The future of hospitals.
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ABSTRACT:
SUBMITTER: Wilson CB
PROVIDER: S-EPMC1129065 | biostudies-literature | 1999 Nov
REPOSITORIES: biostudies-literature
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Project description:BackgroundMedical training through specialization and even subspecialization has contributed significantly to clinical excellence in treating single acute conditions. However, the needs of complex patients go beyond single diseases, and there is a need to identify a group of generalists who are able to deliver cost-effective, holistic care to patients with multiple comorbidities and multi-faceted needs. Community hospitals (CHs) are a critical part of Singapore's shift toward a community-centric care model as the population ages. Community Hospitals of the Future ("CHoF") represent a series of emerging conversations around approaches to reimagine and redesign care delivery in a CH setting in response to changing care needs.MethodsAn environmental scan in the CH landscape using semi-structured interviews was conducted with 26 senior management, management, and working-level staff from seven community hospitals in Singapore. This environmental scan aims to understand the current barriers and future opportunities for CHs; to guide how CHs would have to shift in terms of (i) care delivery and resourcing, (ii) information flow, and (iii) financing; and to conceptualize CHoF to meet the changing care needs in Singapore.FindingsThe analysis of all transcripts revealed four broad sections of themes: (i) current care delivery in CHs, (ii) current challenges of CHs, (iii) future opportunities, and (iv) challenges in reimagining CHs. An emerging theme regarding the current key performance indicators used also surfaced. Resource limitations and financing structure of CH surfaced as limitations to expanding its capability. However, room for expansion of CH roles tapping on the current expertise were acknowledged and shared.ConclusionWith the current issues of (i) rapidly aging population, (ii) specialist-centric healthcare system, and (iii) fragmentation of care ecosystem, there is a need to further understand how CHoF can be modeled to better tackle them. Therefore, several important questions have been devised to land us in a microscopic view on how to develop CHoF in the right constructs. Demographic changes, patient segmentation, service and regulatory parameters, patient's perspective, care delivery, and financial levers (or lack of) are some of the categories that the interview questions looked into. Therefore, the data gathered would be used to guide and refine the concept of CHoF.
| S-EPMC10445538 | biostudies-literature
Project description:In Singapore, an ageing population with increasing chronic disease burden and complex social circumstances have strained the healthcare system. For the health system to run more efficiently, patients should be appropriately sited according to their medical needs. In Singapore, community hospitals serve as an intermediate inpatient facility managing patients with sub-acute and rehabilitation care needs. Our policy brief uncovers the gaps in transforming community hospital care models and offers actionable steps to unlock the community hospital chokepoints in Singapore's health system. The future community hospitals can accommodate higher acuity but medically stable patients, while patients who do not require inpatient rehabilitation care can be appropriately sited to community partners, if policy, resourcing and technology factors are addressed. An evidence-based, stepwise approach involving all stakeholders will be required to pilot and evaluate new models before large-scale change.
| S-EPMC11300341 | biostudies-literature
Project description:Resilience is an organizational capacity in day-to-day practice and crisis situation performance. A one of a kind crisis for hospitals is the COVID-19 pandemic. The long duration and magnitude of this crisis offers the opportunity to gain insight into the complexity of crisis management and organizational resilience of hospitals. This interview study therefore explored the organizational resilience of Dutch hospitals during the first 14 months of the COVID-19 pandemic. Nine board members of nine Dutch hospitals were interviewed by means of a semi-structured interview that was built on thirteen indicators of organizational resilience. The results showed that board members considered their hospitals as resilient on almost all indicators. Their judgments varied about how prepared and ready for future crises they considered their hospital. According to board members, hospitals are mainly prepared for "acute" short-term crises, thanks to good crisis leadership, open communication and strong networks. A crisis as long as the COVID-19 pandemic was unprecedented and therefore more difficult to deal with. In between the infection waves, work processes were reflected upon to learn, anticipate and respond more smoothly to successive waves. However, the enduring nature of the COVD-19 crisis presented complex organizational challenges. Crisis operations were eventually scaled down and hospitals had to manage the crisis and regular care as two companies side by side. Each crisis manifests differently. Fostering trust in healthcare staff and allowing them to act autonomously during crises, while diligently monitoring external influences and potential future crises, are therefore paramount in developing organizational adaptive capacities.
