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Digital Future of Emergency Medical Services: Envisioning and Usability of Electronic Patient Care Report System. ADVANCES IN HUMAN-COMPUTER INTERACTION 2022. [DOI: 10.1155/2022/6012241] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
Despite the efforts of emerging technologies in the healthcare system, there is still a slower rate of acceleration in prehospital settings compared with the hospitals in digital transformation adaptation. The acknowledgment that digital transformation is significant to healthcare is reflected in planning for the future of digital healthcare. Thus, this study aimed to measure the usability of the electronic patient care report (ePCR) system among emergency medical services (EMS) staff who work in prehospital settings. A descriptive cross-sectional correlation study was used. Two hundred fifty EMS staff who are working in the prehospital setting at Saudi Red Crescent Authority in the Kingdom of Saudi Arabia were surveyed, and the response rate was 79.2% (198). An adapted tool of the Computer System Usability Questionnaire survey was used to collect data. The data were coded numerically and subjected to descriptive and inferential statistical analysis including Pearson’s correlation coefficient using the statistical software (SPSS 21). The majority of the participants rate their ePCR system as “useable” at a high level with a score of 3.41 (SD = 1.021). The overall mean of the ePCR system’s three subscales: system usefulness, information quality, interface quality, and overall satisfaction were 3.39 (SD = 1.152), 3.30 (SD = 1.052), 3.57 (SD = 1.064), and 3.37 (SD = 1.239), respectively. The least liked aspect of ePCR system software was information quality 81 (40.9%). Furthermore, there was a significant correlation between the age of EMS staff and the usability of the ePCR system (r = −0.150
,
). The results suggest that healthcare institutions’ policy and decision-makers pay close attention to performing standardized training for the staff on their ePCR system before going to the field to increase efficiency and productivity. Furthermore, the users in this study identified other system features that, if included, could have enhanced usability, and improved functions and capabilities of the design to meet the EMS staff’s expectations.
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Interactive exploration of a global clinical network from a large breast cancer cohort. NPJ Digit Med 2022; 5:113. [PMID: 35948579 PMCID: PMC9365762 DOI: 10.1038/s41746-022-00647-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Accepted: 06/27/2022] [Indexed: 11/08/2022] Open
Abstract
Despite unprecedented amount of information now available in medical records, health data remain underexploited due to their heterogeneity and complexity. Simple charts and hypothesis-driven statistics can no longer apprehend the content of information-rich clinical data. There is, therefore, a clear need for powerful interactive visualization tools enabling medical practitioners to perceive the patterns and insights gained by state-of-the-art machine learning algorithms. Here, we report an interactive graphical interface for use as the front end of a machine learning causal inference server (MIIC), to facilitate the visualization and comprehension by clinicians of relationships between clinically relevant variables. The widespread use of such tools, facilitating the interactive exploration of datasets, is crucial both for data visualization and for the generation of research hypotheses. We demonstrate the utility of the MIIC interactive interface, by exploring the clinical network of a large cohort of breast cancer patients treated with neoadjuvant chemotherapy (NAC). This example highlights, in particular, the direct and indirect links between post-NAC clinical responses and patient survival. The MIIC interactive graphical interface has the potential to help clinicians identify actionable nodes and edges in clinical networks, thereby ultimately improving the patient care pathway.
