Abstract:
BACKGROUND:Adopting mobile electronic medical record (MEMR) systems is expected to be one of the superior approaches for improving nurses' bedside and point of care services. However, nurses may use the functions for far fewer tasks than the MEMR supports. This may depend on their technological personality associated to MEMR acceptance. The purpose of this study is to investigate nurses' personality traits in regard to technology readiness toward MEMR acceptance. METHODS:The study used a self-administered questionnaire to collect 665 valid responses from a large hospital in Taiwan. Structural Equation modeling was utilized to analyze the collected data. RESULTS:Of the four personality traits of the technology readiness, the results posit that nurses are optimistic, innovative, secure but uncomfortable about technology. Furthermore, these four personality traits were all proven to have a significant impact on the perceived ease of use of MEMR while the perceived usefulness of MEMR was significantly influenced by the optimism trait only. The results also confirmed the relationships between the perceived components of ease of use, usefulness, and behavioral intention in the Technology Acceptance Model toward MEMR usage. CONCLUSIONS:Continuous educational programs can be provided for nurses to enhance their information technology literacy, minimizing their stress and discomfort about information technology. Further, hospital should recruit, either internally or externally, more optimistic nurses as champions of MEMR by leveraging the instrument proposed in this study. Besides, nurses' requirements must be fully understood during the development of MEMR to ensure that MEMR can meet the real needs of nurses. The friendliness of user interfaces of MEMR and the compatibility of nurses' work practices as these will also greatly enhance nurses' willingness to use MEMR. Finally, the effects of technology personality should not be ignored, indicating that hospitals should also include more employees' characteristics beyond socio-demographic profiles in their personnel databases.
journal_name
BMC Med Inform Decis Makjournal_title
BMC medical informatics and decision makingauthors
Kuo KM,Liu CF,Ma CCdoi
10.1186/1472-6947-13-88subject
Has Abstractpub_date
2013-08-12 00:00:00pages
88issn
1472-6947pii
1472-6947-13-88journal_volume
13pub_type
杂志文章abstract:BACKGROUND:We have carried out an extensive qualitative research program focused on the barriers and facilitators to successful adoption and use of various features of advanced, state-of-the-art electronic health records (EHRs) within large, academic, teaching facilities with long-standing EHR research and development ...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
doi:10.1186/1472-6947-11-13
更新日期:2011-02-17 00:00:00
abstract:BACKGROUND:Jurisdictional drug information systems are being implemented in many regions around the world. British Columbia, Canada has had a provincial medication dispensing record, PharmaNet, system since 1995. Little is known about how accurately PharmaNet reflects actual medication usage. METHODS:This prospective,...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章,多中心研究
doi:10.1186/1472-6947-12-42
更新日期:2012-05-23 00:00:00
abstract:BACKGROUND:Comparing outcomes between hospitals requires consideration of patient factors that could account for any observed differences. Adjusting for comorbid conditions is common when studying outcomes following cancer surgery, and a commonly used measure is the Charlson comorbidity index. Other measures of patient...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
doi:10.1186/s12911-015-0175-1
更新日期:2015-07-15 00:00:00
abstract::After publication of this supplement article [1], it is requested the grant ID in the Funding section should be corrected from NSF grant IIS-7811367 to NSF grant IIS-1902617. ...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章,已发布勘误
doi:10.1186/s12911-020-1096-1
更新日期:2020-04-28 00:00:00
abstract:BACKGROUND:To determine patients' preferences for, and understanding of, FRAX® fracture risk conveyed through illustrations. METHODS:Drawing on examples from published studies, four illustrations of fracture risk were designed and tested for patient preference, ease of understanding, and perceived risk. We enrolled a ...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章,多中心研究
doi:10.1186/s12911-014-0101-y
更新日期:2014-11-25 00:00:00
abstract:BACKGROUND:Computerized ICUs rely on software services to convey the medical condition of their patients as well as assisting the staff in taking treatment decisions. Such services are useful for following clinical guidelines quickly and accurately. However, the development of services is often time-consuming and error...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
doi:10.1186/1472-6947-10-3
更新日期:2010-01-18 00:00:00
abstract:BACKGROUND:Technological support using e-health mobile applications (m-health) is a promising strategy to improve the adherence to healthy lifestyles in breast cancer survivors (excess in energy intake or low physical activity are determinants of the risk of recurrence, second cancers and cancer mortality). Moreover, c...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章,随机对照试验
