Patient-specific context
Heart rate, respiratory rate, oxygen saturation, and other measurements are modeled together over time, because the pattern matters more than any single value.
Deterioration rarely happens all at once. It develops across heart rate, breathing, oxygen levels, and clinical context. MiphaCare is designed to model each patient’s trajectory over time, identify emerging risk patterns, and present interpretable information to the clinicians responsible for care.
Synthetic illustrative trajectory animation; not clinical evidence.
Heart rate, respiratory rate, oxygen saturation, and other measurements are modeled together over time, because the pattern matters more than any single value.
Predictive methods are developed to detect meaningful change as it develops, then tested against retrospective clinical data.
One prototype view for patient context, AI-generated summaries, medications, and care communication.
Methods are assessed for bias, calibration, explainability, and workflow fit before clinical use is considered.
Define cohorts, endpoints, and evaluation methods.
Develop and test methods in authorized environments.
Assess performance on approved data after required approvals.
Explore usability, oversight, and potential next steps.
CURRENT STAGE — Preparing retrospective ICU evaluation, subject to required research, privacy, governance and data-access approvals.
MiPhaWell AI is preparing a retrospective ICU research evaluation through an arrangement with Providence Health Care. The work remains subject to applicable ethics, privacy, governance, contractual, and data-access approvals.
Not yet. MiphaCare is in research. A retrospective evaluation using ICU data is being prepared through a research arrangement with Providence Health Care, subject to required approvals. Clinical performance will be reported only after appropriate evaluation.
No. MiphaCare is designed to support clinicians, not replace them. Alerts and summaries are intended for qualified clinical review; treatment decisions remain with the care team.
Yes. The demo hub includes a clinician workspace and ICU risk dashboard. Demonstration patient data are synthetic; access workflows are not yet connected.
We welcome discussions with researchers, clinicians, engineering collaborators, and potential partners.