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+

AI-ingenieurs

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+

AI-ingenieurs

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.

Werkstroom automatisering

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

Hulpmiddelen voor samenwerking

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.

Werkstroom automatisering

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

Hulpmiddelen voor samenwerking

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.

Portfoliomanager in gezondheidszorg en medische technologieën

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.

  • Flexibele betrokkenheid

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

Verbeterde efficiëntie Pictogram

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

Lagere kosten Pictogram

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

Improved decision‑making Pictogram

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

Enhanced diagnostics Pictogram

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

Value‑based care Pictogram

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

Naleving van de regelgeving Pictogram

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

Analyse van zakelijke behoeften

  • Requirements definition
  • Beoordeling huidige staat
  • AI-strategieontwikkeling

Data prep and engineering

  • Beoordeling van gegevensbronnen
  • Pijplijnen voor gegevensaggregatie
  • Feature engineering

Model development and deployment

  • Algorithm and architecture selection
  • Modelleerstrategie
  • Lancering productiemodel

Analytics and optimization

  • Vaststelling KPI's
  • Prestatiecontrole
  • Iteratieve verbeteringen

Knowledge transfer and support

  • Documentatie en kennisoverdracht
  • 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
Programmeertalen
  • R
  • Python
  • C++
  • Java
Algoritmen
  • Leren onder toezicht/zonder toezicht
  • Clustering
  • Metrisch leren
  • Leren met weinig schot
  • Semi-supervised leren
  • Versterking leren
  • Zero-shot leren
Neurale netwerken
  • CNN
  • RNN
  • Representatie leren
  • Variationele autoencoders
  • Veelzijdig leren
  • Bayesiaanse netwerken
  • Autoregressieve netwerken
  • Transformers
  • GAN's

Wat onze klanten vinden

Dr. Felix Berthelmann Algemeen directeur Digital Science
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"In de loop der jaren heeft Innowise steeds bewezen een betrouwbare partner voor de lange termijn te zijn. De consistentie en kwaliteit van de geleverde diensten hebben aanzienlijk bijgedragen aan het succes van onze gezamenlijke initiatieven."

  • Industrie Gezondheidszorg, Pharma, Life Sciences
  • Grootte van het team 2 specialisten
  • Duur 44 maanden
  • Diensten Personeelsuitbreiding, Gegevenswetenschap
Wilman Vergara, MHI Founder & CEO KNOSIS Health, LLC
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"Hun Amerikaanse directeur en projectmanager waren zeer tijdig met hun reacties en/of verzoeken. Het tijdsverschil was een beetje een uitdaging, maar dat werd overwonnen door de kwaliteit van hun werk. Snel, efficiënt en zeer professioneel. Ik zou het ten zeerste aanbevelen."

  • Industrie Gezondheidszorg, Pharma, Life Sciences
  • Grootte van het team 4 specialisten
  • Duur 33+ maanden
  • Diensten AR, Gezondheidszorg, Sport, Fitness
Dr. Udo Richter Directeur n:aip
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"Innowise werd geselecteerd vanwege de uitgebreide ervaring met het ontwikkelen van complexe medische oplossingen. Ze slaagden erin om snel en effectief een team van IT-specialisten samen te stellen. Innowise kenmerkt zich door een efficiënte en professionele organisatie van haar werkwijze."

  • Industrie Gezondheidszorg
  • Grootte van het team 4 specialisten
  • Duur 60+ maanden
  • Diensten Modernisering van 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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