An ever-increasing volume of digitized health information presents both challenges and opportunities across the healthcare industry. Amid this flood of data and scrutiny to efficiently leverage it, global health organizations must rely on trusted analysis to make faster, more informed decisions to improve quality of care and contain costs.
Altair’s Data Analytics solutions help reduce healthcare IT complexities and add efficiencies in areas like claims/reimbursement processing, revenue cycle management, interoperability, patient adherence and satisfaction analysis, and physician performance analysis.
Providers often rely on multiple, often proprietary, legacy applications to help process hospital finances, operational reporting, and outbound claims and inbound remittances. Our data prep solutions help large health systems and private practices alike do more with less by automating manual, error-prone workflows to rapidly process disparate data sources into a trusted, shareable asset.
With predictive analytics, healthcare data analytics, and ML, providers can anticipate and reactively scale resource and utilization needs (such as number of beds and staffing) as well as identify and target at-risk patient populations with proactive outreach to help reduce costly ER visits and readmissions.
With the transition to and focus on value-based care in the healthcare industry, payers must optimize strategies to manage cost and risk while driving value for patients.
Insurers can collate and transform volumes of clinical, demographic, and operational data, allowing for a full picture of patients. Compare and contrast schedules of benefits with Altair’s data prep solutions to adjust programs in reaction to market disruptors, such as regulatory and reimbursement changes, or in preparation for negotiations.
Predictive modelling on unmet need and patient trends can aid payers in assessing costs and high-risk members by geography and program type to anticipate pricing adjustments.
Globally, life sciences are challenged with an ever-increasing focus on the importance of advanced analytics. Altair allows professionals at all skill levels to master data prep, AI, and machine learning in a no-code environment, so organizations can execute strategic decisions across commercial areas and improve the efficiency of financial back-office functions.
Brand and Market Access teams focused on optimizing the global launch and uptake of a new asset can collate and blend disparate data sources, such as claims, EMR, primary market research, etc., to track analogue usage across lines of therapy and anticipate success. Prepare for a successful launch by analyzing commercial and regulatory trends, ensuring compliance and predicting adherence compared to competitors.