Comprehensive Graphic-Based Display of Clinical Pathology Laboratory Data

Henry, John B.; Kelly, Karen C.

doi:10.1309/6he7kuyywnbacct7

Cited by 8 publications

(3 citation statements)

References 5 publications

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“…Suggested prognosis in 72.8% of samples with a confidence of 74.5%. Comprehensive graphic-based display of clinical pathology laboratory data [ 87 ] Information Sharing Established a graphic-based computerized system for display of clinical pathology data to permit improved data access and sharing. By displaying laboratory data in a graphical manner, designers aimed to create a user-friendly system meant to highlight pertinent trends necessary for decision management.…”

Section: The Need For Cdss For Precision Medicinementioning

confidence: 99%

Clinical decision support systems for improving diagnostic accuracy and achieving precision medicine

Castañeda¹,

Nalley²,

Mannion³

et al. 2015

J Clin Bioinform

299

138

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As research laboratories and clinics collaborate to achieve precision medicine, both communities are required to understand mandated electronic health/medical record (EHR/EMR) initiatives that will be fully implemented in all clinics in the United States by 2015. Stakeholders will need to evaluate current record keeping practices and optimize and standardize methodologies to capture nearly all information in digital format. Collaborative efforts from academic and industry sectors are crucial to achieving higher efficacy in patient care while minimizing costs. Currently existing digitized data and information are present in multiple formats and are largely unstructured. In the absence of a universally accepted management system, departments and institutions continue to generate silos of information. As a result, invaluable and newly discovered knowledge is difficult to access. To accelerate biomedical research and reduce healthcare costs, clinical and bioinformatics systems must employ common data elements to create structured annotation forms enabling laboratories and clinics to capture sharable data in real time. Conversion of these datasets to knowable information should be a routine institutionalized process. New scientific knowledge and clinical discoveries can be shared via integrated knowledge environments defined by flexible data models and extensive use of standards, ontologies, vocabularies, and thesauri. In the clinical setting, aggregated knowledge must be displayed in user-friendly formats so that physicians, non-technical laboratory personnel, nurses, data/research coordinators, and end-users can enter data, access information, and understand the output. The effort to connect astronomical numbers of data points, including ‘-omics’-based molecular data, individual genome sequences, experimental data, patient clinical phenotypes, and follow-up data is a monumental task. Roadblocks to this vision of integration and interoperability include ethical, legal, and logistical concerns. Ensuring data security and protection of patient rights while simultaneously facilitating standardization is paramount to maintaining public support. The capabilities of supercomputing need to be applied strategically. A standardized, methodological implementation must be applied to developed artificial intelligence systems with the ability to integrate data and information into clinically relevant knowledge. Ultimately, the integration of bioinformatics and clinical data in a clinical decision support system promises precision medicine and cost effective and personalized patient care.

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Section: The Need For Cdss For Precision Medicinementioning

confidence: 99%

Clinical decision support systems for improving diagnostic accuracy and achieving precision medicine

Castañeda¹,

Nalley²,

Mannion³

et al. 2015

J Clin Bioinform

299

138

View full text Add to dashboard Cite

show abstract

“…Experiments of using graphical representation of medical information have been conducted for improving patient education [6][7][8][9] and interpreting laboratory data [10,11]. Some clinically-relevant extremely complex information types, such as genetic and microbiome analyses are typically reported using graphic representation [12].…”

Section: Introductionmentioning

confidence: 99%

Visual assessment of the similarity between a patient and trial population

Cahan¹,

Cimino

2016

Appl Clin Inform

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“…[1–3] As the complexity of laboratory testing increases there is a growing need for well designed, intuitive reports that convey complex information to clinicians. Graphical trending of serial laboratory measures is well established in laboratory information systems and electronic medical records and its utility has been widely acknowledged;[4–6] however, additional graphical elements are being incorporated into both paper and electronic test result reports such as specimen photographs, karyotype images, flow cytometry plots, gel images, charts of ancillary information, links to outside web-based information, and even interactive calculators. [7–9] Although graphical reports have potential to convey information more effectively than standard text-based reports, studies have not measured how much clinicians value novel graphical features in laboratory reports.…”

Section: Introductionmentioning

confidence: 99%

Utilization and utility of clinical laboratory reports with graphical elements

Shirts

Larsen

Jackson

2012

Journal of Pathology Informatics

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Background:Graphical reports that contain charts, images, and tables have potential to convey information more effectively than text-based reports; however, studies have not measured how much clinicians value such features. We sought to identify factors that might influence the utilization of reports with graphical elements postulating that this is a surrogate for relative clinical utility of these graphical elements.Materials and Methods:We implemented a pilot project at ARUP laboratories to develop online enhanced laboratory test reports that contained graphical elements. We monitored on-demand clinician access to reports generated for 48 reportable tests over 22 months. We evaluated utilization of reports with graphical elements by clinicians at all institutions that use ARUP as a reference laboratory using descriptive statistics, regression, and meta-analysis tools to evaluate groups of similar test reports.Results:Median download rate by test was 8.6% with high heterogeneity in download rates between tests. Test reports with additional graphical elements were not necessarily downloaded more often than reports without these elements. Recently implemented tests and tests reporting abnormal results were associated with higher download rates (P < 0.01). Higher volume tests were associated with lower download rates (P = 0.03).Conclusions:In select cases graphical information may be clinically useful, particularly for less frequently ordered tests and in on reports of abnormal results. The utilization data presented could be used as a reference point for other laboratories planning on implementing graphical reporting. However, between-test heterogeneity was high and in many cases graphical elements may add little clinical utility, particularly if these merely reinforce information already contained in text based reports.

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Comprehensive Graphic-Based Display of Clinical Pathology Laboratory Data

Cited by 8 publications

References 5 publications

Clinical decision support systems for improving diagnostic accuracy and achieving precision medicine

Clinical decision support systems for improving diagnostic accuracy and achieving precision medicine

Visual assessment of the similarity between a patient and trial population

Utilization and utility of clinical laboratory reports with graphical elements

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