A Natural Language Processing Tool for Large-Scale Data Extraction from Echocardiography Reports.

Large volumes of data are continuously generated from clinical notes and diagnostic studies catalogued in electronic health records (EHRs). Echocardiography is one of the most commonly ordered diagnostic tests in cardiology. This study sought to explore the feasibility and reliability of using natural language processing (NLP) for large-scale and targeted extraction of multiple data elements from echocardiography reports. An NLP tool, EchoInfer, was developed to automatically extract data pertaining to cardiovascular structure and function from heterogeneously formatted echocardiographic data sources. EchoInfer was applied to echocardiography reports (2004 to 2013) available from 3 different on-going clinical research projects. EchoInfer analyzed 15,116 echocardiography reports from 1684 patients, and extracted 59 quantitative and 21 qualitative data elements per report. EchoInfer achieved a precision of 94.06%, a recall of 92.21%, and an F1-score of 93.12% across all 80 data elements in 50 reports. Physician review of 400 reports demonstrated that EchoInfer achieved a recall of 92-99.9% and a precision of >97% in four data elements, including three quantitative and one qualitative data element. Failure of EchoInfer to correctly identify or reject reported parameters was primarily related to non-standardized reporting of echocardiography data. EchoInfer provides a powerful and reliable NLP-based approach for the large-scale, targeted extraction of information from heterogeneous data sources. The use of EchoInfer may have implications for the clinical management and research analysis of patients undergoing echocardiographic evaluation.

Website Sharing in Online Health Communities: A Descriptive Analysis.

BACKGROUND: An increasing number of people visit online health communities to seek health information. In these communities, people share experiences and information with others, often complemented with links to different websites. Understanding how people share websites can help us understand patients' needs in online health communities and improve how peer patients share health information online. OBJECTIVE: Our goal was to understand (1) what kinds of websites are shared, (2) information quality of the shared websites, (3) who shares websites, (4) community differences in website-sharing behavior, and (5) the contexts in which patients share websites. We aimed to find practical applications and implications of website-sharing practices in online health communities. METHODS: We used regular expressions to extract URLs from 10 WebMD online health communities. We then categorized the URLs based on their top-level domains. We counted the number of trust codes (eg, accredited agencies' formal evaluation and PubMed authors' institutions) for each website to assess information quality. We used descriptive statistics to determine website-sharing activities. To understand the context of the URL being discussed, we conducted a simple random selection of 5 threads that contained at least one post with URLs from each community. Gathering all other posts in these threads resulted in 387 posts for open coding analysis with the goal of understanding motivations and situations in which website sharing occurred. RESULTS: We extracted a total of 25,448 websites. The majority of the shared websites were .com (59.16%, 15,056/25,448) and WebMD internal (23.2%, 5905/25,448) websites; the least shared websites were social media websites (0.15%, 39/25,448). High-posting community members and moderators posted more websites with trust codes than low-posting community members did. The heart disease community had the highest percentage of websites containing trust codes compared to other communities. Members used websites to disseminate information, supportive evidence, resources for social support, and other ways to communicate. CONCLUSIONS: Online health communities can be used as important health care information resources for patients and caregivers. Our findings inform patients' health information-sharing activities. This information assists health care providers, informaticians, and online health information entrepreneurs and developers in helping patients and caregivers make informed choices.

Agile text mining for the 2014 i2b2/UTHealth Cardiac risk factors challenge.

This paper describes the use of an agile text mining platform (Linguamatics' Interactive Information Extraction Platform, I2E) to extract document-level cardiac risk factors in patient records as defined in the i2b2/UTHealth 2014 challenge. The approach uses a data-driven rule-based methodology with the addition of a simple supervised classifier. We demonstrate that agile text mining allows for rapid optimization of extraction strategies, while post-processing can leverage annotation guidelines, corpus statistics and logic inferred from the gold standard data. We also show how data imbalance in a training set affects performance. Evaluation of this approach on the test data gave an F-Score of 91.7%, one percent behind the top performing system.

An automated approach for ranking journals to help in clinician decision support.

Point of care access to knowledge from full text journal articles supports decision-making and decreases medical errors. However, it is an overwhelming task to search through full text journal articles and find quality information needed by clinicians. We developed a method to rate journals for a given clinical topic, Congestive Heart Failure (CHF). Our method enables filtering of journals and ranking of journal articles based on source journal in relation to CHF. We also obtained a journal priority score, which automatically rates any journal based on its importance to CHF. Comparing our ranking with data gathered by surveying 169 cardiologists, who publish on CHF, our best Multiple Linear Regression model showed a correlation of 0.880, based on five-fold cross validation. Our ranking system can be extended to other clinical topics.

