2021
DOI: 10.3389/fdgth.2021.765867
|View full text |Cite
|
Sign up to set email alerts
|

Improving Dyspnoea Symptom Control of Patients in Palliative Care Using a Smart Patch-A Proof of Concept Study

Abstract: The world of healthcare constantly aims to improve the lives of people while nurturing their health and comfort. Digital health and wearable technologies are aimed at making this possible. However, there are numerous factors that need to be addressed such as aging, disabilities, and health hazards. These factors are intensified in palliative care (PC) patients and limited hospital capacities make it challenging for health care providers (HCP) to handle the crisis. One of the most common symptoms reported by PC… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2022
2022
2023
2023

Publication Types

Select...
2

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(1 citation statement)
references
References 28 publications
(29 reference statements)
0
1
0
Order By: Relevance
“…The use of proxies to help measure patient‐reported outcome measures also may hold some promise for PLWD if viewed as complementary rather than substitutive 66,67 . Emerging data capture methods such as natural language processing (NLP) to measure ACP documentation, patient portals to measure electronic PCROs along with wearable devices, smartphones, and artificial intelligence to help measure prognosis and patient‐related parameters may also yield future highly pragmatic outcome measures 51,68–72 . In ADRD pragmatic trials conducted in the home or community setting, a multi‐level approach will likely need to be considered for the collection of PCROs in the absence of healthcare records or administrative data collection methods 73 …”
Section: Discussionmentioning
confidence: 99%
“…The use of proxies to help measure patient‐reported outcome measures also may hold some promise for PLWD if viewed as complementary rather than substitutive 66,67 . Emerging data capture methods such as natural language processing (NLP) to measure ACP documentation, patient portals to measure electronic PCROs along with wearable devices, smartphones, and artificial intelligence to help measure prognosis and patient‐related parameters may also yield future highly pragmatic outcome measures 51,68–72 . In ADRD pragmatic trials conducted in the home or community setting, a multi‐level approach will likely need to be considered for the collection of PCROs in the absence of healthcare records or administrative data collection methods 73 …”
Section: Discussionmentioning
confidence: 99%