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Standardizing Postpartum Discharge Instructions With an Educational Video: A Quality Improvement Project

Standardizing Postpartum Discharge Instructions With an Educational Video: A Quality Improvement Project

Ste 345Lansing, MI, 48912United States269 870 5969jenhoffman73@gmail.comBurkeLoriMD1KayCherylBSN, RN1HlavatyRachelBA1Thompson-WoodJenniferAPRN-BC, MSN1O'DellDanyelleMD11Sparrow HospitalObstetrics and GynecologyLansing, MIUnited StatesCorresponding Author: Jennifer

Jennifer Hoffman, Lori Burke, Cheryl Kay, Rachel Hlavaty, Jennifer Thompson-Wood, Danyelle O'Dell

iproc 2019;5(1):e15245


Global Research on Coronaviruses: An R Package

Global Research on Coronaviruses: An R Package

The package follows the methodology put in place by the Allen Institute and its partners [6] to create the CORD-19 data set with some differences.

Thierry Warin

J Med Internet Res 2020;22(8):e19615


Prospective Real-World Performance Evaluation of a Machine Learning Algorithm to Predict 30-Day Readmissions in Patients with Heart Failure Using Electronic Medical Record Data

Prospective Real-World Performance Evaluation of a Machine Learning Algorithm to Predict 30-Day Readmissions in Patients with Heart Failure Using Electronic Medical Record Data

GroupHitachi, LtdTokyoJapan5Big Data LaboratoryHitachi America LtdSanta Clara, CAUnited StatesCorresponding Author: Neda Derakhshani snderakhshani@partners.orgJul-Dec20181709201842e118979820182982018©Sujay S Kakarmath, Neda Derakhshani, Sara B Golas, Jennifer

Sujay S Kakarmath, Neda Derakhshani, Sara B. Golas, Jennifer Felsted, Takuma Shibahara, Hideo Aoki, Mika Takata, Ken Naono, Joseph Kvedar, Kamal Jethwani, Stephen Agboola

iproc 2018;4(2):e11897


Integration and Adoption Analysis of Digital Health Monitoring Devices: Reflections of a Pilot Project

Integration and Adoption Analysis of Digital Health Monitoring Devices: Reflections of a Pilot Project

Mount SinaiNew York, NYUnited StatesCorresponding Author: Christopher Park chris.park@icahn.mssm.eduJul-Dec20181709201842e118102820182982018©Christopher Park, Emmamuzo Otobo, Jason Rogers, Farah Fasihuddin, Shashank Garg, Sarthak Kakkar, Sean Pinney, Jennifer

Christopher Park, Emmamuzo Otobo, Jason Rogers, Farah Fasihuddin, Shashank Garg, Sarthak Kakkar, Sean Pinney, Jennifer Ullman, Chloe Yang, Zahin Roja, Kritika Singh, Vinod Kumar, Divya Madisetty, Ashish Atreja

iproc 2018;4(2):e11810


Value and Acceptability of a Novel Machine Learning Technology for Heart Failure Readmission Reduction: Qualitative Analysis of Clinical Roles and Workflows

Value and Acceptability of a Novel Machine Learning Technology for Heart Failure Readmission Reduction: Qualitative Analysis of Clinical Roles and Workflows

States2Massachusetts General HospitalBoston, MAUnited States3Harvard Medical SchoolBoston, MAUnited StatesCorresponding Author: Sunetra Bane sunetrabane@gmail.comJul-Dec20181709201842e118959820182982018©Simone Orlowski, Sunetra Bane, Jaclyn Hirschey, Sujay Kakarmath, Jennifer

Simone Orlowski, Sunetra Bane, Jaclyn Hirschey, Sujay Kakarmath, Jennifer Felsted, Julie Brown, Stephen Agboola, Kamal Jethwani

iproc 2018;4(2):e11895


Digital Self-Management Interventions for People With Osteoarthritis: Systematic Review With Meta-Analysis

Digital Self-Management Interventions for People With Osteoarthritis: Systematic Review With Meta-Analysis

PP)Attrition at postintervention, n (%)ExperimentControlExperimentControlExperimentControlAllen et al (2010) [76]United States172 (33.3)171 (33.1)Self-managementTAUcAIMS2d: pain (P; 5.9 [2.3]); AIMS2: function (S; 2.6 [1.7])N/Ae52; ITTNRf26 (15.1)14 (8.1)Allen

Reza Safari, Jessica Jackson, David Sheffield

J Med Internet Res 2020;22(7):e15365


Behavioral Functionality of Mobile Apps in Health Interventions: A Systematic Review of the Literature

Behavioral Functionality of Mobile Apps in Health Interventions: A Systematic Review of the Literature

high user acceptability and feasibility of using smartphone apps for behavior change interventions, except Gajecki et al [24] and Matilla et al [31] who reported average and low-to-moderate acceptability, respectively.Of the diet and physical activity apps, Allen

Hannah E Payne, Cameron Lister, Joshua H West, Jay M Bernhardt

JMIR Mhealth Uhealth 2015;3(1):e20


Provider and Patient-Related Barriers to and Facilitators of Digital Health Adoption for Hypertension Management: Review

Provider and Patient-Related Barriers to and Facilitators of Digital Health Adoption for Hypertension Management: Review

SchoolBoston, MAUnited States3American Medical AssociationChicago, MAUnited StatesCorresponding Author: Ramya Palacholla RPALACHOLLA@MGH.HARVARD.EDUJul-Dec20181709201842e119049820182982018©Ramya Palacholla, Nils Fischer, Amanda Coleman, Stephen Agboola, Jennifer

Ramya Palacholla, Nils Fischer, Amanda Coleman, Stephen Agboola, Jennifer Felsted, Kate Kirley, Chelsea Katz, Stacy Lloyd, Kamal Jethwani

iproc 2018;4(2):e11904


Temporal Design Patterns for Digital Phenotype Cohort Selection in Critical Care: Systematic Literature Assessment and Qualitative Synthesis

Temporal Design Patterns for Digital Phenotype Cohort Selection in Critical Care: Systematic Literature Assessment and Qualitative Synthesis

count the number of additional instants (chest x-rays) occurring within the interval.Temporal and Atemporal RelationsWe explored the temporal relations between instants and intervals and, as expected, all of them conformed to the temporal logic described by Allen

Daniel Capurro, Mario Barbe, Claudio Daza, Josefa Santa Maria, Javier Trincado

JMIR Med Inform 2020;8(11):e6924