PSYCHOMS&amp;#x00AE;, An electronic nursing management system to facilitate interdisciplinary communication and improve patient outcomes in psychiatric hospitals

Tanioka, Tetsuya; Osaka, Kyoko; Chiba, Shinichi; Parker, Carlo; Yasuhara, Yuko; Locsin, Rozzano C.; Kawanishi, Chiemi

doi:10.1109/nlpke.2011.6138241

Cited by 2 publications

(1 citation statement)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A system that could perform data analysis that varies with the function of the hospital ward and patient characteristics in line with the requirements of the nursing administrator such as extracting the outcomes they need could raise the quality and efficiency of nursing administration and help to improve the quality of nursing care services in psychiatric wards [14]. The PSYCHOMS ® (Psychiatric Outcome Management System, registered trademark, Tanioka et al) is an electronic nursing management system designed for the purpose of interdisciplinary communication, and to improve patient outcomes in psychiatric hospitals [15].…”

Section: Introductionmentioning

confidence: 99%

Methodology for Developing a Nursing Administration Analysis System

Miyagawa

Tanioka²,

Yasuhara³

et al. 2014

IIM

Self Cite

View full text Add to dashboard Cite

Nursing administration requires a large volume of wide-ranging information, and nurse administrators are limited in their ability to compile and analyze information for nursing administration. The purpose of this study is to create methodology for developing a nursing administration analysis system to aid nurse administrators in performing outcome analysis. In this methodology, information required for nursing administration in the PSYCHOMS ® (Psychiatric Outcome Management System, registered trademark) database is analyzed according to the individual needs of nurse administrators. It features a combination of a classification method and an extraction method for obtaining quantitative and qualitative data as information required for nursing administration, and enables nurse administrators to easily obtain analysis results that they directly need. This methodology converts the time required nurse administrators to collect and organize information into time for making considerations in order to devise strategies for improving the quality of nursing care services, and can improve the quality and efficiency of nursing administration. This may lead to an increase of the quality of nursing care services at psychiatric hospitals. This methodology is highly versatile as it can be applied in information management, not only for nursing, but for the entire psychiatric hospital. M. Miyagawa et al.

show abstract

Section: Introductionmentioning

confidence: 99%

Methodology for Developing a Nursing Administration Analysis System

Miyagawa

Tanioka²,

Yasuhara³

et al. 2014

IIM

Self Cite

View full text Add to dashboard Cite

show abstract

What You Need to Know Before Implementing a Clinical Research Data Warehouse: Comparative Review of Integrated Data Repositories in Health Care Institutions

Gagalova¹,

Elizalde²,

Portales-Casamar³

et al. 2020

JMIR Form Res

View full text Add to dashboard Cite

Background Integrated data repositories (IDRs), also referred to as clinical data warehouses, are platforms used for the integration of several data sources through specialized analytical tools that facilitate data processing and analysis. IDRs offer several opportunities for clinical data reuse, and the number of institutions implementing an IDR has grown steadily in the past decade. Objective The architectural choices of major IDRs are highly diverse and determining their differences can be overwhelming. This review aims to explore the underlying models and common features of IDRs, provide a high-level overview for those entering the field, and propose a set of guiding principles for small- to medium-sized health institutions embarking on IDR implementation. Methods We reviewed manuscripts published in peer-reviewed scientific literature between 2008 and 2020, and selected those that specifically describe IDR architectures. Of 255 shortlisted articles, we found 34 articles describing 29 different architectures. The different IDRs were analyzed for common features and classified according to their data processing and integration solution choices. Results Despite common trends in the selection of standard terminologies and data models, the IDRs examined showed heterogeneity in the underlying architecture design. We identified 4 common architecture models that use different approaches for data processing and integration. These different approaches were driven by a variety of features such as data sources, whether the IDR was for a single institution or a collaborative project, the intended primary data user, and purpose (research-only or including clinical or operational decision making). Conclusions IDR implementations are diverse and complex undertakings, which benefit from being preceded by an evaluation of requirements and definition of scope in the early planning stage. Factors such as data source diversity and intended users of the IDR influence data flow and synchronization, both of which are crucial factors in IDR architecture planning.

show abstract

PSYCHOMS®, An electronic nursing management system to facilitate interdisciplinary communication and improve patient outcomes in psychiatric hospitals

Cited by 2 publications

References 16 publications

Methodology for Developing a Nursing Administration Analysis System

Methodology for Developing a Nursing Administration Analysis System

What You Need to Know Before Implementing a Clinical Research Data Warehouse: Comparative Review of Integrated Data Repositories in Health Care Institutions

Contact Info

Product

Resources

About