The Benefits and Challenges of an Interfaced Electronic Health Record and Laboratory Information System: Effects on Laboratory Processes

Petrides, Athena K.; Bixho, Ida; Goonan, Ellen M.; Bates, David W.; Shaykevich, Shimon; Lipsitz, Stuart R.; Landman, Adam B.; Tanasijevic, Milenko J.; Melanson, Stacy E.F.

doi:10.5858/arpa.2016-0146-oa

Cited by 24 publications

(13 citation statements)

References 24 publications

(22 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A typical electronic patient identification process involves the phlebotomist scanning the patient's barcoded wristband and printing a matching label that is then attached to the tube at the patient's bedside. However, few studies have examined the safety benefits and limitations of using electronic patient identification at the time of phlebotomy . This study sought to compare WBIT rates between sites using any electronic patient identification versus sites using manual patient identification.…”

mentioning

confidence: 99%

“…However, few studies have examined the safety benefits and limitations of using electronic patient identification at the time of phlebotomy. 2,13 This study sought to compare WBIT rates between sites using any electronic patient identification versus sites using manual patient identification. We also investigated the need to discard samples with minor labeling errors due to the possible increased risk of these samples containing a WBIT error.…”

mentioning

confidence: 99%

See 1 more Smart Citation

Electronic patient identification for sample labeling reduces wrong blood in tube errors

et al. 2018

View full text Add to dashboard Cite

BACKGROUND Wrong blood in tube (WBIT) errors are a preventable cause of ABO‐mismatched RBC transfusions. Electronic patient identification systems (e.g., scanning a patient's wristband barcode before pretransfusion sample collection) are thought to reduce WBIT errors, but the effectiveness of these systems is unclear. STUDY DESIGN AND METHODS Part 1: Using retrospective data, we compared pretransfusion sample WBIT rates at hospitals using manual patient identification (n = 16 sites; >1.6 million samples) with WBIT rates at hospitals using electronic patient identification for some or all sample collections (n = 4 sites; >0.5 million samples). Also, we compared WBIT rates after implementation of electronic patient identification with preimplementation WBIT rates. Causes and frequencies of WBIT errors were evaluated at each site. Part 2: Transfusion service laboratories (n = 18) prospectively typed mislabeled (rejected) samples (n = 2844) to determine WBIT rates among samples with minor labeling errors. RESULTS Part 1: The overall unadjusted WBIT rate at sites using manual patient identification was 1:10,110 versus 1:35,806 for sites using electronic identification (p < 0.0001). Correcting for repeat samples and silent WBIT errors yielded overall adjusted WBIT rates of 1:3046 for sites using manual identification and 1:14,606 for sites using electronic identification (p < 0.0001), with wide variation among individual sites. Part 2: The unadjusted WBIT rate among mislabeled (rejected) samples was 1:71 (adjusted WBIT rate, 1:28). CONCLUSION In this study, using electronic patient identification at the time of pretransfusion sample collection was associated with approximately fivefold fewer WBIT errors compared with using manual patient identification. WBIT rates were high among mislabeled (rejected) samples, confirming that rejecting samples with even minor labeling errors helps mitigate the risk of ABO‐incompatible transfusions.

show abstract

mentioning

confidence: 99%

mentioning

confidence: 99%

Electronic patient identification for sample labeling reduces wrong blood in tube errors

et al. 2018

View full text Add to dashboard Cite

show abstract

“…Common functions of LIS are shown in (Table 1) with summary of aspects of improvement in safety [10]. [11]. Integrated LIS with EHR showed threefold improvement of speed of lab test ordering as compared with non-integrated systems [12].…”

Section: Lis Improves Quality and Safetymentioning

confidence: 99%

How Laboratory Information System Improves Patient Safety

Jastania¹

2019

AJLM

View full text Add to dashboard Cite

One of the major principles in healthcare is patient safety. Any intervention in healthcare should be safe, regardless of its benefits. The implementation of laboratory information system (LIS) has a multidimensional effect on the healthcare system. LIS plays a role in medical informatics, consumer informatic and translational bioinformatics. Nevertheless, implementation of LIS impacts patient safety in many different aspects. The aim of this paper is to investigate how patient safety can be improved by laboratory information system. The author conducted this review by searching PubMed, Google Scholar, and the World Wide Web (reports, blogs, news) for articles published in English on the following keywords were searched: laboratory information system, patient safety, and quality. We found that there is a broad framework of dimensions to evaluate LIS. The framework is based on two concepts: brain-to-brain loop process, and HOT-fit dimensions. The brain-to-brain loop process can be divided into five phases: 1) pre-test, 2) pre-analytic, 3) analytic, 4) post-analytic and 5) post-test phases. In each phase, LIS provides functions to facilitate performing different tasks. In the HOT-fit model, there are three broad dimensions that need to be analyzed and considered in LIS. These are: 1) Human dimension, 2) Organizational dimensions, and 3) Technology dimensions. LIS plays a critical role in patient safety in the components of this framework. We concluded that Implementation of LIS has certainly a multidimensional impact on patient safety in different aspects on informatics. This includes LIS roles in three field of health informatics: medical informatics, consumer informatics and translational bioinformatics. LIS can integrate these fields to provide safer healthcare.

show abstract

“…We used the Epic Systems (Verona, Wisconsin) electronic health care record, the Sunquest Information Systems (Tucson, Arizona) LIS in the CP laboratory, and Cerner PathNet (Cerner, North Kansas City, Missouri) to support anatomic pathology and reference laboratory interface. Although the benefits of an interfaced electronic health care record have been recently described, 16 managing all of those interfaces on a daily basis became a burden for the technical support teams involved. A key takeaway from this experience would be to unify the electronic medical record and the LIS as much as possible in the beginning stages to avoid potential technical and operational pitfalls down the line.…”

Section: Laboratory Information System and Information Technologymentioning

confidence: 99%

Establishing a Clinical Laboratory in a Tertiary/Quaternary Care Greenfield Hospital in the Middle East: Recounting the Cleveland Clinic Abu Dhabi Experience

Mirza¹,

AbdelWareth²,

Liaqat

et al. 2018

Archives of Pathology &Amp; Laboratory Medicine

View full text Add to dashboard Cite

- To deliver on the promise of quality healthcare in a culturally appropriate setting close to home, Cleveland Clinic Abu Dhabi proved to be an unprecedented and ambitious project, jointly carried out by Mubadala Investment Corporation and the Cleveland Clinic Foundation. Cognizant of the scale of this task, hospital leadership engaged closely with staff and stakeholders through motivational techniques and effective communication. Excellent project planning and execution of complex tasks were required for initiation of services. Establishing the clinical laboratory served as an instructive model in fostering multidisciplinary teamwork by highlighting ways to manage operational roadblocks and opportunities in the planning, commissioning, and activation phases. Throughout the activation process, all efforts were directed to create a patient-safety culture within an intentional-learning organization.

show abstract

The Benefits and Challenges of an Interfaced Electronic Health Record and Laboratory Information System: Effects on Laboratory Processes

Cited by 24 publications

References 24 publications

Electronic patient identification for sample labeling reduces wrong blood in tube errors

Electronic patient identification for sample labeling reduces wrong blood in tube errors

How Laboratory Information System Improves Patient Safety

Establishing a Clinical Laboratory in a Tertiary/Quaternary Care Greenfield Hospital in the Middle East: Recounting the Cleveland Clinic Abu Dhabi Experience

Contact Info

Product

Resources

About