TY - GEN
T1 - A Study on Personal Medical History Visualization Tools for Doctors
AU - Hossain, Forhad
AU - Islam-Maruf, Rafiqul
AU - Osugi, Takuzou
AU - Nakashima, Naoki
AU - Ahmed, Ashir
N1 - Funding Information:
This research was supported by JST SCORE University Promotion Type-Developing the Environment for Creation of Startup Ecosystem in Startup Cities Type, Grant Number JPMJST2072, Japan.
Funding Information:
This research was supported by JST SCORE University Promotion TypeDeveloping the Environment for Creation of Startup Ecosystem in Startup Cities Type, Grant Number JPMJST2072, Japan.
Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - It is essential for a doctor to know a patient's medical history to make an accurate clinical decision, preferably in a short period of time. Most of the patients' medical histories are in analog forms and it is difficult for a doctor to search and find the appropriate information quickly. A doctor-friendly healthcare data visualization tool can assist a doctor in better understanding the patient's status in an accurate and quick manner. Collection, integration, and visualization of personal health data in a standard manner became technically easier due to the rapid advancement of information technologies. The objective of this research is to investigate the state-of-the-art medical history visualization tools that can support doctors. We have reviewed 25 academic papers and found 8 tools are relevant to our objective. We summarised their key features, visualization items, and mechanisms, and listed their limitations. This paper also proposes a unique visualization tool where an individual patient's medical history will be visualized in a single health Gantt chart window and the doctor can get relevant information to ensure efficient decision-making.
AB - It is essential for a doctor to know a patient's medical history to make an accurate clinical decision, preferably in a short period of time. Most of the patients' medical histories are in analog forms and it is difficult for a doctor to search and find the appropriate information quickly. A doctor-friendly healthcare data visualization tool can assist a doctor in better understanding the patient's status in an accurate and quick manner. Collection, integration, and visualization of personal health data in a standard manner became technically easier due to the rapid advancement of information technologies. The objective of this research is to investigate the state-of-the-art medical history visualization tools that can support doctors. We have reviewed 25 academic papers and found 8 tools are relevant to our objective. We summarised their key features, visualization items, and mechanisms, and listed their limitations. This paper also proposes a unique visualization tool where an individual patient's medical history will be visualized in a single health Gantt chart window and the doctor can get relevant information to ensure efficient decision-making.
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U2 - 10.1109/LifeTech53646.2022.9754925
DO - 10.1109/LifeTech53646.2022.9754925
M3 - Conference contribution
AN - SCOPUS:85129213098
T3 - LifeTech 2022 - 2022 IEEE 4th Global Conference on Life Sciences and Technologies
SP - 547
EP - 551
BT - LifeTech 2022 - 2022 IEEE 4th Global Conference on Life Sciences and Technologies
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 4th IEEE Global Conference on Life Sciences and Technologies, LifeTech 2022
Y2 - 7 March 2022 through 9 March 2022
ER -