Biomedical subjects

David F Lobach

Publications and source records attributed to David F Lobach.

18 recordsLinked to original sources

PubMed2007

Proposal for fulfilling strategic objectives of the U.S. Roadmap for national action on clinical decision support through a service-oriented architecture leveraging HL7 services.

Despite their demonstrated effectiveness, clinical decision support (CDS) systems are not widely used within the U.S. The Roadmap for National Action on Clinical Decision Support, published in June 2006 by the American Medical Informatics Association, identifies six strategic objectives for achieving widespread adoption of effective CDS capabilities. In this manuscript, we propose a Service-Oriented Architecture (SOA) for CDS that facilitates achievement of these six objectives. Within the proposed framework, CDS capabilities are implemented through the orchestration of independent software services whose interfaces are being standardized by Health Level 7 and the Object Management Group through their joint Healthcare Services Specification Project (HSSP). Core services within this framework include the HSSP Decision Support Service, the HSSP Common Terminology Service, and the HSSP Retrieve, Locate, and Update Service. Our experiences, and those of others, indicate that the proposed SOA approach to CDS could enable the widespread adoption of effective CDS within the U.S. health care system.

Computer Systems↗

PubMed2005

Improving clinical practice using clinical decision support systems: a systematic review of trials to identify features critical to success.

OBJECTIVE: To identify features of clinical decision support systems critical for improving clinical practice. DESIGN: Systematic review of randomised controlled trials. DATA SOURCES: Literature searches via Medline, CINAHL, and the Cochrane Controlled Trials Register up to 2003; and searches of reference lists of included studies and relevant reviews. STUDY SELECTION: Studies had to evaluate the ability of decision support systems to improve clinical practice. DATA EXTRACTION: Studies were assessed for statistically and clinically significant improvement in clinical practice and for the presence of 15 decision support system features whose importance had been repeatedly suggested in the literature. RESULTS: Seventy studies were included. Decision support systems significantly improved clinical practice in 68% of trials. Univariate analyses revealed that, for five of the system features, interventions possessing the feature were significantly more likely to improve clinical practice than interventions lacking the feature. Multiple logistic regression analysis identified four features as independent predictors of improved clinical practice: automatic provision of decision support as part of clinician workflow (P < 0.00001), provision of recommendations rather than just assessments (P = 0.0187), provision of decision support at the time and location of decision making (P = 0.0263), and computer based decision support (P = 0.0294). Of 32 systems possessing all four features, 30 (94%) significantly improved clinical practice. Furthermore, direct experimental justification was found for providing periodic performance feedback, sharing recommendations with patients, and requesting documentation of reasons for not following recommendations. CONCLUSIONS: Several features were closely correlated with decision support systems' ability to improve patient care significantly. Clinicians and other stakeholders should implement clinical decision support systems that incorporate these features whenever feasible and appropriate.

Decision Making↗

PubMed2005

Impact of the Cancer Risk Intake System on patient-clinician discussions of tamoxifen, genetic counseling, and colonoscopy.

The Cancer Risk Intake System (CRIS), a computerized program that "matches" objective cancer risks to appropriate risk management recommendations, was designed to facilitate patient-clinician discussion. We evaluated CRIS in primary care settings via a single-group, self-report, pretest-posttest design. Participants completed baseline telephone surveys, used CRIS during clinic visits, and completed follow-up surveys 1 to 2 months postvisit. Compared with proportions reporting having had discussions at baseline, significantly greater proportions of participants reported having discussed tamoxifen, genetic counseling, and colonoscopy, as appropriate, after using CRIS. Most (79%) reported CRIS had "caused" their discussion. CRIS is an easily used, disseminable program that showed promising results in primary care settings.

Adult↗

PubMed2005

Assessing the potential economic value of health information technology interventions in a community-based health network.

Health information professionals recognize the need to demonstrate that the benefits of health information technological (HIT) interventions outweigh their costs. However, such cost-benefit analyses are rarely conducted for HIT interventions, due in part to the lack of a standard methodology. In this study, we describe how the U.S. Public Health Service's guidelines for health economic analyses can be used to evaluate HIT interventions. This framework is described in the context of an economic analysis we are conducting for three HIT interventions to be implemented in a community-based health network caring for Medicaid beneficiaries in Durham County, North Carolina. At present, the 17,779 patients in our study cost Medicaid more than $5 million per month. In sensitivity analyses, we demonstrate that if our information intervention redirects just 10% of low-severity emergency room encounters to outpatient encounters, it will result in $12,523 of monthly savings to the local health system.

