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Citations 1 - 20 of 36
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1.

"Identifying unproven cancer treatments on the health web: addressing accuracy, generalizability and scalability"

Aphinyanaphongs, Yin; Fu, Lawrence D; Aliferis, Constantin F
STUDIES IN HEALTH TECHNOLOGY & INFORMATICS.  2013 ;192:667-671
MEDL:23920640  #484192  Click here for full text  

GRANTS:1UL1RR029893/RR/NCRR NIH HHS/United States

Building machine learning models that identify unproven cancer treatments on the Health Web is a promising approach for dealing with the dissemination of false and dangerous information to vulnerable health consumers. Aside from the obvious requirement of accuracy, two issues are of practical importance in deploying these models in real world applications. (a) Generalizability: The models must generalize to all treatments (not just the ones used in the training of the models). (b) Scalability: The models can be applied efficiently to billions of documents on the Health Web. First, we provide methods and related empirical data demonstrating strong accuracy and generalizability. Second, by combining the MapReduce distributed architecture and high dimensionality compression via Markov Boundary feature selection, we show how to scale the application of the models to WWW-scale corpora. The present work provides evidence that (a) a very small subset of unproven cancer treatments is sufficient to build a model to identify unproven treatments on the web; (b) unproven treatments use distinct language to market their claims and this language is learnable; (c) through distributed parallelization and state of the art feature selection, it is possible to prepare the corpora and build and apply models with large scalability..


2.

"Patient-tailored workflow patterns from clinical practice guidelines recommendations"

Sacchi, Lucia; Fux, Adi; Napolitano, Carlo; Panzarasa, Silvia; Peleg, Mor; Quaglini, Silvana; Shalom, Erez; Soffer, Pnina; Tormene, Paolo
STUDIES IN HEALTH TECHNOLOGY & INFORMATICS.  2013 ;192:392-396
MEDL:23920583  #877702  Click here for full text  

MobiGuide is a project devoted to the development of a patient-centric decision support system based on computerized clinical guidelines for chronic illnesses including Atrial Fibrillation (AF). In this paper we describe the process of (1) identifying guideline recommendations that will require patients to take actions (e.g., take measurement, take drug), thus impacting patients' daily-life behavior, (2) eliciting from the medical experts the corresponding set of personalized operationalized advices that are not explicitly written in the guideline (patient-tailored workflow patterns) and (3) delivering this advice to patients. The analysis of the AF guideline has resulted in four types of patient-tailored workflow patterns: therapy-related advisors, measurements advisors, suggestions for dealing with interventions that may require modulating patient therapy, and personalized packages for close monitoring of patients. We will show how these patterns can be generated using information stored in a patient health record that embeds clinical data and data about the patient's personal context and preferences..


3.

"Analyzing the "CareGap": assessing gaps in adherence to clinical guidelines in adult soft tissue sarcoma"

Waks, Zeev; Goldbraich, Esther; Farkash, Ariel; Torresani, Michele; Bertulli, Rossella; Restifo, Nicola; Locatelli, Paolo; Casali, Paolo; Carmeli, Boaz
STUDIES IN HEALTH TECHNOLOGY & INFORMATICS.  2013 ;186:46-50
MEDL:23542965  #973122  Click here for full text  

Clinical decision support systems (CDSSs) are gaining popularity as tools that assist physicians in optimizing medical care. These systems typically comply with evidence-based medicine and are designed with input from domain experts. Nonetheless, deviations from CDSS recommendations are abundant across a broad spectrum of disorders, raising the question as to why this phenomenon exists. Here, we analyze this gap in adherence to a clinical guidelines-based CDSS by examining the physician treatment decisions for 1329 adult soft tissue sarcoma patients in northern Italy using patient-specific parameters. Dubbing this analysis "CareGap", we find that deviations correlate strongly with certain disease features such as local versus metastatic clinical presentation. We also notice that deviations from the guideline-based CDSS suggestions occur more frequently for patients with shorter survival time. Such observations can direct physicians' attention to distinct patient cohorts that are prone to higher deviation levels from clinical practice guidelines. This illustrates the value of CareGap analysis in assessing quality of care for subsets of patients within a larger pathology..


