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international conference of the ieee engineering in medicine and biology society | 2007

TimeLine: Visualizing Integrated Patient Records

Alex A. T. Bui; Denise R. Aberle; Hooshang Kangarloo

An increasing amount of data is now accrued in medical information systems; however, the organization of this data is still primarily driven by data source, and does not support the cognitive processes of physicians. As such, new methods to visualize patient medical records are becoming imperative in order to assist physicians with clinical tasks and medical decision-making. The TimeLine system is a problem-centric temporal visualization for medical data: information contained with medical records is reorganized around medical disease entities and conditions. Automatic construction of the TimeLine display from existing clinical repositories occurs in three steps: 1. data access, which uses an extensible Markup Language (XML) data representation to handle distributed, heterogeneous medical databases; 2. data mapping and reorganization, reformulating data into hierarchical, problem-centric views; and 3. data visualization, which renders the display to a target presentation platform. Leveraging past work, we describe the latter two components of the TimeLine system in this paper, and the issues surrounding the creation of medical problems lists and temporal visualization of medical data. A driving factor in the development of TimeLine was creating a foundation upon which new data types and the visualization metaphors could be readily incorporated.


Academic Radiology | 2002

Evidence-based radiology: Requirements for electronic access

Alex A. T. Bui; Ricky K. Taira; John David N. Dionisio; Denise R. Aberle; Suzie El-Saden; Hooshang Kangarloo

RATIONALE AND OBJECTIVES The purpose of this study was to determine the electronic requirements for supporting evidence-based radiology in todays medical environment. MATERIALS AND METHODS A software engineering technique, use case modeling, was performed for several clinical settings to determine the use of imaging and its role in evidence-based practice, with particular attention to issues relating to data access and the usage of clinical information. From this basic understanding, the analysis was extended to encompass evidence-based radiologic research and teaching. RESULTS The analysis showed that a system supporting evidence-based radiology must (a) provide a single point of access to multiple clinical data sources so that patient data can be readily used and incorporated into comprehensive radiologic consults and (b) provide quick access to external evidence in the way of similar patient cases and published medical literature, thus supporting evidence-based practice. CONCLUSION Information infrastructures that aim to support evidence-based radiology not only must address issues related to the integration of clinical data from heterogeneous databases, but must facilitate access and filtering of patient data in order to improve radiologic consultation.


Laryngoscope | 1992

Metastatic head and neck malignancy treated using MRI guided interstitial laser phototherapy: An initial case report

Dan J. Castro; Robert B. Lufkin; Romaine E. Saxton; Anthony Nyerges; Jacques Soudant; Lester J. Layfield; Bradley A. Jabour; Paul H. Ward; Hooshang Kangarloo

Interstitial laser phototherapy (ILP) guided by magnetic resonance imaging (MRI) may become an attractive adjunctive modality for the treatment of deep and surgically inaccessible tumors of the head and neck when accurate methods of laser dosimetry and “real‐time” monitoring techniques with the MRI are introduced. We recently demonstrated in ex vivo and in vivo models, a linear relationship between levels of laser energies, thermal profiles, MR signal intensity changes, and histopathological tissue damage. Results of treatment in a patient with an unresectable large right jugulodigastric metastatic squamous carcinoma using new approach of MRI guided ILP are now reported. The patient complained of significant right‐sided neck pain and headaches secondary to a rapidly growing metastatic lymphadenopathy which recurred after previous surgery, radiation, and chemotherapy. Two treatment sessions were used at an interval of 2 weeks. Each treatment was performed in the MRI suite under heavy sedation. Using a 600‐μm bare fiber of the Nd:YAG laser implanted interstitially under MR guidance, the metastatic node was treated at three sites. T1‐ and T2‐weighted images were performed prior to, immediately after, 24 and 48 hours, and 4, 5, 7, 9, 16, and 25 days post‐treatment. Successful relief of pain and growth arrest of this node was observed after the second treatment and at the 3‐month follow‐up. These results demonstrate that this technique of ILP guided by MRI may be feasible in humans, and will become clinically practical when appropriate methods of dosimetry and instrumentation are developed.


international conference of the ieee engineering in medicine and biology society | 2012

