White Paper – Health Data Analytics

  • Posted by Joe Crandall
  • On February 20, 2015
This paper is targeted toward small and medium sized healthcare organizations that have Health Data Analytics (HDA) program and are seeking to expand their capability.  Recent events are demanding organizations develop or mature their capability to leverage information that originates from disparate data sources. Discussed in this paper are the key concepts associated with a […]
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Health Data Analytics – Drivers for Improvement

  • Posted by Joe Crandall
  • On September 9, 2013
Why is data becoming so important in healthcare now? Besides being the latest victim of immense negative attention, healthcare is making a monumental shift from a volume based business to a value based business. In the past, tracking of metrics was pretty straight forward. An over simplification of the process is: PATIENTS IN + PROCEDURES […]
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Health Data Analytics – The Enablers for Success

  • Posted by Joe Crandall
  • On September 6, 2013
We discussed the Path to Data Maturity previously. An integral components of the HDA End-to-End process are the enablers. The enablers work in concert together to efficiently deliver the desired outcomes. Each enabler’s maturity must be commensurate with each other at the organizations desired level of HDA maturity. The aim of maturity is for each […]
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Health Data Analytics – End to End Process

  • Posted by Joe Crandall
  • On September 4, 2013
An End-to-End HDA process accounts for all the activities from data collection through action and establishes accountability—the HDA process is the logical sequencing of the key tasks/ steps required by all stakeholders in order to produce HDA enabled action.  Once the HDA process is established, it is used for all stages of maturity.   The […]
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Health Data Analytics Maturity – Path to a Data Driven Culture

  • Posted by Joe Crandall
  • On August 29, 2013
Is your organization data adverse or data driven? To have a data driven organization, it must embrace the gathering and sharing of data. Organizations can purchase the latest business intelligence tools, but not be optimized to leverage the power of their data. This is because the organization is still data adverse with a fancy tool. […]
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