AI and the Infectious Medicine of COVID-19

Coinciding with the global pandemic of SARS-CoV-2 and the resulting global public health crisis caused by COVID-19, artificial intelligence methods started playing an ever more important role in Infectious Medicine. On one hand this was a result of a continuous digital transformation of Infectious Medicine-a trend started decades ago. On the other hand, the pandemic catalyzed the adoption of artificial intelligence and other digital and quantitative techniques by Infectious Medicine. In this chapter we review recent works touching upon aspects of COVID-19 patient journey and how it interconnects with big data and artificial intelligence. These include early and clinical research, epidemiology and detection, diagnostics, clinical care and decision support, as well as long-term care and prevention. We cross-compare the published works and assess their maturity. Finally, we provide a conclusion on the state of artificial intelligence in the Infectious Medicine of COVID-19 and attempt a future perspective. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022.

The Hitchhiker's Guide to Spine Awake Surgery. The Oxford SAS Protocol and Early Outcomes.

OBJECTIVE: Spine awake surgery (SAS) aims to achieve faster recovery times, better outcomes, and a lesser economic impact on society. Our drive to establish SAS was to improve patient outcomes and health economics during the COVID-19 pandemic. After a systematic review and to the best of our knowledge, SAS, the Oxford Protocol, is the first protocolized pathway that aims to train bespoke teams performing SAS safely, efficiently, and in a standardized repeatable fashion. A pilot study was designed around newly derived protocols and simulated training to determine if SAS is a safe and implementable pathway to improve patient outcomes and health economics. METHODS: We assessed a cohort of 10 patients undergoing one-level lumbar discectomies and decompressions, analyzing the related costs, length of stay, complications, pain management, and patient satisfaction. RESULTS: The age range of our patients was 46-84 years. Three discectomies and 7 central canal stenosis decompressions were performed. Eight patients were discharged on the same day. All patients gave positive feedback about their experience of SAS. A significant cost saving was made compared to a general anesthesia (GA) overnight stay across the group. No on day cancellations occurred due to lack of bed availability. No patient needed analgesia in the recovery room or needed additional analgesia over and above the SAS e-prescription take home package. CONCLUSIONS: Our early experience and journey reinforce our drive to push forward and expand on this process. It aligns with the international literature which highlights this approach as safe, efficient, and economical.

Exploring Patient Journey Mapping and the Learning Health System: Scoping Review.

BACKGROUND: Journey maps are visualization tools that can facilitate the diagrammatical representation of stakeholder groups by interest or function for comparative visual analysis. Therefore, journey maps can illustrate intersections and relationships between organizations and consumers using products or services. We propose that some synergies may exist between journey maps and the concept of a learning health system (LHS). The overarching goal of an LHS is to use health care data to inform clinical practice and improve service delivery processes and patient outcomes. OBJECTIVE: The purpose of this review was to assess the literature and establish a relationship between journey mapping techniques and LHSs. Specifically, in this study, we explored the current state of the literature to answer the following research questions: (1) Is there a relationship between journey mapping techniques and an LHS in the literature? (2) Is there a way to integrate the data from journey mapping activities into an LHS? (3) How can the data gleaned from journey map activities be used to inform an LHS? METHODS: A scoping review was conducted by querying the following electronic databases: Cochrane Database of Systematic Reviews (Ovid), IEEE Xplore, PubMed, Web of Science, Academic Search Complete (EBSCOhost), APA PsycInfo (EBSCOhost), CINAHL (EBSCOhost), and MEDLINE (EBSCOhost). Two researchers applied the inclusion criteria and assessed all articles by title and abstract in the first screen, using Covidence. Following this, a full-text review of included articles was done, with relevant data extracted, tabulated, and assessed thematically. RESULTS: The initial search yielded 694 studies. Of those, 179 duplicates were removed. Following this, 515 articles were assessed during the first screening phase, and 412 were excluded, as they did not meet the inclusion criteria. Next, 103 articles were read in full, and 95 were excluded, resulting in a final sample of 8 articles that satisfied the inclusion criteria. The article sample can be subsumed into 2 overarching themes: (1) the need to evolve service delivery models in health care, and (2) the potential value of using patient journey data in an LHS. CONCLUSIONS: This scoping review demonstrated the gap in knowledge regarding integrating the data from journey mapping activities into an LHS. Our findings highlighted the importance of using the data from patient experiences to enrich an LHS and provide holistic care. To satisfy this gap, the authors intend to continue this investigation to establish the relationship between journey mapping and the concept of LHSs. This scoping review will serve as phase 1 of an investigative series. Phase 2 will entail the creation of a holistic framework to guide and streamline data integration from journey mapping activities into an LHS. Lastly, phase 3 will provide a proof of concept to demonstrate how patient journey mapping activities could be integrated into an LHS.