Context-Based Electronic Health Record: Toward Patient Specific Healthcare

William Hsu; Ricky K. Taira; Suzie El-Saden; Hooshang Kangarloo; Alex A. T. Bui

Due to the increasingly data-intensive clinical environment, physicians now have unprecedented access to detailed clinical information from a multitude of sources. However, applying this information to guide medical decisions for a specific patient case remains challenging. One issue is related to presenting information to the practitioner: displaying a large (irrelevant) amount of information often leads to information overload. Next-generation interfaces for the electronic health record (EHR) should not only make patient data easily searchable and accessible, but also synthesize fragments of evidence documented in the entire record to understand the etiology of a disease and its clinical manifestation in individual patients. In this paper, we describe our efforts toward creating a context-based EHR, which employs biomedical ontologies and (graphical) disease models as sources of domain knowledge to identify relevant parts of the record to display. We hypothesize that knowledge (e.g., variables, relationships) from these sources can be used to standardize, annotate, and contextualize information from the patient record, improving access to relevant parts of the record and informing medical decision making. To achieve this goal, we describe a framework that aggregates and extracts findings and attributes from free-text clinical reports, maps findings to concepts in available knowledge sources, and generates a tailored presentation of the record based on the information needs of the user. We have implemented this framework in a system called Adaptive EHR, demonstrating its capabilities to present and synthesize information from neurooncology patients. This paper highlights the challenges and potential applications of leveraging disease models to improve the access, integration, and interpretation of clinical patient data.


Computerized Medical Imaging and Graphics | 1993

Implementation of a large-scale picture archiving and communication system

H. K. Huang; Ricky K. Taira; Shyh Liang Lou; Albert W. K. Wong; Claudine M. Breant; Bruce Kuo Ting Ho; Keh-Shih Chuang; Brent K. Stewart; Katherine P. Andriole; Raymond Harvey Tecotzky; Todd M. Bazzill; Sandy L. Eldredge; James Tagawa; Zoran L. Barbaric; M. Ines Boechat; Theodore R. Hall; John R. Bentson; Hooshang Kangarloo

This paper describes the implementation of a large-scale picture archiving and communication system (PACS) in a clinical environment. The system consists of a PACS infrastructure, composed of a PACS controller, a database management system, communication networks, and optical disk archive. It connects to three MR units, four CT scanners, three computed radiography systems, and two laser film digitizers. Seven display stations are on line 24 h/day, 7 days/wk in genitourinary radiology (2K), pediatric radiology in-patient (1K and 2K) and outpatient (2K), neuroradiology (2K), pediatric ICU (1K), coronary care unit (1K), and one laser film printing station. The PACS is integrated with the hospital information system and the radiology information system. The system has been in operation since February 1992. We have integrated this PACS as a clinical component in daily radiology practice. It archives an average of 2.0-gigabyte image data per workday. A 3-mo system performance of various components are tabulated. The deployment of this large-scale PACS signifies a milestone in our PACS research and development effort. Radiologists, fellows, residents, and clinicians use it for case review, conferences, and occasionally for primary diagnosis. With this large-scale PACS in place, it will allow us to investigate the two critical issues raised when PACS research first started 10 yrs ago: system performance and cost effectiveness between a digital-based and a film-based system.


Annals of the New York Academy of Sciences | 2002

A Review of Medical Imaging Informatics

Usha Sinha; Alex A. T. Bui; Ricky K. Taira; John David N. Dionisio; Craig A. Morioka; David B. Johnson; Hooshang Kangarloo

Abstract: This review of medical imaging informatics is a survey of current developments in an exciting field. The focus is on informatics issues rather than traditional data processing and information systems, such as picture archiving and communications systems (PACS) and image processing and analysis systems. In this review, we address imaging informatics issues within the requirements of an informatics system defined by the American Medical Informatics Association. With these requirements as a framework, we review, in four sections: (1) Methods to present imaging and associated data without causing an overload, including image study summarization, content‐based medical image retrieval, and natural language processing of text data. (2) Data modeling techniques to represent clinical data with focus on an image data model, including general‐purpose time‐based multimedia data models, health‐care‐specific data models, knowledge models, and problem‐centric data models. (3) Methods to integrate medical data information from heterogeneous clinical data sources. Advances in centralized databases and mediated architectures are reviewed along with a discussion on our efforts at data integration based on peer‐to‐peer networking and shared file systems. (4) Visualization schemas to present imaging and clinical data: the large volume of medical data presents a daunting challenge for an efficient visualization paradigm. In this section we review current multimedia visualization methods including temporal modeling, problem‐specific data organization, including our problem‐centric, context and user‐specific visualization interface.


Journal of Clinical Ultrasound | 1985

Real-time sector ultrasound in the evaluation of suspected abnormalities of diaphragmatic motion.