4.

"Evicase: an evidence-based case structuring approach for personalized healthcare"

Carmeli, Boaz; Casali, Paolo; Goldbraich, Anna; Goldsteen, Abigail; Kent, Carmel; Licitra, Lisa; Locatelli, Paolo; Restifo, Nicola; Rinott, Ruty; Sini, Elena; Torresani, Michele; Waks, Zeev
STUDIES IN HEALTH TECHNOLOGY & INFORMATICS.  2012 ;180:604-608
MEDL:22874262  #973022  Click here for full text  10.3233/978-1-61499-101-4-604

The personalized medicine era stresses a growing need to combine evidence-based medicine with case based reasoning in order to improve the care process. To address this need we suggest a framework to generate multi-tiered statistical structures we call Evicases. Evicase integrates established medical evidence together with patient cases from the bedside. It then uses machine learning algorithms to produce statistical results and aggregators, weighted predictions, and appropriate recommendations. Designed as a stand-alone structure, Evicase can be used for a range of decision support applications including guideline adherence monitoring and personalized prognostic predictions..


5.

"Step-based cognitive virtual surgery simulation: an innovative approach to surgical education"

Oliker, Aaron; Napier, Zachary; Deluccia, Nicolette; Qualter, John; Sculli, Frank; Smith, Brandon; Stern, Carrie; Flores, Roberto; Hazen, Alexes; McCarthy, Joseph
STUDIES IN HEALTH TECHNOLOGY & INFORMATICS.  2012 ;173:325-327
MEDL:22357011  #157489  Click here for full text  

BioDigital Systems, LLC in collaboration with New York University Langone Medical Center Department of Reconstructive Plastic Surgery has created a complex, real-time, step-based simulation platform for plastic surgery education. These simulators combine live surgical footage, interactive 3D visualization, text labels, and voiceover as well as a high-yield, expert-approved testing mode to create a comprehensive virtual educational environment for the plastic surgery resident or physician..


6.

"The BioDigital Human: A Web-based 3D Platform for Medical Visualization and Education"

Qualter, John; Sculli, Frank; Oliker, Aaron; Napier, Zachary; Lee, Sabrina; Garcia, Julio; Frenkel, Sally; Harnik, Victoria; Triola, Marc
STUDIES IN HEALTH TECHNOLOGY & INFORMATICS.  2012 ;173:359-361
MEDL:22357018  #157490  Click here for full text  

NYU School of Medicine's Division of Educational Informatics in collaboration with BioDigital Systems LLC (New York, NY) has created a virtual human body dataset that is being used for visualization, education and training and is accessible over modern web browsers..


7.

"Automatic detection of inconsistencies between free text and coded data in Sarcoma discharge letters"

Rinott, Ruty; Torresani, Michele; Bertulli, Rossella; Goldsteen, Abigail; Casali, Paolo; Carmeli, Boaz; Slonim, Noam
STUDIES IN HEALTH TECHNOLOGY & INFORMATICS.  2012 ;180:661-666
MEDL:22874274  #973032  Click here for full text  10.3233/978-1-61499-101-4-661

Discordance between data stored in Electronic Health Records (EHR) may have a harmful effect on patient care. Automatic identification of such situations is an important yet challenging task, especially when the discordance involves information stored in free text fields. Here we present a method to automatically detect inconsistencies between data stored in free text and related coded fields. Using EHR data we train an ensemble of classifiers to predict the value of coded fields from the free text fields. Cases in which the classifiers predict with high confidence a code different from the clinicians' choice are marked as potential inconsistencies. Experimental results over discharge letters of sarcoma patients, verified by a domain expert, demonstrate the validity of our method..


8.

