Clinical analytics
Transform your data into prescriptive insights
Predictive care guidance
What is predictive care guidance?
Predictive care guidance uses analytical solutions to search through large amounts of data from sources like electronic medical records, smart medical devices, patient and population demographics, and the public domain to find hidden patterns and trends and predict outcomes for individual patients. Most predictive care guidance relies on IA learning models that become more precise when additional data and cases are introduced.
How can it help your organization?
Predictive care guidance enables clinicians to determine the likelihood of disease and helps with determining diagnoses and predicting future wellness or illness. Predictive guidance can improve the quality of healthcare and reduce the costs of care. It provides clinicians with answers they’re seeking for individual patients, with a focus on increasing the accuracy of diagnoses.
Connect your health data using HL7 FHIR
Create new opportunities with analytics, machine learning, and actionable intelligence across your health data.
Use insights to deliver value-based care models
Transform health outcomes using data-driven insights to improve clinical decision-making, help reduce process latency, and create proactive care plans to help reduce costs.
Improve staff management and forecast patient throughput
Improve operational efficiency by synchronizing management efforts across clinicians and administrators to reveal actionable insights into cross-institutional operations.
Start with these questions
Do you use analytical systems that help clinicians predict the effectiveness of treatments?
If so, in what areas are you applying predictive care guidance?
If not, are there areas within the provision of care in which you would find such systems especially useful?
Benefits of implementing predictive care guidance
for providers
- Clinical pathway prediction. Assess and predict which treatment option will likely produce the best outcome for a patient.
- Drug effectiveness. Predict which drug will produce the best outcome for a patient.
- Disease progression prediction. Predict the likely path and progression of a disease.
for payors
- Health risk prediction. Predict the likelihood that a patient presenting a certain set of symptoms is at risk for an adverse health event.
- Predictive risk scoring. Assess which patients might be at risk for readmissions and hospital-acquired infections.
Connect your health data using HL7 FHIR
Create new opportunities with analytics, machine learning, and actionable intelligence across your health data.
Use insights to deliver value-based care models
Transform health outcomes using data-driven insights to improve clinical decision-making, help reduce process latency, and create proactive care plans to help reduce costs.
Improve staff management and forecast patient throughput
Improve operational efficiency by synchronizing management efforts across clinicians and administrators to reveal actionable insights into cross-institutional operations.
Behavioral analytics
What is behavioral analytics?
Behavioral analytics is a term used in marketing to describe the analysis of consumer behavior patterns that informs how to market or deliver an action in a way that increases the odds of adoption. While clinical analytics can recommend a clinical action, applying behavioral analytics increases the likelihood of the action being taken.
How can it help your organization?
Incomplete application of evidence-based medicine is a leading cause of poor outcomes and an increased overall cost of care. Behavioral analytics can increase the adoption of recommended practices.
Connect your health data using HL7 FHIR
Create new opportunities with analytics, machine learning, and actionable intelligence across your health data.
Use insights to deliver value-based care models
Transform health outcomes using data-driven insights to improve clinical decision-making, help reduce process latency, and create proactive care plans to help reduce costs.
Improve staff management and forecast patient throughput
Improve operational efficiency by synchronizing management efforts across clinicians and administrators to reveal actionable insights into cross-institutional operations.
Start with these questions
How well do your care providers and care recipients conform to recommended care protocols?
Does your organization use value-based payment systems, in which quality or outcome measures affect your reimbursements?
Benefits of implementing behavioral analytics
for providers
- Patient engagement. Engage patients and care providers to ensure conformance and increase the likelihood of the best possible care.
- Readmissions. Reduce readmissions and even prevent initial admissions through proactive targeting.
for payors
- Individual health and well-being. Improve health awareness and preventive care choices in patients.
Connect your health data using HL7 FHIR
Create new opportunities with analytics, machine learning, and actionable intelligence across your health data.
Use insights to deliver value-based care models
Transform health outcomes using data-driven insights to improve clinical decision-making, help reduce process latency, and create proactive care plans to help reduce costs.
Improve staff management and forecast patient throughput
Improve operational efficiency by synchronizing management efforts across clinicians and administrators to reveal actionable insights into cross-institutional operations.
Population health
What is population health?
Population health strives to influence the delivery of care to a group of individuals who have similar healthcare needs, as opposed to focusing on evaluating and treating medical conditions one patient at a time.
How can it help your organization?
Payment systems are moving from a fee-for-service business model to one that incorporates value into the payment equation. Meeting payor requirements during this transition requires greater use of data and analytics, including better data on patient-reported outcomes, social determinants of health, patient and member risk stratification, and activity-based costing.
Connect your health data using HL7 FHIR
Create new opportunities with analytics, machine learning, and actionable intelligence across your health data.
Use insights to deliver value-based care models
Transform health outcomes using data-driven insights to improve clinical decision-making, help reduce process latency, and create proactive care plans to help reduce costs.
Improve staff management and forecast patient throughput
Improve operational efficiency by synchronizing management efforts across clinicians and administrators to reveal actionable insights into cross-institutional operations.
Start with these questions
Which of your patient populations consumes the most resources?
Is your organization using value-based payment systems, in which quality or outcome measures affect your reimbursements?
Benefits of implementing population health
for providers
- Integrated care. Implement integrated care-coordinated treatment across care team members, including clinicians, social workers, physical therapists, and behavioral healthcare professionals. Analytics can help identify and measure the effectiveness of care across all care settings.
- Specialty care. Use data to determine the best ways to manage health needs and outcomes for entire populations of people suffering from chronic conditions.
- Disease progression prediction. Predict the likely path and progression of a disease.
for payors
- Self-care management. Use patient data to improve patients’ understanding of their role in their wellness, help them stay healthier, and reduce the cost per service.
- Cost management. Manage the health of populations by creating better outcomes at an efficient cost.
Connect your health data using HL7 FHIR
Create new opportunities with analytics, machine learning, and actionable intelligence across your health data.
Use insights to deliver value-based care models
Transform health outcomes using data-driven insights to improve clinical decision-making, help reduce process latency, and create proactive care plans to help reduce costs.
Improve staff management and forecast patient throughput
Improve operational efficiency by synchronizing management efforts across clinicians and administrators to reveal actionable insights into cross-institutional operations.
VIDEXA can help
VIDEXA brings disparate healthcare data sets together
into one consolidated environment.
