Browsing by Subject "Remote monitoring"

Now showing 1 - 6 of 6
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    Artificial Intelligence, Wearables and Remote Monitoring for Heart Failure: Current and Future Applications
    (MDPI, 2022-11-26) Gautam, Nitesh; Ghanta, Sai Nikhila; Mueller, Joshua; Mansour, Munthir; Chen, Zhongning; Puente, Clara; Ha, Yu Mi; Tarun, Tushar; Dhar, Gaurav; Sivakumar, Kalai; Zhang, Yiye; Halimeh, Ahmed Abu; Nakarmi, Ukash; Al-Kindi, Sadeer; DeMazumder, Deeptankar; Al’Aref, Subhi J.; Medicine, School of Medicine
    Substantial milestones have been attained in the field of heart failure (HF) diagnostics and therapeutics in the past several years that have translated into decreased mortality but a paradoxical increase in HF-related hospitalizations. With increasing data digitalization and access, remote monitoring via wearables and implantables have the potential to transform ambulatory care workflow, with a particular focus on reducing HF hospitalizations. Additionally, artificial intelligence and machine learning (AI/ML) have been increasingly employed at multiple stages of healthcare due to their power in assimilating and integrating multidimensional multimodal data and the creation of accurate prediction models. With the ever-increasing troves of data, the implementation of AI/ML algorithms could help improve workflow and outcomes of HF patients, especially time series data collected via remote monitoring. In this review, we sought to describe the basics of AI/ML algorithms with a focus on time series forecasting and the current state of AI/ML within the context of wearable technology in HF, followed by a discussion of the present limitations, including data integration, privacy, and challenges specific to AI/ML application within healthcare.
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    Clinician use of data elements from cardiovascular implantable electronic devices in clinical practice
    (Elsevier, 2023-01-20) Daley, Carly; Coupe, Amanda; Allmandinger, Tina; Shirazi, Jonathan; Wagner, Shauna; Drouin, Michelle; Ahmed, Ryan; Toscos, Tammy; Mirro, Michael; BioHealth Informatics, School of Informatics and Computing
    Background: Cardiovascular implantable electronic devices (CIEDs) capture an abundance of data for clinicians to review and integrate into the clinical decision-making process. The multitude of data from different device types and vendors presents challenges for viewing and using the data in clinical practice. Efforts are needed to improve CIED reports by focusing on key data elements used by clinicians. Objective: The purpose of this study was to uncover the extent to which clinicians use the specific types of data elements from CIED reports in clinical practice and explore clinicians' perceptions of CIED reports. Methods: A brief, web-based, cross-sectional survey study was deployed using snowball sampling from March 2020 through September 2020 to clinicians who are involved in the care of patients with CIEDs. Results: Among 317 clinicians, the majority specialized in electrophysiology (EP) (80.1%), were from North America (88.6%), and were white (82.2%). Over half (55.3%) were physicians. Arrhythmia episodes and ventricular therapies rated the highest among 15 categories of data presented, and nocturnal or resting heart rate and heart rate variability were rated the lowest. As anticipated, clinicians specializing in EP reported using the data significantly more than other specialties across nearly all categories. A subset of respondents offered general comments describing preferences and challenges related to reviewing reports. Conclusion: CIED reports contain an abundance of information that is important to clinicians; however, some data are used more frequently than others, and reports could be streamlined for users to improve access to key information and facilitate more efficient clinical decision making.
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    Data Integration and Interoperability for Patient-Centered Remote Monitoring of Cardiovascular Implantable Electronic Devices
    (MDPI, 2019-03-17) Daley, Carly; Toscos, Tammy; Mirro, Michael; BioHealth Informatics, School of Informatics and Computing
    The prevalence of cardiovascular implantable electronic devices with remote monitoring capabilities continues to grow, resulting in increased volume and complexity of biomedical data. These data can provide diagnostic information for timely intervention and maintenance of implanted devices, improving quality of care. Current remote monitoring procedures do not utilize device diagnostics to their potential, due to the lack of interoperability and data integration among proprietary systems and electronic medical record platforms. However, the development of a technical framework that standardizes the data and improves interoperability shows promise for improving remote monitoring. Along with encouraging the implementation of this framework, we challenge the current paradigm and propose leveraging the framework to provide patients with their remote monitoring data. Patient-centered remote monitoring may empower patients and improve collaboration and care with health care providers. In this paper, we describe the implementation of technology to deliver remote monitoring data to patients in two recent studies. Our body of work explains the potential for developing a patent-facing information display that affords the meaningful use of implantable device data and enhances interactions with providers. This paradigm shift in remote monitoring-empowering the patient with data-is critical to using the vast amount of complex and clinically relevant biomedical data captured and transmitted by implantable devices to full potential.
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    Erratum to: Providing Patients with Implantable Cardiac Device Data through a Personal Health Record: A Qualitative Study
    (Thieme Medical Publishers, 2017-10) Daley, Carly N.; Chen, Elizabeth M.; Roebuck, Amelia E.; Ghahari, Romisa Rohani; Sami, Areej F.; Skaggs, Cayla G.; Carpenter, Maria D.; Mirro, Michael J.; Toscos, Tammy R.; BioHealth Informatics, School of Informatics and Computing
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    Involving patients as key stakeholders in the design of cardiovascular implantable electronic device data dashboards: Implications for patient care
    (Elsevier, 2020-05-11) Daley, Carly; Ghahari, Romisa Rohani; Drouin, Michelle; Ahmed, Ryan; Wagner, Shauna; Reining, Lauren; Coupe, Amanda; Toscos, Tammy; Mirro, Michael; BioHealth Informatics, School of Informatics and Computing
    Background: Data from remote monitoring (RM) of cardiovascular implantable electronic devices (CIEDs) currently are not accessible to patients despite demand. The typical RM report contains multiple pages of data for trained technicians to read and interpret and requires a patient-centered approach to be curated to meet individual user needs. Objective: The purpose of this study was to understand which RM data elements are important to patients and to gain design insights for displaying meaningful data in a digital dashboard. Methods: Adults with implantable cardioverter-defibrillators (ICDs) and pacemakers (PMs) participated in this 2-phase, user-centered design study. Phase 1 included a card-sorting activity to prioritize device data elements. Phase 2 included one-on-one design sessions to gather insights and feedback about a visual display (labels and icons). Results: Twenty-nine adults (mean age 71.8 ± 11.6 years; 51.7% female; 89.7% white) participated. Priority data elements for both ICD and PM groups in phase 1 (n = 19) were related to cardiac episodes, device activity, and impedance values. Recommended replacement time for battery was high priority for the PM group but not the ICD group. Phase 2 (n = 10) revealed that patients would like descriptive, nontechnical terms to depict the data and icons that are intuitive and informative. Conclusion: This user-centered design study demonstrated that patients with ICDs and PMs were able to prioritize specific data from a comprehensive list of data elements that they had never seen before. This work contributes to the goal of sharing RM data with patients in a way that optimizes the RM feature of CIEDs for improving patient outcomes and clinical care.
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    Providing Patients with Implantable Cardiac Device Data through a Personal Health Record: A Qualitative Study
    (Thieme, 2017-10) Daley, Carly N.; Chen, Elizabeth M.; Roebuck, Amelia E.; Ghahari, Romisa Rohani; Sami, Areej F.; Skaggs, Cayla G.; Carpenter, Maria D.; Mirro, Michael J.; Toscos, Tammy R.; BioHealth Informatics, School of Informatics and Computing
    Erratum to: Providing Patients with Implantable Cardiac Device Data through a Personal Health Record: A Qualitative Study. [Appl Clin Inform. 2017]