M
Molly Guy
Researcher at Medtronic plc
Publications - 4
Citations - 12
Molly Guy is an academic researcher from Medtronic plc. The author has contributed to research in topics: Remote patient monitoring & Patient education. The author has an hindex of 2, co-authored 4 publications receiving 6 citations.
Papers
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Journal ArticleDOI
Improved blood pressure control via a novel chronic disease management model of care in sub-Saharan Africa: Real-world program implementation results.
Harun Otieno,Charles Miezah,Gerald Yonga,Fred Kueffer,Molly Guy,Chemuttaai Lang’at,Douglas A. Hettrick,Roland E. Schmieder +7 more
TL;DR: A new chronic disease management model of care in Ghana and Kenya improved and sustained blood pressure control to 12 months, especially in those with elevated blood pressure at enrollment, as well as the proportion of patients with controlled pressure increased.
Journal ArticleDOI
Novel Hypertension Management Model of Care Improves Blood Pressure Control in a West African Population
Isaac Kofi Owusu,Fred Adomako-Boateng,Fred Kueffer,Molly Guy,Chemuttaai Lang at,Daniel Grossman,Teri Whitman,Keith Holloman,Douglas A. Hettrick,Ohene Opare-Sem +9 more
TL;DR: This research aims to demonstrate the efforts towards in-situ applicability of EMMARM, as to provide real-time information about central nervous system injuries and the importance of EMT in the management of these injuries.
Journal ArticleDOI
Response to: Cavagna et al The importance of considering cultural and environmental elements in an interventional model of care to fight hypertension in Africa.
Harun Otieno,Charles Miezah,Gerald Yonga,Fred Kueffer,Molly Guy,Chemuttaai Lang’at,Douglas A. Hettrick,Roland E. Schmieder +7 more
Patent
Remote patient monitoring system
Emily Fogelberg,Brian L. Bechard,Jennifer A. Alwine,Keith Holloman,Nirav V. Sheth,Teresa A. Whitman,Jennifer M. Ramseth,Chemuttaai Lang’at,Christina Chow,Daniel M. Gelfman,Molly Guy,Daniel Grossman,Jote Taddese +12 more
TL;DR: In this article, a patient-centric threshold is computed based on relevant environmental, cultural, societal, religion, and economic data for evaluation of acquired physiological parameters, and a risk stratification is performed to determine the risk level of the patient based on the patientcentric threshold.