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The Diabetic Nurse
Specialist in 2030
Grace DeMore
Introduction
• Nurse Chris , APN, Diabetic Clinical Specialist
• Employed by Endocrinology Entrepreneurs of NJ (EENJ)
• Contracted with all NJ hospitals
• Estimated 10 million diabetics in NJ
• NJ diabetic program, follows President Sara Palins’ “Healthy America 2050”
• Case load of 70 patients
About Endocrinology Entrepreneurs of NJ
• Advanced technology
• Use of Smart Tablet
• Database using smartphone,
• smartwatch
•
Patient Categories
• Category 1 ------were type 1 diabetics
• Category 2--------were type 2 diabetics
• Category 3---------components of 1 and 2 with severely elevated cholesterol
,triglycerides and creatinine
Patients age and compliance
• Young adults 20-40
• Teens
• Children
• Feel diabetes interferes with lifestyle
• Noncompliance exacerbates the disease
Analyzing Data
• Wireless linkage of data
• Database generates data from smartphone, watch,
• Insulin pumps send data to smart device
2030 Technology
• 366 Million diabetics worldwide
• US leader in developing new
technology
• National one payer health plan
(AmericaUnitedCare)
• Funding sources : provide research
funds-
• Mitt Romney Foundation
• Bill and Melinda Gates
2030 Innovations
• Near Field Technology(NFC) for glucometers and insulin pumps
• Glucometer fits on watchband or bracelet
Micro insulin pump
• Size of a postage stamp-
Glucose nanosensor
• Glucose nanosensor applied like a tattoo- subcutaneous application, for use
with artificial pancreas
Artificial pancreas
Beta cells implanted in the pump
Oral Insulin Therapy
• Oral administration needs a prodrug to bypass stomach acid
• PEGylation
Conventional Therapy
• Oral hypoglycemic
• Basal injection
Lifestyle modification
• Diet
• Exercise
• Medication compliance
• Maintain a healthy lifestyle
Database Expectations
• Wireless transfer of data vis smart device to EENJ via cloud
• Ability to instantly access data on any patient with voice command or
keystroke
• Smart database can mine data, produce reports and metrics
Knowledge management
• The ability to capture , evaluate, distribute and use data
• Keep up with and use real time data to manage knowledge
• Database frameworks will be used in capturing data for further use
• Data collected will be used to make changes and trends in disease
management
References
• Freeman, J. (2010). The Increasing Epidemiology of diabetes and Review of Current Treatment Algorithms.
Journal of American Osteopathic Association, 110(7, suppl 7). Retrieved from
http://www.jaoa.osteopthic.org/content/110/7_suppl_7/eS2.full
• Hanlon, M. (2006). Close-proximity wireless technology set to improve the management of diabetes. Retrieved from
gizmag.com: http://www.gizmag.com/go/6057/
• Kainu, T., & Wallenstein, J. (2013). The Biomarker Revolution in Diabetes Treatment. Retrieved from
bcgperspectives.com:
https://www.bcgperspectives.com/content/articles/biopharma_innovation_biomarker_revolution_diabetes
_treat
• Rahlman, S., & Tantry, B. (2012). Nanomedicine Current Trends in Diabetes Management. Journal of
Nanomedicine and Nanotechnology, 3(5). Retrieved from http://dx.doi.org/10.4172/2157-7439.1000137
•
•

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The diabetic nurse specialist in 2030

  • 1. The Diabetic Nurse Specialist in 2030 Grace DeMore
  • 2. Introduction • Nurse Chris , APN, Diabetic Clinical Specialist • Employed by Endocrinology Entrepreneurs of NJ (EENJ) • Contracted with all NJ hospitals • Estimated 10 million diabetics in NJ • NJ diabetic program, follows President Sara Palins’ “Healthy America 2050” • Case load of 70 patients
  • 3. About Endocrinology Entrepreneurs of NJ • Advanced technology • Use of Smart Tablet • Database using smartphone, • smartwatch •
  • 4. Patient Categories • Category 1 ------were type 1 diabetics • Category 2--------were type 2 diabetics • Category 3---------components of 1 and 2 with severely elevated cholesterol ,triglycerides and creatinine
  • 5. Patients age and compliance • Young adults 20-40 • Teens • Children • Feel diabetes interferes with lifestyle • Noncompliance exacerbates the disease
  • 6. Analyzing Data • Wireless linkage of data • Database generates data from smartphone, watch, • Insulin pumps send data to smart device
  • 7. 2030 Technology • 366 Million diabetics worldwide • US leader in developing new technology • National one payer health plan (AmericaUnitedCare) • Funding sources : provide research funds- • Mitt Romney Foundation • Bill and Melinda Gates
  • 8. 2030 Innovations • Near Field Technology(NFC) for glucometers and insulin pumps • Glucometer fits on watchband or bracelet
  • 9. Micro insulin pump • Size of a postage stamp-
  • 10. Glucose nanosensor • Glucose nanosensor applied like a tattoo- subcutaneous application, for use with artificial pancreas
  • 11. Artificial pancreas Beta cells implanted in the pump
  • 12. Oral Insulin Therapy • Oral administration needs a prodrug to bypass stomach acid • PEGylation
  • 13. Conventional Therapy • Oral hypoglycemic • Basal injection
  • 14. Lifestyle modification • Diet • Exercise • Medication compliance • Maintain a healthy lifestyle
  • 15. Database Expectations • Wireless transfer of data vis smart device to EENJ via cloud • Ability to instantly access data on any patient with voice command or keystroke • Smart database can mine data, produce reports and metrics
  • 16. Knowledge management • The ability to capture , evaluate, distribute and use data • Keep up with and use real time data to manage knowledge • Database frameworks will be used in capturing data for further use • Data collected will be used to make changes and trends in disease management
  • 17. References • Freeman, J. (2010). The Increasing Epidemiology of diabetes and Review of Current Treatment Algorithms. Journal of American Osteopathic Association, 110(7, suppl 7). Retrieved from http://www.jaoa.osteopthic.org/content/110/7_suppl_7/eS2.full • Hanlon, M. (2006). Close-proximity wireless technology set to improve the management of diabetes. Retrieved from gizmag.com: http://www.gizmag.com/go/6057/ • Kainu, T., & Wallenstein, J. (2013). The Biomarker Revolution in Diabetes Treatment. Retrieved from bcgperspectives.com: https://www.bcgperspectives.com/content/articles/biopharma_innovation_biomarker_revolution_diabetes _treat • Rahlman, S., & Tantry, B. (2012). Nanomedicine Current Trends in Diabetes Management. Journal of Nanomedicine and Nanotechnology, 3(5). Retrieved from http://dx.doi.org/10.4172/2157-7439.1000137 • •