Estimating Sample Size for a Feasibility Study of Computer-Assisted Input Support to EDC

Naoki Nishimoto; Naomi Tamura; Jun Kunikata; Sumiko Akahori; Tomoaki Sogo; Yuma Tani; Hideto Yokoi

Estimating Sample Size for a Feasibility Study of Computer-Assisted Input Support to EDC

Stud Health Technol Inform. 2017:245:1279.

Authors

Naoki Nishimoto¹, Naomi Tamura², Jun Kunikata¹, Sumiko Akahori³, Tomoaki Sogo³, Yuma Tani⁴, Hideto Yokoi¹

Affiliations

¹ Clinical Research Support Center, Kagawa University Hospital, Kita-gun, Japan.
² Graduate School of Health Sciences, Hokkaido University, Sapporo, Japan.
³ Department of Medical Informatics, Kagawa University Hospital, Kita-gun, Japan.
⁴ Graduate School of Medicine, Kagawa University, Kita-gun, Japan.

PMID: 29295364

Abstract

The aim of this study was to to estimate the sample size for the assumed feasibility study of the computer-assisted input support on a clinica trial. More than 1,500 observations were required for the feasibility study with assumed settings. Further study was required for more efficient research design.

Keywords: Sample size; electric data caputring; hospital information systems.

MeSH terms

Clinical Trials as Topic*
Computer-Aided Design*
Feasibility Studies
Humans
Research Design
Sample Size*