Evidence map›Paper›PMID 41249424›Full record

ArticleScientific reports2025

Transforming patient management: a study on secure, cost-effective, automated remote monitoring of urine bags.

Anil Kumar Bhat, G R Pradyumna, K B Bommegowda, Roopa B Hegde, Swathi Prabhu

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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

5 authors.

Anil Kumar BhatDepartment of Electronics & Communication Engineering, Nitte (Deemed to be University), NMAM Institute of Technology (NMAMIT), Nitte, 574110, Karnataka, India.
G R PradyumnaDepartment of Electronics & Communication Engineering, Nitte (Deemed to be University), NMAM Institute of Technology (NMAMIT), Nitte, 574110, Karnataka, India. pradyumna@nitte.edu.in.
K B BommegowdaDepartment of Electronics & Communication Engineering, Nitte (Deemed to be University), NMAM Institute of Technology (NMAMIT), Nitte, 574110, Karnataka, India.
Roopa B HegdeDepartment of Electronics & Communication Engineering, Nitte (Deemed to be University), NMAM Institute of Technology (NMAMIT), Nitte, 574110, Karnataka, India.
Swathi PrabhuManipal Institute of Technology, Manipal Academy of Higher Education, Manipal, 576104, Karnataka, India. swathi.p@manipal.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The increasing demand for efficient patient monitoring systems in healthcare and the growing need for remote monitoring, particularly post-pandemic, emphasise the importance of tracking critical parameters such as urine output, blood oxygen saturation, breath rate, and blood pressure. Urine output, a key indicator of kidney function and medical treatment response, is traditionally assessed manually, posing a significant burden on hospital staff and caregivers. Addressing this, our system facilitates continuous, accurate monitoring of urine output, enhancing patient care and healthcare efficiency. We developed a smartphone application leveraging capacitive sensors and a Wi-Fi-enabled control unit, enabling remote monitoring of urine bag volumes. The system alerts when bags are empty for extended periods or full, this is validated through experiments with volumes ranging from 100 to 1000 mL.The corresponding variations in sensor output voltage confirmed the accuracy of the system. To secure patient data, we incorporated AES-256 encryption with dynamic key generation using patient-specific IDs and OTP-based access control, ensuring data privacy and compliance with healthcare regulations. Our approach offers several advantages: ease of attachment to standard urine bags, non-invasiveness, reusability of bags, and remote monitoring through the mobile application. This innovation automates urine output monitoring, secures patient data, reduces the workload of intensive care nurses, and enhances patient care through precise and continuous monitoring. Unlike existing devices that rely on customised containers or short-range Bluetooth transmission, our system is compatible with standard urine bags, employs cost-effective capacitive copper-tape sensors, and integrates AES-256 encryption with dynamic key generation and OTP-based access control for robust data security. These unique features make the system functionally novel, technically secure, and highly practical for deployment in both hospital and home settings.

Indexed as

UrineComputer SecurityCost-Benefit AnalysisHumansMobile ApplicationsMonitoring, PhysiologicSmartphoneCapacitive sensorsPatient monitoringRemote monitoringUrine outputWireless transmission

Identifiers

PMID41249424
PMCPMC12623775

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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.