Safety in Teletriage by Nurses and Physicians in the United States and Israel: Narrative Review and Qualitative Study.

BACKGROUND: The safety of telemedicine in general and telephone triage (teletriage) safety in particular have been a focus of concern since the 1970s. Today, telehealth, now subsuming teletriage, has a basic structure and process intended to promote safety. However, inadequate telehealth systems may also compromise patient safety. The COVID-19 pandemic accelerated rapid but uneven telehealth growth, both technologically and professionally. Within 5-10 years, the field will likely be more technologically advanced; however, these advances may still outpace professional standards. The need for an evidence-based system is crucial and urgent. OBJECTIVE: Our aim was to explore ways that developed teletriage systems produce safe outcomes by examining key system components and questioning long-held assumptions. METHODS: We examined safety by performing a narrative review of the literature using key terms concerning patient safety in teletriage. In addition, we conducted system analysis of 2 typical formal systems, physician led and nurse led, in Israel and the United States, respectively, and evaluated those systems' respective approaches to safety. Additionally, we conducted in-depth interviews with representative physicians and 1 nurse using a qualitative approach. RESULTS: The review of literature indicated that research on various aspects of telehealth and teletriage safety is still sparse and of variable quality, producing conflicting and inconsistent results. Researchers, possibly unfamiliar with this complicated field, use an array of poorly defined terms and appear to design studies based on unfounded assumptions. The interviews with health care professionals demonstrated several challenges encountered during teletriage, mainly making diagnosis from a distance, treating unfamiliar patients, a stressful atmosphere, working alone, and technological difficulties. However, they reported using several measures that help them make accurate diagnoses and reasonable decisions, thus keeping patient safety, such as using their expertise and intuition, using structured protocols, and considering nonmedical factors and patient preferences (shared decision-making). CONCLUSIONS: Remote encounters about acute, worrisome symptoms are time sensitive, requiring decision-making under conditions of uncertainty and urgency. Patient safety and safe professional practice are extremely important in the field of teletriage, which has a high potential for error. This underregulated subspecialty lacks adequate development and substantive research on system safety. Research may commingle terminology and widely different, ill-defined groups of decision makers with wide variation in decision-making skills, clinical training, experience, and job qualifications, thereby confounding results. The rapid pace of telehealth's technological growth creates urgency in identifying safe systems to guide developers and clinicians about needed improvements.

Technical note: System uncertainty on four- and eight-channel parallel RF transmission for safe MRI of deep brain stimulation devices.

BACKGROUND: Parallel radiofrequency transmission (pTx) remains a promising technology for addressing high-field magnetic resonance imaging (MRI) challenges, particularly regarding the safety of patients with implanted deep brain stimulation (DBS) devices. Radiofrequency (RF) shim optimization methods utilizing pTx technology have shown the potential to minimize induced RF heating effects at the electrode tips of DBS devices at 3 T. PURPOSE: Research pTx system implementations often involve the combination of custom and commercial hardware that are integrated onto an existing MRI system. As a result, system characterization is important to ensure implant-friendly safe imaging conditions are satisfied for the operating range of the hardware. METHODS: Utilizing electromagnetic and thermal simulations, the impact of system uncertainty is studied for the proposed 4- and 8-channel pTx system setup and its associated "safe mode" for DBS applications. RESULTS: Electromagnetic simulations indicated that instrumentation errors can affect the overall electric field strength experienced at the DBS lead tip, and a worst-case system uncertainty analysis predicted temperature elevations of +1.5°C in the 4-channel setup and +0.9°C in the 8-channel setup. CONCLUSIONS: In conclusion, system uncertainty can impact the precision of pTx RF inputs which in the worst-case, may lead to an unsafe imaging scenario and the proposed 8-channel setup may provide more robustness and thus, safer conditions for MRI of DBS patients.

The impact and prevention of systemic and diagnostic errors in surgical malpractice claims in Japan: a retrospective cohort study.

