a one c lifebox

Our digital healthcare engagement system assists hospitals drive healthier type 2 diabetes outcomes at lower costs with our clinically driven, evidence based and culturally sensitive diabetes platform

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Check out a one c lifebox on @MedStartr Today Our digital healthcare engagement system assists hospitals drive healthier type 2 diabetes outcomes at lower costs with our clinically driven, evidence based and culturally sensitive diabetes platform. #MedMo #MedStartrVentures

https://www.medstartr.ai/s/ejrthsFcFgw

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Clinical Validation

The future of using digital tools to fight diabetes is bright  -  https://clindiabetesendo.biomedcentral.com/articles/10.1186/s40842-015-0016-2 Low cost mhealth digital toolds are effective in disproportionally affected demographics - http://care.diabetesjournals.org/content/early/2017/05/31/dc17-0230 Successful results of different studies showing that culturally tailored interventions can improve risk factors, slow the progession and - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5408505/ That religious beliefs plays a large part in medical adherence and that incorporating these belief systems into a diabetes curriculum can lead to behavioral change, in this case for African Americans - http://journals.sagepub.com/doi/abs/10.1177/0145721717725280 Eventhough people suffering form T2D may need more than one medication to assist, at least initially, with glycemic control, insulin is not always included in treatment regimen due to cultural barriers HCPs face  -  http://spectrum.diabetesjournals.org/content/diaspect/29/3/185.full.pdf Black men reporting external challenges and barriers to healthy eating.  This shows the need for our education curriculum and diabetes coaching and nutritional support in this demographic - http://journals.sagepub.com/doi/abs/10.1177/0145721716640904 Overall effectiveness of culturally tailored teaching methodologies  -http://journals.sagepub.com/doi/abs/10.1177/1090198102251021

MedStartr Engagement Score

The MedStartr Index is a reflection of how the crowds that come to MedStartr everyday to find healthcare innovations reacted. Calculated by our AI agent Fyggy based on algorithms we have been building since 2012 and over 100 different factors, the math is proprietary and complex. Suffice to say, it has been found to be highly correlative with early stage company growth. What you see here is the public version. To learn more or to get deeper access to our predictive data on startup success for your fund or company, click here.

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