18 research outputs found

    Supporting Collaborative Health Tracking in the Hospital: Patients' Perspectives

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    The hospital setting creates a high-stakes environment where patients' lives depend on accurate tracking of health data. Despite recent work emphasizing the importance of patients' engagement in their own health care, less is known about how patients track their health and care in the hospital. Through interviews and design probes, we investigated hospitalized patients' tracking activity and analyzed our results using the stage-based personal informatics model. We used this model to understand how to support the tracking needs of hospitalized patients at each stage. In this paper, we discuss hospitalized patients' needs for collaboratively tracking their health with their care team. We suggest future extensions of the stage-based model to accommodate collaborative tracking situations, such as hospitals, where data is collected, analyzed, and acted on by multiple people. Our findings uncover new directions for HCI research and highlight ways to support patients in tracking their care and improving patient safety

    A Systematic Analysis of Patient Portals Adoption, Acceptance and Usage: The Trajectory for Triple Aim?

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    Personal Health Records (PHR), often known as patient portal, are consumer-centric tools that can strengthen consumers’ ability to actively manage their own health and healthcare. The incorporation of patient portals provides the promise to assist with Triple Aim and population health goals. Patient portals encourage patients to play a more active role in their healthcare by giving them more responsibility for maintaining a healthy lifestyle and managing chronic diseases and thus may provide a cost-effective way to improve quality of care. In this study, we extend the existing literature by using a data analytic approach to provide more insights in adopting mobile patient portals. Specifically, we aim to use topic modeling approach, LDA algorithm, to systematically analyze users’ feedback (i.e., online users’ reviews) from the actual use of a common mobile patient portal, Epic’s MyChart. To validate the extracted topics, we compared the results of LDA analysis with that of human analysis. Overall, the extracted topics revealed opportunities for improvement and to enhance the design of current basic portals to improve usage. Improved portal usage will move toward effective population health management and achievement of the triple aim goals

    What are the Gaps in Mobile Patient Portal? Mining Users Feedback Using Topic Modeling

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    Patient portals are positioned as a central component of patient engagement through the potential to change the physician-patient relationship and enable chronic disease self-management. In this article, we extend the existing literature by discovering design gaps for patient portals from a systematic analysis of negative users’ feedback from the actual use of patient portals. Specifically, we adopt topic modeling approach, LDA algorithm, to discover design gaps from online low rating user reviews of a common mobile patient portal, EPIC’s mychart. To validate the extracted gaps, we compared the results of LDA analysis with that of human analysis. Overall, the results revealed opportunities to improve collaboration and to enhance the design of portals intended for patient-centered care

    Provider Use of a Novel EHR display in the Pediatric Intensive Care Unit. Large Customizable Interactive Monitor (LCIM)

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    OBJECTIVES: The purpose of this study was to explore providers' perspectives on the use of a novel technology, "Large Customizable Interactive Monitor" (LCIM), a novel application of the electronic health record system implemented in a Pediatric Intensive Care Unit. METHODS: We employed a qualitative approach to collect and analyze data from pediatric intensive care physicians, pediatric nurse practitioners, and acute care specialists. Using semi-structured interviews, we collected data from January to April, 2015. The research team analyzed the transcripts using an iterative coding method to identify common themes. RESULTS: Study results highlight contextual data on providers' use routines of the LCIM. Findings from thirty six interviews were classified into three groups: 1) providers' familiarity with the LCIM; 2) providers' use routines (i.e. when and how they use it); and 3) reasons why they use or do not use it. CONCLUSION: It is important to conduct baseline studies of the use of novel technologies. The importance of training and orientation affects the adoption and use patterns of this new technology. This study is notable for being the first to investigate a LCIM system, a next generation system implemented in the pediatric critical care setting. Our study revealed this next generation HIT might have great potential for family-centered rounds, team education during rounds, and family education/engagement in their child's health in the patient room. This study also highlights the effect of training and orientation on the adoption patterns of new technology

    Providers' assessment of a novel interactive health information technology in a pediatric intensive care unit

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    Objective: To explore perceptions of critical care providers about a novel collaborative inpatient health information technology (HIT) in a pediatric intensive care unit (PICU) setting. Methods: This cross-sectional, concurrent mixed methods study was conducted in the PICU of a large midwestern children's hospital. The technology, the Large Customizable Interactive Monitor (LCIM), is a flat panel touch screen monitor that displays validated patient information from the electronic health record. It does not require a password to login and is available in each patient's room for viewing and interactive use by physicians, nurses, and families. Quantitative data were collected via self-administered, standardized surveys, and qualitative data via in-person, semistructured interviews between January and April 2015. Data were analyzed using descriptive statistics and inductive thematic analysis. Results: The qualitative analysis showed positive impacts of the LCIM on providers' workflow, team interactions, and interactions with families. Providers reported concerns regarding perceived patient information overload and associated anxiety and burden for families. Sixty percent of providers thought that LCIM was useful for their jobs at different levels, and almost 70% of providers reported that LCIM improved information sharing and communication with families. The average overall satisfaction score was 3.4 on a 0 to 6 scale, between "a moderate amount" and "pretty much." Discussion and Conclusion: This study provides new insight into collaborative HIT in the inpatient pediatric setting and demonstrates that using such technology has the potential to improve providers' experiences with families and just-in-time access to EHR information in a format more easily shared with families

