Intelligent reporting system (IRS) / Mohd Hazlan Umar Jalali ...[et al.]

Jalali, Mohd Hazlan Umar and Hussin, Nazhatul Hanis and Zailan, Zainul Amri and Pudzi, Norzie Azlaili and Md Yakup, Khairul Anam (2017) Intelligent reporting system (IRS) / Mohd Hazlan Umar Jalali ...[et al.]. [Entrepreneurship Project] (Unpublished)

Abstract

Intelligent Reporting System (IRS) is the product proposed in this project. This innovative and creative technology-embedded product works by linking software application with earpiece electronic device to create new reporting style in healthcare managerial task. IRS use an artificial intelligence technology which create a conversation between a men (healthcare professionals) with integrated communicative software system for medical reporting purposes. IRS consists of two main products that work together known as (1) Earpiece Operating Device(EOD) and (2) Artificial Intelligence Software (ROBO). This system will detect human's voice or command and convert it into words inside technology devices such as computer, smartphone and/or tab. It is designed to make reporting style among healthcare professionals become easier, faster and comprehensive. As of today, there are only two traditional methods used in reporting styles in healthcare system, (1) handwriting report and; (2) typing report in PCs, and the introduction of this breakthrough technology is totally upgrading reporting style to the next level.

Metadata

Item Type: Entrepreneurship Project
Creators:
Creators
Email / ID Num.
Jalali, Mohd Hazlan Umar
2015463618
Hussin, Nazhatul Hanis
2015433064
Zailan, Zainul Amri
2015607636
Pudzi, Norzie Azlaili
2015260676
Md Yakup, Khairul Anam
2015285898
Contributors:
Contribution
Name
Email / ID Num.
Thesis advisor
Zainal Abidin, Zanariah
UNSPECIFIED
Subjects: H Social Sciences > HD Industries. Land use. Labor > Industry > Small and medium-sized business. History
H Social Sciences > HD Industries. Land use. Labor > Small business. Medium-sized business
H Social Sciences > HF Commerce > Business
Divisions: Universiti Teknologi MARA, Shah Alam > Faculty of Sport Science and Recreation
Keywords: IRS, intelligent, healthcare
Date: June 2017
URI: https://ir.uitm.edu.my/id/eprint/45682
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