"CARDIO-i2b2: integrating arrhythmogenic disease data in i2b2"

Segagni, Daniele; Tibollo, Valentina; Dagliati, Arianna; Napolitano, Carlo; G Priori, Silvia; Bellazzi, Riccardo
STUDIES IN HEALTH TECHNOLOGY & INFORMATICS.  2012 ;180:1126-1128
MEDL:22874375  #877722  Click here for full text  10.3233/978-1-61499-101-4-1126

The CARDIO-i2b2 project is an initiative to customize the i2b2 bioinformatics tool with the aim to integrate clinical and research data in order to support translational research in cardiology. In this work we describe the implementation and the customization of i2b2 to manage the data of arrhytmogenic disease patients collected at the Fondazione Salvatore Maugeri of Pavia in a joint project with the NYU Langone Medical Center (New York, USA). The i2b2 clinical research chart data warehouse is populated with the data obtained by the research database called TRIAD. The research infrastructure is extended by the development of new plug-ins for the i2b2 web client application able to properly select and export phenotypic data and to perform data analysis..


9.

"Integration of surgical simulation in plastic surgery residency training"

Stern, Carrie; Oliker, Aaron; Napier, Zachary; Qualter, John; Deluccia, Nicolette; Sculli, Frank; Long, Sarah; Rosen, Joe; Hazen, Alexes
STUDIES IN HEALTH TECHNOLOGY & INFORMATICS.  2012 ;173:497-499
MEDL:22357043  #157491  Click here for full text  

BioDigital Systems, LLC in collaboration with New York University Langone Medical Center Department of Reconstructive Plastic Surgery has created an interactive, step-based latissimus musculocutaneous flap simulator. Preliminary testing of fourteen residents (PGY1-6) demonstrates that simulator training results in significant improvement in an objective assessment of surgical knowledge (p < 0.0006, pre-training score: 81.0%, post-training score 92.7%). This study is the first in the field of plastic and reconstructive surgery to demonstrate objective improvement in surgical knowledge as a result of simulator training, suggesting the potential effectiveness of simulators for a panopoly of breast reconstruction options..


10.

"A decision fusion strategy for polyp detection in capsule endoscopy"

Zhao, Qian; Dassopoulos, Themistocles; Mullin, Gerard E; Meng, Max Q-H; Kumar, Rajesh
STUDIES IN HEALTH TECHNOLOGY & INFORMATICS.  2012 ;173:559-565
MEDL:22357058  #927172  Click here for full text  

Wireless capsule endoscopy (CE) is now routinely used for non-invasive diagnosis of small bowel diseases. But, it still requires manual assessment of the approximately 50,000 study images. Literature has recently investigated automated methods to detect and analyze various anomalies in CE images to improve reading efficiency and reduce variability. We propose such a computer aided diagnosis (CAD) approach to detect small bowel polyps. For supervised classification of polyps, we investigated fusing multiple statistical classifiers based on color, texture and edge features. The combined boosted classifier when evaluated using 1200 CE images outperformed all individual classifiers and achieved a ~90% classification accuracy..


11.

"Sociotechnical evaluation of a clinical transformation project in a specialized cancer care centre"

Bishop, Margaret; Barnett, Jeff; Vlachaki, Maria T; Pai, Howard
STUDIES IN HEALTH TECHNOLOGY & INFORMATICS.  2011 ;164:89-93
MEDL:21335693  #653912  Click here for full text  

The radiation therapy (RT) department at the British Columbia Cancer Agency - Vancouver Island Centre (VIC) is responsible for delivering radiation treatments to cancer patients from Vancouver Island, which has a population base of approximately 750,000. The purpose of this analysis is to examine a process transformation project undertaken by a VIC clinical champion using a sociotechnical approach and identify factors that influenced the project outcome. Beginning in January 2009, a radiation oncologist at VIC initiated a project to transform the clinical process of generating prescriptions for radiation therapy. The project objective was to replace the paper-based process for radiation therapy (RT) prescriptions with an electronic process to achieve benefits such as increased legibility, accuracy, and accessibility of prescriptions. The electronic prescription (e-Rx) process was designed and developed by health informatics students from the University of Victoria, and the new process was trialed and implemented for approximately half of the new patients seen by the VIC RT department. This pilot implementation was brought to a halt two weeks later, due to concerns raised by the RT department. Using a sociotechnical approach, the authors identify several factors that negatively impacted the project's successful implementation: lack of leadership endorsement and organizational strategy, insufficient formal and informal organizational power of the clinical champion, underestimation of complexity, and inadequate management of the implementation process. Although these factors have been well documented in the literature for large-scale system implementation projects, understanding the way by which they influence smaller-scale process transformation projects in highly specialized clinical settings may help future project managers and coordinators to set such projects up for success..


