From smartphone to EHR: a case report on integrating patient-generated health data

Patient-generated health data (PGHD), collected from mobile apps and devices, represents an opportunity for remote patient monitoring and timely interventions to prevent acute exacerbations of chronic illness—if data are seen and shared by care teams. This case report describes the technical aspects...

Full description

Saved in:
Bibliographic Details
Published inNPJ digital medicine Vol. 1; no. 1; p. 23
Main Authors Genes, Nicholas, Violante, Samantha, Cetrangol, Christine, Rogers, Linda, Schadt, Eric E., Chan, Yu-Feng Yvonne
Format Journal Article
LanguageEnglish
Published London Nature Publishing Group UK 20.06.2018
Nature Publishing Group
Subjects
Online AccessGet full text
ISSN2398-6352
2398-6352
DOI10.1038/s41746-018-0030-8

Cover

Abstract Patient-generated health data (PGHD), collected from mobile apps and devices, represents an opportunity for remote patient monitoring and timely interventions to prevent acute exacerbations of chronic illness—if data are seen and shared by care teams. This case report describes the technical aspects of integrating data from a popular smartphone platform to a commonly used EHR vendor and explores the challenges and potential of this approach for disease management. Consented subjects using the Asthma Health app (built on Apple’s ResearchKit platform) were able to share data on inhaler usage and peak expiratory flow rate (PEFR) with a local pulmonologist who ordered this data on Epic’s EHR. For users who had installed and activated Epic’s patient portal (MyChart) on their iPhone and enabled sharing of health data between apps via HealthKit, the pulmonologist could review PGHD and, if necessary, make recommendations. Four patients agreed to share data with their pulmonologist, though only two patients submitted more than one data point across the 4.5-month trial period. One of these patients submitted 101 PEFR readings across 65 days; another submitted 24 PEFR and inhaler usage readings across 66 days. PEFR for both patients fell within predefined physiologic parameters, except once where a low threshold notification was sent to the pulmonologist, who responded with a telephone discussion and new e-prescription to address symptoms. This research describes the technical considerations and implementation challenges of using commonly available frameworks for sharing PGHD, for the purpose of remote monitoring to support timely care interventions. mHealth: Smartphone app syncs with health record to improve asthma care Patients with asthma who record inhaler usage and lung function scores with a smartphone app and transmit the data to an electronic health record (EHR) can get timelier care and prescription adjustments from their doctors. A team led by Yvonne Chan and Nicholas Genes from the Icahn School of Medicine at Mount Sinai in New York, NY, USA explored the feasibility of having patients self-report health data on an iPhone app called Asthma Health and then share the information with their pulmonologists via an EHR patient portal app. Four patients took part in the study, but only two really engaged in the platform. Those patients submitted multiple measures of peak expiratory flow rate per week. In one instance, the measure triggered a pulmonologist to call the patient and prescribe new allergy medications.
AbstractList Patient-generated health data (PGHD), collected from mobile apps and devices, represents an opportunity for remote patient monitoring and timely interventions to prevent acute exacerbations of chronic illness—if data are seen and shared by care teams. This case report describes the technical aspects of integrating data from a popular smartphone platform to a commonly used EHR vendor and explores the challenges and potential of this approach for disease management. Consented subjects using the Asthma Health app (built on Apple’s ResearchKit platform) were able to share data on inhaler usage and peak expiratory flow rate (PEFR) with a local pulmonologist who ordered this data on Epic’s EHR. For users who had installed and activated Epic’s patient portal (MyChart) on their iPhone and enabled sharing of health data between apps via HealthKit, the pulmonologist could review PGHD and, if necessary, make recommendations. Four patients agreed to share data with their pulmonologist, though only two patients submitted more than one data point across the 4.5-month trial period. One of these patients submitted 101 PEFR readings across 65 days; another submitted 24 PEFR and inhaler usage readings across 66 days. PEFR for both patients fell within predefined physiologic parameters, except once where a low threshold notification was sent to the pulmonologist, who responded with a telephone discussion and new e-prescription to address symptoms. This research describes the technical considerations and implementation challenges of using commonly available frameworks for sharing PGHD, for the purpose of remote monitoring to support timely care interventions. Patients with asthma who record inhaler usage and lung function scores with a smartphone app and transmit the data to an electronic health record (EHR) can get timelier care and prescription adjustments from their doctors. A team led by Yvonne Chan and Nicholas Genes from the Icahn School of Medicine at Mount Sinai in New York, NY, USA explored the feasibility of having patients self-report health data on an iPhone app called Asthma Health and then share the information with their pulmonologists via an EHR patient portal app. Four patients took part in the study, but only two really engaged in the platform. Those patients submitted multiple measures of peak expiratory flow rate per week. In one instance, the measure triggered a pulmonologist to call the patient and prescribe new allergy medications.
