AI-Powered Mobile Health Apps for Safe Medication Management: A Smart Solution to Self-Medication Risks in Growing Markets

Background: Self-medication can be risky, particularly in growing markets where healthcare access is limited. Self-medication leads individual’s managing their own medication, which can lead to mistakes. A smart solution presented by AI powered mobile health apps helping users to manage their medications safely and accurately. Objective: It aims to explore public perception of AI for safe self-medication. Methodology:14 questions were asked through a survey. One key question was there asking respondents if they believe AI could improve medication management. Results: The survey results showed that 82.1% of people agreed and 14.3% strongly agreed which indicates the strong trust in AI powered mobile apps which will prevent self-medication risks and make self-medication safer. Conclusion: Furthermore, these analyses suggest that AI powered mobile apps can reduce risks of self-medication by improving how people follow prescriptions and instructions. This study is important particularly in places, for example emerging markets where health care services are limited or harder to access. This research emphasizes the significance of how AI could play a big role in safe medication practices

Authors

Publication Details

Published
2024-12-21
DOI
https://doi.org/10.46254/ba07.20240201
Primary Topic
Digital Mental Health Interventions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

AI-Powered Mobile Health Apps for Safe Medication Management: A Smart Solution to Self-Medication Risks in Growing Markets

Muhammad Asif, Md. Mortuza Ahmmed, Md. Mahbub Alam, Nipa Akter et al.
1 links
Digital Mental Health Interventions
article

AI-Powered Mobile Health Apps for Safe Medication Management: A Smart Solution to Self-Medication Risks in Growing Markets

Muhammad Asif, Md. Mortuza Ahmmed, Md. Mahbub Alam, Nipa Akter, Nawazish Mubtasim, Md Shamsul Alam Pranto
article en

Abstract

Background: Self-medication can be risky, particularly in growing markets where healthcare access is limited. Self-medication leads individual’s managing their own medication, which can lead to mistakes. A smart solution presented by AI powered mobile health apps helping users to manage their medications safely and accurately. Objective: It aims to explore public perception of AI for safe self-medication. Methodology:14 questions were asked through a survey. One key question was there asking respondents if they believe AI could improve medication management. Results: The survey results showed that 82.1% of people agreed and 14.3% strongly agreed which indicates the strong trust in AI powered mobile apps which will prevent self-medication risks and make self-medication safer. Conclusion: Furthermore, these analyses suggest that AI powered mobile apps can reduce risks of self-medication by improving how people follow prescriptions and instructions. This study is important particularly in places, for example emerging markets where health care services are limited or harder to access. This research emphasizes the significance of how AI could play a big role in safe medication practices

Openalex Percentile: Top 68%
Digital Mental Health Interventions
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.