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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