When it comes to risk optimization in healthcare, contextual data analysis is an imperative component to realizing efficiencies.
From measuring care management interventions, to informing preventative strategies to revealing costly patterns of care, Salient Health aggregates and analyzes claims and clinical data to provide deep insight into identifying and mitigating potential opportunities of risk. Salient Health provides healthcare organizations with the data intelligence to take action to optimize care costs, prevent adverse health outcomes and realize adequate compensation to care for their patients.
View risk in a new light with the power of data analytics
Accurately score risk and prioritize patient care
Classify patient populations into appropriate risk categories with contextualized, data-driven risk scoring to monitor and assess patient health.
Measure the impact of interventions
Accurately assess the performance of your patient intervention strategies. Leverage data and risk scoring to gauge population health, noting positive and negative trends.
Identify missed coding opportunities
63% of medical billing errors are due to coding errors. View patterns and opportunities to mitigate financial loss, penalties, care quality, patient trust and more.
Enhance clinical follow-up strategies
Deploy a data-driven approach to identify patient populations that require additional follow-up, while continually improving processes.
Identify patient cohorts suitable for Chronic Care Management
Chronic Care Management can be costly; however, not having a tool to identify patient need is even more costly. Identify and execute on patient cohorts suitable for CCM.
Recognize and understand readmission triggers
Does your patient population have a high likelihood of readmission? If you’ve identified a trend or are unsure, the right data can help to identify driving factors in readmission.
Realize a deeper understanding of potential risk
- Uncover evidence to effectively score risk with insight into disease prevalence, medical adherence, care access and advanced demographics
- Identify outliers and understand their unique situation on a micro level
- Recognize significant trends in risk scoring that could affect healthcare outcomes, billing discrepancies and reimbursement payouts
Analyze diagnosis and treatment codes to quantify opportunities of risk
- Accurately score and weigh diagnoses based on care utilization and cost intelligence trends within your population
- Identify high-risk patient cohorts to assign care utilization factors, understand resource needs, and analyze the efficacy of interventions
Manage operational risk to optimize care costs
- Understand and identify patients in need of chronic care management. Lean on deep contextual insight to create and deploy data-driven strategies such as preventative testing, wellness care or educational interventions to cater to the specific needs of this population.
- Reveal usage patterns of downstream care such as specialists, urgent care and hospital emergency room providers that could have been managed through primary care providers
Leverage your data to reveal potential outcomes
- Use clinical and claims data analysis alongside predictive analytics to understand likely scenarios based on patient cohorts
- Estimate seasonal disease prevalence to build data-driven intervention strategies such as patient education and preventative treatments, allocate appropriate resources and ensure adequate access to treatment
Realize a deeper understanding of potential risk
- Uncover evidence to effectively score risk with insight into disease prevalence, medical adherence, care access and advanced demographics
- Identify outliers and understand their unique situation on a micro level
- Recognize significant trends in risk scoring that could affect healthcare outcomes, billing discrepancies and reimbursement payouts
Analyze diagnosis and treatment codes to quantify opportunities of risk
- Accurately score and weigh diagnoses based on care utilization and cost intelligence trends within your population
- Identify high-risk patient cohorts to assign care utilization factors, understand resource needs, and analyze the efficacy of interventions
Manage operational risk to optimize care costs
- Understand and identify patients in need of chronic care management. Lean on deep contextual insight to create and deploy data-driven strategies such as preventative testing, wellness care or educational interventions to cater to the specific needs of this population.
- Reveal usage patterns of downstream care such as specialists, urgent care and hospital emergency room providers that could have been managed through primary care providers
Leverage your data to reveal potential outcomes
- Use clinical and claims data analysis alongside predictive analytics to understand likely scenarios based on patient cohorts
- Estimate seasonal disease prevalence to build data-driven intervention strategies such as patient education and preventative treatments, allocate appropriate resources and ensure adequate access to treatment
