Erratum: A differential process mining analysis of COVID-19 management for cancer patients.

[This corrects the article DOI: 10.3389/fonc.2022.1043675.].

Use of Clinical Pathways Integrated into the Electronic Health Record to Address the COVID-19 Pandemic.

BACKGROUND: The COVID-19 pandemic has required healthcare systems to meet new demands for rapid information dissemination, resource allocation, and data reporting. To help address these challenges, our institution leveraged electronic health record (EHR)-integrated Clinical Pathways (E-ICPs), easily-understood care algorithms accessible at the point-of-care. OBJECTIVE: To describe the institution's creation of E-ICPs to address the COVID-19 pandemic, and to assess the use and impact of these tools. SETTING: Urban academic medical center with adult and pediatric hospitals, emergency departments, and ambulatory practices. METHODS: Using the E-ICP processes and infrastructure established at our institution as a foundation, we developed a suite of COVID-19 specific E-ICPs along with a process for frequent re-assessment and updating. We examined the development and use of our COVID-19 specific pathways for a six-month period (March 1 to September 1, 2020), and describe their impact using case studies. RESULTS: Forty-five COVID-19 specific pathways were developed, pertaining to triage, diagnosis, and management of COVID-19 in diverse patient settings. Orders available in E-ICPs included those for isolation precautions, testing, treatments, admissions and transfers. Pathways were accessed 86,400 times, with 99,081 individual orders placed. Case studies describe the impact of COVID-19 E-ICPs on stewardship of resources, testing optimization, and data reporting. CONCLUSION: E-ICPs provide a flexible and unified mechanism to meet the evolving demands of the COVID-19 pandemic, and continue to be a critical tool leveraged by clinicians and hospital administrators alike for the management of COVID-19. Lessons learned may be generalizable to other urgent and non-urgent clinical conditions.

Evaluation of a fast-and-frugal clinical decision algorithm ('pathways') on clinical outcomes in hospitalised patients with COVID-19 treated with anticoagulants.

RATIONALE, AIMS AND OBJECTIVES: Critics have charged that evidence-based medicine (EBM) overemphasises algorithmic rules over unstructured clinical experience and intuition, but the role of structured decision support systems in improving health outcomes remains uncertain. We aim to assess if delivery of anticoagulant prophylaxis in hospitalised patients with COVID-19 according to an algorithm based on evidence-based clinical practice guideline (CPG) improved clinical outcomes compared with administration of anticoagulant treatment given at individual practitioners' discretion. METHODS: An observational design consisting of the analysis of all acutely ill, consecutive patients (n = 1783) with confirmed COVID-19 diagnosis admitted between 10 March 2020 to 11 January 2022 to an US academic center. American Society of Haematology CPG for anticoagulant prophylaxis in hospitalised patients with COVID-19 was converted into a clinical pathway and translated into fast-and-frugal decision (FFT) tree ('algorithm'). We compared delivery of anticoagulant prophylaxis in hospitalised patients with COVID-19 according to the FFT algorithm with administration of anticoagulant treatment given at individual practitioners' discretion. RESULTS: In an adjusted analysis, using combination of Lasso (least absolute shrinkage and selection operator) and propensity score based weighting [augmented inverse-probability weighting] statistical techniques controlling for cluster data, the algorithm did not reduce death, venous thromboembolism, or major bleeding, but helped avoid longer hospital stay [number of patients needed to be treated (NNT) = 40 (95% CI: 23-143), indicating that for every 40 patients (23-143) managed on FFT algorithm, one avoided staying in hospital longer than 10 days] and averted admission to intensive-care unit (ICU) [NNT = 19 (95% CI: 13-40)]. All model's selected covariates were well balanced. The results remained robust to sensitivity analyses used to test the stability of the findings. CONCLUSIONS: When delivered using a structured FFT algorithm, CPG shortened the hospital stay and help avoided admission to ICU, but it did not affect other relevant outcomes.

A differential process mining analysis of COVID-19 management for cancer patients.

