MitiHealth AI

Predict. Prevent. Protect.

MitiHealth AI

Leveraging Artificial Intelligence & Machine Learning to Optimize Patient Outcomes

Contact Us

Predict. Prevent. Protect.

MitiHealth AI

Leveraging Artificial Intelligence & Machine Learning to Optimize Patient Outcomes

Contact Us

Unintended adverse harm events occur in approximately 35 out of every 100 hospital admissions.

About 40% are preventable.

MitiHealth AI quantitatively predicts patient-specific risk for clinical harm events and allows for earlier interventions to diminish their negative impact on patient outcomes.

Harnessing Data for Improved Clinical Quality Outcomes, Risk Mitigation & Financial Performance

MitiHealth’s AI-Driven Approach

Real-Time Decision Support System

MitiHealth AI leverages artificial intelligence and machine learning to continuously monitor patient data and instantly alert caregivers when risk factors or patterns reveal a high probability of an upcoming adverse harm event, enabling timely interventions.

Predictive Analytics for Short & Long-Term Safety

MitiHealth AI can analyze electronic health records (EHRs), historical patient data, clinical notes and more to identify patterns that might not be readily apparent to human observers.

  • Early Detection: Our AI systems recognize risk factors before they escalate, enabling timely medical interventions

  • Data-Driven Decisions: Enhance clinical choices through comprehensive AI analysis

  • Improved Clinical Outcomes: Elevate patient care and mitigate adverse events through predictive AI insights
  • Streamlined Workflows: Our platform seamlessly integrates with your existing systems, allowing staff to focus on patient care

  • Reduced Errors: Minimize the likelihood of costly and harmful mistakes through AI-supported decision-making

  • Decreased Length of Stay: Our AI-driven risk mitigation strategies lead to more efficient care, reducing the time patients spend in the hospital.
  • Cost Savings: Avoid expensive legal issues and reputational damage by preventing adverse events

  • Margin Improvement: Reduce unnecessary LOS caused by avoidable adverse events
  • Continuous Learning: Our algorithms adapt to new data, keeping you ahead in harm event prediction

  • Future-Ready: Stay prepared for evolving healthcare technologies and practices

Harnessing Data for Improved Clinical Quality Outcomes, Risk Mitigation & Financial Performance

MitiHealth’s AI-Driven Approach

Real-Time Decision Support System

MitiHealth AI leverages artificial intelligence and machine learning to continuously monitor patient data and instantly alert caregivers when risk factors or patterns emerge, enabling timely interventions.

Predictive Analytics for Short & Long-Term Safety

MitiHealth AI can analyze electronic health records (EHRs), historical patient data, clinical notes and more to identify patterns that might not be readily apparent to human observers.

  • Early Detection: Our AI systems recognize risk factors before they escalate, enabling timely medical interventions

  • Data-Driven Decisions: Enhance clinical choices through comprehensive AI analysis

  • Improved Clinical Outcomes: Elevate patient care and mitigate adverse events through predictive AI insights
  • Streamlined Workflows: Our platform seamlessly integrates with your existing systems, allowing staff to focus on patient care

  • Reduced Errors: Minimize the likelihood of costly and harmful mistakes through AI-supported decision-making

  • Decreased Length of Stay: Our AI-driven risk mitigation strategies lead to more efficient care, reducing the time patients spend in the hospital.
  • Cost Savings: Avoid expensive legal issues and reputational damage by preventing adverse events

  • Margin Improvement: Reduce unnecessary LOS caused by avoidable adverse events
  • Continuous Learning: Our algorithms adapt to new data, keeping you ahead in harm event prediction

  • Future-Ready: Stay prepared for evolving healthcare technologies and practices

From Problem to Prevention

Preventing High-Frequency Risks with Data-Driven Insights

Medication-Related Adverse Events

Medication-Related Adverse Events

By cross-referencing the patient’s history, clinical data and medications, MitiHealth can more accurately predict the probability of both known side effects as well as unexpected adverse effects of treatment.

Procedures & Surgery-Related Complications

Procedures and Surgery-Related Complications

Through an in-depth analysis of preoperative and intraoperative data, MitiHealth’s machine-learning algorithms evaluate patient-specific risk factors for surgical complications. This provides actionable, data-driven insights that allow medical teams to implement targeted strategies, reducing the incidence of postoperative complications and improving overall surgical outcomes.

Patient Falls

Patient Falls

Utilizing the discovery power of machine learning, MitiHealth assesses the “hidden” patient-specific clinical and diagnoses-specific risk factors for falls and can provide a daily quantitative predictive value that allows for the implementation of specific preventive actions.

Earlier Detection of Impending Clinical Deterioration

Earlier Detection of Impending Clinical Deterioration

MitiHealth continuously monitors patient data to identify subtle yet critical changes in vital signs, lab results, and other clinical markers. This generates a real-time predictive value that enables swift intervention, effectively circumventing or mitigating the severity of clinical deterioration.

Hospital-acquired Pressure Injuries

Hospital-acquired Pressure Injuries

MitiHealth scrutinizes real-time vital signs, mobility levels, and historical data to identify early indicators of pressure injuries. This enables timely execution of targeted preventive measures, mitigating the risk and associated costs of this common but avoidable condition.

Unplanned Readmissions within 30-days

Unplanned Readmissions within 30-Days

By analyzing past medical history and admission information MitiHealth AI can forecast the risk of readmission, enabling more thorough initial treatment.

From Problem to Prevention

Preventing High-Frequency Risks with Data-Driven Insights

Medication-Related Adverse Events

Medication-Related Adverse Events

By cross-referencing the patient’s history, clinical data and medications, MitiHealth can more accurately predict the probability of both known side effects as well as unexpected adverse effects of treatment.

Procedures & Surgery-Related Complications

Procedures and Surgery-Related Complications

Through an in-depth analysis of preoperative and intraoperative data, MitiHealth’s machine-learning algorithms evaluate patient-specific risk factors for surgical complications. This provides actionable, data-driven insights that allow medical teams to implement targeted strategies, reducing the incidence of postoperative complications and improving overall surgical outcomes.

Patient Falls

Patient Falls

Utilizing the discovery power of machine learning, MitiHealth assesses the “hidden” patient-specific clinical and diagnoses-specific risk factors for falls and can provide a daily quantitative predictive value that allows for the implementation of specific preventive actions.

Earlier Detection of Impending Clinical Deterioration

Earlier Detection of Impending Clinical Deterioration

MitiHealth continuously monitors patient data to identify subtle yet critical changes in vital signs, lab results, and other clinical markers. This generates a real-time predictive value that enables swift intervention, effectively circumventing or mitigating the severity of clinical deterioration.

Hospital-acquired Pressure Injuries

Hospital-acquired Pressure Injuries

MitiHealth scrutinizes real-time vital signs, mobility levels, and historical data to identify early indicators of pressure injuries. This enables timely execution of targeted preventive measures, mitigating the risk and associated costs of this common but avoidable condition.

Unplanned Readmissions within 30-days

Unplanned Readmissions within 30-Days

By analyzing past medical history and admission information MitiHealth AI can forecast the risk of readmission, enabling more thorough initial treatment.

Stay Up-to-Date

Enter your email below to receive the latest updates from MitiHealth AI.