the diabetic nurse specialist in 2030
TRANSCRIPT
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The Diabetic Nurse
Specialist in 2030
Grace DeMore
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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
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About Endocrinology Entrepreneurs of NJ
• Advanced technology
• Use of Smart Tablet
• Database using smartphone,
• smartwatch
•
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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
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Patients age and compliance
• Young adults 20-40
• Teens
• Children
• Feel diabetes interferes with lifestyle
• Noncompliance exacerbates the disease
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Analyzing Data
• Wireless linkage of data
• Database generates data from smartphone, watch,
• Insulin pumps send data to smart device
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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
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2030 Innovations
• Near Field Technology(NFC) for glucometers and insulin pumps
• Glucometer fits on watchband or bracelet
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Micro insulin pump
• Size of a postage stamp-
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Glucose nanosensor
• Glucose nanosensor applied like a tattoo- subcutaneous application, for use
with artificial pancreas
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Artificial pancreas
Beta cells implanted in the pump
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Oral Insulin Therapy
• Oral administration needs a prodrug to bypass stomach acid
• PEGylation
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Conventional Therapy
• Oral hypoglycemic
• Basal injection
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Lifestyle modification
• Diet
• Exercise
• Medication compliance
• Maintain a healthy lifestyle
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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
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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
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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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