During the acute phase of the COVID-19 pandemic, hospitals faced a challenge to manage patients, especially those with other comorbidities and medical needs, such as cancer patients. Here, we use Process Mining to analyze real-world therapeutic pathways in a cohort of 1182 cancer patients of the Lausanne University Hospital following COVID-19 infection. The algorithm builds trees representing sequences of coarse-grained events such as Home, Hospitalization, Intensive Care and Death. The same trees can also show probability of death or time-to-event statistics in each node. We introduce a new tool, called Differential Process Mining, which enables comparison of two patient strata in each node of the tree, in terms of hits and death rate, together with a statistical significance test. We thus compare management of COVID-19 patients with an active cancer in the first vs. second COVID-19 waves to quantify hospital adaptation to the pandemic. We also compare patients having undergone systemic therapy within 1 year to the rest of the cohort to understand the impact of an active cancer and/or its treatment on COVID-19 outcome. This study demonstrates the value of Process Mining to analyze complex event-based real-world data and generate hypotheses on hospital resource management or on clinical patient care.

Development and Roll-Out of A Coronavirus Disease 2019 Clinical Pathway for Standardized Qualified Care in Public Hospitals in Korea.

Despite the coronavirus disease 2019 (COVID-19) vaccination roll-out, variant-related outbreaks have occurred repeatedly in Korea. Although public hospitals played a major role in COVID-19 patients' care, difficulty incorporating evolving COVID-19 treatment guidelines called for a clinical pathway (CP). Eighteen public hospitals volunteered, and a professional review board was created. CPs were formulated containing inclusion/exclusion criteria, application flow charts, and standardized order sets. After CP roll-out, key parameters improved, such as increased patient/staff five-point satisfaction scores (0.41/0.57) and decreased hospital stays (1.78 days)/medical expenses (17.5%). The CPs were updated consistently after roll-out as new therapeutics drugs were introduced and quarantine policies changed.

The determinants of patient care manager role and the implementation of COVID-19 clinical pathway: a cross-sectional study.

Objective: This study aims to determine the factors associated with patient care manager role and the implementation of the clinical pathway among nurses in private hospitals. Methods: This study was conducted from January-July 2021 using the cross-sectional approach. The sample consisted of 168 nurses working in a private hospital in Surabaya City, East Java, Indonesia. Meanwhile, the data were collected using the Patient Care Manager Role Scale (PCMRS) and analyzed by multiple logistic regression to find the correlation between the variables. Results: A higher percentage of nurses namely 64.3% had compliance in COVID-19 clinical pathways with an average PCMRS score of 27.81 ± 2.43. Nurses with a high-level patient care manager role level had a significant compliance risk with odds ratio [OR] 440.137, 95% confidence interval [CI] [51.850-3736.184], and p-value = 0.000 compared to those with a low role. Conclusion: The role of patient care manager and compliance with COVID-19 clinical pathways correlated significantly. Based on the results, several actions are needed for the early identification of patient service managers' roles to ensure compliance with COVID-19 clinical pathways and reduce the number of cases in Indonesia.

From Survey Results to a Decision-Making Matrix for Strategic Planning in Healthcare: The Case of Clinical Pathways.

BACKGROUND: It is a well-known fact that the information obtained from a survey can be used in a healthcare organizational analysis; however, it is very difficult to compare the different results found in the literature to each other, even through the use of metanalysis, as the methodology is often not consistent. METHODS: Data from a survey analyzing the organizational and managerial responses adopted in pathology-specific clinical pathways (CPs) during the first two waves of the COVID-19 pandemic were used for constructing a decisional matrix, a tool called SPRIS system, consisting of four different sheets. The first sheet reports the results of the survey and, using a streetlight color system, identifies strengths and weaknesses; the second one, by assigning a priority score, establishes the priority of intervention on each of the strengths and weaknesses identified; the third sheet reports the subjective items of the questionnaire in order to identify threats and opportunities and their probability of happening; in the last sheet, a SWOT Analysis is used to calculate the performance index of the whole organization. RESULTS: The SPRIS system, applied to data concerning the adaptation of four CPs to the COVID-19 pandemic, showed that, whereas all the CPs had a good performance index, some concerns remained unsolved and need be addressed. CONCLUSIONS: The SPRIS system showed to be an easily constructed tool that is able to give an overview of the organization analyzed by the survey and to produce an index that can be used in a direct quality comparison between different services or organizations.

BPM Support for Patient-Centred Clinical Pathways in Chronic Diseases.