Composite treatment for primary long-bone hydatidosis.

Hydatid disease is a parasitic tapeworm infection caused by the Echinococcus species. Involvement of the long tubular bones is rare in hydatid bone disease. Patients are initially asymptomatic and usually present at a later stage of the disease when the bony lesions are extensive. Diagnosing bone hydatid disease is challenging, even in endemic regions, and a high index of suspicion is required because the radiologic findings often mimic other bone pathologies. Recurrence following treatment can occur after a long period of quiescence.This article describes a case of hydatid disease in a 62-year-old woman with extensive diaphyseal tibial involvement. She was treated with initial chemotherapy followed by extended curettage, polymethylmethacrylate cementation, and intramedullary fixation. Functional outcome was excellent, with no recurrence at 60-month follow-up. She was fully weight bearing with no pain or discomfort and had full hip, knee, and ankle range of motion.This case was important due to its rarity, the diagnostic challenge it presented, and the composite nature of the treatment used to avoid recurrence. Diaphyseal bone hydatidosis can be initially treated like a low-grade malignant tumor with curettage and high-speed burring, followed by filling the defect with polymethylmethacrylate cement. The composite treatment of chemotherapy with the surgical protocol described offers a reasonable chance of long-term disease suppression. Recurrent disease can be treated with repeat curettage and cementation. Wide excision with reconstruction of the resulting defect should only be considered for recalcitrant diaphyseal hydatid disease.

What is the role of autologous blood transfusion in major spine surgery?

Major spine surgery is associated with significant blood loss, which has numerous complications. Blood loss is therefore an important concern when undertaking any major spine surgery. Blood loss can be addressed by reducing intraoperative blood loss and replenishing perioperative blood loss. Reducing intraoperative blood loss helps maintain hemodynamic equilibrium and provides a clearer operative field during surgery. Homologous blood transfusion is still the mainstay for replenishing blood loss in major spine surgery across the world, despite its known adverse effects. These significant adverse effects can be seen in up to 20% of patients. Autologous blood transfusion avoids the risks associated with homologous blood transfusion and has been shown to be cost-effective. This article reviews the different methods of autologous transfusion and focuses on the use of intraoperative cell salvage in major spine surgery. Autologous blood transfusion is a proven alternative to homologous transfusion in major spine surgery, avoiding most, if not all of these adverse effects. However, autologous blood transfusion rates in major spine surgery remain low across the world. Autologous blood transfusion may obviate the need for homologous transfusion completely. We encourage spine surgeons to consider autologous blood transfusion wherever feasible.

Harvesting the free fibular graft: A modified approach.

BACKGROUND: The conventional technique of free non-vascularized fibular grafting is attended with some amount of morbidity and a long scar. We report a technique with little interference to the surrounding soft tissues to harvest more than one-third of whole length fibula. PATIENTS AND METHODS: Thirty four patients of average age 23.5 years (range 8 to 51 years) having various pathologies like simple bone cysts (n=9), fibrous dysplasias (n=6), giant cell tumors (n=7), fracture non-union (n=10) and aneurysmal bone cysts (n=2) were taken up for the study. The fibula were harvested by two separate incisions, 1 cm each at proximal and distal extent of proposed donor site for taking out of graft after elevating the periosteum circumferentially using a periosteum stripper. Compression bandage and above knee plaster immobilization was applied to reduce the dead space collection. RESULTS: The mean followup is 34 months. The patients were evaluated clinicoradiology. Thirty three patients showed good results. One patient had fair result due to delayed wound healing from hematoma which was treated surgically. CONCLUSION: The approach of harvesting fibula suggested by author reduces donor site morbidity and is safer than conventional approach.

Modified Boytchev procedure for the treatment of recurrent anterior dislocation of the shoulder.

From January 1990 to December 1998, 48 patients with 50 recurrent anterior dislocations of the shoulder were treated using a modified Boytchev procedure. The age of the patients varied from 18 to 35 years (average 24.7 years). The follow-up period was in average 88 (26-132) months. Six patients were lost in follow-up. Forty-two shoulders showed excellent results. There was one traction injury of the musculocutaneous nerve and one patient with immediate recurrence of the dislocation. Superficial wound infection occurred in five cases, all of which were controlled by antibiotics.