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+

KI-Ingenieure

40+

healthcare AI projects delivered

15+

healthcare AI consultants

40+

KI-Ingenieure

40+

healthcare AI projects delivered

Real‑world healthcare AI application areas

Improve decision-making and operations with an AI implementation that is reliable and suits your IT infrastructure so adoption feels natural, not forced.

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

Workflow-Automatisierung

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

Tools für Zusammenarbeit

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.

Workflow-Automatisierung

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

Tools für Zusammenarbeit

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

Bewertung der KI-Bereitschaft

Assembling a 360-degree view of data, systems, governance, and risks to set realistic expectations surrounding your future AI implementation.

AI strategy planning

Clarifying roadmaps, use cases, architecture, and guardrails in line with your clinical, operational, and compliance priorities.

Use case validation (PoC/MVP development)

Proving value fast by scoping a focused PoC or MVP in 8–12 weeks, with KPIs and test plans.

KI-Integration

Connecting models to other systems, workflows and devices for maximum impact and better adoption.

LLM fine‑tuning

Aligning LLMs with your terminology and policies for safer outputs and stronger task performance.

Custom AI solution development

Engineering AI pipelines with embedded security, monitoring, and governance.

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.

Anastasia Ilkevich

Portfoliomanagerin für Gesundheits- und Medizintechnik

Selected healthcare AI success stories

See how teams reduced manual work, improved accuracy, and moved faster from idea to value with the help of AI.

Why choose Innowise for your next AI implementation

Reduce delivery risk and accelerate time to value with a partner that understands clinical realities, IT constraints, and regulations.

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.

Flexibles Engagement

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

Tackle the outcomes the board cares about while easing the pressure on clinical and operational teams.

Verbesserte Effizienz

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

Reduzierte Kosten

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

Improved decision‑making

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

Enhanced diagnostics

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

Value‑based care

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

Einhaltung gesetzlicher Vorschriften

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

A clear, de‑risked path from idea to production, aligned with clinical processes and your governance standards.

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.

Prioritize and design

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

Validate value (PoC/MVP)

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

Deploy and integrate

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

Operate and improve

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

Discover and align

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

Prioritize and design

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

Validate value (PoC/MVP)

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

Deploy and integrate

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

Operate and improve

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

Implementation roadmap

Move from concept to sustained impact through phased milestones that control scope, cost, and risk.

Geschäftsbedarfsanalyse

Requirements definition
Einschätzung des aktuellen Zustands
KI-Strategieentwicklung

Data prep and engineering

Bewertung der Datenquellen
Datenaggregationspipelines
Feature-Engineering

Model development and deployment

Algorithm and architecture selection
Trainingsstrategie für Modelle
Einführung des Produktionsmodells

Analytics and optimization

KPI-Erstellung
Leistungsüberwachung
Iterative Verbesserungen

Knowledge transfer and support

Dokumentation und Wissenstransfer
User and admin training
Continuous maintenance and consultation

Core technologies

We work with proven tools that your security and IT teams trust and can approve without friction.

Keras
TensorFlow
PyTorch
MXNet
Nvidia Caffe
Chainer
Theano
OpenNN
Neuroph

Sonnet
Tensor
tf-slim
Transformers
LangChain
Wasmer
NLTK
spaCy
OpenCV

R
Python

C++
Java

Supervised/unsupervised learning
Clustering
Metric learning
Few-Shot-Lernen

Semi-Supervised Learning
Bestärkendes Lernen
Zero-Shot-Lernen

CNN
RNN
Representation learning
Variational autoencoders
Manifold learning

Bayesian networks
Autoregressive networks
Transformers
GANs

Was unsere Kunden denken

Explore verified reviews and customer success stories from organizations we support.

Dr. Felix Berthelmann Geschäftsführer Digital Science

"Innowise hat sich im Laufe der Jahre stets als langfristiger, zuverlässiger Partner erwiesen. Das kontinuierliche und qualitative Level der erbrachten Dienstleistungen hat maßgeblich zum Erfolg unserer gemeinsamen Projekte beigetragen."

