scholarly journals 767 Harnessing Electronic Medical Records (eMR) for Benchmarking Quality of Care in Acute Coronary Syndrome and Beyond

2020 ◽  
Vol 29 ◽  
pp. S381-S382
Author(s):  
C. Tam ◽  
J. Gullick ◽  
A. Saavedra ◽  
S. Vernon ◽  
R. Morris ◽  
...  
2012 ◽  
Vol 30 (34_suppl) ◽  
pp. 129-129
Author(s):  
Gregory P. Hess

129 Background: Electronic medical records (EMRs) are being increasingly adopted in part driven by reports of their positive impact on patient’s quality of care. An underlying assumption is that data recorded will be relatively complete. As a field of primary importance, this study assessed the frequency with which cancer stage was recorded within an EMR data field during a historical and recent 12-month period. A random sample of records with missing stage was assessed to identify at a qualitative level reasons that stage may be omitted. Methods: Two datasets were constructed. The first comprised of oncology EMRs from 77 practices covering 476 sites of care across 34 states from 1/1/2000-12/31/2010. The second dataset from 58 practices covering 391 sites of care across 37 states. Inclusion criteria required patients to have a valid visit (i.e., not simply ‘scheduled’) and ≥ 1 diagnosis of a primary, malignant, neoplasm (except brain or spine). All data fields utilized to record stage (stage I, II, etc.) or from which stage could be reliably derived (T, M, N fields) were defined as "recorded." Practices were not required to exist in each dataset. Recorded stage by age, gender, state, and payer type was also assessed. Results: Reasons reported for absent stage within the data field included: consult visit only, written in the progress notes, text present in a scanned report, stage X (insufficient information), continuing treatment initiated elsewhere, and missing entry error. Conclusions: A significant proportion of cancer patients may not have stage recorded in the designated, searchable, data field within an EMR. The frequency of recorded stage is increasing over time. Reasons for unpopulated stage field(s) include use of nonsearchable text entries, scanned reports, and short episodes of care. Further research is needed to validate the observations in this study, determine root causes, and employ appropriate solutions. [Table: see text]


2015 ◽  
Vol 36 (3) ◽  
pp. 49-55
Author(s):  
Gláucia de Souza Omori Maier ◽  
Eleine Aparecida Penha Martins ◽  
Mara Solange Gomes Dellaroza

Objective: to assess quality indicators related to the pre-hospital time for patients with acute coronary syndrome.Method: collection took place at a tertiary hospital in Paraná between 2012 and 2013, through interviews and a medical record review. 94 patients participated, 52.1% male, 78.7% who were over 50 years old, 46.9% studied until the fourth grade, 60.6% were diagnosed with acute myocardial infarction.Results: the outcomes were the time between the onset of symptoms and the decision to seek help with an average of 1022min ± 343.13, door-to-door 805min ± 181.78; and reperfusion, 455min ± 364.8. The choice to seek out care within 60 min occurred in patients who were having a heart attack, and longer than 60 min in those with a history of heart attack or prior catheterization.Conclusion: We concluded that the pre-hospital indicators studied interfered with the quality of care.


Circulation ◽  
2009 ◽  
Vol 120 (7) ◽  
pp. 560-567 ◽  
Author(s):  
Emmanouil S. Brilakis ◽  
Adrian F. Hernandez ◽  
David Dai ◽  
Eric D. Peterson ◽  
Subhash Banerjee ◽  
...  

2007 ◽  
Vol 5 (3) ◽  
pp. 209-215 ◽  
Author(s):  
J. C. Crosson ◽  
P. A. Ohman-Strickland ◽  
K. A. Hahn ◽  
B. DiCicco-Bloom ◽  
E. Shaw ◽  
...  

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