| Literature DB >> 24333875 |
Mary Regina Boland1, Alexander Rusanov2, Yat So1, Carlos Lopez-Jimenez3, Linda Busacca4, Richard C Steinman5, Suzanne Bakken6, J Thomas Bigger5, Chunhua Weng7.
Abstract
Underspecified user needs and frequent lack of a gold standard reference are typical barriers to technology evaluation. To address this problem, this paper presents a two-phase evaluation framework involving usability experts (phase 1) and end-users (phase 2). In phase 1, a cross-system functionality alignment between expert-derived user needs and system functions was performed to inform the choice of "the best available" comparison system to enable a cognitive walkthrough in phase 1 and a comparative effectiveness evaluation in phase 2. During phase 2, five quantitative and qualitative evaluation methods are mixed to assess usability: time-motion analysis, software log, questionnaires - System Usability Scale and the Unified Theory of Acceptance of Use of Technology, think-aloud protocols, and unstructured interviews. Each method contributes data for a unique measure (e.g., time motion analysis contributes task-completion-time; software log contributes action transition frequency). The measures are triangulated to yield complementary insights regarding user-perceived ease-of-use, functionality integration, anxiety during use, and workflow impact. To illustrate its use, we applied this framework in a formative evaluation of a software called Integrated Model for Patient Care and Clinical Trials (IMPACT). We conclude that this mixed-methods evaluation framework enables an integrated assessment of user needs satisfaction and user-perceived usefulness and usability of a novel design. This evaluation framework effectively bridges the gap between co-evolving user needs and technology designs during iterative prototyping and is particularly useful when it is difficult for users to articulate their needs for technology support due to the lack of a baseline.Entities:
Keywords: Clinical trials; Evaluation studies; Medical informatics; Needs assessment; Workflow
Mesh:
Year: 2013 PMID: 24333875 PMCID: PMC4055529 DOI: 10.1016/j.jbi.2013.12.004
Source DB: PubMed Journal: J Biomed Inform ISSN: 1532-0464 Impact factor: 6.317