Indonesian Journal of Electrical Engineering and Computer Science Vol. 26, No. 3, June 2022, pp. 1281~1289 ISSN: 2502-4752, DOI: 10.11591/ijeecs.v26.i3.pp1281-1289  1281 Journal homepage: http://ijeecs.iaescore.com Management patients information based finger print Ahmed Bashar Fakhri, Huda Farooq Jameel, Mustafa Falah Mahmood Department of Medical Instrumentation Techniques Engineering, Electrical Engineering Technical College, Middle Technical University, Baghdad, Iraq Article Info ABSTRACT Article history: Received Jan 28, 2022 Revised Apr 10, 2022 Accepted Apr 21, 2022 A fingerprint is certainly one of the distinguishing features of the human body that is easily available and identifies one individual from another. The fingerprint sensor increases this distinctiveness, which is a device that can automatically classify or identify a person. The fingerprint based medical system is a more efficient means of storing clinical data for patients. It makes take advantage of fingerprint recognition technology to quickly and easily for determine the patient's past medical history. The system consists of an Arduino UNO board, a fingerprint sensor, an secure digital (SD) card module, and a micro-SD card. The suggested technology allows the use of a micro-SD card to store patient information as well as send it by internet. When this system was compared to the manual technique, the results indicate that the main advantage is that the proposed device saves a significant amount of time that manual searching and enrolling requires. Patients' information is simply collected and managed with this system, which has enhanced dependability, durability, and efficiency. It provides improved speed and performance, as well as better data security because the data is stored within the device. Keywords: Arduino UNO Fingerprints sensor Micro-SD card This is an open access article under the CC BY-SA license. Corresponding Author: Mustafa Falah Mahmood Department of Medical Instrumentation Techniques Engineering, Electrical Engineering Technical College, Middle Technical University Baghdad, Iraq Email: mustafa.falah@mtu.edu.iq 1. INTRODUCTION Machine learning and robots have had a significant impact on how healthcare is delivered to patients. Because of developments in remote monitoring of patients and wearable technology, real-time remote medical observation has grown more powerful and adaptable. Cloud computing and wireless technology have aided significant breakthroughs in healthcare, and wireless sensor networks are now a key component of mobile technologies for e-healthcare. So, many methods are used in examines the authentication factors used in electronic health records [1]. In addition, a fingerprint-detecting device, which is used one type of sensor is used the fingerprint sensor. The precision, superior performance and resilience are the major benefits of this equipment. Both fingerprint scanners and readers are incredibly secure and appropriate devices for security rather than a secret word because the password is easy to guess and difficult to remember. A fingerprint-protected password authentication technique that does not require the secret parameter to be saved in the phone [2]. Throughout the secret key generation process, the password and fingerprint should always be submitted. The user's password is veiled whenever the computer communicates with the cellular telephone to protect it from adversarial attempts. According to theoretical and empirical research, this strategy improves the security of the person's secret. Nevertheless, the technique could persist in the opponent's dictionary, repeat, and