TY - GEN
T1 - Errors in remote healthcare system
T2 - 2017 IEEE Region 10 Conference, TENCON 2017
AU - Hasan, Mehdi
AU - Fukuda, Akira
AU - Maruf, Rafiqul Islam
AU - Yokota, Fumihiko
AU - Ahmed, Ashir
N1 - Funding Information:
The authors acknowledge the technical assistance from Grameen Communications, Bangladesh; financial support from Institute of Decision Science for a Sustainable Society (IDS3), Kyushu University, Japan and Toyota Motor Corporation, Japan.
Publisher Copyright:
© 2017 IEEE.
PY - 2017/12/19
Y1 - 2017/12/19
N2 - A medical error comes in many forms e.g. Medication error, Surgical error, Diagnostic error and System failure etc. The Prescription error is a major medication error. Computerized Provider Order Entry (CPOE) and Clinical Decision Support System (CDSS) have been developed and deployed by many hospitals to prevent medical errors. However, these tools are more applicable for hospitalized patients. In healthcare worker assisted remote healthcare systems, a healthcare worker interfaces with the patient and do medical measurement of health checkup items (for example, height, weight, Blood sugar etc.) and shares the data by using an android based application with the remote doctor. The doctor analyzes the data, consults with the patient and writes a prescription for the patient. In this overall process, each step has the room for making mistakes and eventually mistakes bring errors, either directly by a human (active error) or by the android application or hardware (latent error). This paper reports a flow chart for healthcare worker assisted remote healthcare systems, lists the point of errors and describe the potential causes of the errors.
AB - A medical error comes in many forms e.g. Medication error, Surgical error, Diagnostic error and System failure etc. The Prescription error is a major medication error. Computerized Provider Order Entry (CPOE) and Clinical Decision Support System (CDSS) have been developed and deployed by many hospitals to prevent medical errors. However, these tools are more applicable for hospitalized patients. In healthcare worker assisted remote healthcare systems, a healthcare worker interfaces with the patient and do medical measurement of health checkup items (for example, height, weight, Blood sugar etc.) and shares the data by using an android based application with the remote doctor. The doctor analyzes the data, consults with the patient and writes a prescription for the patient. In this overall process, each step has the room for making mistakes and eventually mistakes bring errors, either directly by a human (active error) or by the android application or hardware (latent error). This paper reports a flow chart for healthcare worker assisted remote healthcare systems, lists the point of errors and describe the potential causes of the errors.
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U2 - 10.1109/TENCON.2017.8227856
DO - 10.1109/TENCON.2017.8227856
M3 - Conference contribution
AN - SCOPUS:85044212996
T3 - IEEE Region 10 Annual International Conference, Proceedings/TENCON
SP - 170
EP - 175
BT - TENCON 2017 - 2017 IEEE Region 10 Conference
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 5 November 2017 through 8 November 2017
ER -