Biomedical subjects

William B Lober

Publications and source records attributed to William B Lober.

10 recordsLinked to original sources

PubMed2005

A randomized, controlled trial evaluating the impact of a computerized rounding and sign-out system on continuity of care and resident work hours.

BACKGROUND: Adoption of limits on resident work hours prompted us to develop a centralized, Web-based computerized rounding and sign-out system (UWCores) that securely stores sign-out information; automatically downloads patient data (vital signs, laboratories); and prints them to rounding, sign-out, and progress note templates. We tested the hypothesis that this tool would positively impact continuity of care and resident workflow by improving team communication involving patient handovers and streamlining inefficiencies, such as hand-copying patient data during work before rounds ("prerounds"). STUDY DESIGN: Fourteen inpatient resident teams (6 general surgery, 8 internal medicine) at two teaching hospitals participated in a 5-month, prospective, randomized, crossover study. Data collected included number of patients missed on resident rounds, subjective continuity of care quality and workflow efficiency with and without UWCores, and daily self-reported prerounding and rounding times and tasks. RESULTS: UWCores halved the number of patients missed on resident rounds (2.5 versus 5 patients/team/month, p = 0.0001); residents spent 40% more of their prerounds time seeing patients (p = 0.36); residents reported better sign-out quality (69.6% agree or strongly agree); and improved continuity of care (66.1% agree or strongly agree). UWCores halved the portion of prerounding time spent hand-copying basic data (p < 0.0001); it shortened team rounds by 1.5 minutes/patient (p = 0.0006); and residents reported finishing their work sooner using UWCores (82.1% agree or strongly agree). CONCLUSIONS: This system enhances patient care by decreasing patients missed on resident rounds and improving resident-reported quality of sign-out and continuity of care. It decreases by up to 3 hours per week (range 1.5 to 3) the time used by residents to complete rounds; it diverts prerounding time from recopying data to more productive tasks; and it facilitates meeting the 80-hour work week requirement by helping residents finish their work sooner.

Continuity of Patient Care↗

PubMed2004

Information system architectures for syndromic surveillance.

INTRODUCTION: Public health agencies are developing the capacity to automatically acquire, integrate, and analyze clinical information for disease surveillance. The design of such surveillance systems might benefit from the incorporation of advanced architectures developed for biomedical data integration. Data integration is not unique to public health, and both information technology and academic research should influence development of these systems. OBJECTIVES: The goal of this paper is to describe the essential architectural components of a syndromic surveillance information system and discuss existing and potential architectural approaches to data integration. METHODS: This paper examines the role of data elements, vocabulary standards, data extraction, transport and security, transformation and normalization, and analysis data sets in developing disease-surveillance systems. It then discusses automated surveillance systems in the context of biomedical and computer science research in data integration, both to characterize existing systems and to indicate potential avenues of investigation to build systems that support public health practice. RESULTS: The Public Health Information Network (PHIN) identifies best practices for essential architectural components of a syndromic surveillance system. A schema for classifying biomedical data-integration software is useful for classifying present approaches to syndromic surveillance and for describing architectural variation. CONCLUSIONS: Public health informatics and computer science research in data-integration systems can supplement approaches recommended by PHIN and provide information for future public health surveillance systems.

Bioterrorism↗

PubMed2004

Computerized symptom and quality-of-life assessment for patients with cancer part I: development and pilot testing.