Reporting and conducting patient journey mapping research in healthcare: A scoping review.

AIM: To identify how patient journey mapping is being undertaken and reported. DESIGN: A scoping review of the literature was undertaken using JBI guidance. DATA SOURCES: Databases were searched in July 2021 (16th-21st), including Ovid's Medline, Embase, Emcare and PsycINFO; Scopus; Web of Science Core Collection, the Directory of Open Access Journals; Informit and; ProQuest Dissertations and Theses Global. REVIEW METHODS: Eligible articles included peer-reviewed literature documenting journey mapping methodologies and studies conducted in healthcare services. Reviewers used Covidence to screen titles and abstracts of located sources, and to screen full-text articles. A table was used to extract data and synthesize results. RESULTS: Eighty-one articles were included. An acceleration of patient journey mapping research was observed, with 76.5% (n = 62) of articles published since 2015. Diverse mapping approaches were identified. Reporting of studies was inconsistent and largely non-adherent with relevant, established reporting guidelines. CONCLUSION: Patient journey mapping is a relatively novel approach for understanding patient experiences and is increasingly being adopted. There is variation in process details reported. Considerations for improving reporting standards are provided. IMPACT: Patient journey mapping is a rapidly growing approach for better understanding how people enter, experience and exit health services. This type of methodology has significant potential to inform new, patient centred models of care and facilitate clinicians, patients and health professionals to better understand gaps and strategies in health services. The synthesised results of this review alert researchers to options available for journey mapping research and provide preliminary guidance for elevating reporting quality.

Artificial intelligence assisted acute patient journey.

Artificial intelligence is taking the world by storm and soon will be aiding patients in their journey at the hospital. The trials and tribulations of the healthcare system during the COVID-19 pandemic have set the stage for shifting healthcare from a physical to a cyber-physical space. A physician can now remotely monitor a patient, admitting them only if they meet certain thresholds, thereby reducing the total number of admissions at the hospital. Coordination, communication, and resource management have been core issues for any industry. However, it is most accurate in healthcare. Both systems and providers are exhausted under the burden of increasing data and complexity of care delivery, increasing costs, and financial burden. Simultaneously, there is a digital transformation of healthcare in the making. This transformation provides an opportunity to create systems of care that are artificial intelligence-enabled. Healthcare resources can be utilized more justly. The wastage of financial and intellectual resources in an overcrowded healthcare system can be avoided by implementing IoT, telehealth, and AI/ML-based algorithms. It is imperative to consider the design principles of the patient's journey while simultaneously prioritizing a better user experience to alleviate physician concerns. This paper discusses the entire blueprint of the AI/ML-assisted patient journey and its impact on healthcare provision.

Long COVID Diary - Design and Development of a Support Application for People with Long COVID

Due to the COVID pandemic more and more people suffer from mid-to long-term problems associated with it. COVID can also cause a wide range of health issues over a longer period of time, which has been called Long COVID. Due to the wide range of symptoms and the fact that Long COVID is relatively new, there is a lack of applications supporting Long COVID patients. In this paper, a newly developed solution of a Long COVID patient support application is being discussed. It is based on the previous identification of requirements from questionnaires of patients with Long COVID, where they expressed their needs and wishes for such a solution with additional identified ones. This paper focuses on designing and developing an application containing the respective derived requirements to help and support people suffering from Long COVID. © 2022 IEEE.

