Data sources
There are three data sources that the Defence Health Information and Technology System (DHITS) rely on. They are:
Electronic surveillance system
Keeping surveillance on infectious diseases is highly recommended since it keeps on high alert the biologists to find a cure to be well prepared for them to intervene before it is too late. This allows for faster eradication of the agents responsible for the outbreaks hence efficient infection control management, (Krause, Altman, Faensen, Porten, Bensler Pfoch, Ammon, Kramer and Claus, 2007). The decision-making in the infection and control programme is highly influenced since a lot of time is spent on analysis and surveillance to avoid wrong assessment of information and conclusions (Grota, Stone, Jordan, Pogorzelska, and Larson, 2010)
There is a continuous decrease in the time spent for data collection since more innovations have created faster and easier data collection methods (Grota, Stone, Jordan, Pogorzelska, and Larson, 2010). To enhance better data quality, the web-based system that uses basic health information on every one should well encoded to avoid interruption of data, which might lead to wrong conclusions.
Electronic medical records
Electronic medical records lay at most computerized clinical facility to improve the health information system. Without them modern technologies that fully depend on computerized systems can affect the normal workflow in those medical facilities (Levy, 2004). Training of technical support staff may be necessary to accomplish our future oriented goals (Donelan, Rao & Ferris, et al, 2009)
Drug safety-monitoring system
Drug abuse has been rated to be the highest growing nation’s problem since most of the youths have succumbed to this hence the moral structure of the society have been destroyed. The hospitals and medical corporations have come up with a strategy whereby most of the drugs being imported are monitored and labeled first even before distribution (Isaacson, Fleming Kraus, Kahn & Mundt, 2000).
Are organizations prepared for the loss of baby boomers?
Baby boomers are the people who are a rich source of knowledge and usually can help the society very much if they were to share their knowledge among their fellow worker. Organisations are not well prepared for the loss of the baby boomers. A good working relationship between the old and the youths is of essence since there will be transfer of experience which will enable the younger generation to continue with the legacy in future times.
The greater the mix of generations between the workers, the more information transfer occurs. Most of the younger employees tend to disagree with each and every rule that they are given by their superiors hence there will be very little development in that particular organisation. Lindenberger and Stolts-Loike, (2012) explain that after a significant number of employees are laid off due to the old age factor, the organization will have a very rough time in carrying out their normal activities which led to their fall.
Organisations should reward them accordingly so that they are more willing to share most of their information (Lindenberger and Stolts-Loike, 2012). In our department, most of them are normally awarded family trips and more of presents hence, if they were to be early retired most of our information would go with them.
Definition of Data, Information, and Knowledge
Data is any form of input, which according to Bellinger, Castro and mills (ND), is something that holds no meaning within the context of its own existence. It may or may not be utilized in a certain task. On the other hand information is any form of useful data. However, it may not be useful as Bellinger and friends decipher. Finally, knowledge is defined as the proper use of the information collected and in any case, its use should have been accurately and precisely planned for in advance Bellinger, Castro and mills (ND). By observation, one of my group members was able to visualize on a particular version of a soft ware containing the electronic records, was able to reconstruct it, and made it accessible to all of my colleagues. Some of us used gadgets such as cameras, video recorders, to store data and information in the lab.
How to manage data resources for the team projects
The data should first be defined to know whether it is of use and its impacts. This is done by developing a list of the different sets of data that you expect to collect in the course of your project, which allows prompt planning, and analyzing of data. Nemiro, Beyerlein, Bradley, and Beyerlein, (2008), indicate that teams normally have several challenges including that of time distance, technology culture, trust and leadership. It was very difficult to earn the trust of the people who we were to interview and my fellow teammates, which made collecting data very difficult. For each data set, a person that will be responsible for collecting the required information and the form it will be in which can be done through a written document. Then after collecting the data, it should be well documented for future analysis.
How could your Learning Team better manage the shared knowledge on your team?
As Brake (2008) indicates, the Six Cs of Global Collaboration include; Cooperation, Convergence, Coordination, Capability, Communication and Cultural Intelligence. They help the team leaders throughout the project hence will always apply when it comes to efficiently manage the data better which will help increase the status of our work. Raw data need to be well stored and not tampered with to enhance better conclusive evidence and results pertaining to that particular project. Data analysis should be gradual and only small amounts of data should be processed daily to ensure a fluent and flawless outcome. The best step in managing data is by reviewing the former planning of your colleagues to improve on the areas that they went wrong.
What strategies or resources would help facilitate Learning Team knowledge management?
The strategies should be well put into play where by all the incentives should be oriented towards producing best results after analyzing all the data. McNurlin, Sprague, and Bui, (2009) highlight that there should always be a proper planning of the resources to be used during the planning process to ensure that all the information captured is processed accordingly. A lot of data cleanup is required so as for one to detect any errors. Backing up of data is the best thing that a person will ever do since incase a problem arises with the equipment that you might be using you can be ale to retrieve the information but if you forget on backing it up, that little mistake can cost you your research.
References
Bellinger, G, Castro, D, and Mills, A. (ND). Data, Information, Knowledge, and Wisdom. Web.
Brake, T. (2008). Where in the world is my team? Making a success of your virtual global workplace. San Francisco, CA: Jossey-Bass.
Donelan, K, Rao, S.R, Ferris, T.G, et al. (2009). Use of electronic health records in U.S. hospitals. N Engl J Med 360(16):1628-1638.
Grota, P. G., Stone, P. W., RN, Jordan S, Pogorzelska, M, and Larson, E (2010). Electronic surveillance systems in infection prevention: Organizational support, program characteristics, and user satisfaction. American Journal of Infection Control.38 (7)509-514.
Isaacson, J. H, Fleming M, Kraus, M, Kahn R, Mundt, M. (2000) A National Survey of Training in Substance Use Disorders in Residency Programs. J Stud Alcohol. 61(6):912-915.
Krause, G, Altmann, D, Faensen, D, Porten K, Benzle, J, Pfoch, T, Ammon, A, Kramer, M, and Claus, H. (2007). Electronic Surveillance System for Infectious Disease Outbreaks. Germany: Robert kotch institute.
Levy, B. (2004) Evolving to clinical terminology. J Healthc Inf Manag. 18(3):37-43. 2000.
Lindenberger, J, and Stoltz-Loike, M. (2012). Mentoring and Baby Boomers More Guidelines for Successful Mentoring. Web.
McNurlin, B. C., Sprague, R. H., Jr., & Bui, T. (2009). Information systems management in practice (8th Ed.). Upper Saddle River, NJ: Prentice Hall.
Nemiro, J., Beyerlein, M., Bradley, L., & Beyerlein, S. (Eds.). (2008). The handbook of high-performance virtual teams: A toolkit for collaborating across boundaries. San Francisco, CA: Jossey-Bass.