An Analysis of Data Management Tools for Diabetes Self-Management: Can Smart Phone Technology Keep Up?

Ciemins, Elizabeth L.; Coon, Patricia J.; Sorli, Christopher H.

doi:10.1177/193229681000400427

Cited by 31 publications

(21 citation statements)

References 16 publications

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“…6 Some of these applications have been evaluated in the peer-reviewed literature including instruments used to aid autobiographical memory in Alzheimer’s patients, 7 to assist in the delivery of cardiac life support, 8 and in diabetes management. 9 However, this type of evaluation is not common for applications marketed directly to consumers.…”

Section: Discussionmentioning

confidence: 99%

Diagnostic Inaccuracy of Smartphone Applications for Melanoma Detection

Wolf

Moreau

Akilov³

et al. 2013

JAMA Dermatol

348

228

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Objective To measure the performance of smart phone applications which evaluate photographs of skin lesions and provide the user feedback as to their likelihood of malignancy. Design Case-control diagnostic accuracy study Setting Academic dermatology department Participants Digital clinical images of pigmented cutaneous lesions (60 melanoma cases and 128 benign lesion controls), all with histologic diagnosis rendered by a board-certified dermatopathologist, obtained prior to biopsy in patients undergoing lesion removal as part of routine care. Main Outcome Measures Sensitivity, specificity, and positive and negative predictive values of four smart phone applications designed to aid non-clinician users in determining if their skin lesion is benign or malignant. Results Sensitivity of the four tested applications ranged from 6.8% to 98.1%. Specificity ranged from 30.4% to 93.7%. Positive predictive value ranged from 33.3% to 42.1%, and negative predictive value ranged from 65.4% to 97.0%. The highest sensitivity for melanoma diagnosis was observed for an application that sends the image directly to a board-certified dermatologist for analysis and the lowest sensitivity was observed for applications that use automated algorithms to analyze images. Conclusions The performance of smart phone applications in assessing melanoma risk is highly variable, and 3 out of 4 smart phone applications incorrectly classified 30% or more of melanomas as unconcerning. Reliance on these applications, which are not subject to regulatory oversight, in lieu of medical consultation, has the potential to delay the diagnosis of melanoma and to harm users.

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Section: Discussionmentioning

confidence: 99%

Diagnostic Inaccuracy of Smartphone Applications for Melanoma Detection

Wolf

Moreau

Akilov³

et al. 2013

JAMA Dermatol

348

228

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“…Providers should be able to respond to patients easily, manually, and through automated alerts to assist patients in managing their condition. 33 Communication functionalities primarily allow patients to share their data with clinicians, peers, and families.…”

Section: Communicationmentioning

confidence: 99%

Mobile Applications for Diabetes Self-Management: Status and Potential

El‐Gayar

Timsina

Nawar

et al. 2013

J Diabetes Sci Technol

333

264

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“…29 Internet browsing capabilities provide rapid access to online data and published information and allow the utilization of numerous healthcarerelated software programs covering aspects as diverse as education, online calculators (allowing dose or measurement calculation), and interactive advice. [30][31][32][33] Various reports have also suggested that the use of mobile phones improve patient care by allowing early and remote expert professional opinion in medical decision making. 34 For example, the rapid transfer of data such as lab results and images 35 including radiographs 36 significantly improved communication between specialties 16 and allow earlier diagnosis, decisions, and treatment.…”

Section: Introductionmentioning

confidence: 99%

Increasing Clinical Presence of Mobile Communication Technology: Avoiding the Pitfalls

Visvanathan

Gibb

Brady

2011

Telemedicine and e-Health

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Mobile communication technologies are employed in many diverse areas of healthcare delivery to provide improved quality and efficiency of communication and facilitate increased rapidity of data or information transfer. Mobile phones enable healthcare professionals to possess a portable platform from which to provide many healthcare-related applications and are a popular means to directly communicate with colleagues and patients. As involvement of mobile communication technology in healthcare delivery continues to rapidly expand, there are also important considerations of relevance to patient safety and security as a result. Here, we review the previous evidence of reported clinical risks associated with mobile communication technology, such as electromagnetic interference, confidentiality and data security, distraction/noise, infection control, and cross contamination. In conclusion, although mobile phones provide much putative potential improvement to healthcare delivery, further evaluation and research are required to both inform and protect health professionals and users of such technology in the healthcare environment and provide the evidence base to support the provision of clear and comprehensive guidelines.

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An Analysis of Data Management Tools for Diabetes Self-Management: Can Smart Phone Technology Keep Up?

Cited by 31 publications

References 16 publications

Diagnostic Inaccuracy of Smartphone Applications for Melanoma Detection

Diagnostic Inaccuracy of Smartphone Applications for Melanoma Detection

Mobile Applications for Diabetes Self-Management: Status and Potential

Increasing Clinical Presence of Mobile Communication Technology: Avoiding the Pitfalls

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