scholarly journals Extracting And Using Data From Electronic Medical Records (Emr) To Monitor Quality Of Care And Prescription Patterns For Diabetes Prevention And Control In Outpatient Clinics Of Low And Mid Resources Countries: The Case Of Colima, Mexico

2015 ◽  
Vol 18 (7) ◽  
pp. A811
Author(s):  
JE Hernández-Ávila ◽  
A Lara ◽  
E Morales-Carmona ◽  
EG Espinoza ◽  
P Anaya ◽  
...  
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]


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

10.28945/2896 ◽  
2005 ◽  
Author(s):  
David Meinert

While most industries have aggressively leveraged information technology (IT) to improve quality and reduce costs the healthcare sector has lagged behind. Electronic Medical Records (EMRs) hold great promise for improving quality of care yet widespread adoption is lacking. Physician acceptance is critical to widespread adoption of ambulatory EMRs, yet there is little independent research on physician perceptions. This paper attempts to address this void by reporting the results of a study of physician perceptions related to EMRs in a large, multi-specialty clinic. Physician perceptions of select EMR functions and general attitudes and beliefs are reported. While the importance and anticipated utilization of EMR functions varied, nearly 80 percent of the respondents felt an EMR should be implemented. The findings have implications for both vendors attempting to design and market EMR systems and physician executives and practice managers seeking to solicit support for EMR adoption and/or develop a successful implementation strategy.


2018 ◽  
Vol 24 (2) ◽  
pp. 75-79 ◽  
Author(s):  
Augusto Estrada ◽  
Nicole W. Tsao ◽  
Alyssa Howren ◽  
John M. Esdaile ◽  
Kamran Shojania ◽  
...  

Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 908-P
Author(s):  
SOSTENES MISTRO ◽  
THALITA V.O. AGUIAR ◽  
VANESSA V. CERQUEIRA ◽  
KELLE O. SILVA ◽  
JOSÉ A. LOUZADO ◽  
...  

2020 ◽  
Vol 41 (S1) ◽  
pp. s70-s70
Author(s):  
Lauren Weil ◽  
Alexa Limeres ◽  
Astha KC ◽  
Carissa Holmes ◽  
Tara Holiday ◽  
...  

Background: When healthcare providers lack infection prevention and control (IPC) knowledge and skills, patient safety and quality of care can suffer. For this reason, state laws sometimes dictate IPC training; these requirements can be expressed as applying to various categories of healthcare personnel (HCP). We performed a preliminary assessment of the laws requiring IPC training across the United States. Methods: During February–July 2018, we searched WestlawNext, a legal database, for IPC training laws in 51 jurisdictions (50 states and Washington, DC). We used standard legal epidemiology methods, including an iterative search strategy to minimize results that were outside the scope of the coding criteria by reviewing results and refining search terms. A law was defined as a regulation or statute. Laws that include IPC training for healthcare personnel were collected for coding. Laws were coded to reflect applicable HCP categories and specific IPC training content areas. Results: A total of 278 laws requiring IPC training for HCP were identified (range, 1–19 per jurisdiction); 157 (56%) did not specify IPC training content areas. Among the 121 (44%) laws that did specify IPC content, 39 (32%) included training requirements that focused solely on worker protections (eg, sharps injury prevention and bloodborne pathogen protections for the healthcare provider). Among the 51 jurisdictions, dental professionals were the predominant targets: dental hygienists (n = 22; 43%), dentists (n = 20; 39%), and dental assistants (n = 18; 35%). The number of jurisdictions with laws requiring training for other HCP categories included the following: nursing assistants (n = 25; 49%), massage therapists (n = 11; 22%), registered nurses (n = 10; 20%), licensed practical nurses (n = 10; 20%), emergency medical technicians and paramedics (n = 9; 18%), dialysis technicians (n = 8; 18%), home health aides (n = 8;16%), nurse midwives (n = 7; 14%), pharmacy technicians (n = 7; 14%), pharmacists (n = 6; 12%), physician assistants (n = 4; 8%), podiatrists (n = 3; 6%), and physicians (n = 2; 4%). Conclusions: Although all jurisdictions had at least 1 healthcare personnel IPC training requirement, many of the laws lack specificity and some focus only on worker protections, rather than patient safety or quality of care. In addition, the categories of healthcare personnel regulated among jurisdictions varied widely, with dental professionals having the most training requirements. Additional IPC training requirements exist at the facility level, but this information was not analyzed as a part of this project. Further analysis is needed to inform our assessment and identify opportunities for improving IPC training requirements, such as requiring IPC training that more fully addresses patient protections.Funding: NoneDisclosures: None


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