Difference between revisions of "A Review of Emerging Technologies for the Management of Diabetes Mellitus"

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== Results ==  
 
== Results ==  
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* Sensoring technology is evolving from a traditional invasive procedure towards a non-invasive procedure. Although, this shift is taking place the reliability of such test conducted under non-invasive methods aren't as accurate as those in traditional invasive procedures thus total support can't be given to them, however their evolution is a fact and we are not far from experiencing such technologies.
  
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* CDSS turns out to be the giant whose setting the path for the rest of this technologies. Backed-up with evidence-based medicine and support from a portion of the medical community, this tool can indeed increase the rate of un-diagnosed patients at risk of developing DM by physicians thus it is a must to maintain and optimize this technology so that its reliability and acceptance isn't lost by the medical community since its adoption is currently undergoing and hasn't ended to establish it as a permanent tool around the clinical setting.
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* In regards to the use of molecular data, it is an new technology with solid scientific information used for the unveiling of correlations and patterns observed in the development of DM. 
  
 
== Conclusion ==
 
== Conclusion ==

Revision as of 06:16, 5 November 2015

The following is a review of Zarkogianni et al. 2015 review regarding the emerging technologies used for the management of Diabetes Mellitus: [1]

Introduction/Background

Due to the rise in cost of health care delivery across the United States in patients suffering from chronic diseases, there has been an increasing trend towards the prevention of such diseases since each day the number of patients which can afford a treatment for their disease constantly increases. Zarkogianni et al. 2015, explore the utilization of these new technologies as means to prevent the pitfalls of treatments in the population by using the latest sensoring technologies and CDS in order to facilitate self-managing in patients and support decision making in physicians.

Methods

The review evaluated the following technologies:

  • Sensors for Glucose and lifestyle monitoring
  • Clinical Decision Support Systems (CDSS) for diabetes management
  • Predictive modeling using molecular data to assess the onset or progression of DM (Diabetes Mellitus)

Results

  • Sensoring technology is evolving from a traditional invasive procedure towards a non-invasive procedure. Although, this shift is taking place the reliability of such test conducted under non-invasive methods aren't as accurate as those in traditional invasive procedures thus total support can't be given to them, however their evolution is a fact and we are not far from experiencing such technologies.
  • CDSS turns out to be the giant whose setting the path for the rest of this technologies. Backed-up with evidence-based medicine and support from a portion of the medical community, this tool can indeed increase the rate of un-diagnosed patients at risk of developing DM by physicians thus it is a must to maintain and optimize this technology so that its reliability and acceptance isn't lost by the medical community since its adoption is currently undergoing and hasn't ended to establish it as a permanent tool around the clinical setting.
  • In regards to the use of molecular data, it is an new technology with solid scientific information used for the unveiling of correlations and patterns observed in the development of DM.

Conclusion

Comments

References

  1. Zarkogianni, K., Litsa, E., Mitsis, K., Wu, P., Kaddi, C., Cheng, C., ... & Nikita, K. (2015). A Review of Emerging Technologies for the Management of Diabetes Mellitus. http://www.ncbi.nlm.nih.gov/pubmed/26292334