Medicine and Health Sciences Commons^™

Why It’S Worth The Hassle: The Value Of In-Situ Studies When Designing Ubicomp., Yvonne Rogers, Kay Connelly, Lenore Tedesco, William Hazlewood, Andrew Kurtz, Robert E. Hall, Josh Hursey, Tammy Toscos Phd

Health Services and Informatics Research

How should Ubicomp technologies be evaluated? While lab studies are good at sensing aspects of human behavior and revealing usability problems, they are poor at capturing context of use. In-situ studies are good at demonstrating how people appropriate technologies in their intended setting, but are expensive and difficult to conduct. Here, we show how they can be used more productively in the design process. A mobile learning device was developed to support teams of students carrying out scientific inquiry in the field. An initial in-situ study showed it was not used in the way envisioned. A contextualized analysis led to …

Practice Notes: Strategies In Health Education Program, “Full Service”: Talking About Fighting Prostate Cancer—In The Barber Shop!, Lisa D. Lieberman, Mario C. Browne, Barbara Hager

Department of Public Health Scholarship and Creative Works

The purpose of this project is to promote prostate cancer screening, education about disease risk and the importance of early detection, and survivorship among African American males who frequent African American–owned barber shops.

Predicting Coronary Artery Disease With Medical Profile And Gene Polymorphisms Data, Qiongyu Chen, Guoliang Li, Tze-Yun Leong, Chew-Kiat Heng

Research Collection School Of Computing and Information Systems

Coronary artery disease (CAD) is a main cause of death in the world. Finding cost-effective methods to predict CAD is a major challenge in public health. In this paper, we investigate the combined effects of genetic polymorphisms and non-genetic factors on predicting the risk of CAD by applying well known classification methods, such as Bayesian networks, naïve Bayes, support vector machine, k-nearest neighbor, neural networks and decision trees. Our experiments show that all these classifiers are comparable in terms of accuracy, while Bayesian networks have the additional advantage of being able to provide insights into the relationships among the variables. …

Health Information Technology Adoption Among Health Centers: A Digital Divide In The Making?, Adil Moiduddin, Daniel S. Gaylin

National Health Policy Forum

This background paper describes the current status of efforts to implement health information technology in community health centers. It summarizes the benefits experienced by health centers that have pioneered the use of information technology and examines the challenges that have hindered wider adoption. The paper identifies a range of policy options that have been considered to promote broader use of information technology by health centers.

Factors Associated With Integrating Self-Management Support Into Primary Care, Richard Crespo, Molly Shrewsberry

Family and Community Health

Purpose

The purpose of this article is to expand the understanding of self-management support by describing factors that contribute to implementing a comprehensive self-management program in primary care.

Methods

Four rural health centers in medically underserved areas participated in a study to document the implementation of a self-management program. This program consisted of a social marketing plan and decision-making tools to guide patients in making self-management behavior changes. The stages of change constructs of the transtheoretical model were used to design the social marketing plan. Key informant interviews were conducted at 6-month and 9-month intervals to document the implementation process. …

A Time-And-Value Centric Provenance Model And Architecture For Medical Event Streams, Marion Bllount, John Davis, Archan Misra, Daby Sow, Min Wang

Research Collection School Of Computing and Information Systems

Provenance becomes a critical requirement for healthcare IT infrastructures, especially when pervasive biomedical sensors act as a source of raw medical streams for large-scale, automated clinical decision support systems. Medical and legal requirements will make it obligatory for such systems to answer queries regarding the underlying data samples from which output alerts are derived, the IDs of the processing components used and the privileges of the individuals and software components accessing the medical data. Unfortunately, existing models of either annotation or process based provenance are designed for transaction-oriented systems and do not satisfy the unique requirements for systems processing high-volume, …

Computer-Based Insulin Infusion Protocol Improves Glycemia Control Over Manual Protocol., Jeffrey Boord, Mona Sharifi, Robert A Greevy, Marie R Griffin, Vivian K Lee, Ty A Webb, Michael E May, Lemuel R Waitman, Addison K May, Randolph A Miller

Hospital Medicine

OBJECTIVE: Hyperglycemia worsens clinical outcomes in critically ill patients. Precise glycemia control using intravenous insulin improves outcomes. To determine if we could improve glycemia control over a previous paper-based, manual protocol, authors implemented, in a surgical intensive care unit (SICU), an intravenous insulin protocol integrated into a care provider order entry (CPOE) system.

