Evidence map›Paper›PMID 36292387›Full record

ReviewHealthcare (Basel, Switzerland)2022

Recent Advancements in Emerging Technologies for Healthcare Management Systems: A Survey.

Sahalu Balarabe Junaid, Abdullahi Abubakar Imam, Abdullateef Oluwagbemiga Balogun, Liyanage Chandratilak De Silva, Yusuf Alhaji Surakat, Ganesh Kumar, Muhammad Abdulkarim, Aliyu Nuhu Shuaibu, Aliyu Garba, Yusra Sahalu and 6 more

Abstract readReview
In one paragraph

Review in Healthcare (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 85 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
85citing papers in PubMed, 5 pooled it
–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

85 citing papers in PubMed, 5 syntheses or guidelines pooled it.

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  6. Observational
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  10. Strategic leadership and financial governance in liver transplantation: Global insights from the International Liver Transplantation Society Congress 2025.Liver transplantation : official publication of the American Association for the Study of Liver Diseases and the International Liver Transplantation Society · 2026
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25 more citing papers are in PubMed but not listed here.

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

16 authors.

Sahalu Balarabe JunaidDepartment of Computer Science, Ahmadu Bello University, Zaria 810211, Nigeria.
Abdullahi Abubakar ImamSchool of Digital Science, Universiti Brunei Darussalam, Brunei Darussalam, Jalan Tungku Link, Gadong BE1410, Brunei.
Abdullateef Oluwagbemiga BalogunDepartment of Computer Science, University of Ilorin, Ilorin 1515, Nigeria.ORCID 0000-0001-7411-3639
Liyanage Chandratilak De SilvaSchool of Digital Science, Universiti Brunei Darussalam, Brunei Darussalam, Jalan Tungku Link, Gadong BE1410, Brunei.
Yusuf Alhaji SurakatDepartment of Computer Science, Ahmadu Bello University, Zaria 810211, Nigeria.
Ganesh KumarDepartment of Computer and Information Science, Universiti Teknologi PETRONAS, Sri Iskandar 32610, Malaysia.ORCID 0000-0002-0098-0948
Muhammad AbdulkarimDepartment of Computer Science, Ahmadu Bello University, Zaria 810211, Nigeria.
Aliyu Nuhu ShuaibuDepartment of Electrical Engineering, University of Jos, Bauchi Road, Jos 930105, Nigeria.
Aliyu GarbaDepartment of Computer Science, Ahmadu Bello University, Zaria 810211, Nigeria.ORCID 0000-0003-1875-6167
Yusra SahaluSEHA Abu Dhabi Health Services Co., Abu Dhabi 109090, United Arab Emirates.
Abdullahi MohammedDepartment of Computer Science, Ahmadu Bello University, Zaria 810211, Nigeria.ORCID 0000-0001-7844-9527
Tanko Yahaya MohammedDepartment of Computer Science, Ahmadu Bello University, Zaria 810211, Nigeria.
Bashir Abubakar AbdulkadirDepartment of Chemistry, Gombe State University, Gombe 760253, Nigeria.
Abdallah Alkali AbbaDepartment of Computer Science, Ahmadu Bello University, Zaria 810211, Nigeria.
Nana Aliyu Iliyasu KakumiPatient Care Department, General Ward, Saudi German Hospital Cairo, Taha Hussein Rd, Huckstep, El Nozha, Cairo Governorate 4473303, Egypt.
Saipunidzam MahamadDepartment of Computer and Information Science, Universiti Teknologi PETRONAS, Sri Iskandar 32610, Malaysia.ORCID 0000-0002-9300-4363

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent times, the growth of the Internet of Things (IoT), artificial intelligence (AI), and Blockchain technologies have quickly gained pace as a new study niche in numerous collegiate and industrial sectors, notably in the healthcare sector. Recent advancements in healthcare delivery have given many patients access to advanced personalized healthcare, which has improved their well-being. The subsequent phase in healthcare is to seamlessly consolidate these emerging technologies such as IoT-assisted wearable sensor devices, AI, and Blockchain collectively. Surprisingly, owing to the rapid use of smart wearable sensors, IoT and AI-enabled technology are shifting healthcare from a conventional hub-based system to a more personalized healthcare management system (HMS). However, implementing smart sensors, advanced IoT, AI, and Blockchain technologies synchronously in HMS remains a significant challenge. Prominent and reoccurring issues such as scarcity of cost-effective and accurate smart medical sensors, unstandardized IoT system architectures, heterogeneity of connected wearable devices, the multidimensionality of data generated, and high demand for interoperability are vivid problems affecting the advancement of HMS. Hence, this survey paper presents a detailed evaluation of the application of these emerging technologies (Smart Sensor, IoT, AI, Blockchain) in HMS to better understand the progress thus far. Specifically, current studies and findings on the deployment of these emerging technologies in healthcare are investigated, as well as key enabling factors, noteworthy use cases, and successful deployments. This survey also examined essential issues that are frequently encountered by IoT-assisted wearable sensor systems, AI, and Blockchain, as well as the critical concerns that must be addressed to enhance the application of these emerging technologies in the HMS.

Indexed as

artificial intelligenceblockchainhealthcareinternet of thingssensorswearables

Identifiers

PMID36292387
PMCPMC9601636

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.