Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Ranganath Vadapalli"'
Publikováno v:
Indian Journal of Ophthalmology, Vol 68, Iss 3, Pp 427-432 (2020)
Purpose: To assess the demographic details and distribution of ocular disorders in patients presenting to a three-tier eye care network in India using electronic medical record (EMR) systems across an 8-year period using big data analytics. Methods:
Externí odkaz:
https://doaj.org/article/f625c59e888041a1a8a2a782234de1f5
Autor:
Gumpili Sai Prashanthi, Nareen Molugu, Priyanka Kammari, Ranganath Vadapalli, Anthony Vipin Das
Publikováno v:
Healthcare, Vol 9, Iss 6, p 749 (2021)
India is home to 1.3 billion people. The geography and the magnitude of the population present unique challenges in the delivery of healthcare services. The implementation of electronic health records and tools for conducting predictive modeling enab
Externí odkaz:
https://doaj.org/article/250fe535c9f04f5cbce7fa1cf8c0f0d0
Autor:
Nareen Molugu, Priyanka Kammari, Ranganath Vadapalli, Gumpili Sai Prashanthi, Anthony Vipin Das
Publikováno v:
Healthcare
Volume 9
Issue 6
Healthcare, Vol 9, Iss 749, p 749 (2021)
Volume 9
Issue 6
Healthcare, Vol 9, Iss 749, p 749 (2021)
India is home to 1.3 billion people. The geography and the magnitude of the population present unique challenges in the delivery of healthcare services. The implementation of electronic health records and tools for conducting predictive modeling enab
Publikováno v:
JMIR Formative Research, Vol 4, Iss 12, p e24490 (2020)
JMIR Formative Research
JMIR Formative Research
Background One of the major challenges in the health care sector is that approximately 80% of generated data remains unstructured and unused. Since it is difficult to handle unstructured data from electronic medical record systems, it tends to be neg
BACKGROUND One of the major challenges in the health care sector is that approximately 80% of generated data remains unstructured and unused. Since it is difficult to handle unstructured data from electronic medical record systems, it tends to be neg
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0d32fdf8fbed37e643d53d7d16c60ece
https://doi.org/10.2196/preprints.24490
https://doi.org/10.2196/preprints.24490
Autor:
Mukesh Taneja, Anthony Vipin Das, Mahesh Chandra Ambadker, Shyam Sunder Reddy Bhaskey, Navya Deepthi, Shravani M, Abhinav Loomba, Sapthagiri Maduri, Ranganath Vadapalli, Priyanka Kammari
Publikováno v:
Rural and Remote Health.
INTRODUCTION This article describes the implementation of a novel technology tool to capture demographic distribution and clinical presentation of patients in rural vision centers using the eyeSmart electronic medical record (EMR) app in a three-tier