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+

Ingegneri AI

40+

healthcare AI projects delivered

15+

healthcare AI consultants

40+

Ingegneri AI

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.

Automazione Workflow

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

Strumenti di collaborazione

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.

Automazione Workflow

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

Strumenti di collaborazione

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

Valutazione della preparazione all'IA

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.

Integrazione dell'intelligenza artificiale

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

Gestore di portafoglio in tecnologie sanitarie e mediche

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.

Impegno flessibile

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.

Miglioramento dell'efficienza

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

Costi ridotti

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.

Conformità normativa

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.

Analisi delle esigenze aziendali

Requirements definition
Valutazione dello stato attuale
Sviluppo della strategia AI

Data prep and engineering

Valutazione della fonte dei dati
Pipeline di aggregazione dei dati
Ingegneria delle caratteristiche

Model development and deployment

Algorithm and architecture selection
Strategia di formazione del modello
Lancio del modello di produzione

Analytics and optimization

Definizione di KPI
Monitoraggio delle prestazioni
Miglioramenti iterativi

Knowledge transfer and support

Documentazione e trasferimento di conoscenze
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

Apprendimento supervisionato/non supervisionato
Raggruppamento
Apprendimento metrico
Apprendimento con pochi colpi

Apprendimento semi-supervisionato
Apprendimento per rinforzo
Apprendimento a colpo zero

CNN
RNN
Apprendimento della rappresentazione
Autoencoder variazionali
Apprendimento multiplo

Reti bayesiane
Reti autoregressive
Transformers
GAN

Cosa pensano i nostri clienti

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

Dr. Felix Berthelmann Direttore generale Digital Science

"Nel corso degli anni, Innowise ha sempre dimostrato di essere un partner affidabile a lungo termine. La coerenza e la qualità dei servizi forniti hanno contribuito in modo significativo al successo delle nostre iniziative comuni."

Industria Sanità, farmaceutica, scienze della vita
Dimensione del team 2 specialisti
Durata 44 mesi
Servizi Aumento del personale, Scienza dei dati

Wilman Vergara, MHI Founder & CEO KNOSIS Health, LLC

"Il direttore americano e il project manager sono stati molto tempestivi nelle risposte e/o nelle richieste. Il fuso orario è stato un po' una sfida, ma è stato superato dalla qualità del loro lavoro. Rapidi, efficienti e molto professionali. Li consiglio vivamente".

Industria Sanità, farmaceutica, scienze della vita
Dimensione del team 4 specialisti
Durata 33+ mesi
Servizi AR, Sanità, Sport, Fitness

Dr. Udo Richter Direttore n:aip

"Innowise è stata scelta per la sua vasta esperienza nello sviluppo di soluzioni mediche complesse. È riuscita a mettere insieme in modo rapido ed efficace un team di specialisti IT. Innowise si caratterizza per l'organizzazione efficiente e professionale delle sue pratiche operative".

Industria Assistenza sanitaria
Dimensione del team 4 specialisti
Durata 60+ mesi
Servizi Modernizzazione del software

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.

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Cosa succede dopo?

Una volta ricevuta ed elaborata la vostra richiesta, vi contatteremo per illustrarvi le esigenze del vostro progetto. Progetto e firmare un NDA per garantire la riservatezza.

Dopo aver esaminato i vostri desideri, le vostre esigenze e le vostre aspettative, il nostro team elaborerà una proposta di progetto con l'ambito di lavoro, le dimensioni del team, i tempi e i costi stimati con l'ambito di lavoro, le dimensioni del team, i tempi e i costi stimati.

Organizzeremo un incontro con voi per discutere l'offerta e definire i dettagli.

Infine, firmeremo un contratto e inizieremo subito a lavorare sul vostro progetto.

Healthcare AI consulting and development services

Real‑world healthcare AI application areas

Clinician-oriented AI

Decision support

Diagnostic assistance

Automazione Workflow

Strumenti di collaborazione

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

Automazione Workflow

Strumenti di collaborazione

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

Valutazione della preparazione all'IA

AI strategy planning

Use case validation (PoC/MVP development)

Integrazione dell'intelligenza artificiale

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

Impegno flessibile

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

Analisi delle esigenze aziendali

Data prep and engineering

Model development and deployment

Analytics and optimization

Knowledge transfer and support

Core technologies

Cosa pensano i nostri clienti

FAQ about healthcare AI consulting with Innowise

Contattateci

Cosa succede dopo?

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