scholarly journals Impact of an Electronic Medical Record on Diabetes Quality of Care

2005 ◽  
Vol 3 (4) ◽  
pp. 300-306 ◽  
Author(s):  
P. J. O'Connor
Keyword(s):  
Quality Of Care ◽  
Medical Record ◽  
Electronic Medical Record

scholarly journals Integrating Patient-Generated Health Data in an Electronic Medical Record: Stakeholders’ Perspectives

2020 ◽  
Author(s):  
Katherine Blondon ◽  
Frederic Ehrler
Keyword(s):  
Patient Safety ◽  
Quality Of Care ◽  
Focus Group ◽  
Medical Record ◽  
Electronic Medical Record ◽  
Health Data ◽  
Improve Quality

Patient-generated health data (PGHD), when shared with the provider, provides potential as an approach to improve quality of care. Based on interviews and a focus group with stakeholders involved in PGHD integration in the electronic medical record (EMR), we explore the benefits, barriers and possible risks. We propose solutions to address liability concerns, such as clarifying patient and provider expectations for the analyses of PGHD and emphasize considerations for future steps, which include the need to screen PGHD for patient safety.

Identifying individuals with multiple sclerosis in an electronic medical record

2014 ◽  
Vol 21 (2) ◽  
pp. 217-224 ◽  
Author(s):  
Kristen M Krysko ◽  
Noah M Ivers ◽  
Jacqueline Young ◽  
Paul O’Connor ◽  
Karen Tu
Keyword(s):  
Primary Care ◽  
Quality Of Care ◽  
Medical Record ◽  
Electronic Medical Record ◽  
Primary Care Physicians ◽  
Policy Makers ◽  
Patient Profile ◽  
Physician Billing ◽  
Chart Abstraction

Background: The increasing use of electronic medical records (EMRs) presents an opportunity to efficiently evaluate and improve quality of care for individuals with MS. Objectives: We aimed to establish an algorithm to identify individuals with MS within EMRs. Methods: We used a sample of 73,003 adult patients from 83 primary care physicians in Ontario using the Electronic Medical Record Administrative data Linked Database (EMRALD). A reference standard of 247 individuals with MS was identified through chart abstraction. The accuracy of identifying individuals with MS in an EMR was assessed using information in the cumulative patient profile (CPP), prescriptions and physician billing codes. Results: An algorithm identifying MS in the CPP performed well with 91.5% sensitivity, 100% specificity, 98.7% PPV and 100% NPV. The addition of prescriptions for MS-specific medications and physician billing code 340 used four times within any 12-month timeframe slightly improved the sensitivity to 92.3% with a PPV of 97.9%. Conclusions: Data within an EMR can be used to accurately identify patients with MS. This study has positive implications for clinicians, researchers and policy makers as it provides the potential to identify cohorts of MS patients in the primary care setting to examine quality of care.

scholarly journals A study on perception of clinicians regarding use of electronic medical record for patients attending outpatient departments in a tertiary care teaching hospital in northern India

2020 ◽  
Vol 8 (1) ◽  
pp. 237
Author(s):  
Samarpita Dutta ◽  
Nirupam Madaam ◽  
Parmeshwar Kumar
Keyword(s):  
Quality Of Care ◽  
Medical Record ◽  
Electronic Medical Record ◽  
Tertiary Care ◽  
Background Information ◽  
Care Hospital ◽  
Outpatient Departments ◽  
Computer Based ◽  
The Mean

Background: Information technology is increasingly being recognized as an important tool for improving patient safety and quality of care. Use of electronic medical record has the greatest potential for improving quality in healthcare. Use of technology in a highly interactive environment such as the OPD has to be user friendly and acceptable. Therefore a study was carried out to assess the perception of clinicians regarding use of computer modules in clinical care in the outpatient departments of a tertiary care hospital in northern India.Methods: A cross sectional study was carried out over a period of two months in which 70 clinicians in the selected hospital were administered pre-designed questionnaire format for self reporting. It required them to rate their preferences regarding adoption of a computer based module for their OPDs and how this would affect their time and quality of patient care.Results: For a given computer based module in OPD, 81.4% of the clinicians supported its adoption. The mean scores suggested that most clinicians perceive that use of electronic medical record would improve quality of care. The mean scores for any of the parameters did not differ significantly amongst supporters and non-supporters of adoption of the module except on one parameter that it would be easier to follow a patient seen earlier by another clinician (p<0.05).Conclusions: Although there might be an initial resistance to change, overall clinicians perceive that introduction of electronic medical records on outpatient department would lead to improved quality of medical information management.

scholarly journals The perceptions of medical specialists on the influence of Electronic Medical Record use on the quality of hospital care.

