Electronic clinical laboratory test results data tables: lessons from Mini‐Sentinel. (18th February 2014)
- Record Type:
- Journal Article
- Title:
- Electronic clinical laboratory test results data tables: lessons from Mini‐Sentinel. (18th February 2014)
- Main Title:
- Electronic clinical laboratory test results data tables: lessons from Mini‐Sentinel
- Authors:
- Raebel, Marsha A.
Haynes, Kevin
Woodworth, Tiffany S.
Saylor, Gwyn
Cavagnaro, Elizabeth
Coughlin, Kara O.
Curtis, Lesley H.
Weiner, Mark G.
Archdeacon, Patrick
Brown, Jeffrey S. - Abstract:
- <abstract abstract-type="main"> <title>ABSTRACT</title> <sec id="pds3580-sec-0001" sec-type="section"> <title>Purpose</title> <p>Developing electronic clinical data into a common data model posed substantial challenges unique from those encountered with administrative data. We present here the design, implementation, and use of the Mini‐Sentinel Distributed Database laboratory results table (LRT).</p> </sec> <sec id="pds3580-sec-0002" sec-type="section"> <title>Methods</title> <p>We developed the LRT and guided Mini‐Sentinel data partners (DPs) in populating it from their source data. Data sources included electronic health records and internal and contracted clinical laboratory systems databases. We employed the Logical Observation Identifiers, Names, and Codes (LOINC®) results reporting standards. We evaluated transformed results data using data checks and an iterative, ongoing characterization and harmonization process.</p> </sec> <sec id="pds3580-sec-0003" sec-type="section"> <title>Results</title> <p>Key LRT variables included test name, subcategory, specimen source, LOINC, patient location, specimen date and time, result unit, and unique person identifier. Selected blood and urine chemistry, hematology, coagulation, and influenza tests were included. Twelve DPs with outpatient test results participated; four also contributed inpatient test results. As of September 2013, the LRT included 385, 516, 239 laboratory test results; data are refreshed at least quarterly. LOINC<abstract abstract-type="main"> <title>ABSTRACT</title> <sec id="pds3580-sec-0001" sec-type="section"> <title>Purpose</title> <p>Developing electronic clinical data into a common data model posed substantial challenges unique from those encountered with administrative data. We present here the design, implementation, and use of the Mini‐Sentinel Distributed Database laboratory results table (LRT).</p> </sec> <sec id="pds3580-sec-0002" sec-type="section"> <title>Methods</title> <p>We developed the LRT and guided Mini‐Sentinel data partners (DPs) in populating it from their source data. Data sources included electronic health records and internal and contracted clinical laboratory systems databases. We employed the Logical Observation Identifiers, Names, and Codes (LOINC®) results reporting standards. We evaluated transformed results data using data checks and an iterative, ongoing characterization and harmonization process.</p> </sec> <sec id="pds3580-sec-0003" sec-type="section"> <title>Results</title> <p>Key LRT variables included test name, subcategory, specimen source, LOINC, patient location, specimen date and time, result unit, and unique person identifier. Selected blood and urine chemistry, hematology, coagulation, and influenza tests were included. Twelve DPs with outpatient test results participated; four also contributed inpatient test results. As of September 2013, the LRT included 385, 516, 239 laboratory test results; data are refreshed at least quarterly. LOINC availability and use varied across DP. Multiple data quality and content issues were identified and addressed.</p> </sec> <sec id="pds3580-sec-0004" sec-type="section"> <title>Conclusion</title> <p>Developing the LRT brought together disparate data sources with no common coding structure. Clinical laboratory test results obtained during routine healthcare delivery are neither uniformly coded nor documented in a standardized manner. Applying a systematic approach with data harmonization efforts and ongoing oversight and management is necessary for a clinical laboratory results data table to remain valid and useful. Copyright © 2014 John Wiley &amp; Sons, Ltd.</p> </sec> </abstract> … (more)
- Is Part Of:
- Pharmacoepidemiology and drug safety. Volume 23:Number 6(2014:Jun.)
- Journal:
- Pharmacoepidemiology and drug safety
- Issue:
- Volume 23:Number 6(2014:Jun.)
- Issue Display:
- Volume 23, Issue 6 (2014)
- Year:
- 2014
- Volume:
- 23
- Issue:
- 6
- Issue Sort Value:
- 2014-0023-0006-0000
- Page Start:
- 609
- Page End:
- 618
- Publication Date:
- 2014-02-18
- Subjects:
- Pharmacoepidemiology -- Periodicals
Chemotherapy -- Periodicals
Epidemiology -- Periodicals
615.705 - Journal URLs:
- http://onlinelibrary.wiley.com/ ↗
- DOI:
- 10.1002/pds.3580 ↗
- Languages:
- English
- ISSNs:
- 1053-8569
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6446.248000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 3905.xml