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How more complete, accurate clinical data can improve benefit design

By |2022-07-28T17:06:37-04:00July 28th, 2022|Tags: , , , , |

As of 2019, employer-sponsored health plans covered nearly 155 million Americans. No matter how costs trend for employers in the future, it’s clear that providing the right benefits for employees will only become more challenging. As benefit design for enrollment planning is finalized, these statistics point to a critical need for payers to ensure that self-and fully-insured employers have accurate healthcare analytics derived from highest-quality healthcare data.

The Cures Act conundrum — turning expanded data sharing into more effective data usage

By |2022-07-12T13:40:36-04:00July 12th, 2022|Tags: , , , , |

The 21st Century Cures Act was designed to give consumers greater access to their own clinical data and further advance interoperability. Yet, while these two goals are laudable, the Act does not make it any easier to get meaningful insights from payer data. This is because so much of the growing mountain of ingested data is unusable that it must be curated and enriched before it can yield anything of value.

Early Bird Catches the Worm: High-Quality Clinical Data Leads to Successful Care Intervention

By |2022-06-01T16:25:17-04:00June 1st, 2022|Tags: , , , , |

Incomplete, inaccurate, or delayed data analyses can all negatively impact clinical decision-making, case management, and disease management interventions. Payers looking to identify gaps in care often utilize claims data that can take many months to receive face challenges obtaining accurate high-quality clinical data from their contracted providers. Data curation services, which acquire, standardize, and normalize clinical data, can present health plans with a complete picture of member encounters.

The Predicament: Quality Insights from Less Than Quality Data

By |2022-05-11T16:43:02-04:00May 10th, 2022|Tags: , , , |

The volume of available data is high, as are the many systems that store and process that data. Despite the quantity and a plethora of IT tools, organizations are faced with the “now what?” dilemma. There is a growing realization that the answer is not simply more data; rather, ensuring that existing data is accurate, complete, and accessible.