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Maximizing Potentially Avoidable Hospitalizations and Cost Savings Beyond Targeting the Most Costly Patients

Maximizing Potentially Avoidable Hospitalizations and Cost Savings Beyond Targeting the Most Costly Patients

Partners HealthcareBoston, MAUnited States3Philips LifelineFramingham, MAUnited StatesCorresponding Author: Mariana Simons mariana.simons@philips.comJul-Dec20181709201842e1173130720182982018©Mariana Simons, Sara Golas, Stephen Agboola, Jorn op den Buijs, Jennifer

Mariana Simons, Sara Golas, Stephen Agboola, Jorn op den Buijs, Jennifer Felsted, Nils Fischer, Allison Orenstein

iproc 2018;4(2):e11731


Effects of Mobile Health App Interventions on Sedentary Time, Physical Activity, and Fitness in Older Adults: Systematic Review and Meta-Analysis

Effects of Mobile Health App Interventions on Sedentary Time, Physical Activity, and Fitness in Older Adults: Systematic Review and Meta-Analysis

Search terms were classified under 3 main headings: age (aged, elderly, old, and senior), intervention (application, M-health, “mobile health”, and e-health), and outcome (sedentary, sitting, physical activity, steps, VO2 max, exercise, fitness, and functional

Dharani Yerrakalva, Dhrupadh Yerrakalva, Samantha Hajna, Simon Griffin

J Med Internet Res 2019;21(11):e14343


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


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


Text Mining and Natural Language Processing Approaches for Automatic Categorization of Lay Requests to Web-Based Expert Forums

Text Mining and Natural Language Processing Approaches for Automatic Categorization of Lay Requests to Web-Based Expert Forums

From these requests, we selected a random sample of 988 and classified them manually to provide a sound basis for training and evaluation.Manual ClassificationSimilar to Shuyler and Knight [20], who analyzed questions to an orthopedic website in several dimensions

Wolfgang Himmel, Ulrich Reincke, Hans Wilhelm Michelmann

J Med Internet Res 2009;11(3):e25


A Serious Video Game to Increase Fruit and Vegetable Consumption Among Elementary Aged Youth (Squire’s Quest! II):  Rationale, Design, and Methods

A Serious Video Game to Increase Fruit and Vegetable Consumption Among Elementary Aged Youth (Squire’s Quest! II): Rationale, Design, and Methods

A Squire…like you.QuestTo become a knight, the Squire had to acquire the coveted knowledge and skills of the Fivealot Knights. This is where the game began. In the quest for knighthood, the Squire had to overcome challenges.

Debbe Thompson, Riddhi Bhatt, Melanie Lazarus, Karen Cullen, Janice Baranowski, Tom Baranowski

JMIR Res Protoc 2012;1(2):e19


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