Patient-generated health data (PGHD), collected from mobile apps and devices, represents an opportunity for remote patient monitoring and timely interventions to prevent acute exacerbations of chronic illness—if data are seen and shared by care teams. This case report describes the technical aspects of integrating data from a popular smartphone platform to a commonly used EHR vendor and explores the challenges and potential of this approach for disease management. Consented subjects using the Asthma Health app (built on Apple’s ResearchKit platform) were able to share data on inhaler usage and peak expiratory flow rate (PEFR) with a local pulmonologist who ordered this data on Epic’s EHR. For users who had installed and activated Epic’s patient portal (MyChart) on their iPhone and enabled sharing of health data between apps via HealthKit, the pulmonologist could review PGHD and, if necessary, make recommendations. Four patients agreed to share data with their pulmonologist, though only two patients submitted more than one data point across the 4.5-month trial period. One of these patients submitted 101 PEFR readings across 65 days; another submitted 24 PEFR and inhaler usage readings across 66 days. PEFR for both patients fell within predefined physiologic parameters, except once where a low threshold notification was sent to the pulmonologist, who responded with a telephone discussion and new e-prescription to address symptoms. This research describes the technical considerations and implementation challenges of using commonly available frameworks for sharing PGHD, for the purpose of remote monitoring to support timely care interventions.
Patient-generated health data (PGHD), collected from mobile apps and devices, represents an opportunity for remote patient monitoring and timely interventions to prevent acute exacerbations of chronic illness—if data are seen and shared by care teams. This case report describes the technical aspects of integrating data from a popular smartphone platform to a commonly used EHR vendor and explores the challenges and potential of this approach for disease management. Consented subjects using the Asthma Health app (built on Apple’s ResearchKit platform) were able to share data on inhaler usage and peak expiratory flow rate (PEFR) with a local pulmonologist who ordered this data on Epic’s EHR. For users who had installed and activated Epic’s patient portal (MyChart) on their iPhone and enabled sharing of health data between apps via HealthKit, the pulmonologist could review PGHD and, if necessary, make recommendations. Four patients agreed to share data with their pulmonologist, though only two patients submitted more than one data point across the 4.5-month trial period. One of these patients submitted 101 PEFR readings across 65 days; another submitted 24 PEFR and inhaler usage readings across 66 days. PEFR for both patients fell within predefined physiologic parameters, except once where a low threshold notification was sent to the pulmonologist, who responded with a telephone discussion and new e-prescription to address symptoms. This research describes the technical considerations and implementation challenges of using commonly available frameworks for sharing PGHD, for the purpose of remote monitoring to support timely care interventions.mHealth: Smartphone app syncs with health record to improve asthma carePatients with asthma who record inhaler usage and lung function scores with a smartphone app and transmit the data to an electronic health record (EHR) can get timelier care and prescription adjustments from their doctors. A team led by Yvonne Chan and Nicholas Genes from the Icahn School of Medicine at Mount Sinai in New York, NY, USA explored the feasibility of having patients self-report health data on an iPhone app called Asthma Health and then share the information with their pulmonologists via an EHR patient portal app. Four patients took part in the study, but only two really engaged in the platform. Those patients submitted multiple measures of peak expiratory flow rate per week. In one instance, the measure triggered a pulmonologist to call the patient and prescribe new allergy medications.
Patient-generated health data (PGHD), collected from mobile apps and devices, represents an opportunity for remote patient monitoring and timely interventions to prevent acute exacerbations of chronic illness-if data are seen and shared by care teams. This case report describes the technical aspects of integrating data from a popular smartphone platform to a commonly used EHR vendor and explores the challenges and potential of this approach for disease management. Consented subjects using the Asthma Health app (built on Apple's ResearchKit platform) were able to share data on inhaler usage and peak expiratory flow rate (PEFR) with a local pulmonologist who ordered this data on Epic's EHR. For users who had installed and activated Epic's patient portal (MyChart) on their iPhone and enabled sharing of health data between apps via HealthKit, the pulmonologist could review PGHD and, if necessary, make recommendations. Four patients agreed to share data with their pulmonologist, though only two patients submitted more than one data point across the 4.5-month trial period. One of these patients submitted 101 PEFR readings across 65 days; another submitted 24 PEFR and inhaler usage readings across 66 days. PEFR for both patients fell within predefined physiologic parameters, except once where a low threshold notification was sent to the pulmonologist, who responded with a telephone discussion and new e-prescription to address symptoms. This research describes the technical considerations and implementation challenges of using commonly available frameworks for sharing PGHD, for the purpose of remote monitoring to support timely care interventions.Patient-generated health data (PGHD), collected from mobile apps and devices, represents an opportunity for remote patient monitoring and timely interventions to prevent acute exacerbations of chronic illness-if data are seen and shared by care teams. This case report describes the technical aspects of integrating data from a popular smartphone platform to a commonly used EHR vendor and explores the challenges and potential of this approach for disease management. Consented subjects using the Asthma Health app (built on Apple's ResearchKit platform) were able to share data on inhaler usage and peak expiratory flow rate (PEFR) with a local pulmonologist who ordered this data on Epic's EHR. For users who had installed and activated Epic's patient portal (MyChart) on their iPhone and enabled sharing of health data between apps via HealthKit, the pulmonologist could review PGHD and, if necessary, make recommendations. Four patients agreed to share data with their pulmonologist, though only two patients submitted more than one data point across the 4.5-month trial period. One of these patients submitted 101 PEFR readings across 65 days; another submitted 24 PEFR and inhaler usage readings across 66 days. PEFR for both patients fell within predefined physiologic parameters, except once where a low threshold notification was sent to the pulmonologist, who responded with a telephone discussion and new e-prescription to address symptoms. This research describes the technical considerations and implementation challenges of using commonly available frameworks for sharing PGHD, for the purpose of remote monitoring to support timely care interventions.