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Dugas M, Wang W, Crowley K, Iyer AK, Peeples M, Shomali M, Gao G(G. Engagement and Outcomes Associated with Contextual Annotation Features of a Digital Health Solution. J Diabetes Sci Technol 2022; 16:804-811. [PMID: 33355003 PMCID: PMC9264428 DOI: 10.1177/1932296820976409] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND Digital health solutions targeting diabetes self-care are popular and promising, but important questions remain about how these tools can most effectively help patients. Consistent with evidence of the salutary effects of note-taking in education, features that enable annotation of structured data entry might enhance the meaningfulness of the interaction, thereby promoting persistent use and benefits of a digital health solution. METHOD To examine the potential benefits of note-taking, we explored how patients with type 2 diabetes used annotation features of a digital health solution and assessed the relationship between annotation and persistence in engagement as well as improvements in glycated hemoglobin (A1C). Secondary data from 3142 users of the BlueStar digital health solution collected between December 2013 and June 2017 were analyzed, with a subgroup of 372 reporting A1C lab values. RESULTS About a third of patients recorded annotations while using the platform. Annotation themes largely reflected self-management behaviors (diet, physical activity, medication adherence) and well-being (mood, health status). Early use of contextual annotations was associated with greater engagement over time and with greater improvements in A1C. CONCLUSIONS Our research provides preliminary evidence of the benefits of annotation features in a digital health solution. Future research is needed to assess the causal impact of note-taking and the moderating role of thematic content reflected in notes.
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Affiliation(s)
- Michelle Dugas
- Center for Health Information and
Decision Systems, Robert H. Smith School of Business, University of Maryland,
College Park, MD, USA
- Michelle Dugas, PhD, Center for Health
Information and Decision Systems, University of Maryland, 4328 Van Munching
Hall, Robert H. Smith School of Business, College Park, MD 20742, USA.
| | - Weiguang Wang
- Center for Health Information and
Decision Systems, Robert H. Smith School of Business, University of Maryland,
College Park, MD, USA
| | - Kenyon Crowley
- Center for Health Information and
Decision Systems, Robert H. Smith School of Business, University of Maryland,
College Park, MD, USA
| | | | | | | | - Guodong (Gordon) Gao
- Center for Health Information and
Decision Systems, Robert H. Smith School of Business, University of Maryland,
College Park, MD, USA
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Habibzadeh H, Dinesh K, Shishvan OR, Boggio-Dandry A, Sharma G, Soyata T. A Survey of Healthcare Internet-of-Things (HIoT): A Clinical Perspective. IEEE INTERNET OF THINGS JOURNAL 2020; 7:53-71. [PMID: 33748312 PMCID: PMC7970885 DOI: 10.1109/jiot.2019.2946359] [Citation(s) in RCA: 59] [Impact Index Per Article: 14.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/05/2023]
Abstract
In combination with current sociological trends, the maturing development of IoT devices is projected to revolutionize healthcare. A network of body-worn sensors, each with a unique ID, can collect health data that is orders-of-magnitude richer than what is available today from sporadic observations in clinical/hospital environments. When databased, analyzed, and compared against information from other individuals using data analytics, HIoT data enables the personalization and modernization of care with radical improvements in outcomes and reductions in cost. In this paper, we survey existing and emerging technologies that can enable this vision for the future of healthcare, particularly in the clinical practice of healthcare. Three main technology areas underlie the development of this field: (a) sensing, where there is an increased drive for miniaturization and power efficiency; (b) communications, where the enabling factors are ubiquitous connectivity, standardized protocols, and the wide availability of cloud infrastructure, and (c) data analytics and inference, where the availability of large amounts of data and computational resources is revolutionizing algorithms for individualizing inference and actions in health management. Throughout the paper, we use a case study to concretely illustrate the impact of these trends. We conclude our paper with a discussion of the emerging directions, open issues, and challenges.