The Surgical Patient Safety System (SURPASS) has been proven to improve patient outcomes. However, few studies have evaluated the details of litigation and its prevention in terms of systemic and diagnostic errors as potentially preventable problems. The present study explored factors associated with accepted claims (surgeon-loss). We retrospectively searched the national Japanese malpractice claims database between 1961 and 2017. Using multivariable logistic regression models, we assessed the association between medical malpractice variables (systemic and diagnostic errors, facility size, time, place, and clinical outcomes) and litigation outcomes (acceptance). We evaluated whether or not the factors associated with litigation could have been prevented with the SURPASS checklist. We identified 339 malpractice claims made against general surgeons. There were 159 (56.3%) accepted claims, and the median compensation paid was 164,381 USD. In multivariable analyses, system (odds ratio, 27.2 95% confidence interval 13.8-53.5) and diagnostic errors (odds ratio 5.3, 95% confidence interval 2.7-10.5) had a significant statistical association with accepted claims. The SURPASS checklist may have prevented 7% and 10% of the accepted claims and systemic errors, respectively. It is unclear what proportion of accepted claims indicated that general surgeon loses should be prevented from performing surgery if the SURPASS checklist were used. In conclusion, systemic and diagnostic errors were associated with accepted claims. Surgical teams should adhere to the SURPASS checklist to enhance patient safety and reduce surgeon risk.

System-level optimization in spectroscopic photoacoustic imaging of prostate cancer.

This study presents a system-level optimization of spectroscopic photoacoustic (PA) imaging for prostate cancer (PCa) detection in three folds. First, we present a spectral unmixing model to segregate spectral system error (SSE). We constructed two noise models (NMs) for the laser spectrotemporal fluctuation and the ultrasound system noise. We used these NMs in linear spectral unmixing to denoise and to achieve high temporal resolution. Second, we employed a simulation-aided wavelength optimization to select the most effective subset of wavelengths. NMs again were considered so that selected wavelengths were not only robust to the collinearity of optical absorbance, but also to noise. Third, we quantified the effect of frame averaging on improving spectral unmixing accuracy through theoretical analysis and numerical validation. To validate the whole framework, we performed comprehensive studies in simulation and an in vivo experiment which evaluated prostate-specific membrane antigen (PSMA) expression in PCa on a mice model. Both simulation analysis and in vivo studies confirmed that the proposed framework significantly enhances image signal-to-noise ratio (SNR) and spectral unmixing accuracy. It enabled more sensitive and faster PCa detection. Moreover, the proposed framework can be generalized to other spectroscopic PA imaging studies for noise reduction, wavelength optimization, and higher temporal resolution.

Impact of System and Diagnostic Errors on Medical Litigation Outcomes: Machine Learning-Based Prediction Models.

No prediction models using use conventional logistic models and machine learning exist for medical litigation outcomes involving medical doctors. Using a logistic model and three machine learning models, such as decision tree, random forest, and light-gradient boosting machine (LightGBM), we evaluated the prediction ability for litigation outcomes among medical litigation in Japan. The prediction model with LightGBM had a good predictive ability, with an area under the curve of 0.894 (95% CI; 0.893-0.895) in all patients' data. When evaluating the feature importance using the SHApley Additive exPlanation (SHAP) value, the system error was the most significant predictive factor in all clinical settings for medical doctors' loss in lawsuits. The other predictive factors were diagnostic error in outpatient settings, facility size in inpatients, and procedures or surgery settings. Our prediction model is useful for estimating medical litigation outcomes.

Malpractice Claims of Internal Medicine Involving Diagnostic and System Errors in Japan.

Objectives Medical litigation resulting from diagnostic errors leads to lawsuits that are time-consuming, expensive, and psychologically burdensome. Few studies have focused on internists, who are more likely to make diagnostic errors than others, with assessments of litigation in terms of system and diagnostic errors. This study explored factors contributing to internists losing lawsuits and examined whether system or diagnostic errors were more important on the outcome. Methods Data regarding 419 lawsuits against internists closed between 1961 and 2017 were extracted from a public Japanese database. Factors affecting litigation outcomes were identified by comparative analysis focusing on system and diagnostic errors, environmental factors, and differences in initial diagnoses. Results Overall, 419 malpractice claims against internists were analyzed. The rate of lawsuits being decided against internists was high (50.1%). The primary cause of litigation was diagnostic errors (213, 54%), followed by system errors (188, 45%). The foremost initial diagnostic error was "no abnormality" (17.2%) followed by ischemic heart disease (9.6%) and malignant neoplasm (8.1%). Following cause-adjustment for loss, system errors were 21.37 times more likely to lead to a loss. Losses were 6.26 times higher for diagnostic error cases, 2.49 times higher for errors occurring at night, and 3.44 times higher when "malignant neoplasm" was the first diagnosis. Conclusions This study found that system errors strongly contributed to internists' losses. Diagnostic errors, night shifts, and initial diagnoses of malignant neoplasms also significantly affected trial outcomes. Administrators must focus on both system errors and diagnostic errors to enhance the safety of patients and reduce internists' risk exposure.