Epidemiological trends over the past decade show a significant worldwide increase in the burden of chronic diseases. At the same time, the human resources of health care are becoming increasingly scarce and expensive. One of the management concepts that can help in solving this problem is business process management (BPM). The results of research conducted in the healthcare sector thus far prove that BPM is an effective tool for optimizing clinical processes, as it allows for the ongoing automatic tracking of key health parameters of an individual patient without the need to involve medical personnel. The aim of this article is to present and evaluate the redesign of diagnostic and therapeutic processes enabling the patient-centric organization of therapy thanks to the use of new telemedicine techniques and elements of hyperautomation. By using an illustrative case study of one of the most common chronic diseases, Chronic Obstructive Pulmonary Disease (COPD), we discuss the use of clinical pathways (CPs) prepared on the basis of the current version of the Global Initiative for Chronic Obstructive Lung Disease (GOLD) as a communication tool between healthcare professionals, the patient and his or her caregivers, as well as the method of identifying and verifying new knowledge generated on an ongoing basis in diagnostic and therapeutic processes. We also show how conducting comprehensive, patient-focused primary health care relieves the health care system, and at the same time, thanks to the use of patient engagement and elements of artificial intelligence (predictive analyses), reduces the significant clinical risk of therapy.

Teledermatology Adaptations in the COVID-19 Era.

The COVID-19 pandemic has required health services worldwide to adapt to dramatically changing healthcare needs and risks across all medical specialties. In the dermatology department at Princess Alexandra Hospital, Brisbane, Australia, we developed and implemented a teledermatology system with 1 week's notice to help reduce infection risk bidirectionally, while saving patients many hours of travel and waiting time with acceptable technological substitutes for the clinical encounters. In this study, we report the efficacy and tolerability of our telephone consultation and store and forward imaging system, including patient experience from validated survey data. Our design, implementation and usage of a remote-default system provides experience and lessons to draw upon in developing future telemedicine systems to address dermatology service maldistribution - an issue affecting large areas of Australia - as well as preparedness for future infection mitigation requirements.

Clinical informatics accelerates health system adaptation to the COVID-19 pandemic: examples from Colorado.

OBJECTIVE: Large health systems responding to the coronavirus disease 2019 (COVID-19) pandemic face a broad range of challenges; we describe 14 examples of innovative and effective informatics interventions. MATERIALS AND METHODS: A team of 30 physician and 17 nurse informaticists with an electronic health record (EHR) and associated informatics tools. RESULTS: To meet the demands posed by the influx of patients with COVID-19 into the health system, the team built solutions to accomplish the following goals: 1) train physicians and nurses quickly to manage a potential surge of hospital patients; 2) build and adjust interactive visual pathways to guide decisions; 3) scale up video visits and teach best-practice communication; 4) use tablets and remote monitors to improve in-hospital and posthospital patient connections; 5) allow hundreds of physicians to build rapid consensus; 6) improve the use of advance care planning; 7) keep clinicians aware of patients' changing COVID-19 status; 8) connect nurses and families in new ways; 9) semi-automate Crisis Standards of Care; and 10) predict future hospitalizations. DISCUSSION: During the onset of the COVID-19 pandemic, the UCHealth Joint Informatics Group applied a strategy of "practical informatics" to rapidly translate critical leadership decisions into understandable guidance and effective tools for patient care. CONCLUSION: Informatics-trained physicians and nurses drew upon their trusted relationships with multiple teams within the organization to create practical solutions for onboarding, clinical decision-making, telehealth, and predictive analytics.

Managing a Tertiary Orthopedic Hospital during the COVID-19 Epidemic, Main Challenges and Solutions Adopted.

The present paper is a review of the main challenges faced by the management of a tertiary specialty hospital during the COVID-19 pandemic in the northern Italian region of Lombardy, an area of extremely high epidemic impact. The article focuses on the management of patient flows, access to the hospital, maintaining and reallocating staffing levels, and managing urgent referrals, information, and communications from the point of view of the hospital managers over a seven-week period. The objective of the article is to provide beneficial insights and solutions to other hospital managers and medical directors who should find themselves in the same or a similar situation. In such an epidemic emergency, in the authors' opinion, the most important factors influencing the capability of the hospital to maintain operations are (1) sustaining the strict triage of patients, (2) the differentiation of flows and pathways to create what could be regarded as "a hospital inside a hospital", (3) tracing and sharing all available information to face the rapidly changing environment, (4) being able to maintain staffing levels in critical areas by flexibly allocating the workforce, and (5) from a regional perspective, being organized along a hub-and-spoke system for critical and time-sensitive networks was key for focusing the hospital's resources on the most needed services.