Electronic Health Records

2012 ◽  
pp. 18-32
Author(s):  
Stacy Bourgeois ◽  
Ulku Yaylacicegi
Keyword(s):  
Patient Safety ◽  
Quality Of Care ◽  
Electronic Health Records ◽  
Surgical Procedures ◽  
Sufficient Evidence ◽  
Quality Performance ◽  
Health Records ◽  
American Hospital ◽  
The Relationship

Electronic health records (EHRs) have been proposed as a sustainable solution for improving the quality of medical care. This study investigates how EHR use, as implemented and utilized, impacts patient safety and quality performance. Data in this paper include nonfederal acute care hospitals in the state of Texas, and the data sources include the American Hospital Association, the Dallas Fort Worth Hospital Council, and the American Hospital Directory. The authors use partial least squares modeling to assess the relationship between hospital EHR use, patient safety, and quality of care. Patient safety is measured using 11 indicators as identified by the Agency for Healthcare Research and Quality (AHRQ) and quality performance is measured by 11 mortality indicators as related to 2 constructs, that is, conditions and surgical procedures. Results identify positive significant relationships between EHR use, patient safety, and quality of care with respect to procedures. The authors conclude that there is sufficient evidence of the relationship between hospital EHR use and patient safety, and that sufficient evidence exists for the support of EHR use with hospital surgical procedures.

Electronic Health Records

2010 ◽  
Vol 5 (3) ◽  
pp. 1-13 ◽  
Author(s):  
Stacy Bourgeois ◽  
Ulku Yaylacicegi
Keyword(s):  
Patient Safety ◽  
Quality Of Care ◽  
Electronic Health Records ◽  
Surgical Procedures ◽  
Sufficient Evidence ◽  
Quality Performance ◽  
Health Records ◽  
American Hospital ◽  
The Relationship

Electronic health records (EHRs) have been proposed as a sustainable solution for improving the quality of medical care. This study investigates how EHR use, as implemented and utilized, impacts patient safety and quality performance. Data in this paper include nonfederal acute care hospitals in the state of Texas, and the data sources include the American Hospital Association, the Dallas Fort Worth Hospital Council, and the American Hospital Directory. The authors use partial least squares modeling to assess the relationship between hospital EHR use, patient safety, and quality of care. Patient safety is measured using 11 indicators as identified by the Agency for Healthcare Research and Quality (AHRQ) and quality performance is measured by 11 mortality indicators as related to 2 constructs, that is, conditions and surgical procedures. Results identify positive significant relationships between EHR use, patient safety, and quality of care with respect to procedures. The authors conclude that there is sufficient evidence of the relationship between hospital EHR use and patient safety, and that sufficient evidence exists for the support of EHR use with hospital surgical procedures.

scholarly journals Clinician Perspectives on Electronic Health Records, Communication, and Patient Safety Across Diverse Medical Oncology Practices

2019 ◽  
Vol 15 (6) ◽  
pp. e529-e536 ◽  
Author(s):  
Minal R. Patel ◽  
Christopher R. Friese ◽  
Kari Mendelsohn-Victor ◽  
Alex J. Fauer ◽  
Bidisha Ghosh ◽  
...  
Keyword(s):  
Patient Safety ◽  
Electronic Health Records ◽  
Safety Culture ◽  
Care Quality ◽  
Clinical Practices ◽  
Seamless Integration ◽  
Health Records ◽  
Clinician Communication ◽  
Electronic Health