2020 ◽  
Author(s):  
rube van poelgeest ◽  
Guus Schrijvers ◽  
Albert Boonstra ◽  
Kit Roes
Keyword(s):  
Quality Of Care ◽  
Decision Support ◽  
Medical Record ◽  
Electronic Medical Record ◽  
Medical Decision ◽  
Medical Specialist ◽  
Structured Interviews ◽  
Medical Specialists ◽  
Organisation Of Care

Abstract Background: Numerous publications show that Electronic Medical Record (EMR) systems may provide an important contribution to increasing the quality and effectiveness of care. There are indications that particularly the medical specialist plays an important role in the implementation of EMR systems in hospitals. Our goal in this study is to answer the question: which positive or negative factors influence, in the perception of medical specialists, the relation between the EMR use and the quality of medical care?Methods: To answer this question, a qualitative study was conducted in the period August until October 2018. Semi-structured interviews of around 90 minutes were held with twelve medical specialists of twelve different Dutch hospitals. For the analysis of the answers, we used the classification of factors that can influence the implementation of EMR systems based on a previously published taxonomy.Results: The participating interviewees were experienced medical specialists. Their experience within the hospitals concerned varies between 5 and 27 years. There is a spread across different types of hospitals and specialisms. When the answers received are categorised using a previously published taxonomy, the medical specialist considered technical factors the most significant barriers for EMR use to have a positive effect on quality of care, followed by the suboptimal change processes surrounding implementation. The categories ‘social’ and ‘psychological’ and ‘time’ come in at a shared third place. On the positive side, they also identified potential technical facilitators, particularly in the assured availability of information to all health professionals involved in the care of a patient. They see promise in using EMRs for medical decision support to improve quality of care, but consider these capabilities currently lacking.Conclusions: In comparison with the paper record, the interviewed medical specialists consider the digitalised record a great leap forward. Every involved health professional can access the patient data if desired at any time they need it. However, in practice, real quality improvement lags behind as long as, for instance, no one uses decision support no one uses decision support, good integrated analytic tools are missing, and the organisation of care is not adapted to these new possibilities.

Validity of Using an Electronic Medical Record for Assessing Quality of Care in an Outpatient Setting

Medical Care ◽  
2005 ◽  
Vol 43 (7) ◽  
pp. 691-698 ◽  
Author(s):  
Andrea L. Benin ◽  
Grace Vitkauskas ◽  
Elizabeth Thornquist ◽  
Eugene D. Shapiro ◽  
John Concato ◽  
...  
Keyword(s):  
Quality Of Care ◽  
Medical Record ◽  
Electronic Medical Record ◽  
Outpatient Setting

scholarly journals Depression Quality of Care: Measuring Quality over Time Using VA Electronic Medical Record Data

2016 ◽  
Vol 31 (S1) ◽  
pp. 36-45 ◽  
Author(s):  
Melissa M. Farmer ◽  
Lisa V. Rubenstein ◽  
Cathy D. Sherbourne ◽  
Alexis Huynh ◽  
Karen Chu ◽  
...  
Keyword(s):  
Quality Of Care ◽  
Medical Record ◽  
Electronic Medical Record ◽  
Medical Record Data ◽  
Electronic Medical Record Data ◽  
Record Data ◽  
Over Time

The Use of Bedside Electronic Medical Record to Improve Quality of Care in Nursing Facilities

2010 ◽  
pp. 1 ◽  
Author(s):  
MARILYN J. RANTZ ◽  
GREG ALEXANDER ◽  
COLLEEN GALAMBOS ◽  
MARCIA K. FLESNER ◽  
AMY VOGELSMEIER ◽  
...  
Keyword(s):  
Quality Of Care ◽  
Medical Record ◽  
Electronic Medical Record ◽  
Improve Quality ◽  
Nursing Facilities
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