13 research outputs found

    Implementing an Electronic Medical Record in a Family Medicine Practice: Communication, Decision Making, and Conflict

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    PURPOSE Electronic medical record (EMR) systems offer substantial opportunities to organize and manage clinical data in ways that can potentially improve preventive health care, the management of chronic illness, and the financial health of primary care practices. The functionality of EMRs as implemented, however, can vary substantially from that envisaged by their designers and even from those who purchase the programs. The purpose of this study was to explore how unique aspects of a family medicine office culture affect the initial implementation of an EMR. METHODS As part of a larger study, we conducted a qualitative case study of a private family medicine practice that had recently purchased and implemented an EMR. We collected data using participant observation, in-depth interviews, and key informant interviews. After the initial data collection, we shared our observations with practice members and returned 1 year later to collect additional data. RESULTS Dysfunctional communication patterns, the distribution of formal and informal decision-making power, and internal conflicts limited the effective implementation and use of the EMR. The implementation and use of the EMR made tracking and monitoring of preventive health and chronic illness unwieldy and offered little or no improvement when compared with paper charts. CONCLUSIONS Implementing an EMR without an understanding of the systemic effects and communication and the decision-making processes within an office practice and without methods for bringing to the surface and addressing conflicts limits the opportunities for improved care offered by EMRs. Understanding how these common issues manifest within unique practice settings can enhance the effective implementation and use of EMRs

    Implementing an electronic medical record in a family medicine practice: communication, decision making, and conflict.

    No full text
    PURPOSE: Electronic medical record (EMR) systems offer substantial opportunities to organize and manage clinical data in ways that can potentially improve preventive health care, the management of chronic illness, and the financial health of primary care practices. The functionality of EMRs as implemented, however, can vary substantially from that envisaged by their designers and even from those who purchase the programs. The purpose of this study was to explore how unique aspects of a family medicine office culture affect the initial implementation of an EMR. METHODS: As part of a larger study, we conducted a qualitative case study of a private family medicine practice that had recently purchased and implemented an EMR. We collected data using participant observation, in-depth interviews, and key informant interviews. After the initial data collection, we shared our observations with practice members and returned 1 year later to collect additional data. RESULTS: Dysfunctional communication patterns, the distribution of formal and informal decision-making power, and internal conflicts limited the effective implementation and use of the EMR. The implementation and use of the EMR made tracking and monitoring of preventive health and chronic illness unwieldy and offered little or no improvement when compared with paper charts. CONCLUSIONS: Implementing an EMR without an understanding of the systemic effects and communication and the decision-making processes within an office practice and without methods for bringing to the surface and addressing conflicts limits the opportunities for improved care offered by EMRs. Understanding how these common issues manifest within unique practice settings can enhance the effective implementation and use of EMRs

    Social Network Analysis as an Analytic Tool for Interaction Patterns in Primary Care Practices

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    PURPOSE Social network analysis (SNA) provides a way of quantitatively analyzing relationships among people or other information-processing agents. Using 2 practices as illustrations, we describe how SNA can be used to characterize and compare communication patterns in primary care practices. METHODS Based on data from ethnographic field notes, we constructed matrices identifying how practice members interact when practice-level decisions are made. SNA software (UCINet and KrackPlot) calculates quantitative measures of network structure including density, centralization, hierarchy and clustering coefficient. The software also generates a visual representation of networks through network diagrams. RESULTS The 2 examples show clear distinctions between practices for all the SNA measures. Potential uses of these measures for analysis of primary care practices are described. CONCLUSIONS SNA can be useful for quantitative analysis of interaction patterns that can distinguish differences among primary care practices

    How Complexity Science Can Inform a Reflective Process for Improvement in Primary Care Practices.

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    BACKGROUND: Quality improvement processes have sometimes met with limited success in small, independent primary care settings. The theoretical framework for these processes uses an implied understanding of organizations as predictable with potentially controllable components. However, most organizations are not accurately described using this framework. Complexity science provides a better fit for understanding small primary care practices. METHODS: The Multimethod Assessment Process (MAP)/Reflective Adaptive Process (RAP) is informed by complexity science. This process was developed in a series of studies designed to understand and improve primary care practice. A case example illustrates the application and impact of the MAP/RAP process. RESULTS: Guiding principles for a reflective change process include the following: an understanding of practices\u27 vision and mission is useful in guiding change, learning and reflection helps organizations adapt to and plan change, tension and discomfort are essential and normal during change, and diverse perspectives foster adaptability and new insights for positive change. DISCUSSION: A reflective change process that treats organizations as complex adaptive systems may help practices make sustainable improvements

    Macromolecular interactions in vitro, comparing classical and novel approaches

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    International audienceBiophysical quantification of protein interactions is central to unveil the molecular mechanisms of cellular processes. Researchers can choose from a wide panel of biophysical methods that quantify molecular interactions in different ways, including both classical and more novel techniques. We report the outcome of an ARBRE-MOBIEU training school held in June 2019 in Gif-sur-Yvette, France (https://mosbio.sciencesconf.org/). Twenty European students benefited from a week’s training with theoretical and practical sessions in six complementary approaches: (1) analytical ultracentrifugation with or without a fluorescence detector system (AUC-FDS), (2) isothermal titration calorimetry (ITC), (3) size exclusion chromatography coupled to multi-angle light scattering (SEC-MALS), (4) bio-layer interferometry (BLI), (5) microscale thermophoresis (MST) and, (6) switchSENSE. They implemented all these methods on two examples of macromolecular interactions with nanomolar affinity: first, a protein–protein interaction between an artificial alphaRep binder, and its target protein, also an alphaRep; second, a protein-DNA interaction between a DNA repair complex, Ku70/Ku80 (hereafter called Ku), and its cognate DNA ligand. We report the approaches used to analyze the two systems under study and thereby showcase application of each of the six techniques. The workshop provided students with improved understanding of the advantages and limitations of different methods, enabling future choices concerning approaches that are most relevant or informative for specific kinds of sample and interaction
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