doi:10.1186/s12911-016-0394-0
更新日期:2016-11-25 00:00:00
abstract:BACKGROUND:To evaluate whether or not the utilization of Health Information Technologies (HITs) in Quality Improvement Methodologies (QIMs) has impacts on QIMs' efficiency, throughput and financial outcomes at healthcare organizations and physician practices in the United States. METHODS:This is a retrospective observ...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
doi:10.1186/s12911-016-0395-z
更新日期:2016-12-05 00:00:00
abstract:BACKGROUND:At present, dengue control focuses on reducing the density of the primary vector for the disease, Aedes aegypti, which is the only vulnerable link in the chain of transmission. The use of new approaches for dengue entomological surveillance is extremely important, since present methods are inefficient. With ...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
doi:10.1186/s12911-015-0219-6
更新日期:2015-11-13 00:00:00
abstract:BACKGROUND:Most hospitals keep and update their paper-based medical records after introducing an electronic medical record or a hospital information system (HIS). This case report describes a HIS in a hospital where the paper-based medical records are scanned and eliminated. To evaluate the HIS comprehensively, the per...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
doi:10.1186/1472-6947-4-18
更新日期:2004-10-16 00:00:00
abstract:BACKGROUND:Named entity recognition (NER) is an important task in clinical natural language processing (NLP) research. Machine learning (ML) based NER methods have shown good performance in recognizing entities in clinical text. Algorithms and features are two important factors that largely affect the performance of ML...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
doi:10.1186/1472-6947-13-S1-S1
更新日期:2013-01-01 00:00:00
abstract:BACKGROUND:Longitudinal, patient-centered care represents a challenge for general practitioners (GPs), and in this context, reminder systems can offer targeted support. This study aimed to identify details of such reminders: (1) contents of care addressed, (2) their mode of display in the electronic health record (EHR)...
journal_title:BMC medical informatics and decision making
pub_type: 临床试验,杂志文章
doi:10.1186/s12911-016-0387-z
更新日期:2016-11-24 00:00:00
abstract:BACKGROUND:Discharge planning is a care process that aims to secure the transfer of care for the patient at transition from home to the hospital and back home. Information exchange and collaboration between care providers are essential, but deficits are common. A wide range of initiatives to improve the discharge plann...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
doi:10.1186/s12911-016-0285-4
更新日期:2016-04-27 00:00:00
abstract:BACKGROUND:A pandemic affects healthcare delivery and consequently leads to socioeconomic complications. During a pandemic, a community where there lives an asymptomatic patient (AP) becomes a potential endemic zone. Assuming we want to monitor the travel and/or activity of an AP in a community where there is a pandemi...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
doi:10.1186/s12911-020-01258-z
更新日期:2020-09-29 00:00:00
abstract:BACKGROUND:Effective use of a patient decision aid (PtDA) can be affected by the user's health literacy and the PtDA's characteristics. Systematic reviews of the relevant literature can guide PtDA developers to attend to the health literacy needs of patients. The reviews reported here aimed to assess: METHODS:We revie...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章,评审
doi:10.1186/1472-6947-13-S2-S10
更新日期:2013-01-01 00:00:00
abstract:BACKGROUND:Clinical named entity recognition (CNER) is important for medical information mining and establishment of high-quality knowledge map. Due to the different text features from natural language and a large number of professional and uncommon clinical terms in Chinese electronic medical records (EMRs), there are...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
doi:10.1186/s12911-019-0933-6
更新日期:2019-12-05 00:00:00
abstract:BACKGROUND:Fever is one of the most common symptoms of pediatric consultations and its mismanagement is a health care burden. Guidelines on fever management are incoherent and data on fever management are still missing. This study protocol describes an app-based registry to evaluate the fever management of parents. OB...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
doi:10.1186/s12911-020-01269-w
更新日期:2020-10-01 00:00:00
abstract:BACKGROUND:Intensive care information systems (ICIS) are continuously evolving to meet the ever changing information needs of intensive care units (ICUs), providing the backbone for a safe, intelligent and efficient patient care environment. Although beneficial for the international advancement in building smart enviro...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
doi:10.1186/s12911-017-0569-3
更新日期:2017-12-06 00:00:00
abstract::In this editorial, we first summarize the Third International Workshop on Semantics-Powered Data Analytics (SEPDA 2018) held on December 3, 2018 in conjunction with the 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2018) in Madrid, Spain, and then briefly introduce five research articles i...
