Arcadia experts to share insights on using unstructured data to report on alcohol misuse measure
Alcohol misuse is a critical population health issue, accounting for 1 in 10 deaths. The Center for Disease Control found that Americans lost an average of 2,560,290 hours of potential life every year between 2006 and 2010 due to alcohol-attributable deaths, with causes of death ranging from acute pancreatitis to suicide to water transport accidents.
Preventing and treating alcohol misuse is a priority for many health plans and health systems. Medicaid programs around the country are placing an emphasis on identifying and treating alcohol misuse, particularly given the relationship between alcohol misuse and socioeconomic determinants of health.
In that vein, NCQA developed the Unhealthy Alcohol Use Screening and Follow Up measure to help providers understand how well they are meeting the needs of their patients. This measure reflects “the percentage of members 18 years or older who were screened for unhealthy alcohol use using a standardized tool and, if screened positive, received appropriate care.”
However, measures are only as accurate as the underlying data used to report them. Alcohol misuse is particularly challenging for health plans to understand, as this information is often captured as unstructured data.
Working with Unstructured Data
Many organizations struggle to work with data that is not stored in a structured field in the EHR, or that may lie across several EHRs. In a webinar for NCQA’s Unhealthy Alcohol Use Screening and Follow-Up (ASF) Learning Collaborative, Arcadia experts will speak about:
- Integration of clinical data across various EHR platforms
- Overview of how software or tools can improve clinician workflow
- Data aggregation techniques that encourage sharing and interoperability across health systems
Anna Basevich, VP Customer Success
Anna leads the Customer Success team at Arcadia, responsible for engaging clients in developing and executing strategies to succeed in value-based care. Anna and her team guide clients through the challenges of implementing successful enterprise-level programs to improve quality, manage cost and utilization, and drive accurate risk-adjusted payment.
Anna has over ten years of experience managing implementation and client services work at Arcadia and at Deloitte Consulting; her past work has included numerous programs around health system quality measurement and improvement under ACO and risk-based contracts, initiatives aimed at improving accuracy and completeness of documentation for risk adjustment, state health insurance exchange implementations, Patient Centered Medical Home transformations, HIE strategy and analytics, and large-scale health IT implementations.
Anna received her Bachelor’s degree from Wellesley College.
Lauren McNamara, Product Manager for Performance Analytics
Lauren McNamara is a Product Manager at Arcadia. She designs and oversees the development of the Arcadia Analytics applications that provide population-level and patient-level insight into care quality and contract performance.
Lauren attended Stonehill College and received a degree in healthcare administration and business administration, and then joined Boston Medical Center’s Trauma and Surgical Services department to drive program promotion, certification, and analytics initiatives. She joined to Arcadia as a senior consultant focused on data analytics and technology in implementation and account management roles. Lauren left Arcadia to work with a consulting start up defining strong go-to-market strategies for early stage healthcare technology companies, then came back to Arcadia in the fall of 2017 as a product manager responsible for performance and quality analytics.
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