Branche Gesundheitswesen, Pharma, Lebenswissenschaften
Teamgröße 2 Spezialisten
Dauer 44 Monate
Leistungen Personalaufstockung, Datenwissenschaft

Wilman Vergara, MHI Gründer & CEO KNOSIS Health, LLC

"Ihr US-Direktor und Projektmanager waren stets zeitbewusst in ihren Antworten und/oder Anfragen. Die Zeitverschiebung stellte minimale Herausforderungen dar, die jedoch mit der Qualität der Arbeit überwunden wurden. Schnell, effizient und hochprofessionell. Ich würde Innowise empfehlen."

Branche Gesundheitswesen, Pharma, Lebenswissenschaften
Teamgröße 4 Spezialisten
Dauer 33+ Monate
Leistungen AR, Gesundheitswesen, Sport, Fitness

Dr. Udo Richter Leiter n:aip

"Die Wahl fiel auf Innowise aufgrund ihrer umfassenden Erfahrung in der Entwicklung komplexer medizinischer Lösungen. Es gelang dem Unternehmen, schnell und effektiv ein Team von IT-Spezialisten zusammenzustellen. Innowise zeichnet sich durch eine effiziente, professionelle Organisation seiner Abläufe aus."

Branche Gesundheitswesen
Teamgröße 4 Spezialisten
Dauer 60+ Monate
Leistungen Softwaremodernisierung

FAQ about healthcare AI consulting with Innowise

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.

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.

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.

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.

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.

Im persönlichen Gespräch klären wir alle offenen Punkte.

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Wie geht es weiter?

Sobald wir Ihre Anfrage erhalten und geprüft haben, melden wir uns bei Ihnen, klären erste Fragen und unterzeichnen bei Bedarf ein NDA, um die Vertraulichkeit zu gewährleisten.

Nach der Analyse Ihrer Ziele, Anforderungen und Erwartungen erstellt unser Team einen Projektvorschlag mit Leistungsumfang, Teamgröße sowie Zeit- und Kostenschätzung.

Wir vereinbaren einen Termin, um das Angebot gemeinsam zu besprechen und alle Details festzulegen.

Abschließend unterzeichnen wir den Vertrag und starten umgehend mit der Umsetzung Ihres Projekts.

Healthcare AI consulting and development services

Real‑world healthcare AI application areas

Clinician-oriented AI

Decision support

Diagnostic assistance

Workflow-Automatisierung

Tools für Zusammenarbeit

Patient-oriented AI

Personalized support

Proactive engagement

Accessible insights

Administrative and operations-oriented AI

Revenue cycle optimization

Capacity management

Supply chain efficiency

Quality and compliance monitoring

Clinician-oriented AI

Decision support

Diagnostic assistance

Workflow-Automatisierung

Tools für Zusammenarbeit

Patient-oriented AI

Personalized support

Proactive engagement

Accessible insights

Administrative and operations-oriented AI

Revenue cycle optimization

Capacity management

Supply chain efficiency

Quality and compliance monitoring

Our end-to-end healthcare AI services

Bewertung der KI-Bereitschaft

AI strategy planning

Use case validation (PoC/MVP development)

KI-Integration

LLM fine‑tuning

Custom AI solution development

Selected healthcare AI success stories

Why choose Innowise for your next AI implementation

Healthcare compliance

Deep EHR and interoperability expertise

Governance and safety by design

Human‑centered adoption

Outcome‑driven delivery

Flexibles Engagement

Where AI consulting makes the biggest difference

How we approach healthcare AI consulting

Discover and align

Prioritize and design

Validate value (PoC/MVP)

Deploy and integrate

Operate and improve

Implementation roadmap

Geschäftsbedarfsanalyse

Data prep and engineering

Model development and deployment

Analytics and optimization

Knowledge transfer and support

Core technologies

Was unsere Kunden denken

FAQ about healthcare AI consulting with Innowise

Kontakt aufnehmen

Wie geht es weiter?

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