Biomedical Technology↗

PubMed2005

Design, implementation, use, and preliminary evaluation of SEBASTIAN, a standards-based Web service for clinical decision support.

Despite their demonstrated ability to improve care quality, clinical decision support systems are not widely used. In part, this limited use is due to the difficulty of sharing medical knowledge in a machine-executable format. To address this problem, we developed a decision support Web service known as SEBASTIAN. In SEBASTIAN, individual knowledge modules define the data requirements for assessing a patient, the conclusions that can be drawn using that data, and instructions on how to generate those conclusions. Using standards-based XML messages transmitted over HTTP, client decision support applications provide patient data to SEBASTIAN and receive patient-specific assessments and recommendations. SEBASTIAN has been used to implement four distinct decision support systems; an architectural overview is provided for one of these systems. Preliminary assessments indicate that SEBASTIAN fulfills all original design objectives, including the re-use of executable medical knowledge across diverse applications and care settings, the straightforward authoring of knowledge modules, and use of the framework to implement decision support applications with significant clinical utility.

Decision Making, Computer-Assisted↗

PubMed2005

Identifying and overcoming obstacles to point-of-care data collection for eye care professionals.

Supporting data entry by clinicians is considered one of the greatest challenges in implementing electronic health records. In this paper we describe a formative evaluation study using three different methodologies through which we identified obstacles to point-of-care data entry for eye care and then used the formative process to develop and test solutions to overcome these obstacles. The greatest obstacles were supporting free text annotation of clinical observations and accommodating the creation of detailed diagrams in multiple colors. To support free text entry, we arrived at an approach that captures an image of a free text note and associates this image with related data elements in an encounter note. The detailed diagrams included a color pallet that allowed changing pen color with a single stroke and also captured the diagrams as an image associated with related data elements. During observed sessions with simulated patients, these approaches satisfied the clinicians' documentation needs by capturing the full range of clinical complexity that arises in practice.

Attitude to Computers↗

PubMed2005

Direct comparison of a tablet computer and a personal digital assistant for point-of-care documentation in eye care.

New mobile computing devices including personal digital assistants (PDAs) and tablet computers have emerged to facilitate data collection at the point of care. Unfortunately, little research has been reported regarding which device is optimal for a given care setting. In this study we created and compared functionally identical applications on a Palm operating system-based PDA and a Windows-based tablet computer for point-of-care documentation of clinical observations by eye care professionals when caring for patients with diabetes. Eye-care professionals compared the devices through focus group sessions and through validated usability surveys. We found that the application on the tablet computer was preferred over the PDA for documenting the complex data related to eye care. Our findings suggest that the selection of a mobile computing platform depends on the amount and complexity of the data to be entered; the tablet computer functions better for high volume, complex data entry, and the PDA, for low volume, simple data entry.

Attitude of Health Personnel↗

PubMed2005

Developing a framework for conducting economic evaluations of community-based health information technology interventions.

This study describes a framework for conducting economic analyses for health information technology (HIT) interventions, in the context of three interventions that are currently being implemented in a community-based health network caring for 17,779 Medicaid beneficiaries in Durham County, North Carolina. We show that if the HIT interventions were to redirect only 10% of low-severity emergency room encounters to outpatient care, it will result in $12,523 of monthly savings.

Ambulatory Care↗

PubMed2005

Assessment of relative importance of tablet computer features in supporting direct electronic documentation of encounters by eye care professionals.

Extensive utilization of mobile devices at the point of care will depend on device acceptance by the providers. We conducted focus groups involving nine eye care professionals to evaluate and elucidate the most important features of a tablet Personal Computer (PC) for data entry at the point of care. Ease of use, and quality and size of display were considered to be the most critical features of such a mobile device by the majority of the participants. Keyboard and weight of device were deemed to be the least important features of a tablet PC.

Attitude to Computers↗

PubMed2005

Creation and use of a survey instrument for comparing mobile computing devices.

Both personal digital assistants (PDAs) and tablet computers have emerged to facilitate data collection at the point of care. However, little research has been reported comparing these mobile computing devices in specific care settings. In this study we present an approach for comparing functionally identical applications on a Palm operating system-based PDA and a Windows-based tablet computer for point-of-care documentation of clinical observations by eye care professionals when caring for patients with diabetes. Eye-care professionals compared the devices through focus group sessions and through validated usability surveys. This poster describes the development and use of the survey instrument used for comparing mobile computing devices.