Medical malpractice cases in Hippocratic collection: a review and today's perspective.

AIM: The aim of the present paper is two-fold. First, it reviews the Hippocratic collection to identify instances related to the issue of medical malpractice and medical negligence. Second, it discusses the results viewed from today's perspective, in the context of contemporary theories of liability in malpractice cases. METHOD: A careful review of the books of Hippocratic collection was performed, as well as a narrative review of the currently available academic literature, focusing on topics of contemporary theories of liability in malpractice cases, which correspond roughly to the medical malpractice instances identified in Hippocratic collection. RESULTS: The Hippocratic authors touch on some issues which are essential to the contemporary theory of medical error and negligence, which, however, cannot yet unquestionably address these issues. Among others, they refer to errors that contemporarily might be viewed as technical human errors, errors of omission, or errors which were unavoidable in the context of applied ancient Greek medicine as is the case of injuries that are not based on physician's fault, or situations where the diagnosis of the particular disease or causal link between the physician's breach of duty and the damage suffered, was difficult or even impossible. Interestingly, the Hippocratic authors underscore some errors which might not be based on physician's fault. CONCLUSION: The passages mentioned in this paper, originating from the Hippocratic collection that refer to medical malpractice, imply an awareness of what is currently discussed as medical malpractice. This consideration may carry some weight, in particular when adopting a flexible traditionalist approach to the medical liability rules. HIPPOKRATIA 2019, 23(3): 99-105.

Lessons Learned From the Surgical Morbidity and Mortality Conference.

OBJECTIVE: The Morbidity and Mortality (M&M) conference is both a quality improvement and an educational conference. We sought to evaluate the educational and quality improvement value of different learners who attend the surgical M&M conference. Furthermore, we sought to evaluate if an educational intervention directed at medical students (MS) would improve their experience at this conference. DESIGN: Over a 2-month period, we used a third party, real-time audience polling software during 4 M&M conferences using questions concerning medical error, loop closure, learning value, applicability, and professionalism. After baseline data were obtained in Phase 1, MS attended a seminar on the subject of error as part of their orientation. Additionally, to facilitate their preparation, MS were supplied the cases to be presented at that week's conference, a few days before M&M. After this intervention, 3 additional M&M conferences were polled, as described above, as part of Phase 2. Differences between faculty (FAC) and MS experience were assessed by chi-square and ANOVA analyses as appropriate. Study was reviewed and received a waiver from the IRB. SETTING: Rhode Island Hospital, Providence, Rhode Island, a tertiary care academic teaching hospital of Brown University. PARTICIPANTS: Audience participants were informed of the voluntary nature of this survey and asked to self-identify as MS, PA/NPs, junior residents, senior residents, or FAC. In phase 1, there were an average of 289 ± 18.7 responses per session, while in phase 2 there were an average of 267 ± 9.29 responses per session. RESULTS: In Phase 1, when asked to characterize the error as practitioner, system, both practitioner and system or neither, FAC were more likely to assign error as practitioner error than MS (15/38 - 39.5% vs 6/41 - 14.6%, p = 0.021). This trend continued in Phase 2, FAC (19/33 - 57.6%) vs MS (8/29 - 27.6%), p = 0.011. In terms of whether learners felt the conference was useful to their education (5 point scale - strongly agree to strongly disagree) the FAC felt conference more useful than MS (4.0 vs 3.63 p = 0.005). This trend continued even after intervention (4.24 vs 3.71 p < 0.001). The FAC and MS had the same opinion as to the closure of the case being "education at conference," change in policy/procedure, both, neither, no response - average: 75, 3, 9, 6, 7%. Both the FAC and the MS felt the environment was professional (Phase 1: 4.42 v 4.18, p = 0.321)(Phase 2: 4.43 v 4.37, p = 0.1002). CONCLUSION: Despite an educational intervention, we found FAC and MS maintained very divergent opinions as to what is practitioner error, and system error, and FAC found the M&M discussion more educational than MS. To maximize learning for MS during surgical M&M more interventions are needed.