Den Patienten wirklich verstehen lernen: Real-world-Evidenz aus der „patient journey“

Background The coronavirus disease 2019 (COVID-19) pandemic has underscored the importance of real world data in everyday clinical practice and has highlighted some long-standing problems of our healthcare system such as gaps in primary data collection, hurdles in the evaluation of patient data, and complexity regarding the data exchange between different institutions. In addition, changes in physician-patient relationships such as transitions from a paternalistic to a partnership-based relationship model as well as increasing digitalization have shaped our modern understanding of healthcare, emphasizing the issue of patient autonomy and self-efficacy and highlighting the need for innovative, patient-centered approaches. Methods Using the patient journey as a theoretical construct, we describe the collection of different types of real world data, their meaning and handling. Conclusion Mapping the patient journey process combined with a widely used data standard can lead to the acquisition of primary data in the healthcare sector which can be used by all medical treatment institutions. This will lead to an exchange of valuable data between institutions and circuit the current problem of proprietary formats. Furthermore, the evaluation of patient-reported outcomes as a standard in the clinical routine could enhance patients' autonomy and optimize treatment. Thus, the overall treatment effectiveness and survival of patients can be improved by creating a common data language and using a holistic, human-centered care approach through integrating perspectives of patients and their loved ones.

Understanding the lived experience of lung cancer: a European social media listening study.

BACKGROUND: Social media platforms are increasingly being used by stakeholders to generate, access, and share health-related information and experiences. Lung cancer is the most common cancer, impacting > 2 million patients globally. This observational study utilized a social listening approach to analyze social media trends and gain insights into stakeholder perceptions of lung cancer. METHODS: This social media study retrospectively collated data from open access blogs, forums, and social networking sites. Social media posts were collected between June 2019-May 2020 from 14 European countries. Using social media aggregator tools, posts comprising lung cancer and non-small cell lung cancer-specific terms were extracted. Manual and automated relevancy algorithms filtered the extracted information to provide the relevant dataset. This contextualized dataset was further mined to generate the final data for analysis. RESULTS: Of 1360 conversations analyzed, 42% were generated by patients/caregivers and 14% by healthcare professionals (HCPs). A majority of patients were 51-70 years old (approximately 50%) and 91% (n = 500/550) had late-stage cancer. Treatment (35%) and disease awareness (30%) were among the most discussed topic of the patient journey. Although the overall treatment sentiment was neutral, chemotherapy was the treatment type with the highest associated negative sentiment (28%); fewer negative sentiments were associated with immunotherapy (9%) and targeted therapy (2%), due to perceptions of longer survival outcomes and fewer side effects. In conversations that discussed clinical endpoints, "survivability" and "overall survival" (47 and 30%, respectively; n = 539) were most frequently mentioned by stakeholders. HCPs mostly used technical terms, whereas patients and caregivers used colloquial terms such as "getting rid of cancer". Emotional wellness was identified to have a huge impact on quality of life in lung cancer. Delay or treatment cancellations due to COVID-19, lack of effective treatments and funding, and lack of empathy by physicians emerged as the key unmet needs among patients/caregivers. CONCLUSIONS: Social listening proved to be an effective tool to explore stakeholders' perceptions and their key unmet needs, typically not available in published literature or databases, and provides HCPs with valuable insights into the distress, doubts, and needs of lung cancer patients and caregivers.

Open Innovation within Life Sciences: Industry-Specific Challenges and How to Improve Interaction with External Ecosystems

While Open Innovation (OI) and user integration have been applied across industries over the last two decades more professionally and digitally, the life science (LS) sector has various obstacles and regulations to overcome in order to implement and execute OI initiatives as well as entire programs. Moreover, scientific research has been scarce on analyzing data in this industry. The number of companies applying OI methodologies has risen significantly in the last couple of years. However, intellectual property (IP) and data protection make it hard to get access to good insights. However, we have accompanied ten LS companies (including 48 OI initiatives/programs) using an action research approach based on various data (e.g., interviews) over ten years, including the time of the outbreak and dissemination of the COVID-19 pandemic. In this paper, we will share insights about 1) the unique characteristics of OI in the LS sector compared to other industries, 2) the identification of used OI methodologies and their success criteria, as well as 3) the change and influence of the COVID-19 pandemic on the use of OI programs in the LS sector. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Analysis of Stroke Assistance in Covid-19 Pandemic by Process Mining Techniques.