| S-EPMC11251290 | biostudies-literature
Project description:BackgroundIn concert with other digital technologies, artificial intelligence (AI) is shaping the vision of smart hospitals. The transformation into smart hospitals, however, is all but trivial due to the lack of financial and human resources, digital skills, and supporting policies. Thus, the extent to which the vision of smart hospitals will eventually become reality is uncertain. In this context, our study provides a multidimensional conceptualization of the immediate future of smart hospitals to 2042.MethodsThis study employs an iterative mixed-methods approach, including expert workshops and a Delphi study. We conducted a real-time Delphi study to forecast the evolution of smart hospitals in 5-year steps from 2027 to 2042. A total of 39 experts in healthcare, artificial intelligence, and management participated.ResultsOur understanding of a technology-enabled smart hospital in this study includes four dimensions: artificial intelligence (AI), sustainability, ecosystems, and human-centeredness. Our findings underscore the critical need to address the shortage of hospital staff and general practitioners that models predict will peak by 2032. Additionally, our results show a significant shift to individualized medicine and home care. This shift indicates that smart hospitals are expected to leverage AI and digital technologies to tailor care to each patient. Furthermore, the roles and responsibilities of hospital staff will undergo significant changes. Healthcare personnel will have to adapt to new technologies that facilitate more efficient workflows and improve patient engagement in evolving healthcare environments. The results of our study suggest a shift in care to individualized medicine and home care, with corresponding changes in the roles and responsibilities of hospital staff who will employ new technologies.ConclusionsThe findings from our real-time Delphi study suggest that the vision of smart hospitals is gradually becoming reality over the next 20 years. Advancements in artificial intelligence should enhance operational efficiency and patient-centric care, while facilitating the integration of sustainability practices and fostering collaborative ecosystems. However, addressing challenges such as staff shortages, ethical considerations, and the need for robust digital skills will be essential. A deep pool of expert healthcare practitioners, clear ethical guidelines, and robust digital skills are essential to fully realize this vision and ensure that smart hospitals can meet the evolving needs of healthcare delivery.
| S-EPMC11572004 | biostudies-literature
Project description:BackgroundClimate change is leading to more extreme heat events in temperate climates that typically have low levels of preparedness. Our objective was to describe the characteristics, treatments, and outcomes of adults presenting to hospitals with heatstroke during BC's 2021 heat dome.MethodsWe conducted a review of consecutive adults presenting to 7 hospitals in BC's Lower Mainland. We screened the triage records of all patients presenting between June 25th and 30th, 2021 for complaints related to heat, and reviewed the full records of those who met heatstroke criteria. Our primary outcome was in-hospital mortality. We used Mann-Whitney U tests and logistic regression to investigate associations between patient and treatment factors and mortality.ResultsAmong 10,247 consecutive presentations to urban hospitals during the extreme heat event, 1.3% (139; 95% confidence intervals [CI] 1.1-1.6%) met criteria for heatstroke. Of heatstroke patients, 129 (90.6%) were triaged into the two highest acuity levels. Patients with heatstroke had a median age of 84.4 years, with 122 (87.8%) living alone, and 101 (84.2%) unable to activate 911 themselves. A minority (< 5, < 3.6%) of patients presented within 48 h of the onset of extreme heat. Most patients (107, 77.0%) required admission, and 11.5% (16) died in hospital. Hypotension on presentation was associated with mortality (odds ratio [OR] 5.3).InterpretationHeatstroke patients were unable to activate 911 themselves, and most presented with a 48-h delay. This delay may represent a critical window of opportunity for pre-hospital and hospital systems to prepare for the influx of high-acuity resource-intensive patients.
| S-EPMC10861625 | biostudies-literature
Project description:BackgroundMore than 2 years into the COVID-19 pandemic, SARS-CoV-2 still impacts children's health and the management of pediatric hospitals. However, it is unclear which hygiene and infection control measures are effective and useful for pediatric hospitals. Here, we report infection control measures implemented at a tertiary care children's hospital. We evaluated frequency of SARS-CoV-2 detection in admitted patients, in-hospital transmission and infection related findings. Furthermore, we aimed to capture perspectives of health-care workers and caregivers on effectiveness and burden of infection control measures. Knowledge gained can inform management of the ongoing and future pandemics.MethodsWe designed a retrospective observational study and survey at a pediatric tertiary care referral center. Local infection control measures and respective guidelines regarding COVID-19 were reviewed. Three thousand seven hundred sixteen children under 18 years were tested for SARS-CoV-2 at the University Children's Hospital Tuebingen and data on SARS-CoV-2 transmission were retrieved from internal records. Two surveys were conducted among 219 staff members and 229 caregivers.ResultsLocal infection control measures comprised the formation of a task force, triage, protective hygiene measures and an adaptable SARS-CoV-2 test strategy. Between January 2020 and March 2021, SARS-CoV-2 infection was detected in 37 children presenting to our hospital, 21 of these were admitted. One hospital-acquired infection occurred. About 90% of health-care staff perceived the majority of measures as effective and appropriate. However, visitor restrictions and cancellation of scheduled treatments were perceived least effective by hospital staff and as a particular burden for patients and their caregivers. Visits at the pediatric emergency department significantly decreased during the pandemic. We drafted a pandemic action plan by ranking infection control measures according to local transmission stages.ConclusionsSARS-CoV-2 infection control measures implemented in our tertiary care children's hospital were evaluated by health-care workers as mostly effective and appropriate. In particular, good communication, transparency of decision-making as well as universal masking and infection screening were assessed as successful measures of infection control management. Visitor restrictions and cancellation of routine appointments, in contrast, were perceived as a particular burden on patient care and should be avoided. An established pandemic action plan may guide children's hospitals in the future.
