Build HIPAA-compliant AI capability for clinical decision support, patient care coordination, medical documentation, and operational efficiency: with transparency, explainability, and patient safety as non-negotiable requirements.
Patient records scattered across multiple systems (EHR, imaging, labs, pharmacy). Clinicians waste 40% of their time searching for information instead of treating patients.
→ AI-powered data integration creates unified patient view while maintaining HIPAA compliance
Physicians spend 2+ hours daily on documentation for every hour of patient care. Administrative burden drives burnout and reduces time available for actual medicine.
→ Generative AI reduces documentation time 50-70% with clinician oversight
12 million Americans experience diagnostic errors annually. Rare diseases go undiagnosed; common conditions get missed due to cognitive overload and incomplete information.
→ AI clinical decision support surfaces relevant patterns with explainable reasoning
Patients with chronic conditions see 7+ specialists annually. Transitions of care create medication errors, duplicate tests, and preventable readmissions.
→ AI care coordination identifies gaps, flags medication conflicts, predicts readmission risk
We implement AI systems that improve patient outcomes while maintaining strict compliance and ethical standards
AI analyzes patient history, lab results, imaging, and latest medical literature to surface relevant diagnostic possibilities. Provides explainable reasoning for recommendations. Integrates seamlessly into clinician workflow without disrupting care delivery.
Generative AI converts physician-patient conversations into structured clinical notes, discharge summaries, and billing codes. Clinician reviews and approves before submission. Reduces documentation time from 2 hours to 30 minutes daily.
Machine learning predicts which patients are at highest risk for readmission, complications, or non-adherence. Care coordinators receive prioritized intervention lists. Medication conflict detection across all prescribers.
Computer vision AI assists radiologists in detecting abnormalities in X-rays, CT scans, and MRIs. Prioritizes urgent cases, flags potential findings for review. Radiologist always makes final diagnosis. AI provides second opinion, not replacement.
8-hospital system | 2,400 beds | 450,000 annual patient encounters
Hospital readmissions within 30 days were costing the system $12M annually in Medicare penalties. Care coordinators couldn't identify which patients needed intensive follow-up, leading to reactive interventions only after problems emerged.
We deployed predictive AI analyzing patient records, social determinants, medication adherence, and care team notes to identify high-risk patients before discharge. The system generates prioritized intervention lists for care coordinators with specific risk factors and recommended actions.
"The AI doesn't replace clinical judgment: it enhances it. Our care coordinators now focus their limited time on patients who actually need intervention, rather than guessing who's at risk. Patient outcomes improved while staff workload became more manageable."
— Chief Medical Officer
Every AI system we build includes encryption, access controls, audit trails, and data minimization. We never compromise patient privacy for AI performance.
Healthcare decisions require transparency. Our AI provides clear reasoning, citations to medical literature, and confidence levels—never "black box" recommendations.
AI assists, never replaces. Clinicians maintain authority over all medical decisions. We design AI that augments expertise, not undermines professional judgment.
Start with a strategic conversation about where AI fits in your healthcare organization, how to maintain compliance and ethics, and what outcomes matter most for patient care.
Initial consultations are confidential and require no commitment.
A strategic conversation about where organizational intelligence fits in your business, what it should accomplish, and how to build it as lasting capability.