Working in Data: ORDER CAREERS, DESC
About the role
I’ve had the opportunity to work in health data for a while now. There are most definitely gradations and ranks in the data verse career list. In my first role as a health technologist, I learned a massive wealth of experience and practical knowledge about what works and how to achieve small (and large) goals.
Working at smaller health care centers, often somebody will need to do double-duty in the clinic. For my work at Ke Ola Mamo in Honolulu, I not only built out the Cognos engine for our analytics, but digitized paper records, helped developed workflows for case managers, and customized the electronic medical record system to fit the clinic needs (probably saving the organization $20,000 or so in consultant fees).
In addition, I mapped the clinic population to KML for Google Earth and build a reporting engine to extract system data and deliver staff productivity reports to management. Importantly, keep in mind this was my first job in healthcare analytics.
Had this been a larger health system, my role would have been much more constricted and specific. The breadth of the work role was mandated by the lack oF IT staff and the available budget, not necessarily the original job description. When I saw an opportunity to develop or experiment with data in one of its permutations, I grasped it (hence the reporting engine and KML analysis). For this, I’ve got three points of advice: 1. I acted first, 2. My typical method was that I informed management of my end goals rather than processes, and 3. I understood that not all my development efforts would be rewarded equally.
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Indeed, the prime element about #3 is crucial: not everything will succeed. Often multiple incarnations of a project are required to have a polished result – Rome wasn’t built in a day. Undertaking projects involves being able to spend the concentrated time and focus until you’ve got working results. The world is big on people who dream big, but fruitful action is in short supply.
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Not the right fit? Search for Working in Data: ORDER CAREERS, DESC jobs in Heart's Content, Newfoundland and Labrador, Canada
About Vellum Information
Vellum Information is a research and development platform focused around information visualization, web and data mining and analysis, healthcare and global health technology and data utilization.
We have a firm foot in open-source technology and public datasets, and believe that the best solutions are found in the root. It is our job to unearth these depths and make your answers accessible.
Computer science is really an art. They do not teach that in school, but the truth of it is that computers have a common language, and there are infinite dialects of it spoken around the world.
Current projects include:
Heath information technology and public health matters (and how the two meet).
Information visualization and beautiful data. This is a mantra for 2011: Make it simple, make it beautiful. Data can and should be straighforward and appealing. The era of static tables and charts is past.
Database development, web and application deployment and design - expert system design, case-based reasoning systems, knowledge management, and AI applications.
A keen interest in the Cloud and how it can be utilized to deploy an application across endless instances, which ties firmly into the rest of our projects.
Data/web mining and analysis, text mining, and content analysis. Semantic content and ontology creation.
Publishing several reports, as well as working on some academic presentations and publications. Look for us on Amazon and Google Books.
Similar Jobs
Working in Data: ORDER CAREERS, DESC
About the role
I’ve had the opportunity to work in health data for a while now. There are most definitely gradations and ranks in the data verse career list. In my first role as a health technologist, I learned a massive wealth of experience and practical knowledge about what works and how to achieve small (and large) goals.
Working at smaller health care centers, often somebody will need to do double-duty in the clinic. For my work at Ke Ola Mamo in Honolulu, I not only built out the Cognos engine for our analytics, but digitized paper records, helped developed workflows for case managers, and customized the electronic medical record system to fit the clinic needs (probably saving the organization $20,000 or so in consultant fees).
In addition, I mapped the clinic population to KML for Google Earth and build a reporting engine to extract system data and deliver staff productivity reports to management. Importantly, keep in mind this was my first job in healthcare analytics.
Had this been a larger health system, my role would have been much more constricted and specific. The breadth of the work role was mandated by the lack oF IT staff and the available budget, not necessarily the original job description. When I saw an opportunity to develop or experiment with data in one of its permutations, I grasped it (hence the reporting engine and KML analysis). For this, I’ve got three points of advice: 1. I acted first, 2. My typical method was that I informed management of my end goals rather than processes, and 3. I understood that not all my development efforts would be rewarded equally.
Advertisement
Indeed, the prime element about #3 is crucial: not everything will succeed. Often multiple incarnations of a project are required to have a polished result – Rome wasn’t built in a day. Undertaking projects involves being able to spend the concentrated time and focus until you’ve got working results. The world is big on people who dream big, but fruitful action is in short supply.
Advertisement
Share on X (Opens in new window) X Share on LinkedIn (Opens in new window) LinkedIn Share on Facebook (Opens in new window) Facebook Email a link to a friend (Opens in new window) Email Print (Opens in new window) Print Share on Reddit (Opens in new window) Reddit Share on Tumblr (Opens in new window) Tumblr
Like Loading...
Related
Not the right fit? Search for Working in Data: ORDER CAREERS, DESC jobs in Heart's Content, Newfoundland and Labrador, Canada
About Vellum Information
Vellum Information is a research and development platform focused around information visualization, web and data mining and analysis, healthcare and global health technology and data utilization.
We have a firm foot in open-source technology and public datasets, and believe that the best solutions are found in the root. It is our job to unearth these depths and make your answers accessible.
Computer science is really an art. They do not teach that in school, but the truth of it is that computers have a common language, and there are infinite dialects of it spoken around the world.
Current projects include:
Heath information technology and public health matters (and how the two meet).
Information visualization and beautiful data. This is a mantra for 2011: Make it simple, make it beautiful. Data can and should be straighforward and appealing. The era of static tables and charts is past.
Database development, web and application deployment and design - expert system design, case-based reasoning systems, knowledge management, and AI applications.
A keen interest in the Cloud and how it can be utilized to deploy an application across endless instances, which ties firmly into the rest of our projects.
Data/web mining and analysis, text mining, and content analysis. Semantic content and ontology creation.
Publishing several reports, as well as working on some academic presentations and publications. Look for us on Amazon and Google Books.