PURPOSE/OBJECTIVES: To develop and test an innovative computerized symptom and quality-of-life (QOL) assessment for patients with cancer who are evaluated for and treated with radiation therapy. DESIGN: Descriptive, longitudinal prototype development and cross-sectional clinical data. SETTING: Department of radiation oncology in an urban, academic medical center. SAMPLE: 101 outpatients who were evaluated for radiation therapy, able to communicate in English (or through one of many interpreters available at the University of Washington), and competent to understand the study information and give informed consent. Six clinicians caring for the patients in the sample were enrolled. METHODS: Iterative prototype development was conducted using a standing focus group of clinicians. The software was developed based on survey markup language and implemented in a wireless, Web-based format. Patient participants completed the computerized assessment prior to consultation with the radiation physician. Graphical output pages with flagged areas of symptom distress or troublesome QOL issues were made available to consulting physicians and nurses. MAIN RESEARCH VARIABLES: Pain intensity, symptoms, QOL, and demographics. INSTRUMENTS: Computerized versions of a 0 to 10 Pain Intensity Numerical Scale (PINS), Symptom Distress Scale, and Short Form-8. FINDINGS: Focus group recommendations included clinician priorities of brevity, flexibility, and simplicity for both input interface and output and that the assessment output contain color graphic display. Patient participants included 45 women and 56 men with a mean age of 52.7 years (SD = 13.8). Fewer than half of the participants (40%) reported using a computer on a regular basis (weekly or daily). Completion time averaged 7.8 minutes (SD = 3.7). Moderate to high levels of distress were reported more often for fatigue, pain, and emotional issues than for other symptoms or concerns. CONCLUSIONS: Computerized assessment of cancer symptoms and QOL is technically possible and feasible in an ambulatory cancer clinic. A wireless, Web-based system facilitates access to results and data entry and retrieval. The symptom and QOL profiles of these patients new to radiation therapy were comparable to other samples of outpatients with cancer. IMPLICATIONS FOR NURSING: The ability to capture an easily interpreted illustration of a patients symptom and QOL experience in less than 10 minutes is a potentially useful adjunct to traditional face-to-face interviewing. Ultimately, electronic patient-generated data could produce automated red flags directed to the most appropriate clinicians (e.g., nurse, pain specialist, social worker, nutritionist) for further evaluation. Such system enhancement could greatly facilitate oncology nurses coordination role in caring for complex patients with cancer.

Academic Medical Centers↗

PubMed2004

Organizing the transfer of patient care information: the development of a computerized resident sign-out system.

BACKGROUND: The problem of safe and efficient transfer of care has increased over the years as new and complex diagnostic tools and more complex treatment options became available. Traditionally, residents ensured continuity of care by working long hours and minimizing the transfer of significant diagnostic or therapeutic responsibilities to other providers. The new 80-hour workweek has curtailed that practice and increased the pressure on trainees for workflow efficiency. We report on a study of information-handling routines among residents for the separate tasks of transfer of care ("sign-out") and daily patient care work (ward work). Using these results, an institution-wide computerized system was developed to centralize information-handling tasks and facilitate the management and transfer of patient care information. STUDY DESIGN: House staff from 31 resident-run inpatient and consult services at 2 teaching hospitals described current methods of maintaining patient information used during ward rounds and during sign-out. A subgroup of 28 residents then participated in the design of a computerized resident sign-out system to centralize patient information and produce lists for rounding and transferring care duties. Accuracy, flexibility, and portability were identified as key elements by the design team. RESULTS: Analysis of the type of information handled by residents caring for inpatients at our institution demonstrated common elements across many services. Most services used a paper patient list to manage both nightly sign-out and daily ward work, which required repeated recopying of patient data during the day. Utilizing medical information systems tools and rapid application development concepts, we constructed a computerized resident sign-out system ("UWCores"). This system combines the patient sign-out and daily ward work information in one central location. We believed this would improve the quality of information transferred during sign-out and enhance resident efficiency. During the design process, we identified rules that govern the type of clinical information that should be automatically versus manually updated. We observed an immediate acceptance by all residents and services that tried the system. CONCLUSIONS: This study shows that by combining downloaded patient data from hospital systems with resident-entered patient details, a computerized resident sign-out system can be a feasible, powerful, and popular tool. While its effect on patient safety and resident efficiency await the results of further studies, our study shows that this tool rapidly captured the attention of resident physicians and became widely used as a valuable means to centralize and organize sign-out and daily ward work information.

Continuity of Patient Care↗

PubMed2004

Collection and integration of clinical data for surveillance.

OBJECTIVE: The syndromic surveillance project at Public Health-Seattle & King County incorporates several data sources, including emergency department and primary care visit data collected and normalized through an automated mechanism. We describe significant changes made in this "second generation" of our system to improve data quality while complying with privacy and state public health reporting regulations. METHODS/RESULTS: The system uses de-identified visit and patient numbers to assure data accuracy, while shielding patient identity. Presently, we have 124,000 basic visit records (used to generate stratified denominators), and 29,000 surveillance records, from four emergency departments and a primary care clinic network. The system is capable of producing syndrome-clustered data sets for analysis. DISCUSSION: We have incorporated data collection techniques such as automated querying, report parsing, and HL7 electronic data interchange. We are expanding the system to include greater population coverage, and developing an understanding how to implement data collections more rapidly at individual hospital sites, as well as how best to prepare the data for analysis.

