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Challenges of Personal Health Records

Challenges of Personal Health Records Letters 2. Ip JE. Evaluation of cardiac rhythm abnormalities from wearable devices. JAMA. In Reply Dr Freeman and Ms Karney outline 3 possible pitfalls of 2019;321(11):1098-1099. doi:10.1001/jama.2019.1681 1 personal health records deserving of additional consideration. 3. Bumgarner JM, Lambert CT, Hussein AA, et al. Smartwatch algorithm for The authors identify the dilemma of data storage limita- automated detection of atrial fibrillation. J Am Coll Cardiol. 2018;71(21):2381-2388. tions when patients control and curate their personal health doi:10.1016/j.jacc.2018.03.003 records. In designing meaningful, scalable, and efficient sys- 4. Ip JE, Lerman BB. Diagnosing supraventricular tachycardia: when physical tems, engineers must build these systems with patient and examination trumps the electrocardiogram. Circ Arrhythm Electrophysiol. 2015; 8(5):1291-1292. doi:10.1161/CIRCEP.115.003082 clinician usability in mind. For example, a system that stores the text radiology report of a magnetic resonance imaging study would be superior to a system that stores the text radi- ology report as well as the large image file on a device with To the Editor Dr Dameff and colleagues discussed the promise limited memory. of personal health records during the smartphone era. How- To manage increasing amounts of patient data, care must ever, one challenge is the increasing amount of data per hu- be http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png JAMA American Medical Association

Challenges of Personal Health Records

JAMA , Volume 321 (23) – Jun 18, 2019

Challenges of Personal Health Records

Abstract

Letters 2. Ip JE. Evaluation of cardiac rhythm abnormalities from wearable devices. JAMA. In Reply Dr Freeman and Ms Karney outline 3 possible pitfalls of 2019;321(11):1098-1099. doi:10.1001/jama.2019.1681 1 personal health records deserving of additional consideration. 3. Bumgarner JM, Lambert CT, Hussein AA, et al. Smartwatch algorithm for The authors identify the dilemma of data storage limita- automated detection of atrial fibrillation. J Am Coll Cardiol. 2018;71(21):2381-2388. tions when...
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Publisher
American Medical Association
Copyright
Copyright 2019 American Medical Association. All Rights Reserved.
ISSN
0098-7484
eISSN
1538-3598
DOI
10.1001/jama.2019.4804
Publisher site
See Article on Publisher Site

Abstract

Letters 2. Ip JE. Evaluation of cardiac rhythm abnormalities from wearable devices. JAMA. In Reply Dr Freeman and Ms Karney outline 3 possible pitfalls of 2019;321(11):1098-1099. doi:10.1001/jama.2019.1681 1 personal health records deserving of additional consideration. 3. Bumgarner JM, Lambert CT, Hussein AA, et al. Smartwatch algorithm for The authors identify the dilemma of data storage limita- automated detection of atrial fibrillation. J Am Coll Cardiol. 2018;71(21):2381-2388. tions when patients control and curate their personal health doi:10.1016/j.jacc.2018.03.003 records. In designing meaningful, scalable, and efficient sys- 4. Ip JE, Lerman BB. Diagnosing supraventricular tachycardia: when physical tems, engineers must build these systems with patient and examination trumps the electrocardiogram. Circ Arrhythm Electrophysiol. 2015; 8(5):1291-1292. doi:10.1161/CIRCEP.115.003082 clinician usability in mind. For example, a system that stores the text radiology report of a magnetic resonance imaging study would be superior to a system that stores the text radi- ology report as well as the large image file on a device with To the Editor Dr Dameff and colleagues discussed the promise limited memory. of personal health records during the smartphone era. How- To manage increasing amounts of patient data, care must ever, one challenge is the increasing amount of data per hu- be

Journal

JAMAAmerican Medical Association

Published: Jun 18, 2019

References