Microsoft in Health Blog
Business intelligence (BI) has rapidly become a mission critical necessity for healthcare organizations, and is now foundational to the delivery of value-based care including: reducing costs while increasing quality, managing population health, improving process efficiency and patient outcomes.
It is not uncommon to see healthcare organizations unknowingly restrained by their limited understanding of the potential of mining BI data to support front line clinical staff and finance professionals.
Challenges that existed merely a few years ago – acquiring BI analysts, mining data, crunching and presenting data – no longer exist for organizations at the forefront of BI. Other, broader challenges now exist in leveraging data as an enterprise asset: how to deliver on the vision of producing contextual BI organization-wide, getting the right data to the right person at the right time. To make good on such a vision, an organization must have systems in place to bring forth highly precise, intuitive and actionable insights that teams and individuals need to efficiently improve the healthcare delivery.
Three prevailing barriers exist, and must be overcome, to realize the vision of contextual BI for clinical and financial teams, and employees. It has to be easy, low-cost, and fast. Historically, these adjectives have rarely coexisted in the same sentence with BI.
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