scholarly journals Deployment of Electronic Paper Displays in Hospital Operations: Proposal for Hospital Implementation (Preprint)

10.2196/30862 ◽  
2021 ◽  
Author(s):  
Guruprasad D. Jambaulikar ◽  
Andrew Marshall ◽  
Mohammad Adrian Hasdianda ◽  
Chenzhe Cao ◽  
Paul C. Chen ◽  
...  
Keyword(s):  
Hospital Operations ◽  
Electronic Paper

scholarly journals Improving hospital operations management to reduce ineffective medical appointments

2021 ◽  
Vol 8 (1) ◽  
pp. 1904806
Author(s):  
Leandro Barretiri ◽  
Bruno S. Gonçalves ◽  
Rui M. Lima ◽  
José Dinis-Carvalho
Keyword(s):  
Operations Management ◽  
Hospital Operations

67‐3: Invited Paper: Progress in Electronic Paper Displays: Color Video Electrofluidic Display Technology

2021 ◽  
Vol 52 (1) ◽  
pp. 1002-1005
Author(s):  
Hailing Sun ◽  
Biao Tang ◽  
Hongwei Jiang ◽  
Jan Groenewold ◽  
Alex Henzen ◽  
...  
Keyword(s):  
Display Technology ◽  
Color Video ◽  
Electronic Paper

scholarly journals Multicentre methodological study to create a publicly available score of hospital financial standing in the USA

BMJ Open ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. e046500
Author(s):  
Radoslav Zinoviev ◽  
Harlan M Krumholz ◽  
Richard Ciccarone ◽  
Rick Antle ◽  
Howard P Forman
Keyword(s):  
Gold Standard ◽  
Financial Stability ◽  
Credit Rating ◽  
Financial Data ◽  
Composite Score ◽  
Methodological Study ◽  
Bond Ratings ◽  
Hospital Operations ◽  
Initial Dataset ◽  
The Usa

ObjectivesTo create a straightforward scoring procedure based on widely available, inexpensive financial data that provides an assessment of the financial health of a hospital.DesignMethodological study.SettingMulticentre study.ParticipantsAll hospitals and health systems reporting the required financial metrics in the USA in 2017 were included for a total of 1075 participants.InterventionsWe examined a list of 232 hospital financial indicators and used existing models and financial literature to select 30 metrics that sufficiently describe hospital operations. In a set of hospital financial data from 2017, we used principal coordinate analysis to assess collinearity among variables and eliminated redundant variables. We isolated 10 unique variables, each assigned a weight equal to the share of its coefficient in a regression onto Moody’s Credit Rating, our predefined gold standard. The sum of weighted variables is a single composite score named the Yale Hospital Financial Score (YHFS).Primary outcome measuresAbility to reproduce both financial trends from a ‘gold-standard’ metric and known associations with non-fiscal data.ResultsThe validity of the YHFS was evaluated by: (1) cross-validating it with previously excluded data; (2) comparing it to existing models and (3) replicating known associations with non-fiscal data. Ten per cent of the initial dataset had been reserved for validation and was not used in creating the model; the YHFS predicts 96.7% of the variation in this reserved sample, demonstrating reproducibility. The YHFS predicts 90.5% and 88.8% of the variation in Moody’s and Standard and Poor’s bond ratings, respectively, supporting its validity. As expected, larger hospitals had higher YHFS scores whereas a greater share of Medicare discharges correlated with lower YHFS scores.ConclusionsWe created a reliable and publicly available composite score of hospital financial stability.

Development of a rectenna for batteryless electronic paper

2013 ◽  
Author(s):  
Shoichiro Tsukamoto ◽  
Naoto Iizasa ◽  
Kuniaki Yoshitomi ◽  
Ramesh Pokharel ◽  
Keiji Yoshida ◽  
...  
Keyword(s):  
Electronic Paper

scholarly journals Continuing Patient Care during Electronic Health Record Downtime

2019 ◽  
Vol 10 (03) ◽  
pp. 495-504
Author(s):  
Ethan Larsen ◽  
Daniel Hoffman ◽  
Carlos Rivera ◽  
Brian M. Kleiner ◽  
Christian Wernz ◽  
...  
Keyword(s):  
Quantitative Analysis ◽  
Electronic Health Record ◽  
Clinical Laboratory ◽  
Normal Operation ◽  
Contingency Planning ◽  
Health Record ◽  
Safety Assurance ◽  
Hospital Operations ◽  
Recorded Data ◽  
Electronic Health

Introduction Electronic health record (EHR) downtime is any period during which the EHR system is fully or partially unavailable. These periods are operationally disruptive and pose risks to patients. EHR downtime has not sufficiently been studied in the literature, and most hospitals are not adequately prepared. Objective The objective of this study was to assess the operational implications of downtime with a focus on the clinical laboratory, and to derive recommendations for improved downtime contingency planning. Methods A hybrid qualitative–quantitative study based on historic performance data and semistructured interviews was performed at two mid-Atlantic hospitals. In the quantitative analysis, paper records from downtime events were analyzed and compared with normal operations. To enrich this quantitative analysis, interviews were conducted with 17 hospital employees, who had experienced several downtime events, including a hospital-wide EHR shutdown. Results During downtime, laboratory testing results were delayed by an average of 62% compared with normal operation. However, the archival data were incomplete due to inconsistencies in the downtime paper records. The qualitative interview data confirmed that delays in laboratory result reporting are significant, and further uncovered that the delays are often due to improper procedural execution, and incomplete or incorrect documentation. Interviewees provided a variety of perspectives on the operational implications of downtime, and how to best address them. Based on these insights, recommendations for improved downtime contingency planning were derived, which provide a foundation to enhance Safety Assurance Factors for EHR Resilience guides. Conclusion This study documents the extent to which downtime events are disruptive to hospital operations. It further highlights the challenge of quantitatively assessing the implication of downtimes events, due to a lack of otherwise EHR-recorded data. Organizations that seek to improve and evaluate their downtime contingency plans need to find more effective methods to collect data during these times.

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