journal_title:BMC medical informatics and decision making
pub_type: 社论
doi:10.1186/s12911-019-0855-3
更新日期:2019-08-08 00:00:00
abstract:BACKGROUND:Demographic change with its consequences of an aging society and an increase in the demand for care in the home environment has triggered intensive research activities in sensor devices and smart home technologies. While many advanced technologies are already available, there is still a lack of decision supp...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章,评审
doi:10.1186/1472-6947-12-43
更新日期:2012-05-28 00:00:00
abstract:BACKGROUND:In recent years, inter-municipal cooperation in healthcare services has been an important measure implemented to meet future demographic changes in western countries. This entails an increased focus on communication and information sharing across organisational borders. Technology enables efficient and effec...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
doi:10.1186/s12911-018-0701-z
更新日期:2018-11-07 00:00:00
abstract:BACKGROUND:Due to the increasing functionality of medical information systems, it is hard to imagine day to day work in hospitals without IT support. Therefore, the design of dialogues between humans and information systems is one of the most important issues to be addressed in health care. This survey presents an anal...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
doi:10.1186/1472-6947-11-69
更新日期:2011-11-09 00:00:00
abstract:BACKGROUND:Information and communication technologies have become a vital infrastructural asset for use in the retention of rural health workers. However, little is known about the potential influence of ICT use, perceptions of health workers on ICT in healthcare delivery, and contribution of ICT to health care provide...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
doi:10.1186/s12911-016-0403-3
更新日期:2017-01-10 00:00:00
abstract:BACKGROUND:Clinical text classification is an fundamental problem in medical natural language processing. Existing studies have cocnventionally focused on rules or knowledge sources-based feature engineering, but only a limited number of studies have exploited effective representation learning capability of deep learni...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
doi:10.1186/s12911-019-0781-4
更新日期:2019-04-04 00:00:00
abstract:BACKGROUND:Early alarm of hypoglycemia, detection of asymptomatic hypoglycemia, and effective control of blood glucose fluctuation make a great contribution to diabetic treatment. In this study, we designed a multi-level hypoglycemia early alarm system to mine potential information in Continuous Glucose Monitoring (CGM...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
doi:10.1186/s12911-021-01389-x
更新日期:2021-01-21 00:00:00
abstract:BACKGROUND:Automated reporting of estimated glomerular filtration rate (eGFR) is a recent advance in laboratory information technology (IT) that generates a measure of kidney function with chemistry laboratory results to aid early detection of chronic kidney disease (CKD). Because accurate diagnosis of CKD is critical ...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
doi:10.1186/1472-6947-12-69
更新日期:2012-07-12 00:00:00
abstract:BACKGROUND:Longevity creates increasing care needs for healthcare providers and family caregivers. Increasingly, the burden of care falls to one primary caregiver, increasing stress and reducing health outcomes. Additionally, little has been published on adults', over the age of 75, preferences in the development of he...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
doi:10.1186/s12911-018-0697-4
更新日期:2018-11-20 00:00:00
abstract:BACKGROUND:High levels of adherence to medications for HIV infection are essential for optimal clinical outcomes and to reduce viral transmission, but many patients do not achieve required levels. Clinician-delivered interventions can improve patients' adherence, but usually require substantial effort by trained indivi...
journal_title:BMC medical informatics and decision making
pub_type: 临床试验,杂志文章
doi:10.1186/1472-6947-13-29
更新日期:2013-02-28 00:00:00
abstract:BACKGROUND:Mathematical models can be used to predict individual growth responses to growth hormone (GH) therapy. The aim of this study was to construct and validate high-precision models to predict the growth response to GH treatment of short children, independent of their GH status, birth size and gestational age. As...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
doi:10.1186/1472-6947-7-40
更新日期:2007-12-12 00:00:00
abstract:BACKGROUND:Machine learning is a branch of Artificial Intelligence that is concerned with the design and development of algorithms, and it enables today's computers to have the property of learning. Machine learning is gradually growing and becoming a critical approach in many domains such as health, education, and bus...
journal_title:BMC medical informatics and decision making
pub_type: 杂志文章
doi:10.1186/s12911-019-0990-x
更新日期:2019-12-12 00:00:00