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6 Reflections on the Workshop
Pages 95-102

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From page 95...
... "I heard some examples over the course of the day that made the point that economic development or education might be a better way to frame the discussion to get those factors that produce health into the conversation." The discussions of the day, said Isham, led him to think about the systems and the relationships purpose, measurement, data resources, and infrastructure required to capture data, and results and how all of those systems components will form an effective feedback loop to those who are on the ground working to change the system. How these components interact with one another, has not been described adequately in terms of the measurement system, he said.
From page 96...
... On the other hand, the point was made throughout the day that metrics and data need to be relevant to the people in a particular community and that data collection systems need to engage local community members. Isham wondered if population health could borrow successful methods for what he called mass customization from industry, where there are standards for creating things that are then modified at the point of delivery to give customers exactly what they need.
From page 97...
... California, said Caplan, does not have a statewide system for tracking how children get to school, and the schools that do track this do it in a variety of ways. Her team is now forming a multiagency task force to look at this question and identify who holds the data, and if nobody holds the data, to determine how to develop a system that spans education, public health, transportation, land use planning, and other sectors and is useful to all of them.
From page 98...
... As a funder of programs in nine communities in New York State, he said that it is important to learn from all the efforts that others are funding and to develop common methods of assessing the effectiveness of these programs. Steven Woolf said, "our ideas of what metrics are available are stilted by the ways we are accustomed to collecting data." Social media, for instance, provides an alternative to the traditional methods of collecting data using surveys and other traditional instruments.
From page 99...
... Instead, I think it is best to think about what you want to do with a sensor and then tools will evolve rapidly." Providing a perspective on the goals of the technology industry, B ­ hatia said it is not interested in health, but is interested in an irreplaceable, scalable business model with a 10-fold or 100-fold return. "Health care is a $2 trillion beast, and the opportunity is there." He believes that harnessing the power of the technology community is a challenge the public health community should accept.
From page 100...
... Mary Pittman from the Public Health Institute agreed there is not a good business model for health and suggested a few components for such a model: equity, policy drivers to improve equity, and measures of the cost of inequities; quality; reorganization of health care to reduce the costs of the current chaotic approach to health; and investments to improve population health with a return on investment metric. Kelly Worden, responding to Bhatia's comment about the lack of a business model for health and Teutsch's concern about acting without a sufficient knowledge base, pointed to the need for process metrics that was mentioned in the morning's discussions.
From page 101...
... Monroe then proposed that public health needs marketing metrics, relationship ­ etrics, m and measures for unintended consequences, such as the poor health outcomes seen today in Eastern Kentucky that are the consequence of policy decisions made decades earlier. Thomas LaVeist, commenting on the concern that population health puts too much emphasis on health care in the clinical setting, said the reality is that health care is where the United States allocates significant financial resources and the way those resources are deployed has a disproportionate impact on population health.
From page 102...
... How do we then educate the health care providers about what to do with that information? " On a practical matter, research to address those kinds of questions could draw on the financial resources being devoted to the personalized medicine enterprise.


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