Addressing alert fatigue by reducing radiation oncology software alert volume.

2021 ◽  
Vol 39 (28_suppl) ◽  
pp. 261-261
Author(s):  
Itai Max Pashtan ◽  
Tara Kosak ◽  
Kevin Beaudette ◽  
Amy Buckman ◽  
Abigail Clark ◽  
...  

261 Background: Radiation therapists (RTTs) administer radiation treatments to patients with cancer. Treatments are delivered using linear accelerators (LINACs), operated by vendor specific software. Prior to delivering treatment, RTTs perform a time-out, and read aloud critical electronic communications (alerts) entered by members of the radiation oncology care team. Alerts are effective at communicating critical information, including treatment setup and imaging instructions, but can become a source of error due to alert fatigue when placed indiscriminately. Methods: A multicenter retrospective review of alert use per patient was conducted in 4 radiation oncology centers with a total of 6 LINACs. Alert usage was reviewed pre-intervention for 40 randomly selected patients using manual chart review. Each alert was reviewed for frequency and utilization. In attempt of improving communication and reducing alert fatigue, a multidisciplinary process improvement working group (with Radiation Oncologists, RTTs, nursing, physicists, and administration) was formed to review the utilization of alerts in our department and propose interventions. Three months after intervention, an additional 40 chart review was performed. Our aim was to reduce the volume of alerts by 20% within 3 months. A 2-tail t-test was used for statistical analysis. Results: Process improvements were implemented to reduce the volume of alerts per patient. Interventions included 1) defining an alert for all departmental staff, 2) creating guidelines for appropriate utilization of alerts, 3) routing communications not critical to RTTs at the time of radiation treatment administration through other channels, and 4) training staff as to the above. The pre-intervention review yielded 239 alerts. Post-intervention, there were 173 alerts, a reduction of 27% (p =.008). Conclusions: This practice change reduced average alert volume by 27%. As a result, alerts which are critical to safe treatment delivery by RTTs (i.e. daily setup alerts), became more heavily represented. Other alerts, which could be communicated effectively in other ways (i.e. OTVs [weekly on treatment visit with Radiation Oncologist]), were eliminated. By decreasing alert volume, the risk of RTT alert fatigue is reduced, communication improved, and treatment safety enhanced.[Table: see text]

2019 ◽  
Vol 37 (27_suppl) ◽  
pp. 236-236
Author(s):  
Seth D. Frey ◽  
Karen E. Hoffman ◽  
Anuja Jhingran ◽  
Mary Frances McAleer ◽  
Bruce D. Minsky ◽  
...  

236 Background: The MD Anderson Cancer Network includes 29 distinct Radiation Oncology facilities spread across metropolitan Houston area locations, national partnerships, and international affiliates. Standard performance indicators (PIs) were developed to monitor the quality and safety of radiation treatment at these facilities spread across the globe. Methods: Stakeholders from Radiation Oncology nursing, dosimetry, physics, radiation therapy, and clinical operations identified PIs that measure safe, efficient, and effective radiation oncology care. PIs are collected monthly from each facility and are reported in a scorecard that includes performance goals. The appropriateness and effectiveness of the PIs are reviewed annually to determine if PIs need to be added, removed, or revised. Results: As the network expanded, scorecard use expanded from 11 facilities in 2013 to 29 facilities in 2019. Select PIs are summarized in the table. Scorecard composition has evolved over time. PIs such as completion of simulation orders and treatment planning directives were removed once consistently reaching 100% after improved monitoring, process improvements, and implementation of hard stops. The scorecard has been especially useful when onboarding new facilities, as evidenced by PIs increasingly meeting performance thresholds in the first year after joining the network. For example, one facility increased PI compliance from 61% to 100% the first year after joining the network. Conclusions: It is feasible to develop and implement a performance indicator scorecard across a large radiation oncology network. The scorecard permits timely assessment of quality indicators, provides oversight, and is effective in stabilizing operations at newly on-boarded radiation oncology practices. [Table: see text]


