The Electronic Health Record to Support Women's Health

2009 ◽  
pp. 65-76 ◽  
Author(s):  
Emma Parry
Keyword(s):  
Electronic Health Record ◽  
Women’S Health ◽  
Women's Health ◽  
Health Informatics ◽  
Clinical Information System ◽  
Future Research ◽  
Health Record ◽  
Data Accessibility ◽  
Middleware Technology ◽  
Electronic Health

The seamless electronic health record is often hailed as the holy grail of health informatics. What is an electronic health record? This question is answered and consideration is given to the advantages and disadvantages of an electronic health record. The place of the electronic health record at the centre of a clinical information system is discussed. In expanding on the advantages several areas are covered including: analysis of data, accessibility and availability, and access control. Middleware technology and its place are discussed. Requirements for implementing a system and some of the issues that can arise in the field of women’s health are elucidated. Finally, in this exciting and fast moving field, future research is discussed.

The Electronic Health Record to Support Women’s Health

2011 ◽  
pp. 1581-1591
Author(s):  
Emma Parry
Keyword(s):  
Electronic Health Record ◽  
Women’S Health ◽  
Women's Health ◽  
Health Informatics ◽  
Clinical Information System ◽  
Future Research ◽  
Health Record ◽  
Data Accessibility ◽  
Middleware Technology ◽  
Electronic Health

The seamless electronic health record is often hailed as the holy grail of health informatics. What is an electronic health record? This question is answered and consideration is given to the advantages and disadvantages of an electronic health record. The place of the electronic health record at the centre of a clinical information system is discussed. In expanding on the advantages several areas are covered including: analysis of data, accessibility and availability, and access control. Middleware technology and its place are discussed. Requirements for implementing a system and some of the issues that can arise in the field of women’s health are elucidated. Finally, in this exciting and fast moving field, future research is discussed.

scholarly journals Opinions, perceptions and attitudes toward an electronic health record system among practicing nurses

2017 ◽  
Vol 8 (3) ◽  
pp. 12
Author(s):  
Ahmad H. Abu Raddaha ◽  
Arwa Obeidat ◽  
Huda Al Awaisi ◽  
Jahara Hayudini
Keyword(s):  
Electronic Health Record ◽  
Clinical Information System ◽  
Research Work ◽  
Healthcare Delivery ◽  
Future Research ◽  
Health Record ◽  
Randomized Sampling ◽  
Positive Attitudes ◽  
Electronic Health ◽  
The Impact

Background: Despite worldwide expanding implementation of electronic health record (EHR) systems, healthcare professionals conducted limited number of studies to explore factors that might facilitate or jeopardize using these systems. This study underscores the impact of nurses’ opinions, perceptions, and computer competencies on their attitudes toward using an EHR system.Methods: With randomized sampling, a cross-sectional exploratory design was used. The sample consisted of 169 nurses who worked at a public teaching hospital in Oman. They completed self-administered questionnaire. Several standardized valid and reliable instruments were utilized.Results: Seventy-four percent of our study nurses had high positive attitudes toward the EHR system. The least ranked perception scores (60.4%) were linked to perceiving that suggestions made by nurses about the system would be taken into account. Nurses who reported that the hospital sought for suggestions for customization of the system [OR: 2.54 (95% CI: 1.09, 5.88), p = .03], who found the system as an easy-to-use clinical information system [OR: 6.53 (95% CI: 1.72, 24.75), p = .01], who reported the presence of good relationship with the system’s managing personnel [OR: 3.59 (95% CI: 1.13, 11.36), p = .03] and who reported that the system provided all needed health information [OR: 2.97 (95% CI: 1.16, 7.62), p = .02] were more likely to develop high positive attitudes toward the system.Conclusions: To better develop plans to foster the EHR system’s use facilitators and overcome its usage barriers by nursing professionals, more involvement of nurses in system’s customization endeavors is highly suggested. When the system did not disrupt workflows, it would decrease clinical errors and expand nursing productivity. In order to maximize the utilization of the system in healthcare delivery, future research work to investigate the effect of the system on other healthcare providers and inter-professional communications is pressingly needed.

24. ELECTRONIC HEALTH RECORD SYSTEMS IN AUSTRALIA & NEW ZEALAND SH/HIV/HEP C/WOMEN'S HEALTH CLINICS 2006 - A PILOT PROJECT

Sexual Health ◽  
2007 ◽  
Vol 4 (4) ◽  
pp. 293
Author(s):  
J. Chuah ◽  
W. Fankhauser ◽  
M. Page ◽  
B. Dickson
Keyword(s):  
Sexual Health ◽  
Electronic Health Record ◽  
Women’S Health ◽  
Women's Health ◽  
Response Rate ◽  
Small Sample ◽  
Health Record ◽  
Priority List ◽  
It Support ◽  
Electronic Health

