Improved Identification of Venous Thromboembolism From Electronic Medical Records Using a Novel Information Extraction Software Platform

Dantes, Raymund; Zheng, Shuai; Lu, James; Beckman, Michele G.; Krishnaswamy, Asha; Richardson, Lisa C.; Chernetsky-Tejedor, Sheri; Wang, Fusheng

doi:10.1097/mlr.0000000000000831

Cited by 16 publications

(26 citation statements)

References 7 publications

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“…VTE results from the formation of a blood clot which may obstruct the blood flow locally (thus causing edema and pain) or may travel to distant sites causing local blood flow arrest (such as in pulmonary embolism). Dantes et al [ 34 ] attempted to identify from post-operative radiology reports the occurrence of VTE in patients who underwent various kinds of surgeries, including spine surgery.…”

Section: Resultsmentioning

confidence: 99%

“…A large proportion of papers used radiology reports. This is obvious for studies aiming at identifying imaging findings [ 18 ] and diagnose a specific condition [ 22 , 23 , 25 , 26 , 28 , 34 ], or at annotating images [ 35 , 36 ].…”

Section: Resultsmentioning

confidence: 99%

“…Other examples include operative notes, obviously used for the intra-operative tasks [ 31 – 34 ], and post-operative ones too [ 37 , 38 ]. Furthermore, the article from Karhade et al [ 38 ], compared different kinds of clinical notes, including discharge summaries [ 22 ], and physicians and nursing notes.…”

Section: Resultsmentioning

confidence: 99%

“…Another used algorithm was the Support Vector Machine (SVM), employed in [ 23 ] to identify clues of axSpA and in [ 24 ] both to directly identify axSpA and to extract a feature for a multimodal random forest. Furthermore, authors in [ 34 ] exploited IDEAL-X , a tool introduced in [ 40 ] which exploits the online ML paradigm, to identify VTE following orthopedic surgery.…”

Section: Resultsmentioning

confidence: 99%

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Natural language processing in low back pain and spine diseases: A systematic review

et al. 2022

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Natural Language Processing (NLP) is a discipline at the intersection between Computer Science (CS), Artificial Intelligence (AI), and Linguistics that leverages unstructured human-interpretable (natural) language text. In recent years, it gained momentum also in health-related applications and research. Although preliminary, studies concerning Low Back Pain (LBP) and other related spine disorders with relevant applications of NLP methodologies have been reported in the literature over the last few years. It motivated us to systematically review the literature comprised of two major public databases, PubMed and Scopus. To do so, we first formulated our research question following the PICO guidelines. Then, we followed a PRISMA-like protocol by performing a search query including terminologies of both technical (e.g., natural language and computational linguistics) and clinical (e.g., lumbar and spine surgery) domains. We collected 221 non-duplicated studies, 16 of which were eligible for our analysis. In this work, we present these studies divided into sub-categories, from both tasks and exploited models’ points of view. Furthermore, we report a detailed description of techniques used to extract and process textual features and the several evaluation metrics used to assess the performance of the NLP models. However, what is clear from our analysis is that additional studies on larger datasets are needed to better define the role of NLP in the care of patients with spinal disorders.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

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Natural language processing in low back pain and spine diseases: A systematic review

et al. 2022

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“…infections, cancers) conditions, which can only be identified or excluded with diagnostic imaging (33). In this respect, integration of clinical, laboratory and radiologic findings by means of information (expert) software systems was proven to be a reliable strategy for improving diagnostic efficiency and resources usage in different healthcare settings (34)(35)(36).…”

Section: Integrated Diagnostics In Venous Thromboembolismmentioning

confidence: 99%

Integrated diagnostics

Lippi

Plebani

2020

Biochem. med. (Online)

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The current scenario of in vitro and in vivo diagnostics can be summarized using the “silo metaphor”, where laboratory medicine, pathology and radiology are three conceptually separated diagnostic disciplines, which will increasingly share many comparable features. The substantial progresses in our understanding of biochemical-biological interplays that characterize many human diseases, coupled with extraordinary technical advances, are now generating important multidisciplinary convergences, leading the way to a new frontier, called integrated diagnostics. This new discipline, which is currently defined as convergence of imaging, pathology and laboratory tests with advanced information technology, has an enormous potential for revolutionizing diagnosis and therapeutic management of human diseases, including those causing the largest number of worldwide deaths (i.e. cardiovascular disease, cancer and infectious diseases). However, some important drawbacks should be overcome, mostly represented by insufficient information technology infrastructures, costs and enormous volume of different information that will be integrated and delivered. To overcome these hurdles, some specific strategies should be defined and implemented, such as planning major integration of exiting information systems or developing innovative ones, combining bioinformatics and imaging informatics, using health technology assessment for assessing cost and benefits, providing interpretative comments in integrated reports, developing and using expert systems and neural networks, overcoming cultural and political boundaries for generating multidisciplinary teams and integrated diagnostic algorithms.

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Racial differences in venous thromboembolism: A surveillance program in Durham County, North Carolina

Saber

Adamski

Kuchibhatla

et al. 2022

Research and Practice in Thrombosis and Haemostasis

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Background: Venous thromboembolism (VTE) affects approximately 1-2 individuals per 1000 annually and is associated with an increased risk for pulmonary hypertension, postthrombotic syndrome, and recurrent VTE. Objective: To determine risk factors, incidence, treatments, and outcomes of VTE through a 2-year surveillance program initiated in Durham County, North Carolina (population approximately 280,000 at time of study). Patients/Methods: We performed a retrospective analysis of data actively collected from three hospitals in Durham County during the surveillance period. Results: A total of 987 patients were diagnosed with VTE, for an annual rate of 1.76 per 1000 individuals. Hospital-associated VTE occurred in 167 hospitalized patients (16.9%) and 271 outpatients who were hospitalized within 90 days of diagnosis (27.5%). Annual incidence was 1.98 per 1000 Black individuals compared to 1.25 per 1000 White individuals (p < 0.0001), and Black individuals with VTE were youngerthan White individuals (p < 0.0001). Common risk factors included active cancer, prolonged immobility, and obesity, and approximately half were still taking anticoagulant therapy 1 year later. A total of 224 patients died by 1 year (28.5% of patients for whom outcomes could be confirmed), and Black patients were more likely to have recurrent VTE than White patients during the first 6 months following initial presentation (9.4% vs. 4.1%, p = 0.01). Conclusions:Ongoing surveillance provides an effective strategy to identify patients with VTE and monitor treatment and outcomes. We demonstrated that hospitalassociated VTE continues to be a major contributor to the burden of VTE and confirmed the higher incidence of VTE in Black compared to White individuals.

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Improved Identification of Venous Thromboembolism From Electronic Medical Records Using a Novel Information Extraction Software Platform

Abstract: IDEAL-X, a novel information extraction software system, identified VTE from radiology reports with high accuracy, with specificity surpassing AHRQ PSI-12. IDEAL-X could potentially improve detection and surveillance of many medical conditions from free text of electronic medical records.

Cited by 16 publications

References 7 publications

Natural language processing in low back pain and spine diseases: A systematic review

Natural language processing in low back pain and spine diseases: A systematic review

Integrated diagnostics

Racial differences in venous thromboembolism: A surveillance program in Durham County, North Carolina

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