Want to stay up to date on Onpoint-sponsored events, our latest research articles, and data spotlights? You’ve come to the right place! Use the links below to explore and interact with our team and their latest findings.
Onpoint’s team -- expert in data integration, enhancement, analytics, delivery, and dynamic reporting -- assists our clients’ end-user communities in maximizing the use of their available data. Through collaborative webinar sessions, we work to ensure a transparent knowledge base and cross-train end users on how to most efficiently and effectively work with their data.
January 30, 2019; 12:00pm - 1:00pm ETAs we head into the new year, join us for an exploration of the codes most often reported to our clients’ APCDs – and how to report them appropriately. This webinar will offer an overview of what our team has seen in the past and what we anticipate seeing as we move into 2019. The discussion, which will include Q&A throughout, will span the difference between the various coding systems that support the data crucial to APCD analysts, including Category III, CPT, HCPCS (e.g., D, G, J, and T code sets), HIPPS, ICD procedure codes, and more.
March 26, 2019; 12:00pm - 1:00pm ETA reliable method of following individuals – both patients and providers – is one of the most critical components of a reliable APCD. Overcoming variable and incomplete reporting of member and provider identifiers is one of the most formidable challenges to building these ID systems, typically known as master patient and provider indices (MPIs). Join Onpoint to learn more about how we overcome these challenges to build MPIs that help our clients and their end users successfully build analytics based on their APCD data.
May 28, 2019; 12:00pm - 1:00pm ETHow do you resolve repeatedly adjudicated claims to arrive at the final claim? Join us to walk through some of the approaches that we take to provide end users with a fully consolidated claim and to review best practices on selecting the right claim records (e.g., orphan claims, duplicate claims, etc.). Onpoint has worked with health plans across the nation to understand myriad approaches to claims consolidation along with using analytic value-adds. Our team is excited to share some of these solutions when working with complex plan submissions.
July 30, 2019; 12:00pm - 1:00pm ETWhile they may sound alike, Medicaid and Medicare are two very different programs, especially when compared to commercial payers. Understanding these differences is critical – not only when collecting and processing their claims – but also when analyzing their data. This webinar will offer an overview of these differences, providing insights into how best to interpret and make use of the claims data across payer types, including an exploration of Medicaid- and Medicare-specific data elements, billing rules for hospital-owned practices and FQHCs, CPT and HCPCS codes specific to Medicaid and Medicare, how these government payers work with commercial payers and with each other, dual-eligible members, Medicare as a secondary payer (MSP), and more.
September 24, 2019; 12:00pm - 1:00pm ETAPCDs are invaluable resources to policymakers and researchers alike. Given the complexity of the data that these important resources contain, however, they also can require a certain level of skill to interpret and use appropriately. To make this job easier, Onpoint offers a range of enhancements for end users. One of these is our Member Month table, which summarizes each member’s eligibility record for each month of reported coverage; identifies their fluctuating and overlapping changes in coverage across commercial, Medicaid, and Medicare data; and effectively designates a single type of coverage as primary per month based on industry-standard algorithms and tie-breaker logic. This webinar will train end users in how to best leverage the Member Month table, providing lessons learned along the way and exploring a range of use cases.
Onpoint’s analytics team is focused on providing innovative and insightful research for our clients. Whether independently authored or created in close collaboration with our clients’ teams, our team’s analytic studies are designed to advance the conversation, explore new opportunities, and shed light on how healthcare can be delivered as effectively as possible.
Statewide Data Infrastructure Supports Population Health Management: Diabetes Case Study
Craig Jones, Mary Kate Mohlman, David Jorgenson, Karl Finison, Katie McGee, and Hans Kastensmith.
Am J Manag Care. 2017;23(10):e331-e339.
Synthesis of Research on Patient-Centered Medical Homes Brings Systematic Differences Into Relief
Anna D. Sinaiko, Mary Beth Landrum, David J. Meyers, Shehnaz Alidina, Daniel D. Maeng, Mark W. Friedberg, Lisa M. Kern, Alison M. Edwards, Signe Peterson Flieger, Patricia R. Houck, Pamela Peele, Robert J. Reid, Katharine McGraves-Lloyd, Karl Finison, and Meredith B. Rosenthal.
Health Aff (Millwood). March 2017 vol. 36 no. 3 500-508.
Risk-Adjustment Methods for All-Payer Comparative Performance Reporting in Vermont
Karl Finison, MaryKate Mohlman, Craig Jones, Melanie Pinette, David Jorgenson, Amy Kinner, Tim Tremblay, and Daniel Gottlieb.
BMC Health Serv Res. 2017, 17:58.
Impact of Medication-Assisted Treatment for Opioid Addiction on Medicaid Expenditures and Health Services Utilization Rates in Vermont
Mary Kate Mohlman, Beth Tanzman, Karl Finison, Melanie Pinette, and Craig Jones.
J Subst Abuse Treat. August 2016, vol. 67: 9-14.
Vermont's Community-Oriented All-Payer Medical Home Model Reduces Expenditures and Utilization While Delivering High-Quality Care
Craig Jones, Karl Finison, Katharine McGraves-Lloyd, Timothy Tremblay, Mary Kate Mohlman, Beth Tanzman, Miki Hazard, Steven Maier, and Jenney Samuelson.
Popul Health Manag. 2016;19:196–205.
Tracking Spending Among Commercially Insured Beneficiaries Using a Distributed Data Model
Carrie H. Colla, William L. Schpero, Daniel J. Gottlieb, Asha B. McClurg, Peter G. Albert, Nancy Baum, Karl Finison, Luisa Franzini, Gary Kitching, Sue Knudson, Rohan Parikh, Rebecca Symes, and Elliott S. Fisher.
Am J Manag Care. 2014;20(8):650-657.