auditability built in.

  • Deep EHR and interoperability expertise

Rely on smooth integration with HL7 v2, FHIR, and major platforms so AI fits into your existing ecosystem without disruption.

  • Governance and safety by design

Gain confidence through bias checks, explainability, and human‑in‑the‑loop review to make sure AI supports your decision-making instead of replacing it.

  • Human‑centered adoption

Ensure clinicians and patients benefit from co‑design, in‑workflow delivery, and change‑management support that guarantee sustained use.

  • Outcome‑driven delivery

Track every milestone against a measurable metric — time saved, accuracy lift, throughput, or costs avoided — so value stays visible.

  • Compromisso flexível

Augment your team, co‑build, or hand off end‑to‑end delivery while aligning commercial terms to outcomes and phases.

Start planning for AI

Get a pragmatic, risk‑aware plan to validate one high‑value use case, integrate it safely, and generate results your stakeholders can measure.

Where AI consulting makes the biggest difference

Melhoria da eficiência Ícone

Streamline documentation, scheduling, and administrative workflows so clinicians spend more time with patients and less time in front of their computers.

Redução de custos Ícone

Cut avoidable readmissions, denials, and rework by detecting issues earlier and making every patient interaction count.

Improved decision‑making Ícone

Provide clinicians and managers with timely, context‑rich insights to guide the next best action, not just dashboards.

Enhanced diagnostics Ícone

Use models to augment detection and triage — especially where the human factor can lead to errors.

Value‑based care Ícone

Identify gaps, coordinate care, and track outcomes to support contracts that reward quality and prevention rather than volume.

Conformidade regulamentar Ícone

Embed privacy and auditability into data flows and AI workflows to ensure adherence to industry regulations from day one.

How we approach healthcare AI consulting

  • Discover and align
  • Prioritize and design
  • Validate value (PoC/MVP)
  • Deploy and integrate
  • Operate and improve

Discover and align

Clarifying goals and stakeholders and mapping data, systems, and success metrics important to clinicians and operations.

Discover and align

Prioritize and design

Prioritizing high‑value, feasible use cases and designing solution architecture, and guardrails that fit existing tools.

Prioritize and design

Validate value (PoC/MVP)

Running a tightly scoped PoC/MVP in 8–12 weeks to test hypotheses, optimize models, and collect user feedback.

Validate value (PoC/MVP)

Deploy and integrate

Hardening pipelines, integrating with EHR/LIS/PACS/CRM, and configuring monitoring, access controls, and security.

Deploy and integrate

Operate and improve

Establishing model governance and quality checks and iterating with real‑world feedback to raise impact in the long run.

Operate and improve
Discover and align

Clarifying goals and stakeholders and mapping data, systems, and success metrics important to clinicians and operations.

Discover and align
Prioritize and design

Prioritizing high‑value, feasible use cases and designing solution architecture, and guardrails that fit existing tools.

Prioritize and design
Validate value (PoC/MVP)

Running a tightly scoped PoC/MVP in 8–12 weeks to test hypotheses, optimize models, and collect user feedback.

Validate value (PoC/MVP)
Deploy and integrate

Hardening pipelines, integrating with EHR/LIS/PACS/CRM, and configuring monitoring, access controls, and security.

Deploy and integrate
Operate and improve

Establishing model governance and quality checks and iterating with real‑world feedback to raise impact in the long run.

