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Biomedical subjects

D F Lobach

Publications and source records attributed to D F Lobach.

At least 19 recordsLinked to original sources

Defining and supporting the diverse information needs of community-based care using the web and hand-held devices.

Community-based healthcare focused on maintaining wellness is becoming increasingly prevalent in the United States in an effort to eliminate healthcare disparities and reduce healthcare costs. These community-oriented initiatives, however, often require partnerships that cross traditional boundaries. As a result, these initiatives often lack a common information infrastructure to support the care delivery process. We have created and implemented a Web-based information and communication system to support the needs of a community-based healthcare project for Medicaid beneficiaries in Durham County, North Carolina. Through this project, we have identified the relevant information requirements and stakeholders for community-based care. In addition, we have explored the use of hand-held devices for accessing and collecting clinical information in the field. The overall goal of this project is to lower the costs and improve the quality of community-based healthcare through improved handling of information.

Community Health Services↗

A systematic process for converting text-based guidelines into a linear algorithm for electronic implementation.

Clinical practice guidelines are increasingly important for improving the quality and the process of healthcare delivery. Unfortunately, most guidelines are available only in a text-based format, which is difficult to integrate into clinical practice. Computers can facilitate guideline integration into clinical practice; however, this migration to computers requires translating text into intermediary representations. One type of representation that is readily adaptable for computerization is a linear algorithm. This paper describes a systematic process to convert text-based clinical practice guidelines into a linear algorithm with structured content, as an intermediate step to electronic implementation. The process includes: 1) defining applicability criteria, 2) identifying entry points, 3) defining decision points, 4) defining actions, 5) creating a linear algorithm that links decision points and actions, and 6) adding supporting resources. This process has been used successfully to prepare more than two dozen guidelines for computerization. It has been tested by several physicians and informaticians and shown to be transferable to various user groups. The availability of a systematic process to convert text-based guidelines into a structured intermediary format for electronic implementation can facilitate the computerization of guidelines and can inform guideline content developers regarding the critical elements that need to be explicitly stated in guidelines to support electronic implementation.

Algorithms↗

Integration of clinical decision support with on-line encounter documentation for well child care at the point of care.

Electronic medical record systems and clinical practice guideline (CPG) support applications are emerging in the clinical environment to document and support care. Applications which integrate online documentation with CPG are often complex systems bound to a proprietary infrastructure and as such, can be difficult to adapt to changing care guidelines. This paper describes integration of point-of-care clinical documentation to an Internet-based CPG system that was easily modified, utilized available software resources, and separated patient information from CPG. The system combined a text-based encounter documentation tool, Inbox, with a web-based CPG system, SIEGFRIED (System for Interactive Electronic Guidelines with Feedback and Resources for Instructional and Educational Development), which interactively presented care guidelines to providers. Age-specific well child care documentation templates were developed using Inbox for point-of-care documentation. SIEGFRIED contained the knowledge base of child safety education guidelines and executed independent of the program presenting the guidelines. The CPG were accessed from within the documentation template via an Internet hyperlink. Patient chart evaluation indicated that 77% of safety topics were reviewed and 32% of the charts contained documentation indicating all the safety topics were reviewed. Last, routine use of the Inbox-SIEGFRIED system was not realized due to the clinical time constraints and workload of the medical providers, and lack of data entry experience. A user survey indicated time cost (network access and software execution) were negative aspects of the system. However, the system function was highly regarded and the Internet-based patient education materials were described as useful and accurate. In summary, the system was functional, met original development goals, and provided valuable patient education materials; however, routine system use was prevented by time requirements. We recommend further development be oriented towards integrating the identified beneficial components of the system into clinician workflow.

Accident Prevention↗

A Web link management tool for optimizing utilization of distributed knowledge in health care applications.

The number of health-related Web sites on the Internet is increasing. Incorporating these sites into clinical decision support systems and other health care applications can significantly enhance the educational and instructional value of such systems. While search engines exist for finding sites and criteria are available for assessing site quality, few tools are available for managing Web-based health care information. Management of Web-based information is particularly challenging because the information is continually changing and new resources are continually being added. In this paper, we describe the development and use of a Web-link manager for health care applications. This system retains search strategies for repeated use, catalogues search results in a search results database, accommodates tracking of site review and use status, and provides periodic checking of link integrity for sites that are used in local applications. The Web-link manager is currently in use to manage the links used in a clinical decision support system that presents clinical practice guidelines interactively to clinicians at the point of care.