Objective: This pilot study examined the utility pattern of electronic health record & clinic management systems in the region. Methods: An anonymous one-paged survey form was sent either by email or facsimile to 100 randomly selected public & private Sexual Health/ HIV/ Hep C/ Women's Health/ GP (High Case Load ) listed in the Australasian Chapter of Sexual Health Medicine Register of Public SH Clinics 2006 and the ASHM Directory 2006-2007. Responses on the clinics activities & utility for 2006 were collated. Results: Response rate = 20% N = 20 clinics Mean Occasion of service (OS) = 4812 MedianOS = 4150 (Range 162-20 000) 25% of clinics provided estimated figures only Mean No. tests done = 5467 Median = 5474 (Range 224-20 000) Nature of Clinics: SH 81.3% FP/Women's Health 18.8% GP 6.3% Other 6.3% Clinic Software: SHIP 50% Other 25% Nil 25% Regular Reports: None 62.5% Daily 37.1% Weekly 6.4% Monthly 37.5% Quarterly 31.5% Annually 43.8% QA 37.5% Research 31.3% Automatic Results download: Yes 43.8% No, plan to 25% No Plan 12.5% Unsure 18.7% Hours of training provided to staff on clinic software: mean 61.8 hrs median 1 h (Range 0-500) Funding allocated for clinic IT support in 2007: None 37.5% Unsure 56.3% Yes 6.25% (Max $6000) Funding allocated for IT support in next 3-5 yrs: None 100% Discussion: Limitations of study: Small sample (100/355 clinics) and limited response rate (20%), the latter may indicate that issues of eHealth have not featured in the priority list of most clinics surveyed, as evident in the poor level of funding (>90% none or unsure) and training (median 1 h for 2006) allocations. Others trends and issues include: low ratio of utility compared to the functionality of the softwares & technology available; competing interests of policy & privacy etc. will be discussed with recommendations proffered.

scholarly journals Electronic Health Record Acceptance by Physicians: A Single Hospital Experience in Daily Practice

2021 ◽  
Vol 1 (1) ◽  
pp. 6-17
Author(s):  
Andrija Pavlovic ◽  
Nina Rajovic ◽  
Jasmina Pavlovic Stojanovic ◽  
Debora Akinyombo ◽  
Milica Ugljesic ◽  
...  
Keyword(s):  
Health Care ◽  
Logistic Regression ◽  
Electronic Health Record ◽  
Technology Acceptance ◽  
Daily Practice ◽  
Ease Of Use ◽  
Future Research ◽  
Health Record ◽  
Cross Sectional ◽  
Electronic Health

Introduction: Potential benefits of implementing an electronic health record (EHR) to increase the efficiency of health services and improve the quality of health care are often obstructed by the unwillingness of the users themselves to accept and use the available systems. Aim: The aim of this study was to identify factors that influence the acceptance of the use of an EHR by physicians in the daily practice of hospital health care. Material and Methods: The cross-sectional study was conducted among physicians in the General Hospital Pancevo, Serbia. An anonymous questionnaire, developed according to the technology acceptance model (TAM), was used for the assessment of EHR acceptance. The response rate was 91%. Internal consistency was assessed by Cronbach’s alpha coefficient. A logistic regression analysis was used to identify the factors influencing the acceptance of the use of EHR. Results: The study population included 156 physicians. The mean age was 46.4 ± 10.4 years, 58.8% participants were female. Half of the respondents (50.1%) supported the use of EHR in comparison to paper patient records. In multivariate logistic regression modeling of social and technical factors, ease of use, usefulness, and attitudes towards use of EHR as determinants of the EHR acceptance, the following predictors were identified: use of a computer outside of the office for reading daily newspapers (p = 0.005), EHR providing a greater amount of valuable information (p = 0.007), improvement in the productivity by EHR use (p < 0.001), and a statement that using EHR is a good idea (p = 0.014). Overall the percentage of correct classifications in the model was 83.9%. Conclusion: In this research, determinants of the EHR acceptance were assessed in accordance with the TAM, providing an overall good model fit. Future research should attempt to add other constructs to the TAM in order to fully identify all determinants of physician acceptance of EHR in the complex environment of different health systems.

scholarly journals Transition to a new electronic health record and pediatric medication safety: lessons learned in pediatrics within a large academic health system

2018 ◽  
Vol 25 (7) ◽  
pp. 848-854 ◽  
Author(s):  
Kimberly Whalen ◽  
Emily Lynch ◽  
Iman Moawad ◽  
Tanya John ◽  
Denise Lozowski ◽  
...  
Keyword(s):  
Electronic Health Record ◽  
Medication Safety ◽  
Pediatric Population ◽  
Care Center ◽  
Tertiary Care ◽  
Lessons Learned ◽  
Future Research ◽  
Health Record ◽  
Electronic Health ◽  
Roll Out

Abstract Objective While the electronic health record (EHR) has become a standard of care, pediatric patients pose a unique set of risks in adult-oriented systems. We describe medication safety and implementation challenges and solutions in the pediatric population of a large academic center transitioning its EHR to Epic. Methods Examination of the roll-out of a new EHR in a mixed neonatal, pediatric and adult tertiary care center with staggered implementation. We followed the voluntarily reported medication error rate for the neonatal and pediatric subsets and specifically monitored the first 3 months after the roll-out of the new EHR. Data was reviewed and compiled by theme. Results After implementation, there was a 5-fold increase in the overall number of medication safety reports; by the third month the rate of reported medication errors had returned to baseline. The majority of reports were near misses. Three major safety themes arose: (1) enterprise logic in rounding of doses and dosing volumes; (2) ordering clinician seeing a concentration and product when ordering medications; and (3) the need for standardized dosing units through age contexts created issues with continuous infusions and pump library safeguards. Conclusions Future research and work need to be focused on standards and guidelines on implementing an EHR that encompasses all age contexts.

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