Attitude to Computers↗

PubMed2005

Overcoming obstacles to collecting narrative data from eye care professionals at the point-of-care.

Capturing the nuances of clinical observations in an electronic format has been a major challenge in implementing electronic health records. In a formative evaluation study using three different methodologies, we identified that the greatest obstacle to point-of-care data entry for eye care was supporting free text annotation of clinical observations. To overcome this obstacle, we developed an approach that captures an image of a free text entry and associates this image with related data elements in an encounter note. Through simulated patient studies, we observed that this approach successfully supported complex documentation at the point of care by clinicians.

Attitude to Computers↗

PubMed2004

Computerized knowledge management in diabetes care.

INTRODUCTION: Many scientific achievements become part of usual diabetes care only after long delays. The purpose of this article is to identify the impact of automated information interventions on diabetes care and patient outcomes and to enable this knowledge to be incorporated into diabetes care practice. METHODS: We conducted systematic electronic and manual searches and identified reports of randomized clinical trials of computer-assisted interventions in diabetes care. Studies were grouped into 3 categories: computerized prompting of diabetes care, utilization of home glucose records in computer-assisted insulin dose adjustment, and computer-assisted diabetes patient education. RESULTS: Among 40 eligible studies, glycated hemoglobin and blood glucose levels were significantly improved in 7 and 6 trials, respectively. Significantly improved guideline compliance was reported in 6 of 8 computerized prompting studies. Three of 4 pocket-sized insulin dosage computers reduced hypoglycemic events and insulin doses. Metaanalysis of studies using home glucose records in insulin dose adjustment documented a mean decrease in glycated hemoglobin of.14 mmol/L (95% confidence interval [CI], 0.11-0.16) and a decrease in blood glucose of.33 mmol/L (95% CI, 0.28-0.39). Several computerized educational programs improved diet and metabolic indicators. DISCUSSION: Computerized knowledge management is becoming a vital component of quality diabetes care. Prompting follow-up procedures, computerized insulin therapy adjustment using home glucose records, remote feedback, and counseling have documented benefits in improving diabetes-related outcomes.

Blood Glucose Self-Monitoring↗

PubMed2004

Adapting the human-computer interface for reading literacy and computer skill to facilitate collection of information directly from patients.

Clinical information collected directly from patients is critical to the practice of medicine. Past efforts to collect this information using computers have had limited utility because these efforts required users to be facile with the computerized information collecting system. In this paper we describe the design, development, and function of a computer system that uses recent technology to overcome the limitations of previous computer-based data collection tools by adapting the human-computer interface to the native language, reading literacy, and computer skills of the user. Specifically, our system uses a numerical representation of question content, multimedia, and touch screen technology to adapt the computer interface to the native language, reading literacy, and computer literacy of the user. In addition, the system supports health literacy needs throughout the data collection session and provides contextually relevant disease-specific education to users based on their responses to the questions. The system has been successfully used in an academically affiliated family medicine clinic and in an indigent adult medicine clinic.

Computer Literacy↗

PubMed2003

Evaluation of an infrared/radiofrequency equipment-tracking system in a tertiary care hospital.

Optimal management of assets in large hospitals is important to both cost control and patient care. A prospective controlled evaluation was conducted to determine whether an asset-tracking system using combined radiofrequency and infrared signals could increase equipment utilization, increase appropriate charge capture, and decrease personnel time spent looking for equipment. Two wards at Duke University Medical Center were randomly assigned as intervention and control. Beds sequential compression devices (SCDs), and infusion pumps were monitored during a 6-week intervention period, preceded and followed by 6-week control periods. The system's accuracy for detecting equipment, relative to a trained surveyor, was greater than 80%. Accuracy for locating equipment to a specific room was 60-80%. With the system available, we observed increased utilization of infusion pumps but not of beds or SCDs. Nursing staff and system users had positive impressions of the system and its potential. Tracking systems can successfully locate hospital equipment and may improve utilization.

Academic Medical Centers↗

PubMed2003

Design of FRESH START: a randomized trial of exercise and diet among cancer survivors.

