Perhaps just several years ago, in some healthcare circles, the idea that every patient care organization needed top-level data analytics to support their operations, might have been seen as a "nice-to-have"; but with hospital and health system financial margins strained, with intensified staffing shortages, and with more and more hospitals, medical groups, and health systems plunging into value-based contracting, developing top-level data analytics capability has become a must. From your perspective, what are provider leaders doing right and wrong in this area right now, and what are the absolute analytics imperatives in this moment? Healthcare organizations need a laser focus on analytics and that requires a strong data acquisition strategy and a team of experts to manage the data centrally. One of the critical mistakes I see being made is to not centralize and control data analytics and report generation resulting in varied metric definition that proves misleading. The sole purpose of analytics is to inform decisions regarding staffing, productivity, patient satisfaction, operational efficiency, financial health, and host of other topics. If the source of the data, the data acquisition, and the analysis are not well defined and consistently managed, organizations will make ill-informed decisions and experience harm that is not detected for months and sometimes years.
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