Satisfaction and perceived usefulness with newly-implemented Electronic Health Records System among pediatricians at a university hospital

Healthcare Professionals ◽

Polynomial Regression ◽

Perceived Usefulness ◽

Intention To Use ◽

Information And Communications Technologies ◽

Health Records ◽

Communications Technologies ◽

Information and communications technologies are a significant component of the healthcare domain, and electronic health records play a major role in it. Therefore, it is important that they are accepted en masse by healthcare professionals. How healthcare professionals perceive the usefulness of electronic health records and their attitudes towards them have been shown to have significant effects on the overall acceptance in many healthcare systems around the world. This paper investigates the role of perceived usefulness and attitude on the intention to use electronic health records by future healthcare professionals using polynomial regression with response surface analysis. Results show that the relationships between these variables are more complex than predicted in prior research. The paper concludes that the properties of the above determinants must be further investigated to clearly understand: (i) their role in predicting the intention to use electronic health records; and (ii) in designing systems that are better adopted by healthcare professionals of the future.

Perceived usefulness and perceived ease of use of electronic health records among nurses: Application of Technology Acceptance Model

Informatics for Health and Social Care ◽

10.1080/17538157.2017.1363761 ◽

2017 ◽

Vol 43 (4) ◽

pp. 379-389 ◽

Cited By ~ 13

Author(s):

Ahmad Tubaishat

Keyword(s):

Technology Acceptance ◽

Technology Acceptance Model ◽

Ease Of Use ◽

Perceived Usefulness ◽

Perceived Ease Of Use ◽

Health Records ◽

Electronic Health ◽

Acceptance Model

Postpartum Hemorrhage: Differences in Definition, Data and Incidence

International Journal for Population Data Science ◽

10.23889/ijpds.v3i4.779 ◽

2018 ◽

Vol 3 (4) ◽

Author(s):

Diana Walther ◽

Patricia Halfon ◽

David Desseauve ◽

Yvan Vial ◽

Bernard Burnand ◽

...

Keyword(s):

Blood Loss ◽

Data Quality ◽

Data Availability ◽

University Hospital ◽

Diagnostic Code ◽

Health Records ◽

Discharge Data ◽

Diagnostic Codes ◽

IntroductionPostpartum hemorrhage (PPH) remains a major cause of morbidity and mortality worldwide. Geo-temporal comparisons of in-hospital PPH incidence remain a challenge due to differences in definition, data quality and the absence of accurate, validated indicators. Objectives and ApproachTo compare the incidence of PPH using different definitions to assess the need for a validated indicator. Singleton births from 2014-2016 at Lausanne University Hospital, Switzerland, were included. PPH was defined based on 1) clinical diagnosis using International Classification of Diseases (ICD-10-GM) PPH diagnostic codes, 2) volume of blood loss ≥500ml for vaginal births and ≥1000ml for cesareans 3) peripartum Hb change >2g/dl in vaginal births and ≥4g/dl in cesareans and 4) fulfillment of criteria from definition one, two or three. Data were extracted from hospital discharge data and linked with electronic health records. ResultsThere were 2529, 2660 and 2715 singleton births in 2014, 2015 and 2016, respectively, 28.8% were cesareans. Peripartum change in Hb was available for 17% of births. The incidence (95% CI) of PPH in 2014, 2015 and 2016 was, respectively: 1)6.0% (5.1, 7.0), 6.3% (5.4, 7.3) and 7.9% (6.9, 9.0) based on diagnostic codes; 2)7.9% (6.8, 9.0), 7.1% (6.2, 8.2) and 7.2% (6.3, 8.3) based on blood loss volumes; 3)2.4% (1.8, 3.1), 2.7% (2.1, 3.4) and 3.5% (2.9, 4.3) based on change in Hb; 4)11.3% (10.1, 12.6), 10.4% (9.3, 11.6) and 11.0% (9.9, 12.3) based on the combined definition. Differences in PPH incidence by year between definitions one and four, two and four and three and four were all statistically significant (McNemar p-values Conclusion/ImplicationsIncidence varied widely according to definition and data availability, not to mention data quality. Our results highlight the need for a validated PPH indicator to enable monitoring. Future prospects include the validation of a diagnostic code based PPH indicator aided by text mining in electronic health records.

The Role of Perceived Usefulness and Attitude on Electronic Health Record Acceptance

E-Health and Telemedicine ◽

10.4018/978-1-4666-8756-1.ch003 ◽

2016 ◽

pp. 49-59

Author(s):

Randike Gajanayake ◽

Tony Sahama ◽

Renato Iannella

Keyword(s):

Healthcare Professionals ◽

Polynomial Regression ◽

Perceived Usefulness ◽

Intention To Use ◽

Information And Communications Technologies ◽

Health Records ◽

Communications Technologies ◽

Information and communications technologies are a significant component of the healthcare domain, and electronic health records play a major role in it. Therefore, it is important that they are accepted en masse by healthcare professionals. How healthcare professionals perceive the usefulness of electronic health records and their attitudes towards them have been shown to have significant effects on the overall acceptance in many healthcare systems around the world. This paper investigates the role of perceived usefulness and attitude on the intention to use electronic health records by future healthcare professionals using polynomial regression with response surface analysis. Results show that the relationships between these variables are more complex than predicted in prior research. The paper concludes that the properties of the above determinants must be further investigated to clearly understand: (i) their role in predicting the intention to use electronic health records; and (ii) in designing systems that are better adopted by healthcare professionals of the future.