PURPOSE: FRESH START is a randomized controlled trial that will test whether a personally tailored, distance-medicine-based program will increase exercise and fruit and vegetable consumption, and decrease fat intake of individuals recently diagnosed with breast or prostate cancer. METHODS: Early-stage breast and prostate cancer cases (N= 530) will be identified within 9 months of diagnosis from hospital cancer registries and large oncologic practices throughout the United States. These individuals will be sent a letter of invitation and screened for eligibility. After a baseline telephone interview, participants will be randomized into one of two arms that receive materials aimed at increasing exercise and fruit and vegetable intake, and decreasing dietary fat: 1). an experimental arm that receives a workbook and a series of six 4-page newsletters delivered every 7 wk and personally tailored on type of cancer, cancer coping style, race, age, self-efficacy, stage of readiness, and barriers and/or progress toward goal behavior (i.e., >or= 30 min of exercise at least 5 d.wk, >or= 5 servings of vegetables and fruit per day, and <or= 30% of calories from fat); or 2). a control arm that receives a series of nontailored health brochures. Follow-up interviews scheduled 1 and 2 yr postbaseline will determine short- and long-term efficacy and the effects of the interventions on other endpoints (quality of life, perceived health, etc.). Factors, such as gender, race, and social support, also will be explored to determine potential interactions with program efficacy. CONCLUSION: Given the growing number of cancer survivors, distance-medicine-based interventions addressing multiple behaviors and targeting this high-risk group have the potential to make a positive and broad public health impact.

Breast Neoplasms↗

PubMed2003

Clinical decision support provided within physician order entry systems: a systematic review of features effective for changing clinician behavior.

Computerized physician order entry (CPOE) systems represent an important tool for providing clinical decision support. In undertaking this systematic review, our objective was to identify the features of CPOE-based clinical decision support systems (CDSSs) most effective at modifying clinician behavior. For this review, two independent reviewers systematically identified randomized controlled trials that evaluated the effectiveness of CPOE-based CDSSs in changing clinician behavior. Furthermore, each included study was assessed for the presence of 14 CDSS features. We screened 10,023 citations and included 11 studies. Of the 10 studies comparing a CPOE-based CDSS intervention against a non-CDSS control group, 7 reported a significant desired change in professional practice. Moreover, meta-regression analysis revealed that automatic provision of the decision support was strongly associated with improved professional practice (adjusted odds ratio, 23.72; 95% confidence interval, 1.75-infiniti). Thus, we conclude that automatic provision of decision support is a critical feature of successful CPOE-based CDSS interventions.

Decision Making, Computer-Assisted↗

PubMed2003

Evaluation of a tool to categorize patients by reading literacy and computer skill to facilitate the computer-administered patient interview.

Past efforts to collect clinical information directly from patients using computers have had limited utility because these efforts required users to be literate and facile with the computerized information collecting system. In this paper we describe the creation and use of a computer-based tool designed to assess a user's reading literacy and computer skill for the purpose of adapting the human-computer interface to fit the identified skill levels of the user. The tool is constructed from a regression model based on 4 questions that we identified in a laboratory study to be highly predictive of reading literacy and 2 questions predictive of computer skill. When used in 2 diverse clinical practices the tool categorized low literacy users so that they received appropriate support to enter data through the computer, enabling them to perform as well as high literacy users. Confirmation of the performance of the tool with a validated reading assessment instrument showed a statistically significant difference (p=0.0025) between the two levels of reading literacy defined by the tool. Our assessment tool can be administered through a computer in less than two minutes without requiring any special training or expertise making it useful for rapidly determining users' aptitudes.

Computer Literacy↗

PubMedDate not supplied

A simple, flexible and scalable approach for generating tailored questionnaires and health education messages.

Tailored health information is important for generating patient-specific recommendations in clinical decision support systems and for crafting health education materials that are specifically customized to a patient. Many previous attempts to generate tailored information require complex representations, lack general applicability, and are inflexible to content alterations. In this article, we describe a simple, yet flexible approach for tailoring health communication. This generalized and scalable approach relies on a flexible state representation of each individual and an expandable rule drafting and processing engine. It utilizes a relational database schema and a simple table structure to maintain each individual's past and current health information. Content for tailored communication is represented in a single table which stores predefined logic describing the rules for selecting content applicable to specific individuals. The flexibility, scalability, and simplicity of this approach are demonstrated by describing two diverse projects. One project has provided patient-tailored decision support for physicians for over 82,000 patient encounters and the other generates tailored health questions and messages for patients through a tool developed in less than 4 months.

Decision Support Systems, Clinical↗