Computer Communication Networks↗

Siegfried: System for Interactive Electronic Guidelines with Feedback and Resources for Instructional and Educational Development.

The proliferation of clinical practice guidelines (CPGs) has necessitated computerized solutions for guideline distribution and implementation. In this paper we describe a Web-based system that interactively presents CPGs at the point of care. Our system, known as Siegfried, provides a generalized solution for implementing CPGs by maintaining the guideline knowledge base separate from the application that presents the guidelines. As a result of this design, new CPGs can be easily added and existing CPGs can be expeditiously modified without additional programming. This system also solicits feedback from users regarding guideline recommendations and provides hypertext links to relevant Web-based instructional and educational resources.

Artificial Intelligence↗

Identification of design features to enhance utilization and acceptance of systems for Internet-based decision support at the point of care.

Extensive utilization of point-of-care decision support systems will be largely dependent on the development of user interaction capabilities that make them effective clinical tools in patient care settings. This research identified critical design features of point-of-care decision support systems that are preferred by physicians, through a multi-method formative evaluation of an evolving prototype of an Internet-based clinical decision support system. Clinicians used four versions of the system--each highlighting a different functionality. Surveys and qualitative evaluation methodologies assessed clinicians' perceptions regarding system usability and usefulness. Our analyses identified features that improve perceived usability, such as telegraphic representations of guideline-related information, facile navigation, and a forgiving, flexible interface. Users also preferred features that enhance usefulness and motivate use, such as an encounter documentation tool and the availability of physician instruction and patient education materials. In addition to identifying design features that are relevant to efforts to develop clinical systems for point-of-care decision support, this study demonstrates the value of combining quantitative and qualitative methods of formative evaluation with an iterative system development strategy to implement new information technology in complex clinical settings.

Attitude of Health Personnel↗

Computerized decision support based on a clinical practice guideline improves compliance with care standards.

PURPOSE: Clinical guidelines are designed to assist in the management of specific diseases; however, these guidelines are often neglected in the delivery of care. The purpose of this study was to determine whether clinician use of an clinical practice guideline would increase in response to having, at the patient visit, a decision support system based on a practice guideline that generates a customized management protocol for the individual patient using data from the patient's electronic medical record. SUBJECTS AND METHODS: In a 6-month controlled trial at a primary care clinic, 58 primary care clinicians were randomized to receive either a special encounter form with the computer-generated guideline recommendations or a standard encounter form. The effect of computer-generated advice on clinician behavior was measured as rate of compliance with guideline recommendations. Data from 30 clinicians were analyzed; data from 28 clinicians were excluded because these clinicians did not meet predefined criteria for minimum exposure to diabetic patient care. RESULTS: Availability of patient management recommendations generated by the decision support system resulted in a two-fold increase in clinician compliance with care guidelines for diabetes mellitus (P = 0.01). Median compliance for the group receiving the recommendations was 32.0% versus 15.6% for the control group. CONCLUSION: Decision support based on a clinical practice guideline is an effective tool for assisting clinicians in the management of diabetic patients. This decision support system provides a model for how a clinical practice guideline can be integrated into the care process by computer to assist clinicians in managing a specific disease through helping them comply with care standards. Use of decision support systems based on clinical practice guidelines could ultimately improve the quality of medical care.

Decision Making, Computer-Assisted↗

Medical data mining: knowledge discovery in a clinical data warehouse.

Clinical databases have accumulated large quantities of information about patients and their medical conditions. Relationships and patterns within this data could provide new medical knowledge. Unfortunately, few methodologies have been developed and applied to discover this hidden knowledge. In this study, the techniques of data mining (also known as Knowledge Discovery in Databases) were used to search for relationships in a large clinical database. Specifically, data accumulated on 3,902 obstetrical patients were evaluated for factors potentially contributing to preterm birth using exploratory factor analysis. Three factors were identified by the investigators for further exploration. This paper describes the processes involved in mining a clinical database including data warehousing, data query and cleaning, and data analysis.

Data Interpretation, Statistical↗

Structuring clinical practice guidelines in a relational database model for decision support on the Internet.

The rapid proliferation of clinical practice guidelines (CPGs) has made computerization increasingly useful to clinicians. Computerization, however, requires transformation of the content and logic of each guideline into a computer-accessible form. In this project, we sought to use a relational database to construct a generalized guideline knowledge base for use with Internet-based decision support applications. We hypothesized that knowledge representation schemes could be developed to capture guideline content and logic within the constraints of a relational database model. In this paper we describe a database schema based on a relational model for computerizing CPGs using a hybrid of structured and procedural knowledge representation schemes. We developed and refined this model in the context of five diverse CPGs and found it accommodated all necessary representational requirements.