    Towards actionable knowledge: A systematic analysis of mobile patient portal use

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    As the aging population grows, chronic illness increases, and our healthcare costs sharply increase, patient portals are positioned as a central component of patient engagement through the potential to change the physician-patient relationship and enable chronic disease self-management. A patient’s engagement in their healthcare contributes to improving health outcomes, and information technologies can support health engagement. In this chapter, we extend the existing literature by discovering design gaps for patient portals from a systematic analysis of negative users’ feedback from the actual use of patient portals. Specifically, we adopt a topic modeling approach, latent Dirichlet allocation (LDA) algorithm, to discover design gaps from online low rating user reviews of a common mobile patient portal, EPIC’s mychart. To validate the extracted gaps, we compared the results of LDA analysis with that of human analysis. Overall, the results revealed opportunities to improve collaboration and to enhance the design of portals intended for patient-centered care. Incorporating these changes may enable the technologies to have stronger position to influence health improvement and wellness

    Patients' perceptions of a pressure ulcer prevention care bundle in hospital : A qualitative descriptive study to guide evidence-based practice

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    Background: Pressure ulcers place a significant burden on patients and hospitals. Our team developed and tested a pressure ulcer prevention care bundle (PUPCB) in a cluster randomized trial. As part of the process evaluation conducted alongside the trial, we explored patients’ perceptions of the intervention. Aims: To identify patients’ perceptions and experiences of a PUPCB in hospital. Methods: This qualitative descriptive study explored the perceptions of a subset of patients who participated in a trial testing the PUPCB across four intervention hospitals. A trained interviewer conducted semistructured interviews, which were digitally recorded, transcribed, and analyzed using thematic analysis. Findings: Nineteen patients were interviewed across the four hospitals. Three main themes emerged: (a) importance of personal contact in PUPCB delivery; (b) understanding pressure ulcer prevention (PUP) enhances participation; and (c) individual factors impact patients’ engagement in PUP. Discussion: The extent to which patients adopted the intervention appeared to be influenced by the complexity of education materials, compatibility with patients’ existing knowledge and beliefs, and perceived advantage of the intervention; ability for human interaction; and patient-related facilitators and barriers to participating in PUP care. Linking Evidence to Action: This study found patients accepted a PUPCB that encouraged participation in care, particularly as it involved personal and positive interactions with nurses and provision of information that was easy to understand and resonated with patients

    Mining User-generated Content of Mobile Patient Portal: Dimensions of User Experience

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    Patient portals are positioned as a central component of patient engagement through the potential to change the physician-patient relationship and enable chronic disease self-management. The incorporation of patient portals provides the promise to deliver excellent quality, at optimized costs, while improving the health of the population. This study extends the existing literature by extracting dimensions related to the Mobile Patient Portal Use. We use a topic modeling approach to systematically analyze users’ feedback from the actual use of a common mobile patient portal, Epic\u27s MyChart. Comparing results of Latent Dirichlet Allocation analysis with those of human analysis validated the extracted topics. Practically, the results provide insights into adopting mobile patient portals, revealing opportunities for improvement and to enhance the design of current basic portals. Theoretically, the findings inform the social-technical systems and Task-Technology Fit theories in the healthcare field and emphasize important healthcare structural and social aspects. Further, findings inform the humanization of healthcare framework, support the results of existing studies, and introduce new important design dimensions (i.e., aspects) that influence patient satisfaction and adherence to patient portal

    Mining User-generated Content of Mobile Patient Portal: Dimensions of User Experience

    Get PDF
    Patient portals are positioned as a central component of patient engagement through the potential to change the physician-patient relationship and enable chronic disease self-management. The incorporation of patient portals provides the promise to deliver excellent quality, at optimized costs, while improving the health of the population. This study extends the existing literature by extracting dimensions related to the Mobile Patient Portal Use. We use a topic modeling approach to systematically analyze users’ feedback from the actual use of a common mobile patient portal, Epic’s MyChart. Comparing results of Latent Dirichlet Allocation analysis with those of human analysis validated the extracted topics. Practically, the results provide insights into adopting mobile patient portals, revealing opportunities for improvement and to enhance the design of current basic portals. Theoretically, the findings inform the social-technical systems and Task-Technology Fit theories in the healthcare field and emphasize important healthcare structural and social aspects. Further, findings inform the humanization of healthcare framework, support the results of existing studies, and introduce new important design dimensions (i.e., aspects) that influence patient satisfaction and adherence to patient portal
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