Patient-generated health data (PGHD), collected from mobile apps and devices, represents an opportunity for remote patient monitoring and timely interventions to prevent acute exacerbations of chronic illness—if data are seen and shared by care teams. This case report describes the technical aspects of integrating data from a popular smartphone platform to a commonly used EHR vendor and explores the challenges and potential of this approach for disease management. Consented subjects using the Asthma Health app (built on Apple’s ResearchKit platform) were able to share data on inhaler usage and peak expiratory flow rate (PEFR) with a local pulmonologist who ordered this data on Epic’s EHR. For users who had installed and activated Epic’s patient portal (MyChart) on their iPhone and enabled sharing of health data between apps via HealthKit, the pulmonologist could review PGHD and, if necessary, make recommendations. Four patients agreed to share data with their pulmonologist, though only two patients submitted more than one data point across the 4.5-month trial period. One of these patients submitted 101 PEFR readings across 65 days; another submitted 24 PEFR and inhaler usage readings across 66 days. PEFR for both patients fell within predefined physiologic parameters, except once where a low threshold notification was sent to the pulmonologist, who responded with a telephone discussion and new e-prescription to address symptoms. This research describes the technical considerations and implementation challenges of using commonly available frameworks for sharing PGHD, for the purpose of remote monitoring to support timely care interventions. mHealth: Smartphone app syncs with health record to improve asthma care Patients with asthma who record inhaler usage and lung function scores with a smartphone app and transmit the data to an electronic health record (EHR) can get timelier care and prescription adjustments from their doctors. A team led by Yvonne Chan and Nicholas Genes from the Icahn School of Medicine at Mount Sinai in New York, NY, USA explored the feasibility of having patients self-report health data on an iPhone app called Asthma Health and then share the information with their pulmonologists via an EHR patient portal app. Four patients took part in the study, but only two really engaged in the platform. Those patients submitted multiple measures of peak expiratory flow rate per week. In one instance, the measure triggered a pulmonologist to call the patient and prescribe new allergy medications.
ArticleNumber 23
Author Violante, Samantha
Schadt, Eric E.
Chan, Yu-Feng Yvonne
Cetrangol, Christine
Rogers, Linda
Genes, Nicholas
Author_xml – sequence: 1
  givenname: Nicholas
  surname: Genes
  fullname: Genes, Nicholas
  organization: Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai , Department of Emergency Medicine, Icahn School of Medicine at Mount Sinai
– sequence: 2
  givenname: Samantha
  surname: Violante
  fullname: Violante, Samantha
  organization: Sema4, a Mount Sinai Venture
– sequence: 3
  givenname: Christine
  surname: Cetrangol
  fullname: Cetrangol, Christine
  organization: Epic Applications, Information Technology Department, Mount Sinai Health System
– sequence: 4
  givenname: Linda
  surname: Rogers
  fullname: Rogers, Linda
  organization: Mount Sinai – National Jewish Health Respiratory Institute
– sequence: 5
  givenname: Eric E.
  surname: Schadt
  fullname: Schadt, Eric E.
  email: eric.schadt@sema4genomics.com
  organization: Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai , Sema4, a Mount Sinai Venture
– sequence: 6
  givenname: Yu-Feng Yvonne
  surname: Chan
  fullname: Chan, Yu-Feng Yvonne
  email: yu-fengyvonne.chan@mssm.edu
  organization: Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai , Department of Emergency Medicine, Icahn School of Medicine at Mount Sinai, Center for Digital Health, Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai
BackLink https://www.ncbi.nlm.nih.gov/pubmed/31304305$$D View this record in MEDLINE/PubMed
BookMark eNp9UU1r3TAQFCWh-Wh-QC9F0EsvbleflnsolJA0hUAgtGch22s_Bz_JlfQC_ffVy0vSNNCcVmhndmZ3jsieDx4JecvgIwNhPiXJaqkrYKYCEFCZV-SQi8ZUWii-9-R9QE5SugEADtI0Ur8mB4IJkALUIbk-j2FN09rFvKyKAM2Bnl1cf6aOdi4hjbiEmGnwdPIZx-jy5Ee6lII-VyN6LF_Y0xW6Oa9o77J7Q_YHNyc8ua_H5Of52Y_Ti-ry6tv306-XVadB50poVw-84b1hSvJe1KyVYhgc1B1ojW0nxMBZ26qe1YNBZK2ToIRoauhboaU4Jl92c5dNu8a-K4aim-0Sp7LNbxvcZP_t-Gllx3BrtVLAGlUGfLgfEMOvDaZs11PqcJ6dx7BJlnNVvHFzp_X-GfQmbKIv61muyjW1gYYX1Lunjh6tPJy7ANgO0MWQUsThEcLAblO1u1RtSdVuU7WmcOpnnG7K5f5hu9Q0v8jkO2YqKn7E-Nf0_0l_AB_QtNw
