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Articles 1 - 6 of 6
Full-Text Articles in Business Administration, Management, and Operations
Extending The Technology Acceptance Model In Healthcare: Identifying The Role Of Trust And Shared Information, Sabrina Terrizzi, Susan Sherer, Chad Meyerhoefer, Michael Scheinberg, Donald Levick
Extending The Technology Acceptance Model In Healthcare: Identifying The Role Of Trust And Shared Information, Sabrina Terrizzi, Susan Sherer, Chad Meyerhoefer, Michael Scheinberg, Donald Levick
Donald Levick MD
We propose extensions to the Technology Acceptance Model for the adoption of integrated electronic health records that are shared by multiple health care providers. In particular, we propose a conceptual model in which we incorporate two new factors, trust and access to shared information, into the Technology Acceptance Model. Preliminary results confirm the statistically significant and positive impact of perceived usefulness on behavioral intent to use integrated electronic health records and a significant and positive impact of perceived ease of use on perceived usefulness. We also find a statistically significant effect of shared information on behavioral intent to use integrated …
Differential Diagnosis Generators: An Evaluation Of Currently Available Computer Programs, William Bond Md, Ms, Linda M. Schwartz Mde, Ahip, Cm, Kevin Weaver Do, Donald Levick Md, Michael Guliano Md, Med, Mhpe, Mark L. Graber
Differential Diagnosis Generators: An Evaluation Of Currently Available Computer Programs, William Bond Md, Ms, Linda M. Schwartz Mde, Ahip, Cm, Kevin Weaver Do, Donald Levick Md, Michael Guliano Md, Med, Mhpe, Mark L. Graber
Donald Levick MD, MBA, CPHIMS
No abstract provided.
Reducing Unnecessary Testing In A Cpoe System Through Implementation Of A Targeted Cds Intervention, Donald Levick Md, Glenn Stern, Chad D. Meyerhoefer, Aaron Levick, David Pucklavage Rn, Bsn, Cpm, Sme
Reducing Unnecessary Testing In A Cpoe System Through Implementation Of A Targeted Cds Intervention, Donald Levick Md, Glenn Stern, Chad D. Meyerhoefer, Aaron Levick, David Pucklavage Rn, Bsn, Cpm, Sme
Donald Levick MD, MBA, CPHIMS
No abstract provided.
Reducing Unnecessary Testing In A Cpoe System Through Implementation Of A Targeted Cds Intervention, Donald Levick Md, Glenn Stern, Chad D. Meyerhoefer, Aaron Levick, David Pucklavage Rn, Bsn, Cpm, Sme
Reducing Unnecessary Testing In A Cpoe System Through Implementation Of A Targeted Cds Intervention, Donald Levick Md, Glenn Stern, Chad D. Meyerhoefer, Aaron Levick, David Pucklavage Rn, Bsn, Cpm, Sme
Donald Levick MD, MBA, CPHIMS
No abstract provided.
Differential Diagnosis Generators: An Evaluation Of Currently Available Computer Programs, William Bond Md, Ms, Linda M. Schwartz Mde, Ahip, Cm, Kevin Weaver Do, Donald Levick Md, Michael Guliano Md, Med, Mhpe, Mark L. Graber
Differential Diagnosis Generators: An Evaluation Of Currently Available Computer Programs, William Bond Md, Ms, Linda M. Schwartz Mde, Ahip, Cm, Kevin Weaver Do, Donald Levick Md, Michael Guliano Md, Med, Mhpe, Mark L. Graber
Linda Matula Schwartz MDE, AHIP, CM
No abstract provided.
A Neural Network Decision-Making Model For Job-Shop Scheduling”, Davood Golmohammadi Phd
A Neural Network Decision-Making Model For Job-Shop Scheduling”, Davood Golmohammadi Phd
Davood Golmohammadi
Scheduling in a job-shop system is a challenging task. Simulation modelling is a well-known approach for evaluating the scheduling plans of a job-shop system; however, it is costly and time-consuming, and developing a model and interpreting the results requires expertise. As an alternative, we have developed a neural network (NN) model focused on detailed scheduling that provides a versatile job-shop scheduling analysis framework for management to easily evaluate different possible scheduling scenarios based on internal or external constraints. A new approach is also proposed to enhance the quality of training data for better performance. Previous NN models in scheduling focus …