The DOI matches its Crossref record; the references it cites are not checked yet.
The role of laboratory information systems in healthcare quality improvement
Abstract
Purpose The purpose of this study was to evaluate the status of US hospital Laboratory Information Systems. Laboratory Information Systems are critical to high quality healthcare service provision. Data show that the need for these systems is growing to meet accompanying technological and workload demands. Additionally, laboratory tests provide the majority of information for clinical decision-making. Laboratory processes automation, including patient result verification, has greatly improved laboratory test throughput while decreasing turn-around-times, enabling critical results to reach physicians rapidly for improved clinical outcomes. Design/methodology/approach Data were drawn from the 2007 Healthcare Information and Management Systems Society (HIMSS) Analytics Database, which includes over 5,000 US healthcare organizations and provides extensive data on the hardware, software, and information technology infrastructure within healthcare organizations. Findings US hospitals are actively involved in laboratory systems planning to improve health service quality. Specifically, data show 76 new laboratory information systems are currently being installed in 2007 with another 399 under contract for future installation. As a result, increasing investment in laboratory information systems is providing state-of-the-art clinical laboratory support, which enhances clinical care processes and improves quality. These state-of-the-art Laboratory Information Systems, when linked with o…
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Information on the impact of laboratory information systems on outcomes is also fragmentary, although the use of such systems within the National Peruvian Tuberculosis Programme was associated with significant reductions in reporting errors and delays.”
From Impacts of e-health on the outcomes of care in low- and middle-income countries: where do we go from here? (2012) · cites this paper as [25]
Citations
The citation lists haven’t been fetched yet
References 27 · Cited by 40
Research works printed but not linked: 32
- 2006, Federal funding, Health Management Technology, 27, 8
- Bates, 2001, Reducing the frequency of errors in medicine using information technology, Journal of the American Informatics Association, 8, 299, 10.1136/jamia.2001.0080299 · DOI · Paper page
- Bates, 2003, Detecting adverse events using information technology, Journal of the American Informatics Association., 10, 115, 10.1197/jamia.M1074 · DOI
- Berman, 2006, Automation alert: ‘Is total lab automation delivering on its promise?, Advance for Medical Laboratory Professionals, 18, 9
- Briggs, 2004, Hospitals bring medical devices into the IT loop, Health Data Management, 12, 46
- Crane, 2006, Preventing medication errors in hospitals through a systems approach and technological innovation: a prescription for 2010, Hospital Topics, 84, 3, 10.3200/HTPS.84.4.3-8 · DOI
- D'Archangelo, 2006, Interlinking processes and procedures: new guideline for development and control of lab documents, Medical Laboratory Observer, 38, 28
- D'Archangelo, 2006, Following the rules: CLSI auto 10-A document provides a pathway to increased quality and efficiency, Advance for Medical Laboratory Professionals, 18, 23
- Fowler, 2005, The clinical laboratory practitioner, Clinical Laboratory Science, 18, 199
- Harrison, 2005, A profile of US hospital mergers, Journal of Health Care Finance, 31, 13
- Harrison, 2006, The role of clinical information systems in health care quality improvement, The Health Care Manager, 25, 206, 10.1097/00126450-200607000-00003 · DOI
- Harrison, 2003, A profile of hospital acquisitions/practitioner application, Journal of Healthcare Management, 48, 156, 10.1097/00115514-200305000-00005 · DOI
- Haugh, 2006, The demand for more exacting test results-fast!-reformulates HOSPITAL LABS, Hospitals & Health Networks, 80, 46
- Herrin, 2006, A pledge of safety: how one laboratory automated its specimen collection process to increase productivity, streamline workflow and improve patient care, Advance for Administrators of the Laboratory, 15, 42
- IOM (Institute of Medicine) (2000), To Err Is Human: Building a Safer Health System, National Academy Press, Washington, DC.
- IOM (Institute of Medicine) (2001), Crossing the Quality Chasm: A New Health System for the 21st Century, National Academy Press, Washington, DC.
