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

Author(s):  
MARILYN J. RANTZ ◽  
GREG ALEXANDER ◽  
COLLEEN GALAMBOS ◽  
MARCIA K. FLESNER ◽  
AMY VOGELSMEIER ◽  
...  
Author(s):  
Katherine Blondon ◽  
Frederic Ehrler

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.


2003 ◽  
Vol 43 (2) ◽  
pp. 248-258 ◽  
Author(s):  
Marilyn J. Rantz ◽  
Amy Vogelsmeier ◽  
Pam Manion ◽  
De Minner ◽  
Betty Markway ◽  
...  

2014 ◽  
Vol 21 (2) ◽  
pp. 217-224 ◽  
Author(s):  
Kristen M Krysko ◽  
Noah M Ivers ◽  
Jacqueline Young ◽  
Paul O’Connor ◽  
Karen Tu

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.


Author(s):  
Samarpita Dutta ◽  
Nirupam Madaam ◽  
Parmeshwar Kumar

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.


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

2016 ◽  
Vol 31 (S1) ◽  
pp. 36-45 ◽  
Author(s):  
Melissa M. Farmer ◽  
Lisa V. Rubenstein ◽  
Cathy D. Sherbourne ◽  
Alexis Huynh ◽  
Karen Chu ◽  
...  

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