2018 ◽  
Vol 30 (3) ◽  
pp. 110-115
Author(s):  
Kimberly Pelland ◽  
Emily Cooper ◽  
Alyssa DaCunha ◽  
Kathleen Calandra ◽  
Rebekah Gardner

Medicare requires that home health patients have a face-to-face visit with a physician when services are initiated and that physicians provide certification of this encounter before home health agencies (HHAs) can be reimbursed. We assessed an intervention to increase completion of face-to-face certification by hospital physicians at discharge using a retrospective chart review. We found a shift in the source and timeliness of certification among intervention hospitals. Pre-intervention, hospital physicians completed face-to-face certifications for 18.7% of patients and community physicians completed certifications for 47.2% ( p < .001), compared with 44.4% and 24.3% ( p < .001) post-intervention. Shifting the source of certification from community to hospital physicians helped HHAs by reducing the burden of tracking down certification from community physician offices and facilitating timely care for recently hospitalized patients.


2021 ◽  
Vol 17 (6) ◽  
pp. 445-453
Author(s):  
Angelina Vascimini, PharmD ◽  
Kevin Duane, PharmD ◽  
Stacey Curtis, PharmD

Objective: The opioid epidemic is frequently discussed including the staggering numbers involved with coprescribing opioids and benzodiazepines associated with death. Community pharmacists, with the help of a system intervention, have a unique opportunity to help reduce the coprescribing of benzodiazepines and opioids and reduce the associated risk of death.Design: A single center retrospective chart review was conducted after a system intervention was placed, as a quality improvement project, from November 2019 to May 2020.Setting: Independent community pharmacy.Patients/participants: Data included demographics, dosing of each medication pre- and post-intervention, and naloxone status.Main outcome(s) measures: The primary outcome evaluated was reduction in dose/discontinuation of these prescriptions. The secondary outcome evaluated was the number of naloxone prescriptions ordered per protocol and picked up.Results: The primary outcome did not show statistical difference; however, the secondary outcomes showed statistical significance.Conclusion: In conclusion, community pharmacists, with the help of evolving technologies, can reduce harm associated with the coprescribing of benzodiazepines and opioids.


2021 ◽  
Vol 10 (4) ◽  
pp. 3199-3201
Author(s):  
Anurag A. Luharia

Advancements in Radiation Oncology from conventional to 3D conformal radiotherapy treatment demands expertise in many steps of radiation planning, the horizon of radiologist is now expanded by many folds and made radiologist as a integral part of the Radiation Oncology Department. A critical aspect of radiotherapy treatment planning (RTP) is determining how to deliver the required radiation dosage to cancer cells while minimising the exposure to normal tissue for which the prerequisite is identification and accurate delineation of tumour volume as well as normal structure resulted in an increase in the therapeutic ratio by reducing complication associated with normal tissue and allowing for higher target dosage and better local control. In modern radiotherapy CT images are the standard set of imaging modality required for the radiotherapy planning along with it many other modalities like MRI, PET or DSA are used by superimposing on original CT images in order to contour or delineate the structures defined by International Commission on Radiation Units and Measurements in Reports 50, 62 and 71 (ICRU) for radiotherapy planning which comprise of Gross tumour volume, clinical target volume, planning target volume, irradiated volume, Internal target volume and the normal structures as Organ at risk. It is self-evident that the contribution of a radiologist with a thorough knowledge of the development of these new modalities is critical for optimising the potential of these novel modes of radiation treatment delivery.


2019 ◽  
Vol 6 (Supplement_2) ◽  
pp. S171-S171
Author(s):  
Anne Abbate ◽  
Lisa Chirch ◽  
Michael Christopher. Thompson ◽  
Dorothy Wakefield ◽  
Faryal Mirza ◽  
...  