12.

"The ONCO-I2b2 project: integrating biobank information and clinical data to support translational research in oncology"

Segagni, Daniele; Tibollo, Valentina; Dagliati, Arianna; Perinati, Leonardo; Zambelli, Alberto; Priori, Silvia; Bellazzi, Riccardo
STUDIES IN HEALTH TECHNOLOGY & INFORMATICS.  2011 ;169:887-891
MEDL:21893874  #141649  Click here for full text  10.3233/978-1-60750-806-9-887

The University of Pavia and the IRCCS Fondazione Salvatore Maugeri of Pavia (FSM), has recently started an IT initiative to support clinical research in oncology, called ONCO-i2b2. ONCO-i2b2, funded by the Lombardia region, grounds on the software developed by the Informatics for Integrating Biology and the Bedside (i2b2) NIH project. Using i2b2 and new software modules purposely designed, data coming from multiple sources are integrated and jointly queried. The core of the integration process stands in retrieving and merging data from the biobank management software and from the FSM hospital information system. The integration process is based on a ontology of the problem domain and on open-source software integration modules. A Natural Language Processing module has been implemented, too. This module automatically extracts clinical information of oncology patients from unstructured medical records. The system currently manages more than two thousands patients and will be further implemented and improved in the next two years.


13.

"Economic analysis of centralized vs. decentralized electronic data capture in multi-center clinical studies"

Walden, Anita; Nahm, Meredith; Barnett, M Edwina; Conde, Jose G; Dent, Andrew; Fadiel, Ahmed; Perry, Theresa; Tolk, Chris; Tcheng, James E; Eisenstein, Eric L
STUDIES IN HEALTH TECHNOLOGY & INFORMATICS.  2011 ;164:82-88
MEDL:21335692  #166065  Click here for full text  

GRANTS:UL1 TR000436/TR/NCATS NIH HHS/United States

BACKGROUND: New data management models are emerging in multi-center clinical studies. We evaluated the incremental costs associated with decentralized vs. centralized models. METHODS: We developed clinical research network economic models to evaluate three data management models: centralized, decentralized with local software, and decentralized with shared database. Descriptive information from three clinical research studies served as inputs for these models. MAIN OUTCOME MEASURES: The primary outcome was total data management costs. Secondary outcomes included: data management costs for sites, local data centers, and central coordinating centers. RESULTS: Both decentralized models were more costly than the centralized model for each clinical research study: the decentralized with local software model was the most expensive. Decreasing the number of local data centers and case book pages reduced cost differentials between models. CONCLUSION: Decentralized vs. centralized data management in multi-center clinical research studies is associated with increases in data management costs..


14.

"Factors affecting distal end & global decompensation in coronal/sagittal planes 2 years after fusion"

Miller, Daniel J; Jameel, Omar; Matsumoto, Hiroko; Hyman, Joshua E; Schwab, Frank J; Roye, David P Jr; Vitale, Michael G
STUDIES IN HEALTH TECHNOLOGY & INFORMATICS.  2010 ;158:141-146
MEDL:20543414  #115897  Click here for full text  10.3233/978-1-60750-573-0-141