CitedBy_id crossref_primary_10_1093_jamia_ocaa036
crossref_primary_10_1097_HCO_0000000000000891
crossref_primary_10_1177_20552076221112152
crossref_primary_10_1093_jamia_ocaa177
crossref_primary_10_1016_j_annemergmed_2021_08_002
crossref_primary_10_2196_29155
crossref_primary_10_3389_fdgth_2023_1289373
crossref_primary_10_1038_s41746_020_0236_4
crossref_primary_10_2196_57801
crossref_primary_10_1109_JBHI_2023_3271580
crossref_primary_10_1093_jamiaopen_ooz036
crossref_primary_10_1016_j_amjmed_2022_10_006
crossref_primary_10_1177_0890117120919366
crossref_primary_10_2196_35917
crossref_primary_10_3390_informatics11010002
crossref_primary_10_1007_s40279_019_01084_y
crossref_primary_10_2196_43214
crossref_primary_10_1055_s_0041_1732424
crossref_primary_10_1016_j_jbi_2020_103639
crossref_primary_10_1371_journal_pdig_0000511
crossref_primary_10_1016_j_telpol_2021_102285
crossref_primary_10_1016_j_eswa_2024_124398
crossref_primary_10_1186_s12911_021_01560_4
crossref_primary_10_1055_s_0041_1730284
crossref_primary_10_1097_ICO_0000000000002500
crossref_primary_10_1097_SAP_0000000000003179
crossref_primary_10_1055_s_0040_1718755
crossref_primary_10_1093_jamiaopen_ooae109
crossref_primary_10_1055_s_0042_1758737
crossref_primary_10_1200_JCO_20_00721
crossref_primary_10_2196_16444
crossref_primary_10_2196_31048
crossref_primary_10_1080_02770903_2021_1955378
crossref_primary_10_1371_journal_pone_0286210
crossref_primary_10_1109_JTEHM_2021_3058841
crossref_primary_10_2196_12861
crossref_primary_10_1089_tmj_2020_0427
crossref_primary_10_2196_25413
crossref_primary_10_1126_scitranslmed_abd7865
crossref_primary_10_2196_51955
crossref_primary_10_1093_jamiaopen_ooaa052
crossref_primary_10_1016_j_copbio_2019_03_004
crossref_primary_10_1016_j_iot_2020_100166
crossref_primary_10_1093_jamia_ocae138
crossref_primary_10_1177_20552076241277481
crossref_primary_10_1016_j_alit_2020_06_001
Cites_doi 10.1093/jamia/ocv206
10.1016/j.molonc.2014.08.006
10.1152/ajpregu.00349.2016
10.1089/tmj.2015.0106
10.1016/j.amjmed.2016.07.029
10.2196/jmir.5094
10.1097/HCO.0000000000000350
10.1093/jamia/ocv118
10.1371/journal.pone.0152722
10.1097/ACM.0000000000001205
10.1089/tmj.2013.0282
10.1177/1932296815622453
10.1038/nbt.3826
10.1001/jama.2014.2564
ContentType Journal Article
Copyright The Author(s) 2018
The Author(s) 2018. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Copyright_xml – notice: The Author(s) 2018
– notice: The Author(s) 2018. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
DBID C6C
AAYXX
CITATION
NPM
3V.
7RV
7X7
7XB
8FI
8FJ
8FK
ABUWG
AFKRA
AZQEC
BENPR
CCPQU
DWQXO
FYUFA
GHDGH
K9.
KB0
M0S
NAPCQ
PHGZM
PHGZT
PIMPY
PKEHL
PPXIY
PQEST
PQQKQ
PQUKI
PRINS
7X8
5PM
DOI 10.1038/s41746-018-0030-8
DatabaseName Springer Nature OA Free Journals
CrossRef
PubMed
ProQuest Central (Corporate)
ProQuest Nursing & Allied Health Database
ProQuest Health & Medical Collection
ProQuest Central (purchase pre-March 2016)
Hospital Premium Collection
Hospital Premium Collection (Alumni Edition)
ProQuest Central (Alumni) (purchase pre-March 2016)
ProQuest Central (Alumni)
ProQuest Central
ProQuest Central Essentials
ProQuest Central
ProQuest One
ProQuest Central Korea
Health Research Premium Collection
Health Research Premium Collection (Alumni)
ProQuest Health & Medical Complete (Alumni)
Nursing & Allied Health Database (Alumni Edition)
ProQuest Health & Medical Collection
Nursing & Allied Health Premium
ProQuest Central Premium
ProQuest One Academic (New)
Access via ProQuest (Open Access)
ProQuest One Academic Middle East (New)
ProQuest One Health & Nursing
ProQuest One Academic Eastern Edition (DO NOT USE)
ProQuest One Academic
ProQuest One Academic UKI Edition
ProQuest Central China
MEDLINE - Academic
PubMed Central (Full Participant titles)
DatabaseTitle CrossRef
PubMed
Publicly Available Content Database
ProQuest One Academic Middle East (New)
ProQuest Central Essentials
ProQuest Health & Medical Complete (Alumni)
ProQuest Central (Alumni Edition)
ProQuest One Community College
ProQuest One Health & Nursing
ProQuest Central China
ProQuest Central
Health Research Premium Collection
Health and Medicine Complete (Alumni Edition)
ProQuest Central Korea
ProQuest Central (New)
ProQuest One Academic Eastern Edition
ProQuest Nursing & Allied Health Source
ProQuest Hospital Collection
Health Research Premium Collection (Alumni)