| S-EPMC9039594 | biostudies-literature
Project description:BackgroundHerniated lumbar disc is one of the common causes of back pain. Discectomy provides rapid relief of back pain and radicular pain. Few studies have been done in our setting to look for the outcome of discectomy. The purpose of this study was to assess the outcome of discectomy.MethodsThis prospective cross-sectional hospital-based study was carried out on Soba Teaching Hospital and Future hospitals in Khartoum, Sudan. Sixty-one patients with lumbar discectomy were included in this study, collected data through a direct interviewing questionnaire and took some information from patients' files. Then collected data were analyzed using the statistical package for social science (SPSS) 24.ResultsIn sixty-one patients with lumbar discectomy of them, 24(39.3%) were within the age group 31-45 years old, 21(34.4%) were within the age group 46-50 years old, and 10(16.4%) were within age group 51-65years old. Results showed a male-to-female ratio of 1.5:1. The most common presenting symptoms were right Leg pain or numbness in 14(23%) patients. In the majority, 33(54.1%) of patients, the duration of symptoms was 6-12 months, 46(75.4%) underwent discectomy only, and 15(24.6%) underwent discectomy with fusion. Preoperatively, the majority of 30(49.1%) patients had a complete disability, 26(42.6%) had a severe disability, and 5(8.2%) had a moderate disability. In contrast, postoperatively, the majority, 35(57.4%) of patients, had mild disability, 24(39.3%) had no disability, and only 2(3.3%) had moderate disability (P value < .001). Moreover, there was a statistically significant association between the presence of co-morbidity and postoperative outcome (P value = .021).ConclusionDiscectomy is a gold stander procedure in the management of LDH. Patients showed excellent functional outcomes. The most common presenting symptoms were right leg pain or numbness. Patients postoperatively showed significant clinical improvement according to the mODI score.
| S-EPMC9758349 | biostudies-literature
Project description:BackgroundThe use of mobile devices in hospital care constantly increases. However, smartphones and tablets have not yet widely become official working equipment in medical care. Meanwhile, the parallel use of private and official devices in hospitals is common. Medical staff use smartphones and tablets in a growing number of ways. This mixture of devices and how they can be used is a challenge to persons in charge of defining strategies and rules for the usage of mobile devices in hospital care.ObjectiveTherefore, we aimed to examine the status quo of physicians' mobile device usage and concrete requirements and their future expectations of how mobile devices can be used.MethodsWe performed a web-based survey among physicians in 8 German university hospitals from June to October 2019. The online survey was forwarded by hospital management personnel to physicians from all departments involved in patient care at the local sites.ResultsA total of 303 physicians from almost all medical fields and work experience levels completed the web-based survey. The majority regarded a tablet (211/303, 69.6%) and a smartphone (177/303, 58.4%) as the ideal devices for their operational area. In practice, physicians are still predominantly using desktop computers during their worktime (mean percentage of worktime spent on a desktop computer: 56.8%; smartphone: 12.8%; tablet: 3.6%). Today, physicians use mobile devices for basic tasks such as oral (171/303, 56.4%) and written (118/303, 38.9%) communication and to look up dosages, diagnoses, and guidelines (194/303, 64.0%). Respondents are also willing to use mobile devices for more advanced applications such as an early warning system (224/303, 73.9%) and mobile electronic health records (211/303, 69.6%). We found a significant association between the technical affinity and the preference of device in medical care (χs2=53.84, P<.001) showing that with increasing self-reported technical affinity, the preference for smartphones and tablets increases compared to desktop computers.ConclusionsPhysicians in German university hospitals have a high technical affinity and positive attitude toward the widespread implementation of mobile devices in clinical care. They are willing to use official mobile devices in clinical practice for basic and advanced mobile health uses. Thus, the reason for the low usage is not a lack of willingness of the potential users. Challenges that hinder the wider adoption of mobile devices might be regulatory, financial and organizational issues, and missing interoperability standards of clinical information systems, but also a shortage of areas of application in which workflows are adapted for (small) mobile devices.
