Week 5 Discussion Post Topic 2 Response 1:
Instructions:
Responses must be substantial (several paragraphs each) Responses should have proper support with at least 1 different source as applicable.
Open data represents the idea that certain data should be freely available to everyone to use and republish as they wish, without restrictions from copyright, patents, or other mechanisms of control. Think of open data as the liberation of valuable information that fosters innovation, transparency, citizen participation, policy measurement, and a better, more efficient government. Anyone today can access a wide trove of scientific, economic, health, census, and government data. Data sources and types are being released every day. (Simon, 2014)
Linking the information from public data sets with the data in your corporate data warehouse may catalyze new business inferences and insights. There is a large body of publicly available information that is either free or inexpensive and that can add a lot of value to your data. Much of this data deals with either demographic or behavioral attribution associated with personal or organizational entities. (Loshin, 2012).
Currently, I work for a primary care provider company, that has 18 medical centers scattered throughout Miami. This company has plans to expand within Miami itself and in Broward County, so I think that they could need the public data to investigate in which areas it would be more convenient to open new medical centers, and what type of physicians or technicians would they need to include within the staff, taking into account factors such as the type of population, the most recurrent diseases and the medical insurances with the most enrollments in that area, and of course, take advantage of those areas where there are no, or there is the insufficient presence of other medical centers.
Reviewing the available public data, I found the Health Workforce Mapper App that could be useful for the company in its expansion plans.
The AMA Health Workforce Mapper is a free, customizable, interactive tool that illustrates the geographic distribution of the health care workforce. It gives you the data needed to help ensure our country’s patients have access to quality health care. Whether looking at state, county, or metropolitan area data, users can filter physicians and non-physician health care professionals by specialty and employment setting. (AMA, n.d.)
The AMA Health Workforce Mapper can be used to distinguish possible areas of both deficiency and overlap, and to identify high-priority areas for workforce expansion. With this tool, users can: (AMA, n.d.)
· Demonstrate to the law – or policy-makers the geographic distribution of the health care workforce to assist them in making appropriate, evidence-based decisions.
· Identify areas of a potential need for certain medical specialties for purposes of creating effective workforce strategies to expand patient access to care.
· View locations of hospitals, rural health clinics, and other health care facilities.
· View geographic features, including highways, mountain ranges, and waterways, that may have an impact on the distribution of health care professionals and facilities.
· View the new Patient Health Explorer which provides a rich supply of patient health data, including morbidity and mortality rates, information on patient health behaviors and social environment, health care access, and quality data.
By combining information from social networks (Facebook, Twitter, Tumblr, Instagram, LinkedIn, etc.), the blogosphere, (online) surveys, and online click behavior, as well as sales, product sensors, and public and open data, companies can develop detailed personas and microsegments to better target customers, improve conversion, and increase sales. It is important to understanding signals that reveal what consumers are seeing, doing, thinking, and sharing at any point in time. This is valuable to help drive relationships. When a customer gets in contact with an organization, the company knows who the customer is. This will improve customer service and, as such, customer satisfaction. (Van, 2014).
References:
Health Workforce Mapper. (n.d.) https://www.ama-assn.org/about/research/health-workforce-mapper
Loshin, D. (2012). Business intelligence: The savvy manager’s guide. ProQuest Ebook Central https://0634g45i0-mp01-y-https-ebookcentral-proquest-com.prx-keiser.lirn.net/lib/keiseruniversity-ebooks/reader.action?docID=1034439&ppg=1&query=”open%20data”
Simon, P. (2014). The visual organization: Data visualization, big data, and the quest for better decisions. ProQuest Ebook Central https://0634g45i0-mp01-y-https-ebookcentral-proquest-com.prx-keiser.lirn.net/lib/keiseruniversity-ebooks/reader.action?docID=1638155&ppg=1&query=”open%20data”
Van, R. M. (2014). Think bigger: Developing a successful big data strategy for your business. ProQuest Ebook Central https://0634g45i0-mp01-y-https-ebookcentral-proquest-com.prx-keiser.lirn.net/lib/keiseruniversity-ebooks/reader.action?docID=1596431&ppg=1&query=”big%20data%20public”
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