Evidence map›Paper›PMID 41888290›Full record

ArticleScientific reports2026

Multimodal system for automated medical documentation and clinical decision support integrating contact center solutions.

Małgorzata Płaza, Mirosław Płaza, Małgorzata Lucińska, Michał Młodawski, Justyna Kęczkowska, Stanisław Deniziak, Tamara Murawska, Kamil Murawski, Karol Wykrota, Dawid Jaszczyk and 5 more

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

15 authors.

Małgorzata PłazaKielce University of Technology, Al. Tysiąclecia P.P. 7, 25-314, Kielce, Poland.ORCID http://orcid.org/0000-0002-0130-7261
Mirosław PłazaKielce University of Technology, Al. Tysiąclecia P.P. 7, 25-314, Kielce, Poland. m.plaza@tu.kielce.pl.ORCID http://orcid.org/0000-0001-9728-3630
Małgorzata LucińskaKielce University of Technology, Al. Tysiąclecia P.P. 7, 25-314, Kielce, Poland.ORCID http://orcid.org/0000-0002-7531-0260
Michał MłodawskiKielce University of Technology, Al. Tysiąclecia P.P. 7, 25-314, Kielce, Poland.ORCID http://orcid.org/0000-0003-3309-3701
Justyna KęczkowskaKielce University of Technology, Al. Tysiąclecia P.P. 7, 25-314, Kielce, Poland.ORCID http://orcid.org/0000-0002-2309-3065
Stanisław DeniziakKielce University of Technology, Al. Tysiąclecia P.P. 7, 25-314, Kielce, Poland.ORCID http://orcid.org/0000-0002-6812-5227
Tamara MurawskaAltar Sp. z o. o., ul. Różana 5, 25-729, Kielce, Poland.ORCID http://orcid.org/0009-0005-4286-571X
Kamil MurawskiKielce University of Technology, Al. Tysiąclecia P.P. 7, 25-314, Kielce, Poland.ORCID http://orcid.org/0009-0009-4472-7627
Karol WykrotaKielce University of Technology, Al. Tysiąclecia P.P. 7, 25-314, Kielce, Poland.ORCID http://orcid.org/0009-0000-4179-6779
Dawid JaszczykKielce University of Technology, Al. Tysiąclecia P.P. 7, 25-314, Kielce, Poland.ORCID http://orcid.org/0009-0006-8583-8567
Michał ZawadzkiKielce University of Technology, Al. Tysiąclecia P.P. 7, 25-314, Kielce, Poland.ORCID http://orcid.org/0009-0003-7438-6022
Marcin KozłowskiKielce University of Technology, Al. Tysiąclecia P.P. 7, 25-314, Kielce, Poland.ORCID http://orcid.org/0009-0003-1540-4753
Arkadiusz GajdaAltar Sp. z o. o., ul. Różana 5, 25-729, Kielce, Poland.ORCID http://orcid.org/0009-0003-8755-8137
Karol TwardowskiAltar Sp. z o. o., ul. Różana 5, 25-729, Kielce, Poland.ORCID http://orcid.org/0009-0009-0181-3090
Zbigniew KorubaKielce University of Technology, Al. Tysiąclecia P.P. 7, 25-314, Kielce, Poland.ORCID http://orcid.org/0000-0003-0715-593X

Funding

Narodowe Centrum Badań i Rozwoju INFOSTRATEG4/0012/2022
6 · The paper itself

Abstract

The article presents the Parrot AI smart system, which supports physicians specialising in internal medicine and pediatrics. The solution is designed to automate time-consuming administrative processes and assist physicians in clinical decision-making. The main purpose of the system is to relieve medical staff of administrative tasks, such as manually filling out medical records, which translates into increased work efficiency and more time to focus on direct contact with patients. Parrot AI uses advanced natural language processing methods and generative language models to enable automated semantic analysis of medical interviews. Based on this, the system generates the content necessary to complete the electronic medical records and assists the physician by suggesting preliminary diagnoses and treatment options. Interaction with the patient can take place both at the initial medical interview stage (via chatbot or voicebot) and during a personal appointment at the clinic. Functional tests have demonstrated that the solution is highly effective. All tested components of the system achieved results well above the 80% effectiveness threshold, confirming the validity of further implementing the system into everyday clinical practice. Parrot AI has the potential not only to streamline physicians’ work, but also to improve the quality and consistency of medical records.

Indexed as

Decision Support Systems, ClinicalDocumentationElectronic Health RecordsHumansIntelligent SystemsNatural Language ProcessingContact center systemsExpert systemMedical documentationSemantic analysis

Identifiers

PMID41888290
PMCPMC13172105

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.