Title
A web application for follow-up of results from a mobile device test battery for Parkinson's disease patients.
Abstract
This paper describes a web-based system for enabling remote monitoring of patients with Parkinson's disease (PD) and supporting clinicians in treating their patients. The system consists of a patient node for subjective and objective data collection based on a handheld computer, a service node for data storage and processing, and a web application for data presentation. Using statistical and machine learning methods, time series of raw data are summarized into scores for conceptual symptom dimensions and an "overall test score" providing a comprehensive profile of patient's health during a test period of about one week. The handheld unit was used quarterly or biannually by 65 patients with advanced PD for up to four years at nine clinics in Sweden. The IBM Computer System Usability Questionnaire was administered to assess nurses' satisfaction with the web application. Results showed that a majority of the nurses were quite satisfied with the usability although a sizeable minority were not. Our findings support that this system can become an efficient tool to easily access relevant symptom information from the home environment of PD patients.
Year
DOI
Venue
2011
10.1016/j.cmpb.2011.07.017
Computer Methods and Programs in Biomedicine
Keywords
Field
DocType
pd patient,raw data,disease patient,web-based system,data storage,advanced pd,mobile device test battery,web application,data presentation,objective data collection,conceptual symptom dimension,handheld computer,principal component analysis,time series,information science,machine learning,patient monitoring,satisfiability,remote monitoring,remote patient monitoring,medical engineering,decision support,mobile device,neurology,medical informatics,data collection
Telemedicine,Data mining,Test score,Remote patient monitoring,Raw data,Artificial intelligence,Web application,Medicine,Data collection,Computer vision,Usability,Medical physics,Health informatics
Journal
Volume
Issue
ISSN
104
2
1872-7565
Citations 
PageRank 
References 
8
1.28
5
Authors
5
Name
Order
Citations
PageRank
Mevludin Memedi1378.43
Jerker Westin26110.63
Dag Nyholm36911.95
Mark Dougherty4416.88
Torgny Groth581.28