Web-Based Electronic Health Records Improve Data Completeness and Reduce Medical Discrepancies in Employee Vaccination Programs

Salazar, M.L Torres; Stinson, Kaylan E.; Sillau, Stefan; Good, Linda K.; Newman, Lee S.

doi:10.1086/663205

Cited by 3 publications

(2 citation statements)

References 9 publications

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“…EHRs can serve as a technological checklist for clinical reasoning, as Salazar et al also states [16]. Although this might not improve the outcomes on clinical conditions, [17] it might help prevent mistakes in the clinical process and increase safety as a relation was found between clinical incidents and poor reporting [18].…”

Section: Discussionmentioning

confidence: 99%

Data extraction from electronic health records (EHRs) for quality measurement of the physical therapy process: comparison between EHR data and survey data

Scholte

Dulmen

Steen³

et al. 2016

BMC Med Inform Decis Mak

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BackgroundWith the emergence of the electronic health records (EHRs) as a pervasive healthcare information technology, new opportunities and challenges for use of clinical data for quality measurements arise with respect to data quality, data availability and comparability. The objective of this study is to test whether data extracted from electronic health records (EHRs) was of comparable quality as survey data for the calculation of quality indicators.MethodsData from surveys describing patient cases and filled out by physiotherapists in 2009-2010 were used to calculate scores on eight quality indicators (QIs) to measure the quality of physiotherapy care. In 2011, data was extracted directly from EHRs. The data collection methods were evaluated for comparability. EHR data was compared to survey data on completeness and correctness.ResultsFive of the eight QIs could be extracted from the EHRs. Three were omitted from the indicator set, as they proved too difficult to be extracted from the EHRs. Another QI proved incomparable due to errors in the extraction software of some of the EHRs. Three out of four comparable QIs performed better (p < 0.001) in EHR data on completeness. EHR data also proved to be correct; the relative change in indicator scores between EHR and survey data were small (<5 %) in three out of four QIs.ConclusionData quality of EHRs was sufficient to be used for the calculation of QIs, although comparability to survey data was problematic. Standardization is needed, not only to be able to compare different data collection methods properly, but also to compare between practices with different EHRs. EHRs have the option to administrate narrative data, but natural language processing tools are needed to quantify these text boxes. Such development, can narrow the comparability gap between scoring QIs based on EHR data and based on survey data.EHRs have the potential to provide real time feedback to professionals and quality measurements for research, but more effort is needed to create unambiguous and uniform information and to unlock written text in a standardized manner.Electronic supplementary materialThe online version of this article (doi:10.1186/s12911-016-0382-4) contains supplementary material, which is available to authorized users.

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Section: Discussionmentioning

confidence: 99%

Data extraction from electronic health records (EHRs) for quality measurement of the physical therapy process: comparison between EHR data and survey data

Scholte

Dulmen

Steen³

et al. 2016

BMC Med Inform Decis Mak

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“…Electronic health record data are increasingly being used for public health surveillance. 6,7 Our findings offer insights for designing emerging disease surveillance systems, and they highlight the importance of periodic validation by those collecting data for reporting.…”

Section: Discussionmentioning

confidence: 82%

Hospital coronavirus disease 2019 (COVID-19) public health reporting: Lessons from validation of an automated surveillance tool to facilitate data collection

Gamage

Evans

McCauley

et al. 2022

Infect. Control Hosp. Epidemiol.

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Patients' contribution to the development of a web-based plan for integrated care – a participatory design study

Bjerkan

Hedlund

Hellesø

2014

Informatics for Health and Social Care

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Web-Based Electronic Health Records Improve Data Completeness and Reduce Medical Discrepancies in Employee Vaccination Programs

Cited by 3 publications

References 9 publications

Data extraction from electronic health records (EHRs) for quality measurement of the physical therapy process: comparison between EHR data and survey data

Data extraction from electronic health records (EHRs) for quality measurement of the physical therapy process: comparison between EHR data and survey data

Hospital coronavirus disease 2019 (COVID-19) public health reporting: Lessons from validation of an automated surveillance tool to facilitate data collection

Patients' contribution to the development of a web-based plan for integrated care – a participatory design study

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