INTRODUCTION: Decompensation of un-fused vertebrae is a potential complication of spinal instrumentation performed for adolescent idiopathic scoliosis (AIS). This can result in problems requiring revision surgery. The purpose of this study was to compare patients who decompensated in the sagittal/coronal plane and those who do not and to identify risk factors. METHODS: The Spinal Deformity Study Group data-base for AIS identified 908 patients at 2 years post-op. Coronal measures analyzed included coronal balance (CB), coronal position of the lower instrumented vertebra (CPL) and LIV tilt angle (LTA). Sagittal measures included sagittal balance (SB) and distal-junctional kyphosis (DJK). The incidence of decompensation at 2 years was: CB-16.83%, LTA-37.53%, CPL-21.17%, negative SB-51.88%, positive SB-7.62%, DJK-6.8%. Decompensated patients were compared to those who were not using preoperative, and 4-16 weeks post-op values. RESULTS: Numerous significant differences were found between patients who decompensated at 2 years and those who did not. CB was significantly influenced by larger height/weight, increased Cobb, preexisting CB and a thoracic LIV. In addition to other factors LTA decompensation was more likely to occur in JIS. CPL was associated with pelvic-obliquity and thoracic LIV. Post-operative sagittal balance could be predicted by pre-operative sagittal balance. DJK was also associated with larger weight and preoperative sagittal measures. DISCUSSION AND CONCLUSION: Less correction in sagittal/coronal planes is a risk factor for decompensation. Curve correction was significant in predicting coronal decompensation. Failure to control sagittal alignment was a risk factor in sagittal decompensation.


15.

"Real-time complex cognitive surgical simulator with testing"

Oliker, Aaron; Cutting, Court B
STUDIES IN HEALTH TECHNOLOGY & INFORMATICS.  2009 ;142:239-243
MEDL:19377158  #101869  Click here for full text  10.3233/978-1-58603-964-6-239

One of the greatest challenges facing surgical education is the inability to effectively test a surgeon's cognitive knowledge of a complex open surgery procedure. Cognitive knowledge is tested by paper, and more recently, computer-based and oral exams. Although these tools are used for testing in surgical education, they have been limited by providing a two-dimensional static representation of complex and dynamic, three-dimensional procedures.A three-dimensional interactive surgical simulator that will engage the surgeon, ask questions, test competency and provide feedback has the potential to revolutionize surgical education. Internet connectivity allows for rapid deployment of surgical modules, networked testing formats, data aggregation, comparative analysis and guided tutorials. Combined with the approval of a surgical society, this platform has the potential to set measurable quantitative surgical standards.


16.

"Visualizing treatment options for breast reconstructive surgery"

Qualter, John; Fana, Melissa; Deluccia, Nicolette; Colen, Kari; Scharf, Carrie; Hazen, Alexes
STUDIES IN HEALTH TECHNOLOGY & INFORMATICS.  2009 ;142:262-264
MEDL:19377163  #100513  Click here for full text  10.3233/978-1-58603-964-6-262

We propose that high-fidelity animations enhanced with real-time 3d interactivity, that demonstrate various breast reconstruction procedures will assist in a patient's decision-making process. These computer based modules will in no way replace a consultation with the physician; instead they will be added to the armamentarium of patient education.


17.

"Local flaps: a real-time finite element based solution to the plastic surgery defect puzzle"

Sifakis, Eftychios; Hellrung, Jeffrey; Teran, Joseph; Oliker, Aaron; Cutting, Court
STUDIES IN HEALTH TECHNOLOGY & INFORMATICS.  2009 ;142:313-318
MEDL:19377176  #135019  Click here for full text  10.3233/978-1-58603-964-6-313

One of the most fundamental challenges in plastic surgery is the alteration of the geometry and topology of the skin. The specific decisions made by the surgeon concerning the size and shape of the tissue to be removed and the subsequent closure of the resulting wound may have a dramatic affect on the quality of life for the patient after the procedure is completed. The plastic surgeon must look at the defect created as an organic puzzle, designing the optimal pattern to close the hole aesthetically and efficiently. In the past, such skills were the distillation of years of hands-on practice on live patients, while relevant reference material was limited to two-dimensional illustrations. Practicing this procedure on a personal computer [1] has been largely impractical to date, but recent technological advances may come to challenge this limitation. We present a comprehensive real-time virtual surgical environment, based on finite element modeling and simulation of tissue cutting and manipulation. Our system demonstrates the fundamental building blocks of plastic surgery procedures on a localized tissue flap, and provides a proof of concept for larger simulation systems usable in the authoring of complex procedures on elaborate subject geometry.


18.

