Literature DB >> 21854873

Design and development of a mobile computer application to reengineer workflows in the hospital and the methodology to evaluate its effectiveness.

Andreas Holzinger1, Primoz Kosec, Gerold Schwantzer, Matjaz Debevc, Rainer Hofmann-Wellenhof, Julia Frühauf.   

Abstract

This paper describes a new method of collecting additional data for the purpose of skin cancer research from the patients in the hospital using the system Mobile Computing in Medicine Graz (MoCoMed-Graz). This system departs from the traditional paper-based questionnaire data collection methods and implements a new composition of evaluation methods to demonstrate its effectiveness. The patients fill out a questionnaire on a Tablet-PC (or iPad Device) and the resulting medical data is integrated into the electronic patient record for display when the patient enters the doctor's examination room. Since the data is now part of the electronic patient record, the doctor can discuss the data together with the patient making corrections or completions where necessary, thus enhancing data quality and patient empowerment. A further advantage is that all questionnaires are in the system at the end of the day - and manual entry is no longer necessary - consequently raising data completeness. The front end was developed using a User Centered Design Process for touch tablet computers and transfers the data in XML to the SAP based enterprise hospital information system. The system was evaluated at the Graz University Hospital - where about 30 outpatients consult the pigmented lesion clinic each day - following Bronfenbrenner's three level perspective: The microlevel, the mesolevel and the macrolevel: On the microlevel, the questions answered by 194 outpatients, evaluated with the System Usability Scale (SUS) resulted in a median of 97.5 (min: 50, max: 100) which showed that it is easy to use. On the mesolevel, the time spent by medical doctors was measured before and after the implementation of the system; the medical task performance time of 20 doctors (age median 43 (min: 29; max: 50)) showed a reduction of 90%. On the macrolevel, a cost model was developed to show how much money can be saved by the hospital management. This showed that, for an average of 30 patients per day, on a 250 day basis per year in this single clinic, the hospital management can save up to 40,000 EUR per annum, proving that mobile computers can successfully contribute to workflow optimization.
Copyright © 2011 Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 21854873     DOI: 10.1016/j.jbi.2011.07.003

Source DB:  PubMed          Journal:  J Biomed Inform        ISSN: 1532-0464            Impact factor:   6.317


  12 in total

Review 1.  Empirical studies on usability of mHealth apps: a systematic literature review.

Authors:  Belén Cruz Zapata; José Luis Fernández-Alemán; Ali Idri; Ambrosio Toval
Journal:  J Med Syst       Date:  2015-01-20       Impact factor: 4.460

2.  Using peers to assess handoffs: a pilot study.

Authors:  C Jessica Dine; Nicholas Wingate; Ilene M Rosen; Jennifer S Myers; Jennifer Lapin; Jennifer R Kogan; Judy A Shea
Journal:  J Gen Intern Med       Date:  2013-08       Impact factor: 5.128

3.  Evaluating the feasibility of using online software to collect patient information in a chiropractic practice-based research network.

Authors:  Ania Kania-Richmond; Laura Weeks; Jeffrey Scholten; Mikaël Reney
Journal:  J Can Chiropr Assoc       Date:  2016-03

Review 4.  Mobile Applications for Type 2 Diabetes Risk Estimation: a Systematic Review.

Authors:  Nino Fijacko; Petra Povalej Brzan; Gregor Stiglic
Journal:  J Med Syst       Date:  2015-08-25       Impact factor: 4.460

Review 5.  The role of mobile technologies in health care processes: the case of cancer supportive care.

Authors:  Greta Nasi; Maria Cucciniello; Claudia Guerrazzi
Journal:  J Med Internet Res       Date:  2015-02-12       Impact factor: 5.428

6.  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

7.  Mobile App Design, Development, and Publication for Adverse Drug Reaction Assessments of Causality, Severity, and Preventability.

Authors:  Muslimah Ithnin; Mohd Dzulkhairi Mohd Rani; Zuraidah Abd Latif; Paveethra Kani; Asmalita Syaiful; Khairun Nain Nor Aripin; Tengku Amatullah Madeehah Tengku Mohd
Journal:  JMIR Mhealth Uhealth       Date:  2017-05-30       Impact factor: 4.773

8.  Measuring Mental Effort for Creating Mobile Data Collection Applications.

Authors:  Johannes Schobel; Thomas Probst; Manfred Reichert; Winfried Schlee; Marc Schickler; Hans A Kestler; Rüdiger Pryss
Journal:  Int J Environ Res Public Health       Date:  2020-03-03       Impact factor: 3.390

9.  Smartphone apps for cardiopulmonary resuscitation training and real incident support: a mixed-methods evaluation study.

Authors:  Marco Kalz; Niklas Lenssen; Marc Felzen; Rolf Rossaint; Bernardo Tabuenca; Marcus Specht; Max Skorning
Journal:  J Med Internet Res       Date:  2014-03-19       Impact factor: 5.428

10.  Towards a low-cost mobile subcutaneous vein detection solution using near-infrared spectroscopy.

Authors:  Simon Juric; Vojko Flis; Matjaz Debevc; Andreas Holzinger; Borut Zalik
Journal:  ScientificWorldJournal       Date:  2014-04-30
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