Literature DB >> 16871733

MobileMed: a PDA-based mobile clinical information system.

Jinwook Choi1, Sooyoung Yoo, Heekyong Park, Jonghoon Chun.   

Abstract

Patient clinical data are distributed and often fragmented in heterogeneous systems, and therefore the need for information integration is a key to reliable patient care. Once the patient data are orderly integrated and readily available, the problems in accessing the distributed patient clinical data, the well-known difficulties of adopting a mobile health information system, are resolved. This paper proposes a mobile clinical information system (MobileMed), which integrates the distributed and fragmented patient data across heterogeneous sources and makes them accessible through mobile devices. The system consists of four main components: a smart interface, an HL7 message server (HMS), a central clinical database (CCDB), and a web server. The smart interface and the HMS work in concert to generate HL7 messages from the existing legacy systems, which essentially send the patient data in HL7 messages to the CCDB to be stored and maintained. The CCDB and the web server enable the physicians to access the integrated up-to-date patient data. By proposing the smart interface approach, we provide a means for effortless implementation and deployment of such systems. Through a performance study, we show that the HMS is reliable yet fast enough to be able to support efficient clinical data communication.

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Year:  2006        PMID: 16871733     DOI: 10.1109/titb.2006.874201

Source DB:  PubMed          Journal:  IEEE Trans Inf Technol Biomed        ISSN: 1089-7771


  6 in total

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Authors:  Pritish K Tosh; Henry Feldman; Michael D Christian; Asha V Devereaux; Niranjan Kissoon; Jeffrey R Dichter
Journal:  Chest       Date:  2014-10       Impact factor: 9.410

2.  Factors affecting acceptability and usability of technological approaches to diabetes self-management: a case study.

Authors:  Ann M Vuong; John C Huber; Jane N Bolin; Marcia G Ory; Darcy M Moudouni; Janet Helduser; Dawn Begaye; Timethia J Bonner; Samuel N Forjuoh
Journal:  Diabetes Technol Ther       Date:  2012-09-26       Impact factor: 6.118

3.  The performance of mHealth in cancer supportive care: a research agenda.

Authors:  Greta Nasi; Maria Cucciniello; Claudia Guerrazzi
Journal:  J Med Internet Res       Date:  2015-02-13       Impact factor: 5.428

Review 4.  Mobile technologies and geographic information systems to improve health care systems: a literature review.

Authors:  José António Nhavoto; Ake Grönlund
Journal:  JMIR Mhealth Uhealth       Date:  2014-05-08       Impact factor: 4.773

5.  Monitoring heart disease and diabetes with mobile internet communications.

Authors:  David Mulvaney; Bryan Woodward; Sekharjit Datta; Paul Harvey; Anoop Vyas; Bhaskar Thakker; Omar Farooq; Robert Istepanian
Journal:  Int J Telemed Appl       Date:  2012-11-18

6.  m-Health: Lessons Learned by m-Experiences.

Authors:  José Bravo; Ramón Hervás; Jesús Fontecha; Iván González
Journal:  Sensors (Basel)       Date:  2018-05-15       Impact factor: 3.576

  6 in total

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