Evidence map›Paper›PMID 35495110›Full record

ReviewComputational and structural biotechnology journal2022

Precision health in Taiwan: A data-driven diagnostic platform for the future of disease prevention.

Wesley Wei-Wen Hsiao, Jui-Chu Lin, Chien-Te Fan, Saint Shiou-Sheng Chen

Open access · goldAbstract readReview
In one paragraph

Review in Computational and structural biotechnology journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.1field-weighted citation impact, top 20% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
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  3. Review
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  5. Article
  6. Review
  7. Integrating population-based biobanks: Catalyst for advances in precision health.Computational and structural biotechnology journal · 2024
    Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 3 institutions in 1 country.

Wesley Wei-Wen HsiaoGraduate Institute of Applied Science and Technology, National Taiwan University of Science and Technology, Taipei, Taiwan, ROC.
Jui-Chu LinGraduate Institute of Applied Science and Technology, National Taiwan University of Science and Technology, Taipei, Taiwan, ROC.
Chien-Te FanInstitute of Law for Science and Technology, National Tsing Hua University, Hsin-Chu, Taiwan, ROC.
Saint Shiou-Sheng ChenDivision of Urology, Taipei City Hospital Zhong Xiao Branch, Taipei, Taiwan, ROC.
National Taiwan University of Science and Technology · TWNational Tsing Hua University · TWNational Yang Ming Chiao Tung University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

"Precision medicine" has revolutionized how we respond to diseases by using an individual's genomic data and lifestyle and environment-related information to create an effective personalized treatment. However, issues surrounding regulations, medical insurance payments and the use of patients' medical data, have delayed the development of precision medicine and made it difficult to achieve "true" personalization. We therefore recommend that precision medicine be transformed into precision health: a novel and generalized platform of tools and methods that could prevent, manage, and treat disease at a population level. "Precision health," one of six core strategic industries highlighted in Taiwan's vision for 2030, uses various physiological data, genomic data, and external factors, to develop unique "preventative" solutions or therapeutic strategies. For Taiwan to implement precision health, it has to address three challenges: (1) the high-cost issue of precision health; (2) the harmonization issues surrounding integration and transmission of specimen and data; (3) the legal issue of combining information and communications technology (ICT) with Artificial Intelligence (AI) for medical use. In this paper, we propose an innovative framework with six recommendations for facilitating the development of precision health in Taiwan, including a novel model of precise telemedicine with AI-aided technology. We then describe how these tools can be proactively applied in early response to the COVID-19 crisis. We believe that precision health represents an important shift to more proactive and preventive healthcare that enables people to lead healthier lives.

Indexed as

big data, Artificial Intelligence (AI)biobank, Information and communications technology (ICT)COVID-19National Health InsurancePrevention medicine, precision health

Identifiers

PMID35495110
PMCPMC9019916
OpenAlexW4220951254

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.