ProQuest Hospital Collection (Alumni)
Nursing & Allied Health Premium
ProQuest Health & Medical Complete
ProQuest One Academic UKI Edition
ProQuest Nursing & Allied Health Source (Alumni)
ProQuest One Academic
ProQuest One Academic (New)
ProQuest Central (Alumni)
MEDLINE - Academic
DatabaseTitleList
CrossRef
Publicly Available Content Database
MEDLINE - Academic
PubMed

Database_xml – sequence: 1
  dbid: C6C
  name: Springer Nature OA Free Journals
  url: http://www.springeropen.com/
  sourceTypes: Publisher
– sequence: 2
  dbid: NPM
  name: PubMed
  url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed
  sourceTypes: Index Database
– sequence: 3
  dbid: BENPR
  name: ProQuest Central
  url: https://www.proquest.com/central
  sourceTypes: Aggregation Database
DeliveryMethod fulltext_linktorsrc
Discipline Medicine
EISSN 2398-6352
ExternalDocumentID PMC6550195
31304305
10_1038_s41746_018_0030_8
Genre Journal Article
GroupedDBID 0R~
53G
7RV
7X7
ACGFS
ADBBV
ALIPV
ALMA_UNASSIGNED_HOLDINGS
AOIJS
BCNDV
C6C
EBS
GROUPED_DOAJ
HYE
M~E
NAO
NO~
OK1
PGMZT
RNT
RPM
AAYXX
CITATION
8FI
8FJ
AAJSJ
ABUWG
ACSMW
AFKRA
AJTQC
BENPR
CCPQU
EBLON
EIHBH
EJD
FYUFA
HMCUK
NAPCQ
NPM
PIMPY
SNYQT
UKHRP
3V.
7XB
8FK
AARCD
AASML
AZQEC
DWQXO
K9.
PHGZM
PHGZT
PKEHL
PPXIY
PQEST
PQQKQ
PQUKI
PRINS
7X8
5PM
ID FETCH-LOGICAL-c606t-36a7f292d81542d371b43ffa07c066ebc33f21bb5d17f8ee1ba40533970db3643
IEDL.DBID C6C
ISSN 2398-6352
IngestDate Thu Aug 21 13:21:43 EDT 2025
Thu Sep 04 23:39:54 EDT 2025
Wed Aug 13 11:16:57 EDT 2025
Thu Jan 02 23:01:39 EST 2025
Tue Jul 01 01:09:39 EDT 2025
Thu Apr 24 22:55:09 EDT 2025
Fri Feb 21 02:39:51 EST 2025
IsDoiOpenAccess true
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Issue 1
Keywords Information technology
Data integration
Predictive markers
Language English
License Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c606t-36a7f292d81542d371b43ffa07c066ebc33f21bb5d17f8ee1ba40533970db3643
Notes ObjectType-Case Study-2
SourceType-Scholarly Journals-1
content type line 14
ObjectType-Feature-4
ObjectType-Report-1
ObjectType-Article-3
ObjectType-Article-1
ObjectType-Feature-2
content type line 23
OpenAccessLink https://www.nature.com/articles/s41746-018-0030-8
PMID 31304305
PQID 2531368092
PQPubID 5061815
ParticipantIDs pubmedcentral_primary_oai_pubmedcentral_nih_gov_6550195
proquest_miscellaneous_2258152864
proquest_journals_2531368092
pubmed_primary_31304305
crossref_primary_10_1038_s41746_018_0030_8
crossref_citationtrail_10_1038_s41746_018_0030_8
springer_journals_10_1038_s41746_018_0030_8
ProviderPackageCode CITATION
AAYXX
PublicationCentury 2000
PublicationDate 2018-06-20
PublicationDateYYYYMMDD 2018-06-20
PublicationDate_xml – month: 06
  year: 2018
  text: 2018-06-20
  day: 20
PublicationDecade 2010
PublicationPlace London
PublicationPlace_xml – name: London
– name: England
PublicationTitle NPJ digital medicine
PublicationTitleAbbrev npj Digital Med
PublicationTitleAlternate NPJ Digit Med
PublicationYear 2018
Publisher Nature Publishing Group UK
Nature Publishing Group
Publisher_xml – name: Nature Publishing Group UK
– name: Nature Publishing Group
References Bietz, Bloss (CR9) 2016; 23
Dorsey (CR10) 2017; 92
Pfiffner, Pinyol, Natter, Mandl (CR13) 2016; 11
Wood, Bennett, Basch (CR19) 2015; 9
Chan (CR14) 2017; 35
Wright, Hall Brown, Collier, Sandberg (CR7) 2017; 312
CR18
CR17
Heintzman (CR4) 2016; 10
CR12
CR11
North, Chaudhry (CR15) 2016; 22
CR21
CR20
Powell, Landman, Bates (CR8) 2014; 311
Garabelli, Stavrakis., Po (CR2) 2017; 32
Garde, Dehkordi, Wensley, Ansermino, Dumont (CR6) 2015; 2015
Milani, Lavie, Bober, Milani, Ventura (CR3) 2017; 130
Kim (CR1) 2014; 20
Kumar, Goren, Stark, Wall, Longhurst (CR5) 2016; 23
Gay, Leijdekkers (CR16) 2015; 17
P Garabelli (30_CR2) 2017; 32
RB Kumar (30_CR5) 2016; 23
ER Dorsey (30_CR10) 2017; 92
MJ Bietz (30_CR9) 2016; 23
F North (30_CR15) 2016; 22
V Gay (30_CR16) 2015; 17
J Kim (30_CR1) 2014; 20
PB Pfiffner (30_CR13) 2016; 11
A Garde (30_CR6) 2015; 2015
YF Chan (30_CR14) 2017; 35
RV Milani (30_CR3) 2017; 130
WA Wood (30_CR19) 2015; 9
30_CR20
30_CR21
30_CR11
AC Powell (30_CR8) 2014; 311
30_CR12
30_CR17
30_CR18
SP Wright (30_CR7) 2017; 312
ND Heintzman (30_CR4) 2016; 10
References_xml – ident: CR21
– volume: 23
  start-page: 532
  year: 2016
  end-page: 537
  ident: CR5
  article-title: Automated integration of continuous glucose monitor data in the electronic health record using consumer technology
  publication-title: J. Am. Med. Inform. Assoc.
