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Computational Cloud Infrastructure for Patient Care
Published in Rishabha Malviya, Pramod Kumar Sharma, Sonali Sundram, Rajesh Kumar Dhanaraj, Balamurugan Balusamy, Bioinformatics Tools and Big Data Analytics for Patient Care, 2023
Urvashi Sharma, Deepika Bairagee, Nitu Singh, Neelam Jain
The application of cloud computing solutions in health information management is known throughout the world as cloud computing technology can bring massive changes to healthcare agencies and organizations. This can provide numerous benefits for the enhancement of health status, in eliminating health disparities, and reducing overall healthcare costs. For instance, American Occupational Network and HyGen Pharmaceuticals are using cloud-based software for the digitalization of health records and the renovation of clinical processes, hence improving patient care services. Other examples are the Canadian government and Mount Sinai Hospital of Toronto, both of which are working in collaboration to build a community cloud that will allow 14 hospitals of their community to access a fetal ultrasound application and stored patient information [57].
Patient Ergonomics in the Wild
Published in Rupa S. Valdez, Richard J. Holden, The Patient Factor, 2021
The definitions of home and community are diverse, depending on the research and practice fields in which they are used. In the context of this chapter, specific to patient ergonomics, we define home as the physical location where one lives, often as a member of a family or household. Home could include locations such as houses, apartments, prisons, or the streets. We define the community as physical or virtual spaces where inhabitants have shared characteristics. These shared community characteristics could be based on factors such as geography (e.g. “my neighborhood”), role (e.g. “my fellow elementary school teachers”), interest (e.g. “my fitness tracking app competitors”), or some combination of these. These settings are often integral to health-related activities such as medication (Mickelson et al., 2016) and health information management (HIM) (Zayas-Cabán, 2012). Whereas healthcare professionals often enter home and community settings (e.g. home healthcare nurses providing services) and many individuals’ homes are located in formal healthcare settings (e.g. individuals living in a nursing home), this chapter does not address the unique complexities of these intersectional settings.
Trusted Digital Solutions and Cybersecurity in Healthcare
Published in Rajarshi Gupta, Dwaipayan Biswas, Health Monitoring Systems, 2019
According to the American Health Information Management Association and the American Medical Informatics Association, a set of basic principles when selecting and using a PHR should be applied [17]. In detail, every person is ultimately responsible for making decisions about his or her health and should have access to his or her complete health information. This should ideally be consolidated in a comprehensive record. The information in the PHR should be understandable to the individual, accurate, reliable, and complete. The integration and secure communication of PHRs with EHRs of providers allows data to be shared between a consumer and his or her healthcare team. People should have control over how their PHR information is accessed, used, and disclosed to concerned parties. All secondary uses of PHR data must be disclosed to the consumer, with an option to opt-out, except as required by law. The operator of a PHR must be accountable to the individual for unauthorized use or disclosure of personal health information.
Patients’ and care partners’ perspectives on the design of a vascular connection for a mobile dialysis device
Published in IISE Transactions on Healthcare Systems Engineering, 2023
Auður Anna Jónsdóttir, Siena Firestone, Larry Kessler, Ji-Eun Kim
After the participants completed and submitted the digital or paper survey to the research coordinator, the research coordinator contacted each participant and scheduled a convenient time slot for a computer-based interview. Each participant subsequently received a weblink via email that guided them to Zoom, the chosen interview platform. Each participant was given the option to participate using only audio or using both audio and video, simulating a virtual meeting. The interview was conducted in a semi-structured one-on-one format that included both open-ended and multiple-choice questions. Each participant completed the interview one day to seven days after they completed the survey. To ensure consistency across interviews, the research coordinator conducted all the interviews following an interview guide (II. Interview Guide for Semi-structured Interview in Appendix B, Supplementary Materials). The research coordinator is a graduate of the Master of Health Informatics and Health Information Management program at the University of Washington and has extensive training and experience in interviewing and data collection.
Applying time-constraint access control of personal health record in cloud computing
Published in Enterprise Information Systems, 2020
Dai-Lun Chiang, Yin-Tzu Huang, Tzer-Shyong Chen, Fei-Pei Lai
American Health Information Management Association (AHIMA) announces the following functions covered in PHR (AHIMA e-HIM Personal Health Record Work Group 2005). Assisting in transferring paper-based medical records to electronic recordsAllowing inputting individual e-prescriptionsSolving the primary health literacy in various cultures and language backgroundsAllowing individuals or agents selectively acquireor formatting dataPortabilityAssisting users in determining and managing their health (e.g. health activity reminder, health risk evaluation, public health, and safety reminder)Flexibly supporting user and family health demands
Home is where the head is: a distributed cognition account of personal health information management in the home among those with chronic illness
Published in Ergonomics, 2018
Nicole E. Werner, Anna F. Jolliff, Gail Casper, Thomas Martell, Kevin Ponto
As part of the health care that happens in the home, patients perform health care activities known as self-management. A subset of self-management, personal health information management (PHIM), refers to actions such as to the storage, organisation, tracking, recording, and seeking of information related to one’s health (MacGregor and Nadine Wathen 2014). Previously performed by health care professionals, the work of PHIM has now been transferred to patients themselves (Unruh and Pratt 2007). Patients use a variety of tools and technologies to assist with PHIM, from simpler artefacts—such as pill organisers, pen and paper, calendars and health-related books—to more advanced technologies, such as patient portals and mobile health applications. The latter technologies, subsumed in a broader category called Health Information Technology (HIT), may be used to passively collect data (e.g. using activity or heart rate monitors), or to more actively schedule e-visits, communicate with health care providers, check lab results and more. The development of HIT must match rapid technological advances and increasing understanding of patient needs. However, we cannot understand patient needs – and as such, develop effective HIT – without understanding the context in which patients perform work (Moray 1994; Wilson 2000). Increasingly, this context is the home environment.