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HireWe 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.
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.
Improve decision-making and operations with an AI implementation that is reliable and suits your IT infrastructure so adoption feels natural, not forced.
Enable faster, more consistent decision-making while providing care, with evidence-based recommendations inside the EHR.
Minimize false diagnoses by introducing text, imaging and signal models that detect deviations while supporting clinical decisions.
Tap into AI-driven documentation, coding suggestions, and routing to cut manual clicks and mental load, allowing doctors to focus on deep patient work.
Let your teams align faster around the full story as patient context is automatically assembled across notes, labs, meds, and devices.
Deliver tailored education, reminders, and triage paths according to each patient profile to improve adherence and experience across the care continuum.
Use smart predictions to identify high-risk patients early and reach out to them to prevent unnecessary hospitalizations.
Give patients clear guidance on next steps to reduce the volume of inbound support requests.
Let AI analyze medical documents and insurance claims for mistakes to make sure payments come in faster.
Project patient volumes, bed occupancy, and staffing requirements so resources stay balanced and wait times fall.
Predict inventory usage and plan accordingly to keep critical items on hand when and where they are needed.
Make audits simpler and protect PHI by continuously scanning processes and data for inconsistencies.
Assembling a 360-degree view of data, systems, governance, and risks to set realistic expectations surrounding your future AI implementation.
Clarifying roadmaps, use cases, architecture, and guardrails in line with your clinical, operational, and compliance priorities.
Proving value fast by scoping a focused PoC or MVP in 8–12 weeks, with KPIs and test plans.
Connecting models to other systems, workflows and devices for maximum impact and better adoption.
Aligning LLMs with your terminology and policies for safer outputs and stronger task performance.
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.
See how teams reduced manual work, improved accuracy, and moved faster from idea to value with the help of AI.
Reduce delivery risk and accelerate time to value with a partner that understands clinical realities, IT constraints, and regulations.
Ensure HIPAA as well as GDPR compliance from day one, with data minimization, access controls, encryption, and auditability built in.
Rely on smooth integration with HL7 v2, FHIR, and major platforms so AI fits into your existing ecosystem without disruption.
Gain confidence through bias checks, explainability, and human‑in‑the‑loop review to make sure AI supports your decision-making instead of replacing it.
Ensure clinicians and patients benefit from co‑design, in‑workflow delivery, and change‑management support that guarantee sustained use.
Track every milestone against a measurable metric — time saved, accuracy lift, throughput, or costs avoided — so value stays visible.
Augment your team, co‑build, or hand off end‑to‑end delivery while aligning commercial terms to outcomes and phases.
Get a pragmatic, risk‑aware plan to validate one high‑value use case, integrate it safely, and generate results your stakeholders can measure.
Tackle the outcomes the board cares about while easing the pressure on clinical and operational teams.
Streamline documentation, scheduling, and administrative workflows so clinicians spend more time with patients and less time in front of their computers.
Cut avoidable readmissions, denials, and rework by detecting issues earlier and making every patient interaction count.
Provide clinicians and managers with timely, context‑rich insights to guide the next best action, not just dashboards.
Use models to augment detection and triage — especially where the human factor can lead to errors.
Identify gaps, coordinate care, and track outcomes to support contracts that reward quality and prevention rather than volume.
Embed privacy and auditability into data flows and AI workflows to ensure adherence to industry regulations from day one.
A clear, de‑risked path from idea to production, aligned with clinical processes and your governance standards.
Move from concept to sustained impact through phased milestones that control scope, cost, and risk.
We work with proven tools that your security and IT teams trust and can approve without friction.
Explore verified reviews and customer success stories from organizations we support.
Over the years, Innowise has consistently proven to be a long-term reliable partner. The consistency and quality of the services provided have significantly contributed to the success of our joint initiatives.
Their US Director and Project Manager were very timely with their responses and/or requests. The time difference was a bit of a challenge but that was overcome by the quality of their work. Quick, efficient, and very professional. I would highly recommend.
Innowise was selected due to its extensive experience of developing complex medical solutions. They managed to quickly and effectively put together a team of IT-specialists. Innowise is characterized by efficient and professional organization of its operation practices.
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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