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Affiliation(s)
- Hadi Habibzadeh
- Department of Electrical and Computer Engineering, SUNY Albany, Albany NY, 12203
| | - Karthik Dinesh
- Department of Electrical and Computer Engineering, University of Rochester, Rochester, NY 14627
| | - Omid Rajabi Shishvan
- Department of Electrical and Computer Engineering, SUNY Albany, Albany NY, 12203
| | - Andrew Boggio-Dandry
- Department of Electrical and Computer Engineering, SUNY Albany, Albany NY, 12203
| | - Gaurav Sharma
- Department of Electrical and Computer Engineering, University of Rochester, Rochester, NY 14627
| | - Tolga Soyata
- Department of Electrical and Computer Engineering, SUNY Albany, Albany NY, 12203
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Ledesma A, Bidargaddi N, Strobel J, Schrader G, Nieminen H, Korhonen I, Ermes M. Health timeline: an insight-based study of a timeline visualization of clinical data. BMC Med Inform Decis Mak 2019; 19:170. [PMID: 31438942 PMCID: PMC6704521 DOI: 10.1186/s12911-019-0885-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2018] [Accepted: 07/31/2019] [Indexed: 11/10/2022] Open
Abstract
Background The increasing complexity and volume of clinical data poses a challenge in the decision-making process. Data visualizations can assist in this process by speeding up the time required to analyze and understand clinical data. Even though empirical experiments show that visualizations facilitate clinical data understanding, a consistent method to assess their effectiveness is still missing. Methods The insight-based methodology determines the quality of insights a user acquires from the visualization. Insights receive a value from one to five points based on a domain-specific criteria. Five professional psychiatrists took part in the study using real de-identified clinical data spanning 4 years of medical history. Results A total of 50 assessments were transcribed and analyzed. Comparing a total of 558 insights using Health Timeline and 576 without, the mean value using the Timeline (1.7) was higher than without (1.26; p<0.01), similarly the cumulative value with the Timeline (11.87) was higher than without (10.96: p<0.01). The average time required to formulate the first insight with the Timeline was higher (13.16 s) than without (7 s; p<0.01). Seven insights achieved the highest possible value using Health Timeline while none were obtained without it. Conclusions The Health Timeline effectively improved understanding of clinical data and helped participants recognize complex patterns from the data. By applying the insight-based methodology, the effectiveness of the Health Timeline was quantified, documented and demonstrated. As an outcome of this exercise, we propose the use of such methodologies to measure the effectiveness of visualizations that assist the clinical decision-making process. Electronic supplementary material The online version of this article (10.1186/s12911-019-0885-x) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Andres Ledesma
- Tampere University, Faculty of Medicine and Health Technology, Tampere, Finland.
| | - Niranjan Bidargaddi
- College of Medicine & Public Health, Flinders University, Medical Sciences Rd, Adelaide, Australia
| | - Jörg Strobel
- Discipline of Psychiatry, The Queen Elizabeth Hospital, South Australia, University of Adelaide, 28 Woodville Rd, Woodville South, Adelaide, Australia
| | - Geoffrey Schrader
- Country Health Local Health Network, South Australia, and Flinders University, Medical Sciences Rd, Adelaide, Australia
| | - Hannu Nieminen
- Tampere University, Faculty of Medicine and Health Technology, Tampere, Finland
| | - Ilkka Korhonen
- Tampere University, Faculty of Medicine and Health Technology, Tampere, Finland
| | - Miikka Ermes
- VTT Technical Research Center Ltd, Tekniikankatu 1, Tampere, Finland
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Morey SA, Stuck RE, Chong AW, Barg-Walkow LH, Mitzner TL, Rogers WA. Mobile Health Apps: Improving Usability for Older Adult Users. ERGONOMICS IN DESIGN 2019. [DOI: 10.1177/1064804619840731] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
With smartphone use among older populations on the rise, older adults have increased access to health-focused mobile apps. Despite their potential benefits for managing health, currently no guidelines exist for designing these apps specifically for older adult users. We evaluated the usability of one medication management app and two congestive heart failure management apps using cognitive walkthroughs, heuristic analysis, and user testing. We identified design issues that may affect usability for older users, including poor navigation, small button sizes, and inadequate data visualizations. We provide guidelines for developers of health apps to facilitate use by older adults.
