The Experts below are selected from a list of 139278 Experts worldwide ranked by ideXlab platform
Bengisu Tulu - One of the best experts on this subject based on the ideXlab platform.
-
analysis visualization of ehr patient portal clickstream data
Americas Conference on Information Systems, 2015Co-Authors: Lawrence Garber, Sharon A Johnson, Farhan Mushtaq, Diane M Strong, John Trudel, Bengisu TuluAbstract:The purpose of this paper is the analysis of EHR clickstream data for patient portal to determine patient usage behavior by analyzing patterns found in the data. Clickstream data retains vital Information trail of patient’s usage. Utilizing directed and undirected data mining techniques for data exploration and then visualizing specific patterns Provide Valuable Information about how a patient utilizes these services. The Information can help service Providers to understand the demographics and behavioral aspects of the patients to develop, enhance and improve their systems to make the best use for these portals.
-
analysis visualization of ehr patient portal clickstream data full paper
2015Co-Authors: Farhan Mushtaq, Sharon A Johnson, Diane M Strong, John Trudel, Bengisu Tulu, Lawrence GarberAbstract:The purpose of this paper is the analysis of EHR clickstream data for patient portal to determine patient usage behavior by analyzing patterns found in the data. Clickstream data retains vital Information trail of patient’s usage. Utilizing directed and undirected data mining techniques for data exploration and then visualizing specific patterns Provide Valuable Information about how a patient utilizes these services. The Information can help service Providers to understand the demographics and behavioral aspects of the patients to develop, enhance and improve their systems to make the best use for these portals.
Lawrence Garber - One of the best experts on this subject based on the ideXlab platform.
-
analysis visualization of ehr patient portal clickstream data
Americas Conference on Information Systems, 2015Co-Authors: Lawrence Garber, Sharon A Johnson, Farhan Mushtaq, Diane M Strong, John Trudel, Bengisu TuluAbstract:The purpose of this paper is the analysis of EHR clickstream data for patient portal to determine patient usage behavior by analyzing patterns found in the data. Clickstream data retains vital Information trail of patient’s usage. Utilizing directed and undirected data mining techniques for data exploration and then visualizing specific patterns Provide Valuable Information about how a patient utilizes these services. The Information can help service Providers to understand the demographics and behavioral aspects of the patients to develop, enhance and improve their systems to make the best use for these portals.
-
analysis visualization of ehr patient portal clickstream data full paper
2015Co-Authors: Farhan Mushtaq, Sharon A Johnson, Diane M Strong, John Trudel, Bengisu Tulu, Lawrence GarberAbstract:The purpose of this paper is the analysis of EHR clickstream data for patient portal to determine patient usage behavior by analyzing patterns found in the data. Clickstream data retains vital Information trail of patient’s usage. Utilizing directed and undirected data mining techniques for data exploration and then visualizing specific patterns Provide Valuable Information about how a patient utilizes these services. The Information can help service Providers to understand the demographics and behavioral aspects of the patients to develop, enhance and improve their systems to make the best use for these portals.
Mccarthy, James S. - One of the best experts on this subject based on the ideXlab platform.
-
Safety considerations for malaria volunteer infection studies: a mini-review
'American Society of Tropical Medicine and Hygiene', 2020Co-Authors: Odedra Anand, Mccarthy, James S.Abstract:Malaria clinical studies entailing the experimental infection of healthy volunteers with Plasmodium parasites by bites from infected mosquitos, injection of cryopreserved sporozoites, or injection of blood-stage parasites Provide Valuable Information for vaccine and drug development. Success of these studies depends on maintaining safety. In this mini-review, we discuss the safety risks and associated mitigation strategies of these three types of experimental malaria infection. We aimed to inform researchers and regulators who are currently involved in or are planning to establish experimental malaria infection studies in endemic or non-endemic settings
-
Safety Considerations for Malaria Volunteer Infection Studies: A Mini-Review
'American Society of Tropical Medicine and Hygiene', 2020Co-Authors: Odedra Anand, Mccarthy, James S.Abstract:Malaria clinical studies entailing the experimental infection of healthy volunteers with Plasmodium parasites by bites from infected mosquitos, injection of cryopreserved sporozoites, or injection of blood stage parasites Provide Valuable Information for vaccine and drug development. Success of these studies depends on maintaining safety. In this mini-review, we discuss the safety risks and associated mitigation strategies of these three types of experimental malaria infection. We aim to inform researchers and regulators who are currently involved in or are planning to establish experimental malaria infection studies in endemic or non-endemic settings
Farhan Mushtaq - One of the best experts on this subject based on the ideXlab platform.
-
analysis visualization of ehr patient portal clickstream data
Americas Conference on Information Systems, 2015Co-Authors: Lawrence Garber, Sharon A Johnson, Farhan Mushtaq, Diane M Strong, John Trudel, Bengisu TuluAbstract:The purpose of this paper is the analysis of EHR clickstream data for patient portal to determine patient usage behavior by analyzing patterns found in the data. Clickstream data retains vital Information trail of patient’s usage. Utilizing directed and undirected data mining techniques for data exploration and then visualizing specific patterns Provide Valuable Information about how a patient utilizes these services. The Information can help service Providers to understand the demographics and behavioral aspects of the patients to develop, enhance and improve their systems to make the best use for these portals.
-
analysis visualization of ehr patient portal clickstream data full paper
2015Co-Authors: Farhan Mushtaq, Sharon A Johnson, Diane M Strong, John Trudel, Bengisu Tulu, Lawrence GarberAbstract:The purpose of this paper is the analysis of EHR clickstream data for patient portal to determine patient usage behavior by analyzing patterns found in the data. Clickstream data retains vital Information trail of patient’s usage. Utilizing directed and undirected data mining techniques for data exploration and then visualizing specific patterns Provide Valuable Information about how a patient utilizes these services. The Information can help service Providers to understand the demographics and behavioral aspects of the patients to develop, enhance and improve their systems to make the best use for these portals.
Sharon A Johnson - One of the best experts on this subject based on the ideXlab platform.
-
analysis visualization of ehr patient portal clickstream data
Americas Conference on Information Systems, 2015Co-Authors: Lawrence Garber, Sharon A Johnson, Farhan Mushtaq, Diane M Strong, John Trudel, Bengisu TuluAbstract:The purpose of this paper is the analysis of EHR clickstream data for patient portal to determine patient usage behavior by analyzing patterns found in the data. Clickstream data retains vital Information trail of patient’s usage. Utilizing directed and undirected data mining techniques for data exploration and then visualizing specific patterns Provide Valuable Information about how a patient utilizes these services. The Information can help service Providers to understand the demographics and behavioral aspects of the patients to develop, enhance and improve their systems to make the best use for these portals.
-
analysis visualization of ehr patient portal clickstream data full paper
2015Co-Authors: Farhan Mushtaq, Sharon A Johnson, Diane M Strong, John Trudel, Bengisu Tulu, Lawrence GarberAbstract:The purpose of this paper is the analysis of EHR clickstream data for patient portal to determine patient usage behavior by analyzing patterns found in the data. Clickstream data retains vital Information trail of patient’s usage. Utilizing directed and undirected data mining techniques for data exploration and then visualizing specific patterns Provide Valuable Information about how a patient utilizes these services. The Information can help service Providers to understand the demographics and behavioral aspects of the patients to develop, enhance and improve their systems to make the best use for these portals.