  doi: 10.1093/jamia/ocv206
– volume: 9
  start-page: 1018
  year: 2015
  end-page: 1024
  ident: CR19
  article-title: Emerging uses of patient generated health data in clinical research
  publication-title: Mol. Oncol.
  doi: 10.1016/j.molonc.2014.08.006
– ident: CR18
– volume: 312
  start-page: R358
  year: 2017
  end-page: R367
  ident: CR7
  article-title: How consumer physical activity monitors could transform human physiology research
  publication-title: Am. J. Physiol. Integr. Comp. Physiol.
  doi: 10.1152/ajpregu.00349.2016
– volume: 22
  start-page: 608
  year: 2016
  end-page: 613
  ident: CR15
  article-title: Apple HealthKit and Health app: patient uptake and barriers in primary care
  publication-title: Telemed. J. E Health
  doi: 10.1089/tmj.2015.0106
– volume: 130
  start-page: 14
  year: 2017
  end-page: 20
  ident: CR3
  article-title: Improving hypertension control and patient engagement using digital tools
  publication-title: Am. J. Med.
  doi: 10.1016/j.amjmed.2016.07.029
– volume: 17
  year: 2015
  ident: CR16
  article-title: Bringing health and fitness data together for connected health care: mobile apps as enablers of interoperability
  publication-title: J. Med. Internet Res.
  doi: 10.2196/jmir.5094
– ident: CR12
– ident: CR17
– volume: 32
  start-page: 53
  year: 2017
  end-page: 57
  ident: CR2
  article-title: Smartphone-based arrhythmia monitoring
  publication-title: Curr. Opin. Cardiol.
  doi: 10.1097/HCO.0000000000000350
– volume: 23
  start-page: e42
  year: 2016
  end-page: e48
  ident: CR9
  article-title: Opportunities and challenges in the use of personal health data for health research
  publication-title: J. Am. Med. Inform. Assoc.
  doi: 10.1093/jamia/ocv118
– volume: 11
  year: 2016
  ident: CR13
  article-title: C3-PRO: connecting ResearchKit to the Health System using i2b2 and FHIR
  publication-title: PLoS ONE
  doi: 10.1371/journal.pone.0152722
– ident: CR11
– volume: 92
  start-page: 157
  year: 2017
  end-page: 160
  ident: CR10
  article-title: The use of smartphones for health research
  publication-title: Acad. Med.
  doi: 10.1097/ACM.0000000000001205
– volume: 20
  start-page: 552
  year: 2014
  end-page: 558
  ident: CR1
  article-title: Analysis of health consumers’ behavior using self-tracker for activity, sleep, and diet
  publication-title: Telemed. J. E Health
  doi: 10.1089/tmj.2013.0282
– volume: 10
  start-page: 25
  year: 2016
  end-page: 41
  ident: CR4
  article-title: A digital ecosystem of diabetes data and technology
  publication-title: J. Diabetes Sci. Technol.
  doi: 10.1177/1932296815622453
– volume: 35
  start-page: 354
  year: 2017
  end-page: 362
  ident: CR14
  article-title: The asthma mobile health study, a large scale clinical study using ResearchKit
  publication-title: Nat. Biotech.
  doi: 10.1038/nbt.3826
– volume: 311
  start-page: 1851
  year: 2014
  end-page: 1852
  ident: CR8
  article-title: In search of a few good apps
  publication-title: JAMA
  doi: 10.1001/jama.2014.2564
– volume: 2015
  start-page: 7692
  year: 2015
  end-page: 7695
  ident: CR6
  article-title: Pulse oximetry recorded from the Phone Oximeter for detection of obstructive sleep apnea events with and without oxygen desaturation in children
  publication-title: Conf. Proc. IEEE Eng. Med Biol. Soc.