Operate and improve

Implementation roadmap

Análise das necessidades da empresa

  • Requirements definition
  • Avaliação do estado atual
  • Desenvolvimento de estratégias de IA

Data prep and engineering

  • Avaliação da fonte de dados
  • Pipelines de agregação de dados
  • Engenharia de recursos

Model development and deployment

  • Algorithm and architecture selection
  • Modelo de estratégia de formação
  • Lançamento do modelo de produção

Analytics and optimization

  • Estabelecimento de KPI
  • Controlo do desempenho
  • Melhorias iterativas

Knowledge transfer and support

  • Documentação e transferência de conhecimentos
  • User and admin training
  • Continuous maintenance and consultation

Core technologies

AI development tools
  • Keras
  • TensorFlow
  • PyTorch
  • MXNet
  • Nvidia Caffe
  • Chainer
  • Theano
  • OpenNN
  • Neuroph
  • Sonnet
  • Tensor
  • tf-slim
  • Transformers
  • LangChain
  • Wasmer
  • NLTK
  • spaCy
  • OpenCV
Linguagens de programação
  • R
  • Python
  • C++
  • Java
Algoritmos
  • Aprendizagem supervisionada/não supervisionada
  • Agrupamento
  • Aprendizagem métrica
  • Aprendizagem com poucos disparos
  • Aprendizagem semi-supervisionada
  • Aprendizagem por reforço
  • Aprendizagem zero-shot
Redes neuronais
  • CNN
  • RNN
  • Aprendizagem de representações
  • Auto-codificadores variacionais
  • Aprendizagem múltipla
  • Redes Bayesianas
  • Redes autoregressivas
  • Transformers
  • GANs

O que pensam os nossos clientes

Dr. Felix Berthelmann Diretor Geral Digital Science
logótipo da empresa

"Ao longo dos anos, a Innowise tem provado ser um parceiro fiável a longo prazo. A consistência e a qualidade dos serviços prestados contribuíram significativamente para o sucesso das nossas iniciativas conjuntas."

  • Indústria Cuidados de saúde, indústria farmacêutica, ciências da vida
  • Dimensão da equipa 2 especialistas
  • Duração 44 meses
  • Serviços Aumento do pessoal, Ciência dos dados
Wilman Vergara, MHI Founder & CEO KNOSIS Health, LLC
logótipo da empresa

"O diretor e o gestor de projectos dos EUA foram muito pontuais nas suas respostas e/ou pedidos. A diferença horária foi um pouco difícil, mas isso foi superado pela qualidade do seu trabalho. Rápido, eficiente e muito profissional. Recomendo vivamente."

  • Indústria Cuidados de saúde, indústria farmacêutica, ciências da vida
  • Dimensão da equipa 4 especialistas
  • Duração Mais de 33 meses
  • Serviços AR, Cuidados de saúde, Desporto, Fitness
Dr. Udo Richter Director n:aip
logótipo da empresa

"A Innowise foi selecionada devido à sua vasta experiência no desenvolvimento de soluções médicas complexas. Conseguiram reunir rápida e eficazmente uma equipa de especialistas em TI. A Innowise caracteriza-se por uma organização eficiente e profissional das suas práticas operacionais."

  • Indústria Cuidados de saúde
  • Dimensão da equipa 4 especialistas
  • Duração Mais de 60 meses
  • Serviços Modernização de software

FAQ about healthcare AI consulting with Innowise

Are your AI solutions compliant with regulations like HIPAA or GDPR?

We embed security and privacy by design: data minimization; PHI segregation; strict access controls; DPIAs where needed; vendor and BA agreements; and continuous monitoring aligned with your policies. We also map controls to your frameworks and document our approach for internal and external audits.

How long does it take to develop an AI solution?

We usually validate a PoC or MVP in 8-12 weeks, then pilot in a limited setting. Larger rollouts may take longer depending on integration depth, change management, and regulatory reviews.

How do you handle patient privacy and information security?

We adopt least‑privilege access, de‑identify or pseudonymize whenever possible, and follow SDLC best practices. We never train shared models on patient data without explicit approval.

How do you support adoption by clinicians and patients?

We co‑design with end users, deliver in‑workflow experiences, provide training and quick‑reference guides, and monitor adoption with real metrics to fine‑tune.

Can AI integrate with an EHR system (Epic, Cerner, etc.)?

Yes. We use standards such as HL7 v2 and FHIR and have experience integrating with Epic, Cerner, Meditech, and others. If needed, we build reliable adapters with logging and error handling.

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