| S-EPMC7781804 | biostudies-literature
Project description:There are serious concerns with rising antimicrobial resistance (AMR) across countries increasing morbidity, mortality and costs. These concerns have resulted in a plethora of initiatives globally and nationally including national action plans (NAPs) to reduce AMR. Africa is no exception, especially with the highest rates of AMR globally. Key activities in NAPs include gaining a greater understanding of current antimicrobial utilization patterns through point prevalence surveys (PPS) and subsequently instigating antimicrobial stewardship programs (ASPs). Consequently, there is a need to comprehensively document current utilization patterns among hospitals across Africa coupled with ASP studies. In total, 33 PPS studies ranging from single up to 18 hospitals were documented from a narrative review with typically over 50% of in-patients prescribed antimicrobials, up to 97.6% in Nigeria. The penicillins, ceftriaxone and metronidazole, were the most prescribed antibiotics. Appreciable extended prescribing of antibiotics up to 6 days or more post-operatively was seen across Africa to prevent surgical site infections. At least 19 ASPs have been instigated across Africa in recent years to improve future prescribing utilizing a range of prescribing indicators. The various findings resulted in a range of suggested activities that key stakeholders, including governments and healthcare professionals, should undertake in the short, medium and long term to improve future antimicrobial prescribing and reduce AMR across Africa.
| S-EPMC9774141 | biostudies-literature
Project description:BackgroundThe increasing development of artificial intelligence (AI) systems in medicine driven by researchers and entrepreneurs goes along with enormous expectations for medical care advancement. AI might change the clinical practice of physicians from almost all medical disciplines and in most areas of health care. While expectations for AI in medicine are high, practical implementations of AI for clinical practice are still scarce in Germany. Moreover, physicians' requirements and expectations of AI in medicine and their opinion on the usage of anonymized patient data for clinical and biomedical research have not been investigated widely in German university hospitals.ObjectiveThis study aimed to evaluate physicians' requirements and expectations of AI in medicine and their opinion on the secondary usage of patient data for (bio)medical research (eg, for the development of machine learning algorithms) in university hospitals in Germany.MethodsA web-based survey was conducted addressing physicians of all medical disciplines in 8 German university hospitals. Answers were given using Likert scales and general demographic responses. Physicians were asked to participate locally via email in the respective hospitals.ResultsThe online survey was completed by 303 physicians (female: 121/303, 39.9%; male: 173/303, 57.1%; no response: 9/303, 3.0%) from a wide range of medical disciplines and work experience levels. Most respondents either had a positive (130/303, 42.9%) or a very positive attitude (82/303, 27.1%) towards AI in medicine. There was a significant association between the personal rating of AI in medicine and the self-reported technical affinity level (H4=48.3, P<.001). A vast majority of physicians expected the future of medicine to be a mix of human and artificial intelligence (273/303, 90.1%) but also requested a scientific evaluation before the routine implementation of AI-based systems (276/303, 91.1%). Physicians were most optimistic that AI applications would identify drug interactions (280/303, 92.4%) to improve patient care substantially but were quite reserved regarding AI-supported diagnosis of psychiatric diseases (62/303, 20.5%). Of the respondents, 82.5% (250/303) agreed that there should be open access to anonymized patient databases for medical and biomedical research.ConclusionsPhysicians in stationary patient care in German university hospitals show a generally positive attitude towards using most AI applications in medicine. Along with this optimism comes several expectations and hopes that AI will assist physicians in clinical decision making. Especially in fields of medicine where huge amounts of data are processed (eg, imaging procedures in radiology and pathology) or data are collected continuously (eg, cardiology and intensive care medicine), physicians' expectations of AI to substantially improve future patient care are high. In the study, the greatest potential was seen in the application of AI for the identification of drug interactions, assumedly due to the rising complexity of drug administration to polymorbid, polypharmacy patients. However, for the practical usage of AI in health care, regulatory and organizational challenges still have to be mastered.
| S-EPMC7980122 | biostudies-literature