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智能手机医学计算应用程序准确性评估。

Evaluation of the accuracy of smartphone medical calculation apps.

作者信息

Bierbrier Rachel, Lo Vivian, Wu Robert C

机构信息

University Health Network, Centre for Innovation in Complex Care, Toronto, ON, Canada.

出版信息

J Med Internet Res. 2014 Feb 3;16(2):e32. doi: 10.2196/jmir.3062.

Abstract

BACKGROUND

Mobile phones with operating systems and capable of running applications (smartphones) are increasingly being used in clinical settings. Medical calculating applications are popular mhealth apps for smartphones. These include, for example, apps that calculate the severity or likelihood of disease-based clinical scoring systems, such as determining the severity of liver disease, the likelihood of having a pulmonary embolism, and risk stratification in acute coronary syndrome. However, the accuracy of these apps has not been assessed.

OBJECTIVE

The objective of this study was to evaluate the accuracy of smartphone-based medical calculation apps.

METHODS

A broad search on Google Play, BlackBerry World, and the iTunes App Store was conducted to find medical calculation apps for smartphones. The list of apps was narrowed down based on inclusion and exclusion criteria focusing on functions thought to be relevant by a panel of general internists (number of functions =13). Ten case values were inputted for each function and were compared to manual calculations. For each case, the correct answer was assigned a score of 1. A score for the 10 cases was calculated based on the accuracy of the results for each function on each app.

RESULTS

We tested 14 apps and 13 functions for each app if that function was available. We conducted 10 cases for each function for a total of 1240 tests. Most functions tested on the apps were accurate in their results with an overall accuracy of 98.6% (17 errors in 1240 tests). In all, 6 of 14 (43%) apps had 100% accuracy. Although 11 of 13 (85%) functions had perfect accuracy, there were issues with 2 functions: the Child-Pugh scores and Model for End-Stage Liver Disease (MELD) scores on 8 apps. Approximately half of the errors were clinically significant resulting in a significant change in prognosis (8/17, 47%).

CONCLUSIONS

The results suggest that most medical calculating apps provide accurate and reliable results. The free apps that were 100% accurate and contained the most functions desired by internists were CliniCalc, Calculate by QxMD, and Medscape. When using medical calculating apps, the answers will likely be accurate; however, it is important to be careful when calculating MELD scores or Child-Pugh scores on some apps. Despite the few errors found, greater scrutiny is warranted to ensure full accuracy of smartphone medical calculator apps.

摘要

背景

带有操作系统且能够运行应用程序的手机(智能手机)在临床环境中的使用越来越普遍。医学计算应用程序是智能手机上流行的移动健康应用。例如,这些应用包括基于疾病严重程度或可能性的临床评分系统进行计算的应用,如确定肝病的严重程度、发生肺栓塞的可能性以及急性冠状动脉综合征的风险分层。然而,这些应用的准确性尚未得到评估。

目的

本研究的目的是评估基于智能手机的医学计算应用的准确性。

方法

在谷歌应用商店、黑莓世界和iTunes应用商店进行广泛搜索,以查找智能手机的医学计算应用。根据由普通内科医生小组认为相关的功能(功能数量 = 13)的纳入和排除标准,缩小应用列表范围。为每个功能输入10个病例值,并与手动计算结果进行比较。对于每个病例,正确答案得1分。根据每个应用上每个功能的结果准确性计算10个病例的得分。

结果

我们测试了14个应用,如果某个功能可用,则为每个应用测试13个功能。每个功能进行10个病例测试,共进行1240次测试。应用上测试的大多数功能结果准确,总体准确率为98.6%(1240次测试中有17次错误)。总共14个应用中有6个(43%)准确率为100%。虽然13个功能中有11个(85%)准确率完美,但有2个功能存在问题:8个应用上的Child-Pugh评分和终末期肝病模型(MELD)评分。大约一半的错误在临床上具有显著意义,导致预后发生显著变化(8/17,47%)。

结论

结果表明,大多数医学计算应用提供准确可靠的结果。100%准确且包含内科医生最需要功能的免费应用是CliniCalc、Calculate by QxMD和Medscape。使用医学计算应用时,答案可能是准确的;然而,在某些应用上计算MELD评分或Child-Pugh评分时要小心。尽管发现的错误很少,但仍需进行更严格的审查以确保智能手机医学计算器应用的完全准确性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a59d/3936266/ded905646221/jmir_v16i2e32_fig1.jpg

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