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affairs of job satisfaction. She exuberantly shared how pleased she was that she was so easily able to read her unit story and identify what aspects of the story were most important. She said they’d been calling the report their “bible of operations” because it provided a clear map for action planning. This “bible” was worn with use which informed me without words that they were entranced by their data and its application to operations. They could prioritize what needed to be addressed first, second, and so on, knowing that time and dollars would not be wasted on ill‐conceived efforts. We measured data every 15 months, and by the time we measured again, they were eager to respond and see results generated by their unit‐specific model that told their unique story. Her unit scores were among the highest in the 800‐bed urban hospital, and the response rate for her job satisfaction survey increased every year until it was consistently at 100%. Staff knew that if they responded to the survey, their voices would be heard and acted upon. They all loved to not only hear their own story, derived from the data they provided, but to collaboratively work to make the next story even better.

       When is the last time you read a report that was so meaningful, relevant, and helpful that it changed forever how you do your process improvement work?

      Readers of this chapter are likely to relate to at least one of the 16 steps identified: administrators understand the outcomes; nurses understand the hunches; theorists understand the use of formal and informal theory; analysts understand the math; engineers, data scientists, programmers, and informaticists understand the movement from manual to automated data collection and reporting; and some of these people understand many or all of these 16 steps. Much of the guesswork is eliminated as hunches are tested mathematically before they are tested in practice. When healthcare organizations start using predictive analytics to improve outcomes, a big change happens in the care environment as better informed choices are made in how care is provided. Using the 16 steps described in this chapter will enable people in healthcare to move beyond managing negative clinical, financial, or operational outcomes, into a new paradigm of providing care. This move from reactive to proactive management of outcomes puts organizations light‐years ahead of where they would otherwise be, while engaging teams in ways few of us have ever seen before.

       When healthcare organizations start using predictive analytics to improve outcomes, a big change happens in the care environment as better informed choices are made in how care is provided.

       John W. Nelson and Jayne Felgen

      A paradigm is a model or example of a way to view things. New paradigms seek to deliver new truths. This fifteenth century concept was applied to social sciences by Kuhn in an essay which proposed that new models and ways of thinking in science are always rebuffed by traditional views until a convincing argument is provided through careful assemblance of the new theory into a model (1962). Models for social and psychological constructs are built on observations and beliefs. Sometimes these observations and beliefs are discussed among scientists who then may conduct research, using models, to study the veracity and validity of these observations and beliefs.

      A special note is made here about the framework of care called the Caring Behaviors Assurance System© (CBAS), because it is the framework of care for which there currently exists the most specified measurement instruments to capture the overall effectiveness of its implementation and outcomes and thus the argument that caring contributes to healing. Chapters 17 and 18 provide a thorough description of CBAS as well as a review of how its effectiveness has been successfully measured. It will not be reviewed in detail in this chapter on theory and frameworks because it is so thoroughly reviewed later and because earlier case studies in this book are taken from organizations using other frameworks of care.

      Nurses have revolutionized healthcare at least twice. Florence Nightingale's reformation of care delivery is the most well‐known example. Prior to Nightingale, care delivery was provided by monks and nuns of religious traditions (Goodnow, 1929). Nightingale's method of care delivery in 1854 espoused the need for a clean environment and individualized care of the patient (Nightingale, 1959). By insisting on a clean environment, she ensured that germs were not spread as rampantly from patient to patient. In effect, her adoption and enforcement of the paradigm “environments of care must be clean” improved patient safety. Germs and how disease spread were not clearly understood in the mid‐1800s, but scientific advancement is often discovered by accident (Kuhns, 1962). Nightingale's ability to document a decrease in mortality rate from 42.7% to 2.2% for soldiers in the Crimean war gained worldwide attention which resulted in her woman‐only model of nursing becoming the standard of care across the globe (McDonald, 2001; Neuhauser, 2003).

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