Evidence map›Paper›PMID 32570196›Full record

ArticleInternational journal of medical informatics2020

Extensions and adaptations of existing medical information system in order to reduce social contacts during COVID-19 pandemic.

Aleksandar Milenkovic, Dragan Jankovic, Petar Rajkovic

Abstract read
In one paragraph

Article in International journal of medical informatics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
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

8 citing papers in PubMed.

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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

3 authors.

Aleksandar MilenkovicUniversity of Nis, Faculty of Electronic Engineering, Laboratory for Medical Informatics, Aleksandra Medvedeva Street 14, 18000, Nis, Serbia. Electronic address: aleksandar.milenkovic@elfak.ni.ac.rs.
Dragan JankovicUniversity of Nis, Faculty of Electronic Engineering, Laboratory for Medical Informatics, Aleksandra Medvedeva Street 14, 18000, Nis, Serbia. Electronic address: dragan.jankovic@elfak.ni.ac.rs.
Petar RajkovicUniversity of Nis, Faculty of Electronic Engineering, Laboratory for Medical Informatics, Aleksandra Medvedeva Street 14, 18000, Nis, Serbia. Electronic address: petar.rajkovic@elfak.ni.ac.rs.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe main objective of this paper is the reduction of the COVID-19 pandemic spread by increasing the degree of social distancing by using and upgrading the existing Medical Information System (MIS). MATERIAL AND

methodsThe existing MIS MEDIS.NET, currently used in the largest health center in the Balkans, has been adapted and further developed.

resultsDuring the adaptation of existing MIS MEDIS.NET 4 new and 9 existing modules were developed. A quick questionnaire for the smart triage of patients was also implemented. DISCUSSION: The adapted MIS successfully influenced the reduction of social contacts within the Health Center Nis. The need for the arrival of children and their parents to receive appropriate health certificates for the school enrolment is reduced. The therapy of chronic patients has been prolonged for 6 months via an electronic prescription. An online service for the communication between patients and the chosen physicians is provided. Possible social contacts and exposure to the viral environment of patients are reduced by making appointments in extended slots and at determined physical locations. Patients are notified per SMS or email about the availability of chosen and physician on duty. The social distancing of patients and physicians is also established by sending laboratory analyses per email or SMS. Keeping the central registry for COVID-19 is enabled throughout the country.

conclusionThe smart adaptation of MIS, and its collaboration with other state systems can significantly influence the reduction of social contacts and thus mitigate the consequences of COVID-19 pandemic.

Indexed as

Social BehaviorBetacoronavirusChildCommunicationContact TracingCoronavirus InfectionsCOVID-19HumansMedical InformaticsPandemicsPneumonia, ViralSARS-CoV-2Surveys and QuestionnairesCoronavirusCOVID-19Medical information systemPandemicSocial contacts

Identifiers

PMID32570196
PMCPMC7297181

What OpenQuestion holds

Textmetadata
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.