Medical assistance to stroke patients must start as early as possible; however, several changes have impacted healthcare services during the Covid-19 pandemic. This research aimed to identify the stroke onset-to-door time during the Covid-19 pandemic considering the different paths a patient can take until receiving specialized care. It is a retrospective study based on process mining (PM) techniques applied to 221 electronic healthcare records of stroke patients during the pandemic. The results are two process models representing the patient's path and performance, from the onset of the first symptoms to admission to specialized care. PM techniques have discovered the patient journey in providing fast stroke assistance.

Virtual clinics versus face-to-face review: Is the benefit the same for new orthopaedic patients?

BACKGROUND: COVID-19 shocked global healthcare systems, particularly the surgical services, resulting in a significant backlog of patients with waiting times not expected to return to pre-pandemic levels until 2025. The Royal College of Surgeons has recommended a wider use of virtual clinics to meet the increased demand. The efficacy of virtual follow up is well documented in the literature; however, there is very little evidence of the role of virtual clinics in the assessment of new elective patients. METHODS: Observational study comparing clinical outcomes of new patients electively referred to orthopaedic virtual clinics between January and February 2021 with face-to-face clinics in January and February 2020. RESULTS: Over the equivalent time frame, more patients were reviewed in virtual clinics compared to traditional face-to-face (821 vs 499). However, virtual clinics lead to significantly more patients being brought back for follow up (78.3% vs 37.3%) and fewer patients received outcomes that progressed their journey towards a definitive intervention or discharge. CONCLUSION: The overall benefit of virtual clinic appointments in the context of reviewing new patients remains to be proven. Despite increasing use of virtual clinics in the National Health Service, we have shown a potential delay to patients' clinical progression, ultimately delaying healthcare delivery. Potential methods to improve the benefit of virtual clinics are proposed.

Digital Technology in Visceral Medicine: An Overview in Outpatient Care in Germany.

BACKGROUND: Digital technology has become an integral part of healthcare and will revolutionize the practice of medicine. Although previously the administrative tasks were captured by digital technologies, now the communication channels with the patients are also being focused. For example, taking medical histories is now made possible by this new technology, information and explanatory forms can be sent digitally, and even face-to-face consultations are increasingly made possible by video consultations. Especially in the COVID pandemic, this form of contactless encounter has become a valuable enrichment of medical care. But also telemedical tasks such as teleconsultation or artificial intelligence in the context of adenoma detection are techniques that are conquering outpatient and inpatient visceral medical care. SUMMARY: This article gives an overview of digital communication and possible uses of digital technologies in medical practices in Germany. KEY MESSAGE: Medicine is renewing itself through digital techniques. The pace of change is rapid and unstoppable. Today's medical progress is no longer conceivable without these techniques.

Rheumatoid arthritis management in the APLAR region: Perspectives from an expert panel of rheumatologists, patients and community oriented program for control of rheumatic diseases.

Rheumatoid arthritis (RA) is a major health burden in Asia Pacific affecting the quality of life of patients and consuming healthcare resources. According to recent estimates from the World Health Organization-International League Against Rheumatism-Community Oriented Program for Control of Rheumatic Diseases, prevalence is around 0.3%-0.5%. Management guidelines have helped to improve treatment across this diverse region. To gain better insight into current real-world management applications in view of these guidelines, virtual meetings were conducted in mid-2020 to explore perspectives of rheumatologists and patients, as well as discuss the impact of coronavirus disease 2019 on RA management. Patients and rheumatologists from Hong Kong, Malaysia, Singapore, the Philippines, Thailand, India, Pakistan, and Taiwan were included, representing a diverse mix of healthcare systems, wealth, ethnicity and culture. Despite many countries having prospered in recent years, similar challenges in RA diagnosis and treatment were identified. The daily impact and patient experience of RA were also similar across countries, marked by "silent" pain and disability, and universal misunderstanding of the disease. Late diagnosis and treatment, and barriers to access to appropriate treatment, remain problematic. The experience shared by Taiwan offers a glimmer of hope, however, wherein patient advocacy groups have succeeded in being included in policy-making decisions and securing access to advanced treatment. Real-world solutions that pay heed to the unique local needs and diversity of Asia Pacific are required to improve RA management, which will take time. In the interim, help can be sought from the trained, non-rheumatologist community to reduce some of the disease burden.

