Personalized patient profiles
Support for medical history, medication and allergy information, laboratory results, vital signs, and other available patient context, subject to authorized access.
Developed healthcare software · Intelligent clinical care
MiphaCare — Personalized Healthcare & Intelligent Clinical Care
MiphaCare brings together personalized patient information, AI-assisted clinical intelligence, patient monitoring concepts, and connected healthcare workflows. Developed software supports patient profiles, medical summaries, and clinician-facing interfaces, while predictive ICU monitoring is undergoing clinical evaluation before use in patient care.
Personalized patient profilesAI-assisted clinical intelligenceConnected healthcare workflowsPredictive monitoring · evaluation
Longitudinal patient intelligence
Every patient has a trajectory. MiphaCare is built to follow it.
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.
Longitudinal trajectoriesPatient-specific contextInterpretable risk informationClinician oversight
The trajectory concept describes the intended predictive clinical functionality. The animation and current ICU demonstration use synthetic data and do not establish validated early-warning performance.
Original program animation
MiphaCare in motion
Illustrative synthetic trajectory animation. The comparison does not demonstrate validated predictive performance.
Healthcare platform capabilities
From personalized patient information to connected clinical care
AI-assisted clinical intelligence
Developed clinician-facing interfaces for contextual summaries, patient information review, and natural-language interaction. Outputs require professional review.
Clinical workspace & communication
Doctor-facing software demonstrations include patient context, medical summaries, medication information, and communication workflows. Availability of specific integrations varies.
ICU predictive monitoring · clinical evaluation
Risk trajectories and early-warning analytics are demonstrated with synthetic patient data. Clinical performance, safety, and deployment readiness require evaluation and applicable approvals.
Patient monitoring & predictive analytics
From physiological measurements to meaningful trajectories
Patient context is more informative when measurements are considered together and over time. MiphaCare's predictive clinical work examines patterns across heart rate, respiratory rate, oxygen saturation, and other available observations to support clinician-reviewed risk assessment.
Patient-specific context
Heart rate, respiratory rate, oxygen saturation, and other measurements are considered together over time, because the pattern may matter more than any single value.
Predictive clinical intelligence — under evaluation
Methods intended to detect emerging changes and generate interpretable risk information require retrospective testing, calibration, bias assessment, and clinical validation before patient-care use.
Clinician-reviewed information
Risk trajectories, summaries, and alerts are designed to support qualified healthcare professionals in reviewing patient context; they do not make autonomous treatment decisions.
Illustrative ICU dashboard
The interactive ICU demonstration shows synthetic risk trajectories, acuity ranking, and model explanations. Its values are illustrative and are not evidence of clinical performance.
Hospital to home
Connected healthcare experiences
MiphaCare is part of the MiPhaWell AI ecosystem, alongside the Intelligent iOS Mobile Application and MiPhaWell System Layer (MSL). Together, these technologies are designed to support continuity of care across clinics, hospitals, patients' homes, and authorized caregivers.
Patients and caregivers
Personalized health information, authorized family and caregiver participation, and healthcare communication workflows.
Doctors, clinics, and hospitals
Authorized patient context, AI-assisted information review, and connected clinical communication; integration with specific provider systems requires implementation.
Remote monitoring and consultations
Mobile and backend technologies intended to support monitoring relationships, remote consultations, and hospital-to-home continuity of care, where configured and available.
Emergency information support
Designed to help authorized professionals retrieve relevant medical information when a patient cannot communicate, subject to permissions, connectivity, and integration. Not a replacement for emergency services.
Capabilities described across the ecosystem are not all necessarily available as integrated, clinically deployed services today. Contact MiPhaWell AI for current feature availability and implementation scope.
Engineering discipline
Clinical evaluation & deployment readiness
01Defined clinical use cases
Specify intended use, target populations, and evaluation endpoints.
02Developed software & model evaluation
Evaluate developed interfaces and predictive methods in authorized environments.
03Retrospective ICU evaluation
Assess predictive performance using approved de-identified clinical data after required approvals.
04Clinical readiness review
Review performance, usability, safety, privacy, and regulatory requirements before clinical deployment.
CURRENT STAGE — Preparing retrospective ICU evaluation, subject to required research, privacy, governance and data-access approvals.
Product-specific evidence and safety
Clinical evaluation status
MiphaCare includes developed software capabilities. Its predictive ICU risk and outcome functions have not yet completed clinical validation. A retrospective evaluation pathway through an arrangement with Providence Health Care remains subject to applicable ethics, privacy, governance, contractual, and authorized data-access approvals.
Questions
Frequently asked questions
Is MiphaCare clinically validated?
MiphaCare includes functioning software and clinician-facing demonstrations. Its predictive ICU models are not yet clinically validated. A research arrangement with Providence Health Care provides a pathway for retrospective evaluation using de-identified ICU data.
Does MiphaCare make treatment decisions?
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.
Can I explore the product demonstrations?
Yes. The demonstration hub includes a clinical intelligence workspace and an ICU risk dashboard using synthetic patient data. Demonstrations do not establish clinical integration, live patient monitoring, or validated outcomes.
Commercial partnerships & clinical collaboration
Explore MiphaCare for your healthcare organization
Connect with our team about product demonstrations, implementation requirements, clinical evaluation, and potential partnerships with clinics, hospitals, and healthcare organizations.