– ident: CR20
– volume: 23
  start-page: 532
  year: 2016
  ident: 30_CR5
  publication-title: J. Am. Med. Inform. Assoc.
  doi: 10.1093/jamia/ocv206
– volume: 9
  start-page: 1018
  year: 2015
  ident: 30_CR19
  publication-title: Mol. Oncol.
  doi: 10.1016/j.molonc.2014.08.006
– volume: 92
  start-page: 157
  year: 2017
  ident: 30_CR10
  publication-title: Acad. Med.
  doi: 10.1097/ACM.0000000000001205
– volume: 311
  start-page: 1851
  year: 2014
  ident: 30_CR8
  publication-title: JAMA
  doi: 10.1001/jama.2014.2564
– volume: 23
  start-page: e42
  year: 2016
  ident: 30_CR9
  publication-title: J. Am. Med. Inform. Assoc.
  doi: 10.1093/jamia/ocv118
– volume: 10
  start-page: 25
  year: 2016
  ident: 30_CR4
  publication-title: J. Diabetes Sci. Technol.
  doi: 10.1177/1932296815622453
– ident: 30_CR11
– ident: 30_CR12
– volume: 22
  start-page: 608
  year: 2016
  ident: 30_CR15
  publication-title: Telemed. J. E Health
  doi: 10.1089/tmj.2015.0106
– volume: 20
  start-page: 552
  year: 2014
  ident: 30_CR1
  publication-title: Telemed. J. E Health
  doi: 10.1089/tmj.2013.0282
– volume: 312
  start-page: R358
  year: 2017
  ident: 30_CR7
  publication-title: Am. J. Physiol. Integr. Comp. Physiol.
  doi: 10.1152/ajpregu.00349.2016
– volume: 2015
  start-page: 7692
  year: 2015
  ident: 30_CR6
  publication-title: Conf. Proc. IEEE Eng. Med Biol. Soc.
– volume: 35
  start-page: 354
  year: 2017
  ident: 30_CR14
  publication-title: Nat. Biotech.
  doi: 10.1038/nbt.3826
– volume: 17
  year: 2015
  ident: 30_CR16
  publication-title: J. Med. Internet Res.
  doi: 10.2196/jmir.5094
– ident: 30_CR21
– ident: 30_CR20
– ident: 30_CR17
– volume: 32
  start-page: 53
  year: 2017
  ident: 30_CR2
  publication-title: Curr. Opin. Cardiol.
  doi: 10.1097/HCO.0000000000000350
– ident: 30_CR18
– volume: 11
  year: 2016
  ident: 30_CR13
  publication-title: PLoS ONE
  doi: 10.1371/journal.pone.0152722
– volume: 130
  start-page: 14
  year: 2017
  ident: 30_CR3
  publication-title: Am. J. Med.
  doi: 10.1016/j.amjmed.2016.07.029
SSID ssj0002048946
Score 2.3276012
Snippet Patient-generated health data (PGHD), collected from mobile apps and devices, represents an opportunity for remote patient monitoring and timely interventions...
SourceID pubmedcentral
proquest
pubmed
crossref
springer
SourceType Open Access Repository
Aggregation Database
Index Database
Enrichment Source
Publisher
StartPage 23
SubjectTerms 631/114/2401
639/705/258
692/53/2423
Asthma
Biomedicine
Biotechnology
Case reports
Digital technology
Electronic health records
Health informatics
Inhalers
Medicine
Medicine & Public Health
Patients
Smartphones
Telemedicine
Web portals
SummonAdditionalLinks – databaseName: ProQuest Health & Medical Collection
  dbid: 7X7
  link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV1LSx0xFD5YhdKNaF-OWkmhq5bgTB6TxI1I8XIp2IVUuLthJpO0BZ1R7_X_e5LJjNxKXSchj_Ml-ZJz8gXgC2c1t44p6oSVVDSC01oXnErjpCiC5lgT3jtf_CznV-LHQi7ShdsyhVWOa2JcqNvehjvyY4Zg4aXODTu9vaPh16jgXU1faLyCrShdhnhWCzXdsQRRWiPK0ZnJ9fFSIAMPR2hNA7ypXt-OnnHM56GS__hL4zY024HtxB_J2WDwXdhw3Vt4fZE85O_gcnbf35DlDSIiRJ07surJ-fzyhNTE4oZFBh8B6TsyCkVgNSSpq9LfUYQaSSgZ3keSEED6Hq5m57--z2n6N4FaPI6sKC9r5ZlhrUZ-xFquCjSB93WuLBIM11jOPSuaRraF8tq5oqlFeJJrVN42HCnKB9jssIV7QEwtPRMlt1x6JFbWSGOE1wK3Pe9yqzPIx-GrbBIVD39bXFfRuc11NYx4hSMeZEjzCot8nYrcDooaL2U-HG1Spcm1rJ6gkMHnKRmnRfB11J3rHzAPk9h7pkuRwcfBhFNtWDoqnWWg1ow7ZQiS2-sp3d8_UXq7xAMdAi2DbyMMnpr1307sv9yJA3jDIiBLXLIOYXN1_-A-IdNZNUcRzo9REPmE