Bioterrorism↗

PubMed2003

Implementing syndromic surveillance: a practical guide informed by the early experience.

Syndromic surveillance refers to methods relying on detection of individual and population health indicators that are discernible before confirmed diagnoses are made. In particular, prior to the laboratory confirmation of an infectious disease, ill persons may exhibit behavioral patterns, symptoms, signs, or laboratory findings that can be tracked through a variety of data sources. Syndromic surveillance systems are being developed locally, regionally, and nationally. The efforts have been largely directed at facilitating the early detection of a covert bioterrorist attack, but the technology may also be useful for general public health, clinical medicine, quality improvement, patient safety, and research. This report, authored by developers and methodologists involved in the design and deployment of the first wave of syndromic surveillance systems, is intended to serve as a guide for informaticians, public health managers, and practitioners who are currently planning deployment of such systems in their regions.

Bioterrorism↗

PubMed2003

Syndromic surveillance using automated collection of computerized discharge diagnoses.

The Syndromic Surveillance Information Collection (SSIC) system aims to facilitate early detection of bioterrorism attacks (with such agents as anthrax, brucellosis, plague, Q fever, tularemia, smallpox, viral encephalitides, hemorrhagic fever, botulism toxins, staphylococcal enterotoxin B, etc.) and early detection of naturally occurring disease outbreaks, including large foodborne disease outbreaks, emerging infections, and pandemic influenza. This is accomplished using automated data collection of visit-level discharge diagnoses from heterogeneous clinical information systems, integrating those data into a common XML (Extensible Markup Language) form, and monitoring the results to detect unusual patterns of illness in the population. The system, operational since January 2001, collects, integrates, and displays data from three emergency department and urgent care (ED/UC) departments and nine primary care clinics by automatically mining data from the information systems of those facilities. With continued development, this system will constitute the foundation of a population-based surveillance system that will facilitate targeted investigation of clinical syndromes under surveillance and allow early detection of unusual clusters of illness compatible with bioterrorism or disease outbreaks.

Bioterrorism↗

PubMed2003

Emergency Department data for bioterrorism surveillance: electronic data availability, timeliness, sources and standards.

Emergency Department (ED) data are a key component of bioterrorism surveillance systems. Little research has been done to examine differences in ED data capture and entry across hospitals, regions and states. The purpose of this study was to describe the current state of ED data for use in bioterrorism surveillance in 2 regions of the country. We found that chief complaint (CC) data are available electronically in 54% of the North Carolina EDs surveyed, and in 100% of the Seattle area EDs. Over half of all EDs reported that CCs are recorded in free text form. Though all EDs have electronic diagnosis data, less than half report that diagnoses are coded within 24 hours of the ED visit.

Bioterrorism↗

PubMed2002

Development and evaluation of public health informatics at University of Washington.

Public Health Informatics (PHI) education began at the University of Washington (UW) with a Summer Institute in 1995. The Biomedical and Health Informatics graduate program, which is housed in the School of Medicine, is an interdisciplinary, multi-school program. It demonstrates the UW's cooperative efforts in advancing informatics, encompassing the schools of public health, medicine, nursing, dentistry, pharmacy, information and graduate schools in computer science. This article provides an overview of the developmental milestones related to activities in PHI and describes the evaluation strategy and assessment plan for PHI training at the UW (http://phig.washington.edu).

Curriculum↗

PubMedDate not supplied

Roundtable on bioterrorism detection: information system-based surveillance.

During the 2001 AMIA Annual Symposium, the Anesthesia, Critical Care, and Emergency Medicine Working Group hosted the Roundtable on Bioterrorism Detection. Sixty-four people attended the roundtable discussion, during which several researchers discussed public health surveillance systems designed to enhance early detection of bioterrorism events. These systems make secondary use of existing clinical, laboratory, paramedical, and pharmacy data or facilitate electronic case reporting by clinicians. This paper combines case reports of six existing systems with discussion of some common techniques and approaches. The purpose of the roundtable discussion was to foster communication among researchers and promote progress by 1) sharing information about systems, including origins, current capabilities, stages of deployment, and architectures; 2) sharing lessons learned during the development and implementation of systems; and 3) exploring cooperation projects, including the sharing of software and data. A mailing list server for these ongoing efforts may be found at http://bt.cirg.washington.edu.

Bioterrorism↗