scholarly journals SOUTH DEVON & EAST CORNWALL HOSPITAL: OPERATIONS FROM JANUARY 1ST TO JULY 1ST, 1856

BMJ ◽  
1856 ◽  
Vol s3-4 (186) ◽  
pp. 622-622
Author(s):  
W. J. Square
Keyword(s):  
Hospital Operations

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

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.

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.

Hospital Disaster Response Using Business Impact Analysis

2014 ◽  
Vol 29 (6) ◽  
pp. 561-568 ◽  
Author(s):  
Hiroshi Suginaka ◽  
Ken Okamoto ◽  
Yohei Hirano ◽  
Yuichi Fukumoto ◽  
Miki Morikawa ◽  
...  
Keyword(s):  
Water Supply ◽  
Water Consumption ◽  
Disaster Response ◽  
Impact Analysis ◽  
Publication Type ◽  
Business Impact ◽  
Hospital Operations ◽  
Major Disaster ◽  
Actual Use ◽  
The Impact

AbstractIntroductionThe catastrophic Great East Japan Earthquake in 2011 created a crisis in a university-affiliated hospital by disrupting the water supply for 10 days. In response, this study was conducted to analyze water use and prioritize water consumption in each department of the hospital by applying a business impact analysis (BIA). Identifying the minimum amount of water necessary for continuing operations during a disaster was an additional goal.ProblemWater is essential for many hospital operations and disaster-ready policies must be in place for the safety and continued care of patients.MethodsA team of doctors, nurses, and office workers in the hospital devised a BIA questionnaire to examine all operations using water. The questionnaire included department name, operation name, suggested substitutes for water, and the estimated daily amount of water consumption. Operations were placed in one of three ranks (S, A, or B) depending on the impact on patients and the need for operational continuity. Recovery time objective (RTO), which is equivalent to the maximum tolerable period of disruption, was determined. Furthermore, the actual use of water and the efficiency of substitute methods, practiced during the water-disrupted periods, were verified in each operation.ResultsThere were 24 activities using water in eight departments, and the estimated water consumption in the hospital was 326 (SD = 17) m3per day: 64 (SD = 3) m3for S (20%), 167 (SD = 8) m3for A (51%), and 95 (SD = 5) m3for B operations (29%). During the disruption, the hospital had about 520 m3of available water. When the RTO was set to four days, the amount of water available would have been 130 m3per day. During the crisis, 81% of the substitute methods were used for the S and A operations.ConclusionThis is the first study to identify and prioritize hospital operations necessary for the efficient continuation of medical treatment during suspension of the water supply by applying a BIA. Understanding the priority of operations and the minimum daily water requirement for each operation is important for a hospital in the event of an unexpected adverse situation, such as a major disaster.SuginakaH,OkamotoK,HiranoY,FukumotoY,MorikawaM,OodeY,SumiY,InoueY,MatsudaS,TanakaH.Hospital disaster response using business impact analysis.Prehosp Disaster Med.2014;29(5):1-8.

The Full-Scale Pacs Archive

1996 ◽  
Vol 37 (3P2) ◽  
pp. 838-846 ◽  
Author(s):  
S. A. Nissen-Meyer ◽  
U. Fink ◽  
M. Pleier ◽  
C. Becker
Keyword(s):  
Digital Image ◽  
Conventional Radiography ◽  
Full Scale ◽  
Model Calculations ◽  
Analog To Digital ◽  
Alternative Technologies ◽  
Transition Strategy ◽  
Hospital Operations ◽  
Picture Archiving And Communication ◽  
Image Archives

Purpose: Increasing percentages of digital modalities in radiology, in particular of digital image acquisition in conventional radiography, call for digital reporting, communication, and archiving techniques. These techniques are prerequisites for the “filmless” hospital. The first 2 have been covered extensively in the literature and by vendors. However, as regards online digital image archives there are still no satisfactory concepts available in the medical field. The present paper puts forward some suggestions as to how this situation could be improved. Material and Methods: Analyses of radiology operations consider the prevailing PACS (picture archiving and communication system) archive concepts that use optical discs to be too small, too slow and too cumbersome to manage and therefore unable to function as comprehensive image archives for filmless hospitals. We suggest borrowing and adapting the well tested archive technologies from space research and the oil and broadcasting industries which have much higher capacities and speeds and better software interfacing possibilities. With such technologies the needs of filmless hospital operations can be met. Results: A feasible concept for a transition strategy from conventional analog to digital archives is presented. Model calculations of the necessary investments and potential savings, including generous placement of viewing stations in the entire hospital, indicate amortization periods of 3.8–4.8 years. Conclusion: Alternative technologies for digital image archives already today make full-scale PACS for filmless hospitals technologically and conceptually feasible and financially mandatory.

Impact of Facility Damages on Hospital Capacities for Decision Support in Disaster Response Planning for an Earthquake

2009 ◽  
Vol 24 (4) ◽  
pp. 333-341 ◽  
Author(s):  
Jomon Aliyas Paul ◽  
Li Lin
Keyword(s):  
Disaster Response ◽  
Waiting Times ◽  
Parametric Models ◽  
Emergency Relief ◽  
Response Planning ◽  
Hospital Operations ◽  
Emergency Assistance ◽  
Life Saving ◽  
Inaccurate Estimation ◽  
The Impact

AbstractHospitals provide life-saving functions and emergency assistance to communities when disaster strikes. Any damage to hospitals from a disaster, either structural and non-structural, can impair these capabilities. In addition, an inaccurate estimation of the treatment capacities available at hospitals in a disaster-affected region can severely affect the success of emergency relief plans. In this paper, the impact of facility damage on hospital operations is estimated using a generic simulation model. From the simulation results, parametric models are developed for estimating hospitals' capacities and patient waiting times that could be used by emergency response teams in making casualty dispatching/routing decisions.

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