Decoding Patient Interactions with AI-Based Virtual Health Assistants

The study examines patient interactions with virtual health assistants based on artificial intelligence in telemedicine applications, analyzing the dynamics and effectiveness of communication. The method used in this study is to use literature studies to identify trends, benefits, and challenges in integrating artificial intelligence into patient care. The findings reveal the key trends and benefits and challenges associated with integrating AI into patients' care, provide valuable insights to optimize telemedicine through AI technology, and offer practical implications for healthcare providers, policymakers, and developers. Artificial intelligence improves healthcare delivery by improving customer experience and communication between doctors and patients. However, in order for the implementation to be successful, challenges such as customer acceptance and ethical issues must be overcome. Cross-sectoral collaboration is essential for ethical compliance and better healthcare outcomes.

Authors

Institutions

Publication Details

Journal
CARAKA Indonesian Journal of Communications
Published
2024-12-27
DOI
https://doi.org/10.25008/caraka.v5i2.173
Citations
1
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.35
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Decoding Patient Interactions with AI-Based Virtual Health Assistants

Siti Zulzilah, John R.S.P.K.M. Isa
1 citations
CARAKA Indonesian Journal of Communications
AI in Service Interactions
0.35
article

Decoding Patient Interactions with AI-Based Virtual Health Assistants

Siti Zulzilah, John R.S.P.K.M. Isa
article en
1 citations

Abstract

The study examines patient interactions with virtual health assistants based on artificial intelligence in telemedicine applications, analyzing the dynamics and effectiveness of communication. The method used in this study is to use literature studies to identify trends, benefits, and challenges in integrating artificial intelligence into patient care. The findings reveal the key trends and benefits and challenges associated with integrating AI into patients' care, provide valuable insights to optimize telemedicine through AI technology, and offer practical implications for healthcare providers, policymakers, and developers. Artificial intelligence improves healthcare delivery by improving customer experience and communication between doctors and patients. However, in order for the implementation to be successful, challenges such as customer acceptance and ethical issues must be overcome. Cross-sectoral collaboration is essential for ethical compliance and better healthcare outcomes.

CARAKA Indonesian Journal of CommunicationsVol. 5(2)
Gunadarma University (ID)
Partnerships for the goals
Openalex Percentile: Top 30%
AI in Service Interactions
0.35
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.

Decoding Patient Interactions with AI-Based Virtual Health Assistants — Siti Zulzilah, John R.S.P.K.M. Isa · CARAKA Indonesian Journal of Communications (2024) | TGRS Research Map | TGRS