An evaluation by the Norwegian Health Care Supervision Authorities of events involving death or injuries in maternity care.

INTRODUCTION: We aimed to determine how serious adverse events in obstetrics were assessed by supervision authorities. MATERIAL AND METHODS: We selected cases investigated by supervision authorities during 2009-2013. We analyzed information about who reported the event, the outcomes of the mother and infant, and whether events resulted from errors at the individual or system level. We also assessed whether the injuries could have been avoided. RESULTS: During the study period, there were 303 034 births in Norway, and supervision authorities investigated 338 adverse events in obstetric care. Of these, we studied 207 cases that involved a serious outcome for mother or infant. Five mothers (2.4%) and 88 infants (42.5%) died. Of the 207 events reported to the supervision authorities, patients or relatives reported 65.2%, hospitals reported 39.1%, and others reported 4.3%. In 8.7% of cases, events were reported by more than 1 source. The supervision authority assessments showed that 48.3% of the reported cases involved serious errors in the provision of health care, and a system error was the most common cause. We found that supervision authorities investigated significantly more events in small and medium-sized maternity units than in large units. Eighteen health personnel received reactions; 15 were given a warning, and 3 had their authority limited. We determined that 45.9% of the events were avoidable. CONCLUSIONS: The supervision authorities investigated 1 in 1000 births, mainly in response to complaints issued from patients or relatives. System errors were the most common cause of deficiencies in maternity care.

Fuzzy Logic Based Controller for a Grid-Connected Solid Oxide Fuel Cell Power Plant.

This paper describes a mathematical model of a solid oxide fuel cell (SOFC) power plant integrated in a multimachine power system. The utilization factor of a fuel stack maintains steady state by tuning the fuel valve in the fuel processor at a rate proportional to a current drawn from the fuel stack. A suitable fuzzy logic control is used for the overall system, its objective being controlling the current drawn by the power conditioning unit and meet a desirable output power demand. The proposed control scheme is verified through computer simulations.

Variation of gross tumor volume and clinical target volume definition for lung cancer / 中华放射肿瘤学杂志

Objective To study the variation of gross tumor volume (GTV) and clinical target volume (CTV) definition for lung cancer between different doctors.Methods Ten lung cancer patients with PET-CT simulation were selected from January 2008 to December 2009.GTV and CTV of these patients were defined by four professors or associate professors of radiotherapy independently.Results The mean ratios of largest to smallest GTV and CTV were 1.66 and 1.65, respectively.The mean coefficients of variation for GTV and CTV were 0.20 and 0.17, respectively.System errors of CTV definition in three dimension were less than 5 mm, which was the largest in inferior and superior (0.48 cm,0.37 cm,0.32 cm;F=0.40,0.60,0.15,P=0.755,0.618,0.928).Conclusions The variation of GTV and CTV definition for lung cancer between different doctors exist.The mean ratios of largest to smallest GTV and CTV were less than 1.7.The variation was in hilar and mediastinum lymphanode regions.System error of CTV definition was the largest (<5 mm) in cranio-caudal direction.

A study of the changes in how medically related events are reported in Japanese newspapers.

Media reports of medically related events have a major effect on the healthcare community but there have been few detailed investigations conducted to investigate their content. The Nikkei Telecom 21 database was used to investigate the number of reports concerning medically related events between 1992 and 2007 in Japan's 5 national newspapers. For this period, both the total number of articles and the number of articles containing medically-related keywords were determined. The number of reports relating to medically related occurrences increased sharply from 1999 to 2000 and displayed a decrease from 2003 before increasing again in 2008. As of 2008, such reports account for 0.17% of total newspaper articles. The use of the word 'iryokago' (medical professional negligence or error) drastically increased in 1999 but showed a consistent decrease from 2004. On the other hand the frequency of reports relating to 'litigation' and 'punishment' increased rapidly in 1999 before leveling off. Despite this, the number of articles relating to medically related occurrences that were caused by doctor shortages and system errors increased sharply between 2006 and the present. Results indicate that the manner in which newspapers report medically related events is undergoing major changes.