DESIGN: Retrospective before-after study of consecutive adult patients admitted to a SICU during pre (manual protocol, 32 days) and post (computer-based protocol, 49 days) periods.

MEASUREMENTS: Percentage of glucose readings in ideal range of 70-109 mg/dl, and minutes spent in ideal range of control during the first …

Direct Comparison Of Feature Tracking And Autocorrelation For Velocity Estimation, Gregory R. Bashford, Derek J. Robinson

Biomedical Imaging and Biosignal Analysis Laboratory

Feature tracking is an algorithm for estimating tissue motion and blood flow using pulse-echo ultrasound. It was proposed as a computationally simpler alternative to other techniques such as autocorrelation and time-domain cross correlation. The advantage of feature tracking is that it selectively extracts easily identifiable parts of the speckle signal (e.g., the local maxima), reducing the amount of information being processed. Studies on feature tracking to date have used stationary, specklegenerating targets to simulate blood flow. Also, feature tracking has not been compared with accepted commercial methods. This study directly compares feature tracking performance with the complex autocorrelation method, which …

Releasing Individually Identifiable Microdata With Privacy Protection Against Stochastic Threat: An Application To Health Information, Robert Garfinkel, Ram Gopal, Steven M. Thompson

Management Faculty Publications

The ability to collect and disseminate individually identifiable microdata is becoming increasingly important in a number of arenas. This is especially true in health care and national security, where this data is considered vital for a number of public health and safety initiatives. In some cases legislation has been used to establish some standards for limiting the collection of and access to such data. However, all such legislative efforts contain many provisions that allow for access to individually identifiable microdata without the consent of the data subject. Furthermore, although legislation is useful in that penalties are levied for violating the …

The Genome-Enabled Electronic Medical Record., M A Hoffman

Manuscripts, Articles, Book Chapters and Other Papers

The integration of patient-specific genomic information into the electronic medical record (EMR) will create many opportunities to improve patient care. Key to the successful incorporation of genomic information into the EMR will be the development of laboratory information systems capable of appropriately formatting molecular diagnostic and cytogenetic findings in the EMR. Due to the lack of granular genomics-related content in existing medical vocabularies, the adoption of new standards for describing clinically significant genomic information will be an important step toward recognizing the genome-enabled EMR. Appropriate capture of patient-specific genomic results in the EMR will generate new opportunities to utilize this …

Ocpat: An Online Codon-Preserved Alignment Tool For Evolutionary Genomic Analysis Of Protein Coding Sequences, Guozhen Liu, Monica Uddin, Munirul Islam, Morris Goodman, Lawrence I. Grossman, Roberto Romero, Derek E. Wildman

Wayne State University Associated BioMed Central Scholarship

Abstract

Background

Rapidly accumulating genome sequence data from multiple species offer powerful opportunities for the detection of DNA sequence evolution. Phylogenetic tree construction and codon-based tests for natural selection are the prevailing tools used to detect functionally important evolutionary change in protein coding sequences. These analyses often require multiple DNA sequence alignments that maintain the correct reading frame for each collection of putative orthologous sequences. Since this feature is not available in most alignment tools, codon reading frames often must be checked manually before evolutionary analyses can commence.

Results

Here we report an online codon-preserved alignment tool (OCPAT) that generates …

Planning An Integrated Disease Surveillance And Response System: A Matrix Of Skills And Activities, Helen N. Perry, Sharon M. Mcdonnell, Wondimagegnehu Alemu, Peter Nsubuga

Dartmouth Scholarship

The threat of a global influenza pandemic and the adoption of the World Health Organization (WHO) International Health Regulations (2005) highlight the value of well-coordinated, functional disease surveillance systems. The resulting demand for timely information challenges public health leaders to design, develop and implement efficient, flexible and comprehensive systems that integrate staff, resources, and information systems to conduct infectious disease surveillance and response. To understand what resources an integrated disease surveillance and response system would require, we analyzed surveillance requirements for 19 priority infectious diseases targeted for an integrated disease surveillance and response strategy in the WHO African region.

Information Governance: A Model For Security In Medical Practice, Patricia Williams

Research outputs pre 2011

Information governance is becoming an important aspect of organisational accountability. In consideration that information is an integral asset of most organisations, the protection of this asset will increasingly rely on organisational capabilities in security. In the medical arena this information is primarily sensitive patient-based information'. Previous research has shown that application of security measures is a low priority for primary care medical practice and that awareness of the risks are seriously underestimated. Consequently, information security governance will be a key issue for medical practice in the future. Information security governance is a relatively new term ,and there is little existing …