Literature DB >> 11825162

Development of a Personal Digital Assistant (PDA) based client/server NICU patient data and charting system.

A E Carroll1, S Saluja, P Tarczy-Hornoch.   

Abstract

Personal Digital Assistants (PDAs) offer clinicians the ability to enter and manage critical information at the point of care. Although PDAs have always been designed to be intuitive and easy to use, recent advances in technology have made them even more accessible. The ability to link data on a PDA (client) to a central database (server) allows for near-unlimited potential in developing point of care applications and systems for patient data management. Although many stand-alone systems exist for PDAs, none are designed to work in an integrated client/server environment. This paper describes the design, software and hardware selection, and preliminary testing of a PDA based patient data and charting system for use in the University of Washington Neonatal Intensive Care Unit (NICU). This system will be the subject of a subsequent study to determine its impact on patient outcomes and clinician efficiency.

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Mesh:

Year:  2001        PMID: 11825162      PMCID: PMC2243582     

Source DB:  PubMed          Journal:  Proc AMIA Symp        ISSN: 1531-605X


  5 in total

1.  Techniques for identifying the applicability of new information management technologies in the clinical setting: an example focusing on handheld computers.

Authors:  D F Sittig; H B Jimison; B L Hazlehurst; B E Churchill; J A Lyman; M F Mailhot; E A Quick; D A Simpson
Journal:  Proc AMIA Symp       Date:  2000

2.  Wireless clinical alerts for physiologic, laboratory and medication data.

Authors:  M M Shabot; M LoBue; J Chen
Journal:  Proc AMIA Symp       Date:  2000

3.  Secure remote access to a clinical data repository using a wireless personal digital assistant (PDA).

Authors:  R G Duncan; M M Shabot
Journal:  Proc AMIA Symp       Date:  2000

4.  Clinicians' use of a palm-top based system to elicit patient preferences at the bedside: a feasible technique to improve patient outcomes.

Authors:  C M Ruland
Journal:  Proc AMIA Symp       Date:  2000

5.  Family practice clerkship encounters documented with structured phrases on paper and hand-held computer logs.

Authors:  M Marshall; W Sumner
Journal:  Proc AMIA Symp       Date:  2000
  5 in total
  9 in total

Review 1.  Handheld computing in medicine.

Authors:  Sandra Fischer; Thomas E Stewart; Sangeeta Mehta; Randy Wax; Stephen E Lapinsky
Journal:  J Am Med Inform Assoc       Date:  2003 Mar-Apr       Impact factor: 4.497

2.  PalmCIS: a wireless handheld application for satisfying clinician information needs.

Authors:  Elizabeth S Chen; Eneida A Mendonça; Lawrence K McKnight; Peter D Stetson; Jianbo Lei; James J Cimino
Journal:  J Am Med Inform Assoc       Date:  2003-10-05       Impact factor: 4.497

3.  NICU Notes: A Palm OS and Windows database software product and process to facilitate patient care in the newborn intensive care unit.

Authors:  Joseph Schulman
Journal:  AMIA Annu Symp Proc       Date:  2003

4.  Use of personal digital assistants for data collection in a multi-site AIDS stigma study in rural south Nyanza, Kenya.

Authors:  M A Onono; N Carraher; R C Cohen; E A Bukusi; J M Turan
Journal:  Afr Health Sci       Date:  2011-09       Impact factor: 0.927

Review 5.  Use of handheld computers in medical education. A systematic review.

Authors:  Anna Kho; Laura E Henderson; Daniel D Dressler; Sunil Kripalani
Journal:  J Gen Intern Med       Date:  2006-05       Impact factor: 5.128

6.  Development, implementation and preliminary study of a PDA-based tuberculosis result collection system.

Authors:  Joaquin Blaya; Hamish S F Fraser
Journal:  AMIA Annu Symp Proc       Date:  2006

7.  A mobile Nursing Information System based on human-computer interaction design for improving quality of nursing.

Authors:  Kuo-Wei Su; Cheng-Li Liu
Journal:  J Med Syst       Date:  2010-09-09       Impact factor: 4.460

8.  Personal digital assistants to collect tuberculosis bacteriology data in Peru reduce delays, errors, and workload, and are acceptable to users: cluster randomized controlled trial.

Authors:  Joaquín A Blaya; Ted Cohen; Pablo Rodríguez; Jihoon Kim; Hamish S F Fraser
Journal:  Int J Infect Dis       Date:  2008-12-18       Impact factor: 3.623

9.  Handheld computing in pathology.

Authors:  Seung Park; Anil Parwani; Mahadev Satyanarayanan; Liron Pantanowitz
Journal:  J Pathol Inform       Date:  2012-04-18
  9 in total

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