Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Jennifer Felsted"'
Autor:
Sara Bersche Golas, Takuma Shibahara, Stephen Agboola, Hiroko Otaki, Jumpei Sato, Tatsuya Nakae, Toru Hisamitsu, Go Kojima, Jennifer Felsted, Sujay Kakarmath, Joseph Kvedar, Kamal Jethwani
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 18, Iss 1, Pp 1-17 (2018)
Abstract Background Heart failure is one of the leading causes of hospitalization in the United States. Advances in big data solutions allow for storage, management, and mining of large volumes of structured and semi-structured data, such as complex
Externí odkaz:
https://doaj.org/article/e61ab19542af4605a2b0fb04e53509c9
Publikováno v:
Nature Metabolism. 4:627-643
Brain-derived neurotrophic factor (BDNF) is essential for maintaining energy and glucose balance within the central nervous system. Because the study of its metabolic actions has been limited to effects in neuronal cells, its role in other cell types
Publikováno v:
Endocrinology
The thrombospondin receptor alpha2delta-1 (α2δ-1) plays essential roles promoting the activity of SF1 neurons in the ventromedial hypothalamus (VMH) and mediating glucose and lipid metabolism in male mice. Its role in the VMH of female mice remains
Autor:
Ramya Sita Palacholla, Nils Fischer, Amanda Coleman, Stephen Agboola, Katherine Kirley, Jennifer Felsted, Chelsea Katz, Stacy Lloyd, Kamal Jethwani
BACKGROUND The uptake of digital health technology (DHT) has been surprisingly low in clinical practice. Despite showing great promise to improve patient outcomes and disease management, there is limited information on the factors that contribute to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::95e6a6be21717a8bc8ef1378b8afc655
https://doi.org/10.2196/preprints.11951
https://doi.org/10.2196/preprints.11951
Autor:
Sujay S Kakarmath, Neda Derakhshani, Sara B. Golas, Jennifer Felsted, Takuma Shibahara, Hideo Aoki, Mika Takata, Ken Naono, Joseph Kvedar, Kamal Jethwani, Stephen Agboola
BACKGROUND Heart failure (HF) patients have a high readmission rate with approximately 20% of patients being readmitted within 30-days after discharge. Hospital interventions to reduce HF readmissions are resource- and effort-intensive. Widespread av
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::24358d1fcbae77f7e8653016832ff331
https://doi.org/10.2196/preprints.11897
https://doi.org/10.2196/preprints.11897
Autor:
Simone Orlowski, Sunetra Bane, Jaclyn Hirschey, Sujay Kakarmath, Jennifer Felsted, Julie Brown, Stephen Agboola, Kamal Jethwani
BACKGROUND Despite widespread adoption and demonstrated value in a range of industries, machine learning predictive algorithms are yet to be routinely used in frontline medical care. Significant health system and industry-based resources are allocate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b73556e7891207aff2a1289b3d7c39a8
https://doi.org/10.2196/preprints.11895
https://doi.org/10.2196/preprints.11895
Autor:
Ramya Palacholla, Nils Fischer, Amanda Coleman, Stephen Agboola, Jennifer Felsted, Kate Kirley, Chelsea Katz, Stacy Lloyd, Kamal Jethwani
BACKGROUND Management of hypertension employing digital health technologies (DHT) has been proven to improve long-term patient outcomes. However, the uptake of DHT has been surprisingly low in clinical practice. Despite showing great promise to impro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a46ac459297d99add1f9cb81233eec90
https://doi.org/10.2196/preprints.11904
https://doi.org/10.2196/preprints.11904
Autor:
Mariana Simons, Sara Golas, Stephen Agboola, Jorn op den Buijs, Jennifer Felsted, Nils Fischer, Allison Orenstein
BACKGROUND Many health care organizations use value-based care strategies that include population health management programs and data analytics to stratify their population and identify high-risk and high-cost patients. Most of these programs target
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e36973ed2c71b6ea434f0390b5d96d6f
https://doi.org/10.2196/preprints.11731
https://doi.org/10.2196/preprints.11731
Autor:
Stephen Agboola, Mariana Simons, Sara Golas, Jorn op den Buijs, Jennifer Felsted, Nils Fischer, Linda Schertzer, Allison Orenstein, Kamal Jethwani, Joseph Kvedar
BACKGROUND Half of Medicare reimbursement goes toward caring for the top 5% of the most expensive patients. However, little is known about these patients prior to reaching the top or how their costs change annually. To address these gaps, we analyzed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bd3b57268cfdfec9a00aea754361d68f
https://doi.org/10.2196/preprints.10254
https://doi.org/10.2196/preprints.10254
Autor:
Jorn op den Buijs, Mariana Simons, Sara Golas, Nils Fischer, Jennifer Felsted, Linda Schertzer, Stephen Agboola, Joseph Kvedar, Kamal Jethwani
BACKGROUND Telehealth programs have been successful in reducing 30-day readmissions and emergency department visits. However, such programs often focus on the costliest patients with multiple morbidities and last for only 30 to 60 days postdischarge.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b3f419cc0689067290f404f395c82384
https://doi.org/10.2196/preprints.9907
https://doi.org/10.2196/preprints.9907