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Fernandez-Luque L, Singh M, Ofli F, Mejova YA, Weber I, Aupetit M, Jreige SK, Elmagarmid A, Srivastava J, Ahmedna M. Implementing 360° Quantified Self for childhood obesity: feasibility study and experiences from a weight loss camp in Qatar. BMC Med Inform Decis Mak 2017; 17:37. [PMID: 28403865 PMCID: PMC5390457 DOI: 10.1186/s12911-017-0432-6] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2016] [Accepted: 03/25/2017] [Indexed: 11/10/2022] Open
Abstract
Background The explosion of consumer electronics and social media are facilitating the rise of the Quantified Self (QS) movement where millions of users are tracking various aspects of their daily life using social media, mobile technology, and wearable devices. Data from mobile phones, wearables and social media can facilitate a better understanding of the health behaviors of individuals. At the same time, there is an unprecedented increase in childhood obesity rates worldwide. This is a cause for grave concern due to its potential long-term health consequences (e.g., diabetes or cardiovascular diseases). Childhood obesity is highly prevalent in Qatar and the Gulf Region. In this study we examine the feasibility of capturing quantified-self data from social media, wearables and mobiles within a weight lost camp for overweight children in Qatar. Methods Over 50 children (9–12 years old) and parents used a wide range of technologies, including wearable sensors (actigraphy), mobile and social media (WhatsApp and Instagram) to collect data related to physical activity and food, that was then integrated with physiological data to gain insights about their health habits. In this paper, we report about the acquired data and visualization techniques following the 360° Quantified Self (360QS) methodology (Haddadi et al., ICHI 587–92, 2015). Results 360QS allows for capturing insights on the behavioral patterns of children and serves as a mechanism to reinforce education of their mothers via social media. We also identified human factors, such as gender and cultural acceptability aspects that can affect the implementation of this technology beyond a feasibility study. Furthermore, technical challenges regarding the visualization and integration of heterogeneous and sparse data sets are described in the paper. Conclusions We proved the feasibility of using 360QS in childhood obesity through this pilot study. However, in order to fully implement the 360QS technology careful planning and integration in the health professionals’ workflow is needed. Trial Registration The trial where this study took place is registered at ClinicalTrials.gov on 14 November 2016 (NCT02972164).
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Affiliation(s)
- Luis Fernandez-Luque
- Qatar Computing Research Institute, Hamad bin Khalifa University, HBKU Research Complex, Qatar Foundation, Education City, Doha, Qatar.
| | - Meghna Singh
- Qatar Computing Research Institute, Hamad bin Khalifa University, HBKU Research Complex, Qatar Foundation, Education City, Doha, Qatar
| | - Ferda Ofli
- Qatar Computing Research Institute, Hamad bin Khalifa University, HBKU Research Complex, Qatar Foundation, Education City, Doha, Qatar
| | - Yelena A Mejova
- Qatar Computing Research Institute, Hamad bin Khalifa University, HBKU Research Complex, Qatar Foundation, Education City, Doha, Qatar
| | - Ingmar Weber
- Qatar Computing Research Institute, Hamad bin Khalifa University, HBKU Research Complex, Qatar Foundation, Education City, Doha, Qatar
| | - Michael Aupetit
- Qatar Computing Research Institute, Hamad bin Khalifa University, HBKU Research Complex, Qatar Foundation, Education City, Doha, Qatar
| | - Sahar Karim Jreige
- Department of Human Nutrition, College of Health Sciences, Qatar University, Doha, Qatar
| | - Ahmed Elmagarmid
- Qatar Computing Research Institute, Hamad bin Khalifa University, HBKU Research Complex, Qatar Foundation, Education City, Doha, Qatar
| | - Jaideep Srivastava
- Qatar Computing Research Institute, Hamad bin Khalifa University, HBKU Research Complex, Qatar Foundation, Education City, Doha, Qatar
| | - Mohamed Ahmedna
- Department of Human Nutrition, College of Health Sciences, Qatar University, Doha, Qatar
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Belli L, Schwartz M, Louzada L. Selling your soul while negotiating the conditions: from notice and consent to data control by design. HEALTH AND TECHNOLOGY 2017. [DOI: 10.1007/s12553-017-0185-3] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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