Algorithms↗

Development and use of a Guideline Entry Wizard to convert text clinical practice guidelines to a relational format.

Computerization of clinical practice guidelines (CPGs) has been proposed as one solution to enhance the use of guidelines in influencing standard clinical care. However, the conversion of text guidelines to the format required by a computer program is a major barrier. Clinicians who best understand the content of CPGs are typically ill equipped to convert textual guidelines into a computer accessible format. The potential of knowledge acquisition tools to assist in this process has been documented in the literature. In this paper we describe an application prototype, the Guideline Entry Wizard, created to assist in the conversion of text CPGs to a structured format within a relational database. We have tested this application through the input of information from several CPG. The application is a prototype for a more advanced tool. We have used this prototype to enter several CPGs and have demonstrated its effectiveness in inputting guideline content into a knowledge base.

Artificial Intelligence↗

Electronically distributed, computer-generated, individualized feedback enhances the use of a computerized practice guideline.

Clinical guidelines have been developed to assist with the management of patient care; however, these guidelines are frequently neglected in clinical practice. Computer-generated reminders enhance guideline use, but these systems often fail to achieve high rates of guideline utilization. This study was designed to test the hypothesis that computer-generated, individualized feedback regarding adherence to care guidelines will significantly improve clinician compliance with guideline recommendations presented through a computer-assisted management protocol. Half of the 45 primary care clinicians employed at a primary care clinic affiliated with an academic medical center, were randomized to receive a biweekly electronic mail message consisting of a computer-generated report summarizing his/her response to care guideline recommendations for the diabetic patients seen during the previous 2 weeks. Clinician compliance with guideline recommendations was the primary outcome measure. This study demonstrated that the intervention significantly increased clinician compliance with the guideline recommendations without incurring high maintenance expenses. Median compliance among the intervention group was 35% versus 6.1% among the control group (p < 0.01). Electronically distributed, computer-generated, individualized feedback regarding clinician use of care guideline recommendations is an effective way to enhance compliance with a care guideline.

Attitude to Computers↗

Documenting data delivery: design, deployment, and decision.

Developing and deploying informatics solutions which are useful and acceptable to busy physicians are challenging tasks. We describe the design, deployment, and evaluation process by which the delivery of routine clinical laboratory reports is automated using electronic mail. Data from TMR, an operational computer-based patient record (CPR), are presented to providers using an individualized, modern interface. This system is compared to the existing, paper-based system for delivery of data from the same CPR. Differences between the two systems of data delivery are analyzed, with emphases on 1) electronic documentation of data delivery and receipt, 2) electronic and/or paper documentation of clinical action taken as a result of laboratory reports, 3) timeliness of report availability, 4) costs, 5) workflow compatibility, and 6) physician satisfaction. The new delivery system employs inexpensive, commercially available software applications and entails only trivial changes to the proprietary CPR. Built into the new system are features which allow quantitative measurements of its performance for analysis along with survey-based user satisfaction data. The open systems design is deliberately non-proprietary, inexpensive, and generalizable. Accordingly, it offers practical possibilities for settings in which clinical information systems are just being planned, as well as for those in which such systems are already established.

Clinical Laboratory Information Systems↗

Converting a legacy system database into relational format to enhance query efficiency.

The analysis of clinical data collected over time can provide important insight into the health care process. Unfortunately, much of the electronic clinical data that exists today is stored in legacy systems, making it difficult to access and share the information. An approach is needed to improve the accessibility of electronic data stored in legacy system databases. In this study, a legacy database is converted into a relational format in the personal computer environment. The impact of such a conversion on query performance is evaluated, and issues that need to be considered when converting a legacy system database are identified.

Computer Systems↗

A model for adapting clinical guidelines for electronic implementation in primary care.

Medical informaticians who seek to implement clinical guidelines by computer must be aware of a significant gap that exists between guideline development and utilization. In order to be effective, guideline recommendations must be followed by clinicians; in order for clinicians to follow willingly, they must agree with the guidelines. This paper presents a model process for building consensus among clinicians that can be used to obtain support for guideline recommendations prior to their electronic implementation. This approach involves initial presentation of the guidelines by a specialist, iterative cycles of surveying clinicians' opinions about the guidelines and revising the guidelines, supervision of the process by a practice opinion leader, and final group discussion of the revised guidelines to reach consensus. This model was successfully used to adapt guidelines for the continuing care of patients with diabetes mellitus that were subsequently implemented electronically with broad support of the primary care clinicians using them. The model minimized the need for lengthy group discussion by surveying individuals' attitudes and working through a practice opinion leader to gain consensus support for the guidelines. An efficient approach for developing support for guidelines among practitioners will facilitate the electronic implementation of guidelines and lead to enhanced compliance with guidelines after implementation.