"The behaviour of fatigue-induced microdamage in compact bone samples from control and ovariectomised sheep"

Kennedy, Oran D; Brennan, Orlaith; Mauer, Peter; O'Brien, Fergal J; Rackard, Susan M; Taylor, David; Lee, T Clive
STUDIES IN HEALTH TECHNOLOGY & INFORMATICS.  2008 ;133:148-155
MEDL:18376023  #199582  Click here for full text  

This study investigates the effect of microdamage on bone quality in osteoporosis using an ovariectomised (OVX) sheep model of osteoporosis. Thirty-four sheep were divided into an OVX group (n=16) and a control group (n=18). Fluorochromes were administered intravenously at 3 monthly intervals after surgery to label bone turnover. After sacrifice, beams were removed from the metatarsal and tested in three-point bending. Following failure, microcracks were identified and quantified in terms of region, location and interaction with osteons. Number of cycles to failure (Nf) was lower in the OVX group relative to controls by approximately 7%. Crack density (CrDn) was higher in the OVX group compared to controls. CrDn was 2.5 and 3.5 times greater in the compressive region compared to tensile in control and OVX bone respectively. Combined results from both groups showed that 91% of cracks remained in interstitial bone, approximately 8% of cracks penetrated unlabelled osteons and less than 1% penetrated into labelled osteons. All cases of labelled osteon penetration occurred in controls. Crack surface density (CrSDn), was 25% higher in the control group compared to OVX. It is known that crack behaviour on meeting microstructural features such as osteons will depend on crack length. We have shown that osteon age also affects crack propagation. Long cracks penetrated unlabelled osteons but not labelled ones. Some cracks in the control group did penetrate labelled osteons. This may be due the fact that control bone is more highly mineralized. CrSDn was increased by 25% in the control group compared to OVX. Further study of these fracture mechanisms will help determine the effect of microdamage on bone quality and how this contributes to bone fragility..


19.

"Objective structured clinical interview training using a virtual human patient"

Parsons, Thomas D; Kenny, Patrick; Ntuen, Celestine A; Pataki, Caroly S; Pato, Michele T; Rizzo, Albert A; St-George, Cheryl; Sugar, Jeffery
STUDIES IN HEALTH TECHNOLOGY & INFORMATICS.  2008 ;132:357-362
MEDL:18391321  #941642  Click here for full text  

Effective interview skills are a core competency for psychiatry residents and developing psychotherapists. Although schools commonly make use of standardized patients to teach interview skills, the diversity of the scenarios standardized patients can characterize is limited by availability of human actors. Further, there is the economic concern related to the time and money needed to train standardized patients. Perhaps most damaging is the "standardization" of standardized patients -- will they in fact consistently proffer psychometrically reliable and valid interactions with the training clinicians. Virtual Human Agent (VHA) technology has evolved to a point where researchers may begin developing mental health applications that make use of virtual reality patients. The work presented here is a preliminary attempt at what we believe to be a large application area. Herein we describe an ongoing study of our virtual patients (VP). We present an approach that allows novice mental health clinicians to conduct an interview with a virtual character that emulates an adolescent male with conduct disorder. This study illustrates the ways in which a variety of core research components developed at the University of Southern California facilitates the rapid development of mental health applications..


20.

"Text categorization models for identifying unproven cancer treatments on the web"

Aphinyanaphongs, Yin; Aliferis, Constantin
STUDIES IN HEALTH TECHNOLOGY & INFORMATICS.  2007 ;129(Pt 2):968-972
MEDL:17911859  #106405  Click here for full text  

GRANTS:LM007948-01/LM/NLM NIH HHS/United States;LM007948-02/LM/NLM NIH HHS/United States

The nature of the internet as a non-peer-reviewed (and largely unregulated) publication medium has allowed wide-spread promotion of inaccurate and unproven medical claims in unprecedented scale. Patients with conditions that are not currently fully treatable are particularly susceptible to unproven and dangerous promises about miracle treatments. In extreme cases, fatal adverse outcomes have been documented. Most commonly, the cost is financial, psychological, and delayed application of imperfect but proven scientific modalities. To help protect patients, who may be desperately ill and thus prone to exploitation, we explored the use of machine learning techniques to identify web pages that make unproven claims. This feasibility study shows that the resulting models can identify web pages that make unproven claims in a fully automatic manner, and substantially better than previous web tools and state-of-the-art search engine technology.