Interoperability of electronic health records using Semantic Knowledge Graphs. A use case applied at the UTPL University Hospital

CLEI electronic journal ◽

10.19153/cleiej.24.2.2 ◽

2021 ◽

Vol 24 (2) ◽

Author(s):

Monica Calva ◽

Nelson Piedra

Keyword(s):

Medical Information ◽

Semantic Knowledge ◽

University Hospital ◽

Medical Decision ◽

Use Case ◽

Semantic Technologies ◽

Health Records ◽

Knowledge Graphs ◽

Patient medical information is diverse, extensiveand of high value in supporting informed medical decision-making.This information is highly complex, is distributed among differentsystems, presents high heterogeneity, is stored in different formats,and has different structuring levels. The management of thisinformation poses interoperability challenges in tasks related to dataintegration and reuse. In this paper, an alternative is presented toface these challenges using semantic technologies. We propose totransform this heterogeneous, distributed, and unstructuredinformation in a way that ensures high interoperability, reuse, anddirect processing by machine agents. The pilot of this proposal wasdeveloped at the UTPL Hospital.

Oncology health-care professionals’ perceived effects of patient accessible electronic health records 6 years after launch: A survey study at a major university hospital in Sweden

Health Informatics Journal ◽

10.1177/1460458219881007 ◽

2019 ◽

Vol 26 (2) ◽

pp. 1392-1403 ◽

Cited By ~ 5

Author(s):

Jonas Moll ◽

Åsa Cajander

Keyword(s):

Health Care ◽

Health Care Professionals ◽

University Hospital ◽

Survey Study ◽

Negative Effects ◽

Health Records ◽

Perceived Effects ◽

Oncology Care ◽

Patient accessible electronic health records have been launched in many countries, and generally, health-care professionals have had strong initial concerns related to the areas patient contact, documentation practices and quality of care. Especially, oncology care was discussed in media when launching patient accessible electronic health records in Sweden. However, few studies have investigated clinician-perceived effects several years after the launch. A survey covering these areas, as well as supposed effects for patients, was distributed to oncology health-care professionals 6 years after the launch of patient accessible electronic health records and answered by N = 176. Results show that patient accessible electronic health records have had small effects within the covered areas, and that the area most affected was documentation practices. Very few significant differences could be found between physicians and nurses. A comparison with results from interviews and surveys conducted shortly after the launch of patient accessible electronic health records clearly indicates that the experienced negative effects are not as big as originally feared.

Exploring physicians’ extended use of electronic health records (EHRs)

Health Information Management Journal ◽

10.1177/1833358316651764 ◽

2016 ◽

Vol 45 (3) ◽

pp. 134-143 ◽

Cited By ~ 2

Author(s):

Wen Wang ◽

Xiping Zhao ◽

Jinglei Sun ◽

Guangquan Zhou

Keyword(s):

Social Influence ◽

Perceived Usefulness ◽

Healthcare Organisation ◽

Research Model ◽

Social Image ◽

Health Records ◽

Group Norm ◽

Electronic Health ◽

The Impact

Background: Once electronic health records (EHRs) have been fully implemented and integrated into the daily work of a healthcare organisation/hospital, there is considerable pressure on management to demonstrate the benefits that these systems can deliver to the organisation. One practical way to maximise the value and highlight the benefits of EHRs is to encourage physicians to increase and extend their use of EHR functions. Objective: This study used a social influence theory context to examine the impact of mechanisms of social influence on the intentions of physicians to extend their use of EHRs. Method: A survey of physicians ( n = 205) in a first-class comprehensive hospital in southern China was conducted approximately 2 years after the hospital’s introduction of EHRs. A 16-item questionnaire was developed to measure the impact of four social influence factors (reward, punishment, social image and group norm) on physicians’ intentions to extend their use of EHRs. The research model included two additional control variables (perceived usefulness and perceived ease of use) to account for potential covariance among social influence measures. Results: The study’s research model showed significant relationships between physicians’ responses on two of the social influence measures (rewards and group norm) and their intentions to extend their use of EHRs. Punishment and social image measures did not influence physicians’ intentions to increase their use of EHRs. Conclusion: These findings have suggested that for healthcare organisations to maximise the benefits of EHRs, the efforts of hospital management should be directed towards rewarding those physicians who increase their use of EHRs; and to promoting and reinforcing the increased usage of EHRs among physicians as a group norm.