| Title |
A Systematic Review of Wearable Patient Monitoring Systems – Current Challenges and Opportunities for Clinical Adoption
|
|---|---|
| Published in |
Journal of Medical Systems, June 2017
|
| DOI | 10.1007/s10916-017-0760-1 |
| Pubmed ID | |
| Authors |
Mirza Mansoor Baig, Hamid GholamHosseini, Aasia A. Moqeem, Farhaan Mirza, Maria Lindén |
| Abstract |
The aim of this review is to investigate barriers and challenges of wearable patient monitoring (WPM) solutions adopted by clinicians in acute, as well as in community, care settings. Currently, healthcare providers are coping with ever-growing healthcare challenges including an ageing population, chronic diseases, the cost of hospitalization, and the risk of medical errors. WPM systems are a potential solution for addressing some of these challenges by enabling advanced sensors, wearable technology, and secure and effective communication platforms between the clinicians and patients. A total of 791 articles were screened and 20 were selected for this review. The most common publication venue was conference proceedings (13, 54%). This review only considered recent studies published between 2015 and 2017. The identified studies involved chronic conditions (6, 30%), rehabilitation (7, 35%), cardiovascular diseases (4, 20%), falls (2, 10%) and mental health (1, 5%). Most studies focussed on the system aspects of WPM solutions including advanced sensors, wireless data collection, communication platform and clinical usability based on a specific area or disease. The current studies are progressing with localized sensor-software integration to solve a specific use-case/health area using non-scalable and 'silo' solutions. There is further work required regarding interoperability and clinical acceptance challenges. The advancement of wearable technology and possibilities of using machine learning and artificial intelligence in healthcare is a concept that has been investigated by many studies. We believe future patient monitoring and medical treatments will build upon efficient and affordable solutions of wearable technology. |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 38% |
| United Kingdom | 2 | 25% |
| Canada | 1 | 13% |
| Unknown | 2 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 75% |
| Practitioners (doctors, other healthcare professionals) | 1 | 13% |
| Scientists | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 623 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Norway | 1 | <1% |
| Unknown | 622 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 93 | 15% |
| Student > Master | 83 | 13% |
| Researcher | 75 | 12% |
| Student > Bachelor | 55 | 9% |
| Student > Doctoral Student | 28 | 4% |
| Other | 94 | 15% |
| Unknown | 195 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 84 | 13% |
| Computer Science | 78 | 13% |
| Medicine and Dentistry | 68 | 11% |
| Nursing and Health Professions | 43 | 7% |
| Business, Management and Accounting | 28 | 4% |
| Other | 98 | 16% |
| Unknown | 224 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 16 January 2020.
All research outputs
#2,132,283
of 22,953,506 outputs
Outputs from Journal of Medical Systems
#42
of 1,157 outputs
Outputs of similar age
#43,337
of 316,409 outputs
Outputs of similar age from Journal of Medical Systems
#5
of 24 outputs
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So far Altmetric has tracked 1,157 research outputs from this source. They receive a mean Attention Score of 4.5. This one has done particularly well, scoring higher than 96% of its peers.
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We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.