Reducing Readmission Risk Through Whole-Person Design

Baird, Tricia; Eastman, Lindsey; Auger, Erica; Moses, James; Chand, Alejandro Quiroga

doi:10.1056/cat.22.0237

Cited by 2 publications

(1 citation statement)

References 10 publications

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“…Several studies have showcased the utility of predictive analytics in healthcare. For instance, Baird et al ( 79 ) explored the use of predictive models to identify patients at risk of readmission. The findings demonstrated that predictive analytics could accurately predict hospital readmissions, allowing healthcare providers to intervene and provide targeted interventions to reduce readmission rates.…”

Section: Digital Tools For Clinical Decision Makingmentioning

confidence: 99%

Improving health literacy using the power of digital communications to achieve better health outcomes for patients and practitioners

Fitzpatrick

2023

Front. Digit. Health

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Digital communication tools have demonstrated significant potential to improve health literacy which ultimately leads to better health outcomes. In this article, we examine the power of digital communication tools such as mobile health apps, telemedicine and online health information resources to promote health and digital literacy. We outline evidence that digital tools facilitate patient education, self-management and empowerment possibilities. In addition, digital technology is optimising the potential for improved clinical decision-making, treatment options and communication among providers. We also explore the challenges and limitations associated with digital health literacy, including issues related to access, reliability and privacy. We propose leveraging digital communication tools is key to optimising engagement to enhance health literacy across demographics leading to transformation of healthcare delivery and driving better outcomes for all.

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Section: Digital Tools For Clinical Decision Makingmentioning

confidence: 99%