Utilization of lean project management principles and health informatics to reduce operating room delays in a vascular surgery practice.

OBJECTIVES: Perioperative inefficiency can increase cost. We describe a process improvement initiative that addressed preoperative delays on an academic vascular surgery service. METHODS: First case vascular surgeries from July 2019-January 2020 were retrospectively reviewed for delays, defined as late arrival to the operating room (OR). A stakeholder group spearheaded by a surgeon-informaticist analyzed this process and implemented a novel electronic medical records (EMR) preoperative tool with improved preoperative workflow and role delegation; results were reviewed for 3 months after implementation. RESULTS: 57% of cases had first case on-time starts with average delay of 19 min. Inappropriate preoperative orders were identified as a dominant delay source (average delay = 38 min). Three months post-implementation, 53% of first cases had on-time starts with average delay of 11 min (P < 0.05). No delays were due to missing orders. CONCLUSIONS: Inconsistent preoperative workflows led to inappropriate orders and delays, increasing cost and decreasing quality. A novel EMR tool subsequently reduced delays with projected savings of $1,200/case. Workflow standardization utilizing informatics can increase efficiency, raising the value of surgical care.

Effects of COVID-19 on maritime industry: a review.

COVID-19 is a global disease that has quickly shaken the world economy since the beginning of 2020 and consequently has significantly affected the shipping industries development (including shipping operators, port operators, government authorities, shippers, seafarers, passengers, supply chain operators, etc.). Currently, the clinical management of COVID-19 remains unclear. In order to understand the newest challenges and figure out potential solutions for the maritime industries post COVID-19, this paper selected four shipping industries (including dry bulk, tanker, container, and cruiser sector) and reviewed these industries' newest development. The research findings can strengthen the awareness of COVID-19 and reduce operational risk and further improve business performance for the maritime related industries and authorities.

Scientists in pyjamas: characterising the working arrangements and productivity of Australian medical researchers during the COVID-19 pandemic.

OBJECTIVE: To characterise the working arrangements of medical research scientists and support staff in Australia during the COVID-19 pandemic, and to evaluate factors (in particular: wearing pyjamas) that influence the self-assessed productivity and mental health of medical institute staff working from home. DESIGN: Prospective cohort survey study, 30 April - 18 May 2020. SETTING, PARTICIPANTS: Staff (scientists and non-scientists) and students at five medical research institutes in Sydney, New South Wales. MAIN OUTCOME MEASURES: Self-assessed overall and task-specific productivity, and mental health. RESULTS: The proportions of non-scientists and scientists who wore pyjamas during the day were similar (3% v 11%; P = 0.31). Wearing pyjamas was not associated with differences in self-evaluated productivity, but was significantly associated with more frequent reporting of poorer mental health than non-pyjama wearers while working from home (59% v 26%; P < 0.001). Having children in the home were significantly associated with changes in productivity. Larger proportions of people with toddlers reported reduced overall productivity (63% v 32%; P = 0.008), and reduced productivity in writing manuscripts (50% v 17%; P = 0.023) and data analysis (63% v 23%; P = 0.002). People with primary school children more frequently reported reduced productivity in writing manuscripts (42% v 16%; P = 0.026) and generating new ideas (43% v 19%; P = 0.030). On a positive note, the presence of children in the home was not associated with changes in mental health during the pandemic. In contrast to established researchers, early career researchers frequently reported reduced productivity while working at home. CONCLUSIONS: Our findings are probably applicable to scientists in other countries. They may help improve work-from-home policies by removing the stigma associated with pyjama wearing during work and by providing support for working parents and early career researchers.

Can machine learning optimize the efficiency of the operating room in the era of COVID-19?

SUMMARY: The cancellation of large numbers of surgical procedures because of the coronavirus disease 2019 (COVID-19) pandemic has drastically extended wait lists and negatively affected patient care and experience. As many facilities resume clinical work owing to the currently low burden of disease in our community, we are faced with operative booking protocols and procedures that are not mathematically designed to optimize efficiency. Using a subset of artificial intelligence called "machine learning," we have shown how the use of operating time can be optimized with a custom Python (a high-level programming language) script and an open source machine-learning algorithm, the ORTools software suite from the Google AI division of Alphabet Inc. This allowed the creation of customized models to optimize the efficiency of operating room booking times, which resulted in a reduction in nursing overtime of 21% - a theoretical cost savings of $469 000 over 3 years.

A DEA-Based Complexity of Needs Approach for Hospital Beds Evacuation during the COVID-19 Outbreak.

Data envelopment analysis (DEA) is a powerful nonparametric engineering tool for estimating technical efficiency and production capacity of service units. Assuming an equally proportional change in the output/input ratio, we can estimate how many additional medical resource health service units would be required if the number of hospitalizations was expected to increase during an epidemic outbreak. This assessment proposes a two-step methodology for hospital beds vacancy and reallocation during the COVID-19 pandemic. The framework determines the production capacity of hospitals through data envelopment analysis and incorporates the complexity of needs in two categories for the reallocation of beds throughout the medical specialties. As a result, we have a set of inefficient healthcare units presenting less complex bed slacks to be reduced, that is, to be allocated for patients presenting with more severe conditions. The first results in this work, in collaboration with state and municipal administrations in Brazil, report 3772 beds feasible to be evacuated by 64% of the analyzed health units, of which more than 82% are moderate complexity evacuations. The proposed assessment and methodology can provide a direction for governments and policymakers to develop strategies based on a robust quantitative production capacity measure.