- Khatri, 2006, Building IT capability in health-care organizations, Health Services Management Research, 19, 73, 10.1258/095148406776829095 · DOI
- Lau, 2006, Constructing a successful POCT interface, Advance For Administrators of the Laboratory, 15, 50
- McNeely, 2006, Computer-assisted laboratory test ordering and interpretation, Lab Medicine, 37, 623, 10.1309/XL91DJ2D8QPQJ8VY · DOI
- Menachemi, N. , Burke, D. and Clawson, A. et al. (2005), “Information technologies in rural hospitals: does system affiliation matter?”, Journal of Rural Health, Vol. 21, pp. 263-8. · DOI
- Menachemi, N. , Burkhardt, J. and Shewchuk, R. et al. (2006), “Hospital information and financial performance: a different approach to finding an ROI”, Journal of Healthcare Management, Vol. 51, pp. 40-58. · DOI
- Mick, S. and Wyttenbach, M. (2003), Advances in Health Care Organization Theory, Jossey-Bass Publishing Company, San Francisco, CA. · DOI
- Nevalainen, D. (2000), Evaluating laboratory performance on quality indicators with the Six Sigma Scale, Archives of Pathology and Laboratory Medicine, five pages. Retrieved on September 4, available at: www.findarticles.com/p/articles/mi_qa3725/is200004/ai_n8902251. · DOI
- Niland, 2006, An informatics blueprint for healthcare quality information systems, Journal of the American Medical Informatics Association, 13, 402, 10.1197/jamia.M2050 · DOI
- Pope, 2006, Implementing EHRs requires a shift in thinking, Health Management Technology, 27, 24
- Runy, 2005, Clinical decision support: putting patient information at clinician's fingertips, Hospitals & Health Networks, 4, 20
- Singh, 2005, Disease management and the national health information network: the emerging nexus, Health Management Technology, 26, 36
- Stille, 2005, Coordinating care across diseases, settings, and clinicians: a key role for the generalist in practice, Annals of Internal Medicine, 142, 700, 10.7326/0003-4819-142-8-200504190-00038 · DOI
- Uettwiller-Geiger, 2005, A lab's strategy to reduce errors depends on automation, Medical Laboratory Observer, 37, 26
- Wagar, E.A. , Tamashiro, L., Yasin, B., Hilborne, L. and Bruckner, D.A. (2006), “Patient safety in the clinical laboratory: a longitudinal analysis of specimen identification errors”, Archives of Laboratory Medicine, Vol. 130, pp. 1662-8. · DOI
- Weiner, 2006, Quality improvement implementation and hospital performance on quality indicators, Health Services Research, 41, 307, 10.1111/j.1475-6773.2005.00483.x · DOI
- Winsten, 2006, The LIS to LBMS evolution, Advance for Administrators of the Laboratory, 15, 54
Metadata
- Authors
- Harrison, J. P., & McDowell, G. M.
- Affiliations
- University of North Florida (US)
- St. Vincent's Medical Center (US)
- Venue
- International Journal of Health Care Quality Assurance
- Publisher
- Emerald
- Published
- 2008-10-03
- Volume
- 21
- Issue
- 7
- Pages
- 679-691
- ISSN
- 0952-6862 (ISSN-L)
- 1758-6542
- OpenAlex
- W2057193449
- Cited by
- 40
- References
- 27
- Citations by year
- 2026: 2 · 2024: 3 · 2023: 4 · 2022: 3 · 2021: 1 · 2020: 1 · 2019: 3 · 2018: 2 · 2017: 6 · 2016: 4 · 2015: 1 · 2014: 1 · 2013: 2 · 2012: 1
- FWCI
- 4.40
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- International Journal of Health Care Quality Assurance (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
- Health Sciences › Health Professions › Medical Laboratory Technology › Clinical Laboratory Practices and Quality Control
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Healthcare Quality and Management
- Keywords
- laboratory information systems, healthcare quality improvement, hospital laboratory, laboratory automation, laboratory turnaround time, clinical decision-making, computerized physician order entry, electronic health records, clinical laboratory information systems, United States hospitals
- MeSH terms
- Clinical Laboratory Information Systems, Humans, Quality Assurance, Health Care, United States, Medical Errors, Quality Indicators, Health Care, Medical Order Entry Systems
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: The role of laboratory information systems in healthcare quality improvement. https://app.cochat.ai/papers/10.1108/09526860810910159
- The paper
- Harrison, J. P., & McDowell, G. M. (2008). The role of laboratory information systems in healthcare quality improvement. International Journal of Health Care Quality Assurance. https://doi.org/10.1108/09526860810910159