Michael J. Diament; Marie I. Boechat; Hooshang Kangarloo

Real‐time sector ultrasonography is the only imaging procedure that can simultaneously evaluate the paradiaphragmatic spaces, the hemidiaphragms themselves, and their motion. Our experience with the use of real‐time Ultrasonography in the evaluation of 14 cases of suspected abnormalities of diaphragmatic motion and position is presented. With the exception of an equivocal examination in a patient who was completely respirator dependent, all of the sonographic diagnoses were consistent with available clinical and imaging follow‐up. Real‐time sector ultrasonography should be used as the primary imaging modality for evaluation of suspected abnormalities of diaphragmatic motion and position.


Pediatric Nephrology | 1988

Acquired cystic kidney disease in children undergoing long-term dialysis.

Heinz E. Leichter; Rosalind B. Dietrich; Isidro B. Salusky; Joann Foley; Arthur H. Cohen; Hooshang Kangarloo; Richard N. Fine

Acquired cystic kidney disease (ACKD) occurs in adult patients undergoing long-term dialysis. Early detection is important because clinically significant hematuria and malignancies are associated with ACKD. We evaluated by magnetic resonance imaging (MRI) and ultrasonography (US) the incidence of ACKD in 15 patients aged 7.3–21.6 years (mean 15.9 years) with non-cystic primary renal disease. Nine patients had been treated with peritoneal dialysis only, and 6 with both hemodialysis and peritoneal dialysis for 24–73 months (mean 37 months). Three patients (20%) had no cysts. In 5 patients (33%) with bilateral multiple cysts, the diagnosis of ACKD was made by MRI and US. In another 5 patients, solitary cysts were localized to one kidney by MRI, and in 2 patients solitary cysts were seen in both kidneys. This study documents that ACKD is not limited to older patients with end-stage renal disease. Early detection of these cysts can be accomplished by MRI and is warranted since 1 patient developed neoplastic tubular changes which can precede tumor formation.


international conference of the ieee engineering in medicine and biology society | 2007

openSourcePACS: An Extensible Infrastructure for Medical Image Management

Alex A. T. Bui; Craig A. Morioka; John David N. Dionisio; David B. Johnson; Usha Sinha; Siamak Ardekani; Ricky K. Taira; Denise R. Aberle; Suzie El-Saden; Hooshang Kangarloo

The development of comprehensive picture archive and communication systems (PACS) has mainly been limited to proprietary developments by vendors, though a number of freely available software projects have addressed specific image management tasks. The openSourcePACS project aims to provide an open source, common foundation upon which not only can a basic PACS be readily implemented, but to also support the evolution of new PACS functionality through the development of novel imaging applications and services. openSourcePACS consists of four main software modules: 1) image order entry, which enables the ordering and tracking of structured image requisitions; 2) an agent-based image server framework that coordinates distributed image services including routing, image processing, and querying beyond the present digital image and communications in medicine (DICOM) capabilities; 3) an image viewer, supporting standard display and image manipulation tools, DICOM presentation states, and structured reporting; and 4) reporting and result dissemination, supplying web-based widgets for creating integrated reports. All components are implemented using Java to encourage cross-platform deployment. To demonstrate the usage of openSourcePACS, a preliminary application supporting primary care/specialist communication was developed and is described herein. Ultimately, the goal of openSourcePACS is to promote the wide-scale development and usage of PACS and imaging applications within academic and research communities


Annals of Internal Medicine | 1990

Advances in Medical Imaging

H. K. Huang; Denise R. Aberle; Robert B. Lufkin; Edward G. Grant; William N. Hanafee; Hooshang Kangarloo

The field of medical imaging, stimulated by advances in digital and communication technologies, has grown tremendously. New imaging techniques that reveal greater anatomical detail are available in most diagnostic radiology departments. We discuss vascular imaging with ultrasound, high-resolution computed tomography of the thorax, magnetic resonance imaging applications, and picture archiving and communication systems. Vascular imaging with ultrasound requires duplex and color flow Doppler, which combine gray-scale ultrasound and the Doppler phenomenon. High-resolution computed tomography modifies conventional computed tomography technology and results in images with higher spatial resolution. Magnetic resonance imaging applications for all areas of the body are being investigated and are replacing older roentgenographic techniques such as computed tomography, arthrography, myelography, and even angiography in a growing number of indications. With these new digital imaging modalities, image management has become an important consideration that can be addressed by picture archiving and communication systems.

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Ricky K. Taira

University of California

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Alex A. T. Bui

University of California

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Usha Sinha

San Diego State University

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H. K. Huang

University of California

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Suzie El-Saden

University of California

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M I Boechat

University of California

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