  priority: 102
  providerName: ProQuest
Title From smartphone to EHR: a case report on integrating patient-generated health data
URI https://link.springer.com/article/10.1038/s41746-018-0030-8
https://www.ncbi.nlm.nih.gov/pubmed/31304305
https://www.proquest.com/docview/2531368092
https://www.proquest.com/docview/2258152864
https://pubmed.ncbi.nlm.nih.gov/PMC6550195
Volume 1
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1ZaxsxEB5yQOlLSM84SY0KfWoR3dWtvCXGxgQSimnAb8uuLLWFZh1i5_9npD2CaxrIs2bQNZK-0Yw-AXzhrOTOM029cJKKSnBampxTab0UeeQcq-J756trNb0Rl3M534G8ewuTkvYTpWXaprvssO8rgdA5-r6GRrukZhf2Dbp10ahHatRfq0QeWitUF7_kZltz8wTagpXb2ZH_hEjTyTM5hIMWMpLzppFvYMfXb-HVVRsUfwezyf3ylqxusRcx0dyT9ZKMp7MzUhKHZxRpwgJkWZOOGwKrIS2hKv2VeKcRd5LmSSSJOaPv4WYy_jma0varBOrQA1lTrkodmGULg5CILbjOcdRDKDPtEFP4ynEeWF5VcpHrYLzPq1LEV7hWZ4uKIyr5AHs1tvAIiC1lYEJxx2VALOWstFYEI_CkCz5zZgBZN3yFa3nE43cWf4sUz-amaEa8wBGPzKNZgSpfe5W7hkTjOeHTbk6Kdj2tCoZbBVcms2wAn_tiXAkxvFHWfvmAMkxi75lRYgAfmynsa0PtRG42AL0xub1AZNneLKn__E5s2wp9uNyi5rfODJ6a9d9OHL9I-gRes2SfCjetU9hb3z_4T4h11tUQdvVcD2H_Ynz9YzZMtj5M9waPnkH6VA
linkProvider Springer Nature
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1ZT9wwEB7RRWp5QfRkgbau1L60skh8JDYSQj12tRR2Va1A4i1NHLutVBJgF1X9U_xGxrnQFpU3nmPH9hyescfzDcBbzlJuLIupFUZSkQlOUxVyKrWVIvSYY5nPdx5PotGx-HoiT5bgqs2F8c8q2z2x2qjz0vg78m2GwsIjFWi2d3ZOfdUoH11tS2jUYnFg__7BI9tsd_8L8vcdY8PB0ecRbaoKUIPO-pzyKI0d0yxX6D2wnMchTtC5NIgNml-bGc4dC7NM5mHslLVhlgqfsKrjIM84GnD87wNYFj6jtQfLnwaTb9PuVsfD4GoRteFTrrZnAn1-f2hX1CsUVYsG8JZXe_tx5j8R2srwDddgtfFYycdaxB7Dki2ewMNxE5N_CtPhRXlKZqcog_6duyXzkgxG0x2SEoMmktRRCVIWpIWmwGFIg-dKf1Sw1-j2kjojk_gnq8_g-F5o-hx6Bc5wHYhOpWMi4oZLhzQ2WmotnBJoaJ0NjOpD0JIvMQ2Mua-m8TupwulcJTXFE6S4Bz4NEuzyvutyVmN43NV4q-VJ0qjzLLkRvj686T6jIvroSlrY8hLbMImrZyoSfXhRs7AbDXtX2Gp9iBeY2zXwIN-LX4pfPyuw7wiPkKHGnh9aMbiZ1n8XsXH3Il7Do9HR-DA53J8cbMIKq4Qzwg1zC3rzi0v7Ev2sefaqEW4C3-9bn64BLfk3JA
linkToPdf http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3dTxQxEJ-ckFx8IYggJygl8UlS3e3Xtr4Z5HKKEHPhEt42u90WTWCPcMf_77T7Yc6LJjxvJ22n086vOzO_ArzjrODWsYw6YSUVpeC00Cmn0jgp0sA5VoZ654tLNZmJb9fyegCyq4WJSfuR0jIe01122MeFQOgc7r6aBruk-sN95Z_Bps4QcYcYrTrtf60ELlojVBfD5HpdetULrUHL9QzJv8Kk0fuMt2GrhY3kczPQFzBw9Q4ML9rA-EuYjh_md2RxhzMJyeaOLOfkbDL9RApi0U-RJjRA5jXp-CGwG9KSqtKbyD2N2JM0ZZEk5I3uwmx8dnU6oe1zCdTiLWRJuSoyzwyrNMIiVvEsRc17XySZRVzhSsu5Z2lZyirNvHYuLQsRKnFNllQlR2SyBxs1jnAfiCmkZ0Jxy6VHPGWNNEZ4LdDbeZdYPYKkU19uWy7x8KTFbR5j2lznjcZz1HhgH01yFHnfi9w3RBr_a3zYrUne7qlFzvC44Eonho3guP-MuyGEOIrazR-xDZM4e6aVGMGrZgn73lA6EpyNIFtZ3L5BYNpe_VL_-hkZtxXe41KDkiedGfwZ1j8n8fpJrY9g-OPLOP_-9fL8AJ6zaKoKz7BD2Fg-PLo3CH2W5dto6L8BpgL63w
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=From+smartphone+to+EHR%3A+a+case+report+on+integrating+patient-generated+health+data&rft.jtitle=NPJ+digital+medicine&rft.au=Genes%2C+Nicholas&rft.au=Violante%2C+Samantha&rft.au=Cetrangol%2C+Christine&rft.au=Rogers%2C+Linda&rft.date=2018-06-20&rft.pub=Nature+Publishing+Group+UK&rft.eissn=2398-6352&rft.volume=1&rft.issue=1&rft_id=info:doi/10.1038%2Fs41746-018-0030-8&rft.externalDocID=10_1038_s41746_018_0030_8
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2398-6352&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2398-6352&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2398-6352&client=summon