SynthesisJournal of medical systems2021
Development of the Joint Commission of Taiwan's Smart Healthcare Standard.
Synthesis in Journal of medical systems, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
It is well known that information technology (IT) can play a pivotal role in enhancing healthcare quality and patient safety. The use of computational science to enhance the capabilities of hospital information systems helps deliver enhanced healthcare quality. "Smart healthcare" has become a popular term, reflecting the level of IT involvement in healthcare services. However, each hospital has a different level of IT development, and no clear definition of smart healthcare exists. In this study, we aimed to develop and validate a survey standard to evaluate the level of IT involvement in hospitals. The quality improvement task force of the Joint Commission of Taiwan (QITF-JCT) conducted a systematic literature review to identify the key elements of major healthcare IT functions. The modified Delphi technique was used to review the importance and appropriateness of these elements through an expert panel, and the JCT Smart Healthcare Standard version 1.0 (JCT-SHS 1.0) was drafted. A total of 40 healthcare quality improvement campaign (HQIC) application projects in 2018 were selected for evaluating nine key dimensions of hospital functions: security, digitization, automation, interconnection, connectivity, interoperability, mobility, computation, and artificial intelligence. The standard can be used smart hospital evaluation and executed by two experts by on-site evaluation and rating as three-level scale (norm, excellent, and innovative). The internal consistency and inter-rater reliability were investigated using Cronbach's α and kappa statistics, respectively. This standard was evaluated by using 40 HQIC application projects. The Cronbach's α values were in the range of 0.74-0.92, indicating the good internal consistency of the JCT-SHS 1.0 among the nine IT dimensions. The kappa correlation coefficients were 0.68 for security (p = 0.027), 0.47 for digitization (p = 0.042), 0.21 for automation (p = 0.048), 0.82 for interconnection (p = 0.014), 0.35 for connectivity (p = 0.036), 0.28 for interoperability (p = 0.042), 0.71 for mobility (p = 0.016), 0.47 for computation (p = 0.029), and 0.34 for artificial intelligence (p = 0.033), revealing moderate inter-rater reliability. The validation data indicated that the JCT-SHS 1.0 is a consistent and reliable instrument for evaluating the levels of IT development in the hospitals. Healthcare providers, external accreditation bodies, and policymakers may use the JCT-SHS 1.0 to assess and plan their organizational and system-wise IT strategy.
Indexed as
Identifiers
33977381What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.