Search Articles

View query in Help articles search

Search Results (1 to 10 of 31 Results)

Download search results: CSV END BibTex RIS


Identifying Patient-Reported Care Experiences in Free-Text Survey Comments: Topic Modeling Study

Identifying Patient-Reported Care Experiences in Free-Text Survey Comments: Topic Modeling Study

At the time the study was conducted, AHS was the provider of inpatient health care in Alberta, a Canadian province with 4.7 million residents. AHS uses 2 surveys to assess patient experiences with inpatient care—the Canadian Patient Experiences Survey on Inpatient Care (CPES-IC) survey and the Alberta Pediatric Inpatient Experience Survey (APIES).

Brian Steele, Paul Fairie, Kyle Kemp, Adam G D'Souza, Matthias Wilms, Maria Jose Santana

JMIR Med Inform 2025;13:e63466

Nurses’ Perspectives and Experiences of Using a Bed-Exit Information System in an Acute Hospital Setting: Mixed Methods Study

Nurses’ Perspectives and Experiences of Using a Bed-Exit Information System in an Acute Hospital Setting: Mixed Methods Study

Responsive behaviors can lead to events that (1) disrupt acute inpatient care and can directly or indirectly endanger the affected patient or fellow patients and (2) are related to the unintentional (potential) leaving of the bed without supervision [21].

Stefan Walzer, Isabel Schön, Johanna Pfeil, Sam Klemm, Sven Ziegler, Claudia Schmoor, Christophe Kunze

JMIR Form Res 2025;9:e64444

Development, Implementation, and Evaluation Methods for Dashboards in Health Care: Scoping Review

Development, Implementation, and Evaluation Methods for Dashboards in Health Care: Scoping Review

One large academic medical center reported expending roughly 180,000 person-hours and US $5 million dollars to prepare and report 162 quality metrics on inpatient and emergency department performance in a single year [5]. Increasingly, business intelligence tools are used to reduce this burden by streamlining data aggregation and reporting to facilitate continuous monitoring and improvement of key metrics [6-8].

Danielle Helminski, Jeremy B Sussman, Paul N Pfeiffer, Alex N Kokaly, Allison Ranusch, Anjana Deep Renji, Laura J Damschroder, Zach Landis-Lewis, Jacob E Kurlander

JMIR Med Inform 2024;12:e59828

Using a Quality-Controlled Dataset From ViSi Mobile Monitoring for Analyzing Posture Patterns of Hospitalized Patients: Retrospective Observational Study

Using a Quality-Controlled Dataset From ViSi Mobile Monitoring for Analyzing Posture Patterns of Hospitalized Patients: Retrospective Observational Study

Overall, the study objectives were to (1) develop a data cleaning procedure for a large inpatient Vi Si posture monitoring dataset with a duration of 1 year, (2) consolidate posture codes into categories, (3) derive concise summary statistics from the continuous monitoring data, and (4) study types of patient posture habits using summary statistics of posture duration and transition frequency.

Emily J Huang, Yuexin Chen, Clancy J Clark

JMIR Mhealth Uhealth 2024;12:e54735

Co-Designing Remote Patient Monitoring Technologies for Inpatients: Systematic Review

Co-Designing Remote Patient Monitoring Technologies for Inpatients: Systematic Review

RPM technologies serve diverse purposes, from treating and observing acute conditions in the inpatient and care transition period to longer-term maintenance of chronic diseases in the outpatient setting. During inpatient care, RPM can enable continuous, real-time monitoring of patients, facilitating early detection of complications, and allowing for timely interventions [5,6,9-12].

Jennifer Sumner, Si Ying Tan, Yuchen Wang, Camille Hui Sze Keck, Eunice Wei Xin Lee, Emily Hwee Hoon Chew, Alexander Wenjun Yip

J Med Internet Res 2024;26:e58144

Case Identification of Depression in Inpatient Electronic Medical Records: Scoping Review

Case Identification of Depression in Inpatient Electronic Medical Records: Scoping Review

However, these are very different from inpatient EMR systems. For one, hospital inpatients are more likely to identify errors and omissions than patients in outpatient care or primary care [12]. EMR data have been used in research for psychiatric patients in various specific inpatient use cases, including assessing patient safety events in psychiatric inpatient units [13].

Allison Grothman, William J Ma, Kendra G Tickner, Elliot A Martin, Danielle A Southern, Hude Quan

JMIR Med Inform 2024;12:e49781

Factors Influencing Neuromuscular Blockade Reversal Choice in the United States Before and During the COVID-19 Pandemic: Retrospective Longitudinal Analysis

Factors Influencing Neuromuscular Blockade Reversal Choice in the United States Before and During the COVID-19 Pandemic: Retrospective Longitudinal Analysis

A retrospective analysis was conducted on US adult inpatient surgical procedures occurring between March 1, 2017, and December 31, 2021, within the PINC AI Healthcare Database (PHD) [28]. The PHD is a large, US hospital–based, service-level, all-payer database that contains information on inpatient discharges, primarily from geographically diverse nonprofit, nongovernmental, and community and teaching hospitals and health systems from rural and urban areas.

Vladimir Turzhitsky, Lori D Bash, Richard D Urman, Michael Kattan, Ira Hofer

JMIR Perioper Med 2024;7:e52278

Implementation of Inpatient Electronic Consultations During the COVID-19 Crisis and Its Sustainability Beyond the Pandemic: Quality Improvement Study

Implementation of Inpatient Electronic Consultations During the COVID-19 Crisis and Its Sustainability Beyond the Pandemic: Quality Improvement Study

Thus, regardless of whether an e-consult request was resolved electronically or converted to an in-person consult, e-consults significantly improved the turnaround times for inpatient consultations. The average volume of requests was 19 inpatient e-consults per month during the first 5 months that inpatient e-consults were live (Figure 4). Then, California experienced surges of COVID-19 cases throughout the pandemic and we saw corresponding increases in inpatient e-consults use.

Anna S Aledia, Amish A Dangodara, Aanya A Amin, Alpesh N Amin

J Med Internet Res 2024;26:e55623

Effectiveness of One Videoconference-Based Exposure and Response Prevention Session at Home in Adjunction to Inpatient Treatment in Persons With Obsessive-Compulsive Disorder: Nonrandomized Study

Effectiveness of One Videoconference-Based Exposure and Response Prevention Session at Home in Adjunction to Inpatient Treatment in Persons With Obsessive-Compulsive Disorder: Nonrandomized Study

As research on videoconference-based ERP is still limited, we examined treatment effects in patients who received inpatient treatment with an additional videoconference-based ERP at home compared with an age- and sex-matched group of patients who received inpatient treatment without an additional videoconference-based ERP at home. Second, we assessed patients’ views on the current intervention (ie, treatment expectancy and rationale credibility) before undergoing the videoconference-based ERP session.

Ulrich Voderholzer, Adrian Meule, Stefan Koch, Simone Pfeuffer, Anna-Lena Netter, Dirk Lehr, Eva Maria Zisler

JMIR Ment Health 2024;11:e52790