Transform your data into prescriptive insights
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.
Create new opportunities with analytics, machine learning, and actionable intelligence across your health data.
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 operational efficiency by synchronizing management efforts across clinicians and administrators to reveal actionable insights into cross-institutional operations.
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?
Create new opportunities with analytics, machine learning, and actionable intelligence across your health data.
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 operational efficiency by synchronizing management efforts across clinicians and administrators to reveal actionable insights into cross-institutional operations.
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.
Create new opportunities with analytics, machine learning, and actionable intelligence across your health data.
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 operational efficiency by synchronizing management efforts across clinicians and administrators to reveal actionable insights into cross-institutional operations.
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?
Create new opportunities with analytics, machine learning, and actionable intelligence across your health data.
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 operational efficiency by synchronizing management efforts across clinicians and administrators to reveal actionable insights into cross-institutional operations.
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.
Create new opportunities with analytics, machine learning, and actionable intelligence across your health data.
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 operational efficiency by synchronizing management efforts across clinicians and administrators to reveal actionable insights into cross-institutional operations.
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?
Create new opportunities with analytics, machine learning, and actionable intelligence across your health data.
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 operational efficiency by synchronizing management efforts across clinicians and administrators to reveal actionable insights into cross-institutional operations.
VIDEXA brings disparate healthcare data sets together
into one consolidated environment.