Improving public hospital efficiency and fiscal space implications: the case of Mauritius.

BACKGROUND: General Government Health Expenditure (GGHE) in Mauritius accounted for only 10% of General Government Expenditure for the fiscal year 2018. This is less than the pledge taken under the Abuja 2001 Declaration to allocate at least 15% of national budget to the health sector. The latest National Health Accounts also urged for an expansion in the fiscal space for health. As public hospitals in Mauritius absorb 70% of GGHE, maximising returns of hospitals is essential to achieve Universal Health Coverage. More so, as Mauritius is bracing for its worst recession in 40 years in the aftermath of the COVID-19 pandemic public health financing will be heavily impacted. A thorough assessment of hospital efficiency and its implications on effective public health financing and fiscal space creation is, therefore, vital to inform ongoing health reform agenda. OBJECTIVES: This paper aims to examine the trend in hospital technical efficiency over the period 2001-2017, to measure the elasticity of hospital output to changes in inputs variables and to assess the impact of improved hospital technical efficiency in terms of fiscal space creation. METHODS: Annual health statistics released by the Ministry of Health and Wellness and national budget of the Ministry of Finance, Economic Planning and Development were the principal sources of data. Applying Stochastic Frontier Analysis, technical efficiency of public regional hospitals was estimated under Cobb-Douglas, Translog and Multi-output distance functions, using STATA 11. Hospital beds, doctors, nurses and non-medical staff were used as input variables. Output variable combined inpatients and outpatients seen at Accident Emergency, Sorted and Unsorted departments. Efficiency scores were used to determine potential efficiency savings and fiscal space creation. FINDINGS: Mean technical efficiency scores, using the Cobb Douglas, Translog and Multi-output functions, were estimated at 0.83, 0.84 and 0.89, respectively. Nurses and beds are the most important factors in hospital production, as a 1% increase in the number of beds and nurses, result in an increase in hospital outputs by 0.73 and 0.51%, respectively. If hospitals are to increase their inputs by 1%, their outputs will increase by 1.16%. Hospital output process has an increasing return to scale. With technical efficiencies improving to scores of 0.95 and 1.0 in 2021-2022, potential savings and fiscal space creation at hospital level, would amount to MUR 633 million (US$ 16.2 million) and MUR 1161 million (US$ 29.6 million), respectively. CONCLUSION: Fiscal space creation through full technical efficiency, is estimated to represent 8.9 and 9.2% of GGHE in fiscal year 2021-2022 and 2022-2023, respectively. This will allow without any restrictions the funding of the national response for HIV, vaccine preventable diseases as well as building a resilient health system to mitigate impact of emerging infectious diseases as experienced with COVID-19.

Description of the effect of patient flow, junior doctor supervision and pandemic preparation on the ability of emergency physicians to provide direct patient care.

Objective A pilot study to: (1) describe the ability of emergency physicians to provide primary consults at an Australian, major metropolitan, adult emergency department (ED) during the COVID-19 pandemic when compared with historical performance; and (2) to identify the effect of system and process factors on productivity. Methods A retrospective cross-sectional description of shifts worked between 1 and 29 February 2020, while physicians were carrying out their usual supervision, flow and problem-solving duties, as well as undertaking additional COVID-19 preparation, was documented. Effect of supervisory load, years of Australian registration and departmental flow factors were evaluated. Descriptive statistical methods were used and regression analyses were performed. Results A total of 188 shifts were analysed. Productivity was 4.07 patients per 9.5-h shift (95% CI 3.56-4.58) or 0.43 patients per h, representing a 48.5% reduction from previously published data (P<0.0001). Working in a shift outside of the resuscitation area or working a day shift was associated with a reduction in individual patient load. There was a 2.2% (95% CI: 1.1-3.4, P<0.001) decrease in productivity with each year after obtaining Australian medical registration. There was a 10.6% (95% CI: 5.4-15.6, P<0.001) decrease in productivity for each junior physician supervised. Bed access had no statistically significant effect on productivity. Conclusions Emergency physicians undertake multiple duties. Their ability to manage their own patients varies depending on multiple ED operational factors, particularly their supervisory load. COVID-19 preparations reduced their ability to see their own patients by half. What is known about the topic? An understanding of emergency physician productivity is essential in planning clinical operations. Medical productivity, however, is challenging to define, and is controversial to measure. Although baseline data exist, few studies examine the effect of patient flow and supervision requirements on the emergency physician's ability to perform primary consults. No studies describe these metrics during COVID-19. What does this paper add? This pilot study provides a novel cross-sectional description of the effect of COVID-19 preparations on the ability of emergency physicians to provide direct patient care. It also examines the effect of selected system and process factors in a physician's ability to complete primary consults. What are the implications for practitioners? When managing an emergency medical workforce, the contribution of emergency physicians to the number of patients requiring consults should take into account the high volume of alternative duties required. Increasing alternative duties can decrease primary provider tasks that can be completed. COVID-19 pandemic preparation has significantly reduced the ability of emergency physicians to manage their own patients.