Evidence map›Paper›PMID 33320826›Full record

ArticleJMIR medical informatics2020

Global Infectious Disease Surveillance and Case Tracking System for COVID-19: Development Study.

Hsiu-An Lee, Hsin-Hua Kung, Yuarn-Jang Lee, Jane C-J Chao, Jai Ganesh Udayasankaran, Hueng-Chuen Fan, Kwok-Keung Ng, Yu-Kang Chang, Boonchai Kijsanayotin, Alvin B Marcelo and 1 more

Open access · goldAbstract read
In one paragraph

Article in JMIR medical informatics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
2.8field-weighted citation impact, top 7% 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

14 citing papers in PubMed, 2 syntheses or guidelines pooled it, 36 citations in OpenAlex.

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  12. HL7 FHIR-based tools and initiatives to support clinical research: a scoping review.Journal of the American Medical Informatics Association : JAMIA · 2022
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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

11 authors at 8 institutions in 5 countries.

Hsiu-An LeeDepartment of Computer Science and Information Engineering, Tamkang University, New Taipei, Taiwan.ORCID https://orcid.org/0000-0003-1178-1626
Hsin-Hua KungTaiwan e-Health Association, Taipei, Taiwan.ORCID https://orcid.org/0000-0002-7845-0445
Yuarn-Jang LeeDivision of Infection Diseases, Department of Internal Medicine, Taipei Medical University Hospital, Taipei, Taiwan.ORCID https://orcid.org/0000-0002-1255-1331
Jane C-J ChaoNutrition Research Center, Taipei Medical University Hospital, Taipei, Taiwan.ORCID https://orcid.org/0000-0002-3610-9580
Jai Ganesh UdayasankaranAsia eHealth Information Network, Hong Kong, Hong Kong.ORCID https://orcid.org/0000-0001-6117-1944
Hueng-Chuen FanDepartment of Rehabilitation, Jen-Teh Junior College of Medicine, Nursing and Management, Miaoli, Taiwan.ORCID https://orcid.org/0000-0003-3485-7558
Kwok-Keung NgAsia eHealth Information Network, Hong Kong, Hong Kong.ORCID https://orcid.org/0000-0001-6833-2384
Yu-Kang ChangDepartment of Rehabilitation, Jen-Teh Junior College of Medicine, Nursing and Management, Miaoli, Taiwan.ORCID https://orcid.org/0000-0002-2687-4801
Boonchai KijsanayotinAsia eHealth Information Network, Hong Kong, Hong Kong.ORCID https://orcid.org/0000-0001-8932-1086
Alvin B MarceloAsia eHealth Information Network, Hong Kong, Hong Kong.ORCID https://orcid.org/0000-0001-6250-9169
Chien-Yeh HsuTaiwan e-Health Association, Taipei, Taiwan.ORCID https://orcid.org/0000-0001-8233-6461
National Taipei University of Nursing and Health Science · TWTaipei Medical University Hospital · TWTungs' Taichung MetroHarbor Hospital · TWeHealth Africa · USMinistry of Public Health · THSri Sathya Sai Institute of Higher Learning · INTamkang University · TWUniversity of the Philippines Manila · PH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCOVID-19 has affected more than 180 countries and is the first known pandemic to be caused by a new virus. COVID-19's emergence and rapid spread is a global public health and economic crisis. However, investigations into the disease, patient-tracking mechanisms, and case report transmissions are both labor-intensive and slow.

objectiveThe pandemic has overwhelmed health care systems, forcing hospitals and medical facilities to find effective ways to share data. This study aims to design a global infectious disease surveillance and case tracking system that can facilitate the detection and control of COVID-19.

methodsThe International Patient Summary (IPS; an electronic health record that contains essential health care information about a patient) was used. The IPS was designed to support the used case scenario for unplanned cross-border care. The design, scope, utility, and potential for reuse of the IPS for unplanned cross-border care make it suitable for situations like COVID-19. The Fast Healthcare Interoperability Resources confirmed that IPS data, which includes symptoms, therapies, medications, and laboratory data, can be efficiently transferred and exchanged on the system for easy access by physicians. To protect privacy, patient data are deidentified. All systems are protected by blockchain architecture, including data encryption, validation, and exchange of records.

resultsTo achieve worldwide COVID-19 surveillance, a global infectious disease information exchange must be enacted. The COVID-19 surveillance system was designed based on blockchain architecture. The IPS was used to exchange case study information among physicians. After being verified, physicians can upload IPS files and receive IPS data from other global cases. The system includes a daily IPS uploading and enhancement plan, which covers real-time uploading through the interoperation of the clinic system, with the module based on the Open Application Programming Interface architecture. Through the treatment of different cases, drug treatments, and the exchange of treatment results, the disease spread can be controlled, and treatment methods can be funded. In the Infectious Disease Case Tracking module, we can track the moving paths of infectious disease cases. The location information recorded in the blockchain is used to check the locations of different cases. The Case Tracking module was established for the Centers for Disease Control and Prevention to track cases and prevent disease spread.

conclusionsWe created the IPS of infectious diseases for physicians treating patients with COVID-19. Our system can help health authorities respond quickly to the transmission and spread of unknown diseases, and provides a system for information retrieval on disease transmission. In addition, this system can help researchers form trials and analyze data from different countries. A common forum to facilitate the mutual sharing of experiences, best practices, therapies, useful medications, and clinical intervention outcomes from research in various countries could help control an unknown virus. This system could be an effective tool for global collaboration in evidence-based efforts to fight COVID-19.

Indexed as

blockchainCOVID-19COVID-19 defenseHL7 FHIRinfectious disease surveillanceinternational collaboration

Identifiers

PMID33320826
PMCPMC7758088
OpenAlexW3112671099

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.