Delphi Technique↗

Development and evaluation of a Computer-Assisted Management Protocol (CAMP): improved compliance with care guidelines for diabetes mellitus.

Disease-specific standards for directing patient management are becoming increasingly important. These standards, however, are often not followed because they are not sufficiently integrated into the clinical care setting. In this study we describe the development and evaluation of a Computer-Assisted Management Protocol (CAMP) of care guidelines for diabetes mellitus. While other studies have shown improved compliance with rule-based reminders, the CAMP customizes disease-specific care guidelines to individual patients over time. We evaluated the effect of the CAMP on compliance with guidelines in a prospective, randomized controlled study. The study was performed at a family practice clinic where much of the patient record is maintained electronically on The Medical Record (TMR). The management protocol was developed from standards published by the American Diabetes Association. Fifty-eight providers were randomized to either receive or not receive the CAMP for diabetes. Compliance with standards was assessed by chart audits of all encounters with diabetic patients during the study interval. The following conclusion was made: the Computer-Assisted Management Protocol resulted in a statistically significant improvement in compliance with diabetes care standards.

Diabetes Mellitus↗

Nucleotide sequence, expression, and chromosomal mapping of Mrp and mapping of five related sequences.

We isolated and characterized a genomic clone for the mouse MARCKS-related protein, or MRP, also known as F52 and MacMARCKS. A 3699-bp plasmid contained 407 bp of 5'-flanking region, 186 bp of 5'-untranslated region, 600 bp of protein coding region, 784 bp of a single intron, 746 bp of 3'-untranslated region, and 976 bp of 3'-flanking region. The position of the single intron was identical to the intron position in all known MARCKS mRNAs. When the plasmid containing the genomic sequences was transfected into fibroblasts lacking endogenous Mrp expression, the 407 bp of promoter conferred high-level expression of the full-length, spliced mRNA. The putative promoter was therefore functional; however, despite tissue-specific regulation and transcriptional induction in some cells in a manner similar to that seen with MARCKS expression, the promoters were highly dissimilar at the level of primary sequence (37% identity over 407 bp). Mrp mapped to a position on mouse chromosome 4 that was closely linked to the Lck locus. Numerous additional species that hybridized to the MRP cDNA were noted on Southern blotting of mouse genomic DNA. Five related loci were labeled Mrp-rs1 through Mrp-rs5 (for Mrp-related sequences) and were mapped to mouse chromosomes 10, 17, 15, 13, and X, respectively. Three of these related sequences have been cloned, and all appear to represent pseudogenes.

3T3 Cells↗

The thymic microenvironment. Characterization of in vitro differentiation of the IT26R21 rat thymic epithelial cell line.

We have previously postulated an in vivo pathway of thymic epithelial (TE) cell maturation in pre- and postnatal thymus, whereby endocrine medullary TE cells terminally differentiate to form Hassall's bodies. Epithelial-cell differentiation has been well documented in vitro using epidermal keratinocytes. Therefore, to characterize TE-cell differentiation in vitro, we observed clones of the rat TE cell line, IT26R21, after 4 and 14 days in culture. We found alterations in cell morphology, the cessation of cell proliferation, and the acquisition of a differentiation antigen defined by monoclonal antibody TE-19 (a marker of terminally differentiated epithelial cells). At light and electron microscopy, we detected progressive TE-cell stratification and squamous-cell formation between 4 and 14 days of culture. Autoradiography on day 14 showed that squamous TE cells in stratified layers did not incorporate tritiated thymidine, while surrounding smaller cells adhering to the substratum continued to synthesize DNA. At indirect immunofluorescence, only 3% of cells reacted with monoclonal antibody TE-19 at day 4, while on day 14, 22% of the TE cells were TE-19 positive (P less than 0.02). Antibody-TE-19 reactivity was limited to stratified, squamous TE cells. Additionally, we isolated a clone of the IT26R21 cell line that did not undergo these changes characteristic of TE cell differentiation. We conclude that IT26R21 TE cells are capable of undergoing programs of both terminal differentiation and cell renewal in vitro.

Animals↗