Need Help with this Question or something similar to this? We got you! Just fill out the order form (follow the link below), and your paper will be assigned to an expert to help you ASAP.
reply to post:
Erica Coates
RE: Discussion – Week 6
The National Science Foundation (NSF) has created a program called the Smart Health and Biomedical Research in the Era of Artificial Intelligence (AI) and Advanced Data Science (SCH); an interagency program used to assist in the development of “transformative high-risk, high-reward” cultivation in computer and information science, engineering, and behavioral and cognitive research used to explain the unanswered questions in the biomedical and public health communities (NSF, 2020). Their interdisciplinary teams use innovation and transformation to forge new ideas to collect, sense, connect, analyze, and interpret data from individuals, systems, and devices to make new discoveries and optimize healthcare (NSF, 2020). SCH, AI, and the Internet of Things (IoT) advances healthcare through creation of new healthcare services such as telehealth and telemedicine, electronic health records (EHR), and sensing methodologies for health monitoring (Navaz et al., 2021)(Yang et al., 2022).
New technology does not come without new risks. IoT-enabled SCH puts patient privacy at risk through SCH applications like big data (Navaz et al., 2021). Patient information collected through these applications can be breached, copied, or altered by unauthorized personnel (Navaz et al., 2021). Attacks such as these can even result in death due to interruptions in services, such as life-monitoring systems such as life support (Navaz et al., 2021). While voice-activated assistants are beneficial, they too are a risk due other devices that are able to listen in the background (Navaz et al., 2021).
EHRs allow patients to access their own health records, allow them to communicate with their care providers, and see all their medical information, from various providers combined in one place. EHRs provide a more seamless flow of information between providers and patient-provider relationships (HIT, 2017). In 2009, the Health Information Technology for Economic and Clinical Health Act (HITEC) was passed into law in order to focus on patients and their patient data, access, innovation, and movement within the United States healthcare system (Ebeling, 2019). The HITEC Act was created to empower patients so they could take control and responsibility over their own care (Ebeling, 2019). While EHR systems originally promised a reduction in errors but in a study conducted in 2008, results revealed errors increased; 3,789 reported cases of patient safety hazards including those resulting in death or serious injury, were generated by the EHR due to software malfunction or inoperability issues (Ebeling, 2019).
Of all the healthcare technologies available, I believe using technology to communicate and involve patients and families in their care, will prove to be the most valuable. For instance, Dykes et al. (2017), conducted multiple studies see how they could improve team communication and patient engagement, along with their care partners, in the ICU. They created a structured, patient-centered care and engagement education and training program using web-based technology (Dykes et al., 2017). The training included an ICU safety checklist, tools used to develop a shared care plan, and a messaging platform that both the patient and their care partner can access in their online portal; it can be used so the care partner can participate in the plan and communicate with the patient’s providers (Dykes et al., 2017). After implementing this program, the ICUs adverse events (AE) were one-third lower than previously recorded and patient-partner satisfaction scored increased as well (Dykes et al., 2017).
Reference:
Dykes, P. C., Rozenblum, R., Dalal, A., Massaro, A., Chang, F., Clements, M., Collins, S., Donze, J., Fagan, M., Gazarian, P., Hanna, J., Lehmann, L., Leone, K., Lipsitz, S., McNally, K., Morrison, C., Samal, L., Mlaver, E., Schnock, K., … Bates, D. W. (2017). Prospective evaluation of a multifaceted intervention to improve outcomes in intensive care. Critical Care Medicine, 45(8). https://doi.org/10.1097/ccm.0000000000002449
Ebeling, M. F. E. (2019). Patient disempowerment through the commercial access to digital health records. Health: An Interdisciplinary Journal for the Social Study of Health, Illness and Medicine, 23(4), 385–400. https://doi.org/10.1177/1363459319848038
Health Information Technology. (2017, October 5). Benefits of EHRs. HealthIT.gov. https://www.healthit.gov/topic/health-it-and-health-information-exchange-basics/benefits-ehrs
National Science Foundation. (2020, November 16). Smart health and biomedical research in the era of Artificial Intelligence and advanced data science (SCH). Beta site for NSF – National Science Foundation. https://beta.nsf.gov/funding/opportunities/smart-health-and-biomedical-research-era-artificial-intelligence-and-advanced
Navaz, A. N., Serhani, M. A., El Kassabi, H. T., Al-Qirim, N., & Ismail, H. (2021). Trends, technologies, and key challenges in smart and connected healthcare. IEEE Access, 9, 74044–74067. https://doi.org/10.1109/access.2021.3079217
Yang, Y., Wang, H., Jiang, R., Guo, X., Cheng, J., & Chen, Y. (2022). A review of IOT-enabled Mobile Healthcare: Technologies, Challenges, and future trends. IEEE Internet of Things Journal, 9(12), 9478–9502. https://doi.org/10.1109/jiot.2022.3144400
