Management information system integration in dental practice: Covid-19 lockdown scenario in low-middle income countries

Management Information Systems (MIS) is a computer-based system that collect data to store, validate, retrieve, communicate, and present the data for using in planning, controlling, accounting, budgeting, and various other management-related processes. Health MIS or HMIS is a platform deals with health related records

Content

Author and article information

Journal

Title: AHRO Review of Dentistry

Publisher: AHRO Scientific Publishing

Publication date (Electronic): 13 June 2022

Volume: 1

Issue: 1

Affiliations

[1 ] Dept of Epidemiology & Biostatistics, College of Human Medicine, Michigan State, Michigan, USA University,

[2 ] Dept of Public Health & Informatics, Bangabandhu Sheikh Mujib Medical University, Bangladesh

[3 ] Institute of Quantitative Health Science (IQ), Dept of Biomedical Engineering, Michigan State University, USA

Author notes

[* ]Email: siddikan234@ 123456gmail.com .

Author information

Nazeeba Siddika https://orcid.org/0000-0002-5400-1784

Article

DOI: 10.36295/ARD/2022/0005

SO-VID: c214a344-bf21-4f61-99cf-ff211057ed5c

License:

This work has been published open access under Creative Commons Attribution License CC BY 4.0 , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Conditions, terms of use and publishing policy can be found at www.scienceopen.com .

History

Date received : 11 June 2022

Date accepted : 11 June 2022

Data availability: All data generated or analysed during this study are included in this published article (and its supplementary information files).

ScienceOpen disciplines: Dentistry

Keywords: Information system,dental,practice,COVID-19,countries

References

Shams Abdullah Bin, Hoque Apu Ehsanul, Rahman Ashiqur, Sarker Raihan Md. Mohsin, Siddika Nazeeba, Preo Rahat Bin, Hussein Molla Rashied, Mostari Shabnam, Kabir Russell. Web Search Engine Misinformation Notifier Extension (SEMiNExt): A Machine Learning Based Approach during COVID-19 Pandemic. Healthcare. Vol. 9(2)2021. MDPI AG. [Cross Ref]

Comments

Comment on this article

[1] Shams Abdullah Bin, Hoque Apu Ehsanul, Rahman Ashiqur, Sarker Raihan Md. Mohsin, Siddika Nazeeba, Preo Rahat Bin, Hussein Molla Rashied, Mostari Shabnam, Kabir Russell. Web Search Engine Misinformation Notifier Extension (SEMiNExt): A Machine Learning Based Approach during COVID-19 Pandemic. Healthcare. Vol. 9(2)2021. MDPI AG. [Cross Ref]