For True HIT Interoperability, Get on the (Service) Bus!

By |2020-08-11T21:47:09+00:00March 29th, 2016|Categories: Business Intelligence|Tags: , , |

Forward thinking healthcare providers have exciting new options to connect their existing systems and share data across the enterprise.

The Importance of Outcomes Research

By |2020-08-11T21:45:30+00:00March 7th, 2016|Categories: Business Intelligence, Healthcare Industry, Outcomes Research|Tags: , , |

For a glimpse into the future of clinical analytics, consider the approach that public health researchers have been using for years.

Value-based Analysis: Leveraging Clinical & Financial Data

By |2020-08-11T21:43:55+00:00February 25th, 2016|Categories: Business Intelligence|Tags: , , |

Forward thinking providers should consider not just which data to analyze, but in what context and with what goal(s) in mind in order to accommodate the shift to value-based reimbursement.

5 Ways to Increase the Effectiveness of Your CDI Program

By |2020-08-11T21:25:00+00:00November 11th, 2015|Categories: Business Intelligence, Healthcare Industry|Tags: , |

As providers begin to see the effects of ICD-10, it becomes more important than ever to review your Clinical Documentation Improvement (CDI) program. The increased specificity that ICD-10 demands, along with the productivity concerns, provides the impetus to not only improve your documentation, but also all your processes around CDI. Succeeding now means we need to work smarter, and that reinforces the need for a multi-faceted approach to maximize our CDI results. Whether you have a well-established CDI program, are just getting started or somewhere in between, here are five areas to review to ensure you’re getting the most out of your CDI efforts.

Using Non-Clinical Data Can Increase Impact of Analytics

By |2020-08-11T21:20:16+00:00October 12th, 2015|Categories: Business Intelligence|Tags: , , , , |

Healthcare is moving quickly and irreversibly into a new era of risk-based accountable care. This business model will leverage predictive analytics on big data as a primary conduit to adapting and eventually succeeding in value-based purchasing programs. As such, it’s critically important to bring together traditional clinical and financial data in meaningful ways. However, there are many other sources of data available that can be factored into analysis. If properly collected and processed, this can provide valuable insight into managing care and aligning resources in ways that improve outcomes while also achieving value metrics.

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