Implementation of Triage System and Shortening Patient Journey Time to Prevent COVID-19 Transmission in a University Hospital during a Pandemic.

To explore the characteristics of the patient under investigation (PUI), and the routes and the patient journey time in our outpatient service, we examined the demographic data, presenting symptoms, risks of contact with COVID-19 cases, and the results of real-time polymerase chain reaction (PCR) tests in PUI cases from March to May 2020. The contact time, transfer time and total journey time of patient journey routes in our hospital were also explored. The results were shown in numbers, percentages and medians (interquartile range, IQR). A total of 334 PUI cases were identified from our triage system. The median (IQR) age was 35 (27, 47) years. Cough was the most common presenting symptom (56.2%), while fever (≥37.5 °C) was found in only 19.8% of the cases. The median (IQR) time of onset of the presenting symptoms was 3 (1, 5) days. The most common risk of contact with COVID-19 cases found during the triage was living in or returning from an outbreak area. Fifteen (4.5%) of the PUI cases had positive real-time PCR tests. The contact time and transfer time were longest in the PUI ward and from the Emergency Department (ED) to the PUI ward, respectively. Plans and actions to shorten the transfer time between the ED and the PUI ward and the total journey time should be developed.

Qualitative Interdisciplinary Learning Reviews of Non-COVID-19 Patients' Journeys During the COVID-19 Pandemic.

In the early months of 2020, hospital processes were changed in response to the coronavirus disease 2019 (COVID-19) pandemic. We present one community hospital's experience in conducting a series of interdisciplinary learning reviews (ILRs) on non-COVID-19 patient's journeys during the early months of the pandemic. An ILR is a method of reviewing medical records using a system lens to identify system-level opportunities for improvement. Using the ILR method, we identified several opportunities for improvement in caring for our patients.

A Patient Journey Map to Improve the Home Isolation Experience of Persons With Mild COVID-19: Design Research for Service Touchpoints of Artificial Intelligence in eHealth.

BACKGROUND: In the context of the COVID-19 outbreak, 80% of the persons who are infected have mild symptoms and are required to self-recover at home. They have a strong demand for remote health care that, despite the great potential of artificial intelligence (AI), is not met by the current services of eHealth. Understanding the real needs of these persons is lacking. OBJECTIVE: The aim of this paper is to contribute a fine-grained understanding of the home isolation experience of persons with mild COVID-19 symptoms to enhance AI in eHealth services. METHODS: A design research method with a qualitative approach was used to map the patient journey. Data on the home isolation experiences of persons with mild COVID-19 symptoms was collected from the top-viewed personal video stories on YouTube and their comment threads. For the analysis, this data was transcribed, coded, and mapped into the patient journey map. RESULTS: The key findings on the home isolation experience of persons with mild COVID-19 symptoms concerned (1) an awareness period before testing positive, (2) less typical and more personal symptoms, (3) a negative mood experience curve, (5) inadequate home health care service support for patients, and (6) benefits and drawbacks of social media support. CONCLUSIONS: The design of the patient journey map and underlying insights on the home isolation experience of persons with mild COVID-19 symptoms serves health and information technology professionals in more effectively applying AI technology into eHealth services, for which three main service concepts are proposed: (1) trustworthy public health information to relieve stress, (2) personal COVID-19 health monitoring, and (3) community support.

Managing the Journey of Patients under Chemotherapy in a Pandemic Era: A Nursing Perspective.

BACKGROUND: During the COVID-19 pandemic, cancer patients' care needs to be reconsidered by integrating the patient's clinical pathway with the hospital patient journey and the family context in a safe and patient-centered way. So far, no systematic reports are available regarding the impact of the COVID-19 pandemic on cancer care. This work gives a first overview of patients' care needs undergoing chemotherapy treatment from a nursing perspective.