PURPOSE: We know little about how increased technological sophistication of clinical practices affects safety of chemotherapy delivery in the outpatient setting. This study investigated to what degree electronic health records (EHRs), satisfaction with technology, and quality of clinician-to-clinician communication enable a safety culture. METHODS: We measured actions consistent with a safety culture, satisfaction with practice technology, and quality of clinician communication using validated instruments among 297 oncology nurses and prescribers in a statewide collaborative. We constructed an index to reflect practice reliance on EHRs (1 = “all paper” to 5 = “all electronic”). Linear regression models (with robust SEs to account for clustering) examined relationships between independent variables of interest and safety. Models were adjusted for clinician age. RESULTS: The survey response rate was 68% (76% for nurses and 59% for prescribers). The mean (standard deviation) safety score was 5.3 (1.1), with a practice-level range of 4.9 to 5.4. Prescribers reported fewer safety actions than nurses. Higher satisfaction with technology and higher-quality clinician communication were significantly associated with increased safety actions, whereas increased reliance on EHRs was significantly associated with lower safety actions. CONCLUSION: Practices vary in their performance of patient safety actions. Supporting clinicians to integrate technology and strengthen communication are promising intervention targets. The inverse relationship between reliance on EHRs and safety suggests that technology may not facilitate clinicians’ ability to attend to patient safety. Efforts to improve cancer care quality should focus on more seamless integration of EHRs into routine care delivery and emphasize increasing the capacity of all care clinicians to communicate effectively and coordinate efforts when administering high-risk treatments in ambulatory settings.

Abstract 266: No Impact of Electronic Health Records on Quality of Care and Outcomes for Ischemic Stroke

2014 ◽  
Vol 7 (suppl_1) ◽  
Author(s):  
Karen E Joynt ◽  
Deepak L Bhatt ◽  
Lee H Schwamm ◽  
Ying Xian ◽  
Paul A Heidenreich ◽  
...  
Keyword(s):  
Ischemic Stroke ◽  
Length Of Stay ◽  
Electronic Health Records ◽  
Clinical Outcomes ◽  
Quality Care ◽  
Health Records ◽  
American Hospital ◽  
American Hospital Association ◽  
Electronic Health

Background: Electronic Health Records (EHRs) may be a key tool for improving the quality of healthcare. They may be particularly important for conditions such as ischemic stroke, in which guidelines are rapidly evolving and timely care of the patient is critical. Methods: We used data from 1,236 hospitals participating in Get With The Guidelines-Stroke, representing 626,473 ischemic strokes between 2007 and 2010, and linked this with the American Hospital Association annual survey to characterize which study hospitals had an EHR. We conducted regression analyses to determine whether hospitals with an EHR demonstrated better performance on quality metrics, length of stay, discharge to home, and mortality. Results: 511 hospitals had an EHR by the end of the study period. Stroke patients at hospitals with EHRs were younger, more often male and non-white, and had a lower burden of medical comorbidities. Hospitals with EHRs were larger, and more often teaching hospitals and stroke centers than hospitals without EHRs. In unadjusted analyses, patients at hospitals with EHRs were more likely to receive “all-or-none” care (87.9% versus 82.6%, p<0.001), and less likely to have a length of stay over 4 days (42.4% versus 43.9%, p<0.001). However, there were no differences in discharge to a site other than home (50.9% versus 51.1%, p=0.12) or in-hospital mortality (5.3% versus 5.2%, p=0.40). In multivariate analyses, after controlling for patient and hospital characteristics, the presence of an EHR was no longer associated with better quality care, and continued to have no association with clinical outcomes (Table). Conclusions: In our sample of GWTG-Stroke hospitals, EHRs were not associated with higher-quality care or better clinical outcomes. Given that these systems often create significant added burden for clinicians, further work to ensure that they are better integrated with care and fully evidence-driven is critical.

scholarly journals Electronic Health Records and Quality of Care

Medicine ◽  
2016 ◽  
Vol 95 (19) ◽  
pp. e3332 ◽  
Author(s):  
Swati Yanamadala ◽  
Doug Morrison ◽  
Catherine Curtin ◽  
Kathryn McDonald ◽  
Tina Hernandez-Boussard
Keyword(s):  
Quality Of Care ◽  
Electronic Health Records ◽  
Health Records ◽  
Electronic Health
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