Abstract Background Recommendations on screening HIV-infected (+) patients for bone disease exist. We sought to characterize awareness of and adherence to HIV-specific recommendations and assess risk factors for fracture in this population. Methods Primary care provider (PCP) and ID specialist awareness of screening recommendations was assessed using an anonymous electronic survey. We conducted interviews of 45 HIV+ patients and chart review. We calculated risk using the fracture risk assessment tool (FRAX). Email notifications were sent if an indication dual-energy x-ray absorptiometry (DXA) scans was identified. Chart review was repeated 12 months later to assess response. Statistical methods included chi-square and Fisher’s exact test for categorical data, and t-tests or Wilcoxon rank-sum tests for continuous data. A multivariate logistic regression examined the relationship between adult fragility fractures and covariates. Results No immunologic or virologic factors or exposure to specific antiretroviral therapies (ART) were associated with FFX (Table 1). FRAX score (hip, major osteoporotic fracture) successfully predicted FFX history (P = 0.002, P = 0.001, respectively). Overall, 35 (78%) patients qualified for DXA; 23 (66%) were men, only 8 (23%) had a previous DXA. Following provider notification, an additional 5 patients had DXA ordered. DXA was recommended for all patients with FFX, compared with 68% without a fracture (P = 0.02). In logistic regression modeling, increasing age, male sex, and months of ART therapy were associated with FFX (Table 2). Twenty-seven providers responded to the pre-intervention survey, of whom only 35% were aware of screening recommendations for HIV+ patients. Of the 18 providers who responded post-intervention, 63% were aware of these recommendations (Table 3). Conclusion A brief educational intervention resulted in increased awareness of HIV-specific screening recommendations, but this translated into adherence to a lesser extent. HIV+ men were more likely to have a history of fragility fracture compared with females. No specific ART or immunologic marker predicted fracture risk or history. Fostering a greater understanding of unique characteristics and risks in this population is crucial to ensure appropriate preventive care. Disclosures All authors: No reported disclosures.


2020 ◽  
Vol 37 (7) ◽  
pp. 532-536
Author(s):  
Rachel Elisabeth Lake ◽  
Lori Franks ◽  
Barry Meisenberg

Background: Advanced care planning through Physician Order For Life-Sustaining Therapies (POLST) has been encouraged by professional societies. But these documents may be overlooked or ignored during hospitalization and “full-code” orders written as a default, putting patients at risk for unwanted resuscitation. After 2 instances of unwanted resuscitation in which limited support POLSTs were ignored, a series of improvements were implemented. This study measured the effectiveness of those steps in reducing POLST code status discrepancy. Methods: Pre–post implementation chart review of randomly chosen medical admissions to determine the rate of discordance between POLST orders (when present) and admission code status orders. Physician Order For Life-Sustaining Therapies were classified as either “full” or “limited” based on orders for life-sustaining therapies on the form. Chi-square tests or Fisher exact tests were performed on binary data to identify statistically significant differences at the 95% confidence level between pre- and postimplementation admissions. Results: In all, 444 preimplementation and 448 postimplementation admissions were evaluated. Discrepant code status orders for those with limited POLST fell from 10 (22.7%) of 44 preimplementation to 3 (4.6%) of 65 after implementation, P = .006. The number of documented code status discussions in admission notes increased from 19.6% to 63.6% ( P < .001). The median age of all POLST in the chart was 1.2 years. Conclusions: Among those patients with limited POLST orders, discrepant full-code orders increase the potential for unwanted resuscitation. Multistep improvements including documentation templates improved the process of verifying end-of-life wishes and increased meaningful code status discussions. The rate of discrepant orders fell in response to process improvements.


Oncology ◽  
2020 ◽  
pp. 1-11
Author(s):  
Tucker J. Netherton ◽  
Carlos E. Cardenas ◽  
Dong Joo Rhee ◽  
Laurence E. Court ◽  
Beth M. Beadle

<b><i>Background:</i></b> The future of artificial intelligence (AI) heralds unprecedented change for the field of radiation oncology. Commercial vendors and academic institutions have created AI tools for radiation oncology, but such tools have not yet been widely adopted into clinical practice. In addition, numerous discussions have prompted careful thoughts about AI’s impact upon the future landscape of radiation oncology: How can we preserve innovation, creativity, and patient safety? When will AI-based tools be widely adopted into the clinic? Will the need for clinical staff be reduced? How will these devices and tools be developed and regulated? <b><i>Summary:</i></b> In this work, we examine how deep learning, a rapidly emerging subset of AI, fits into the broader historical context of advancements made in radiation oncology and medical physics. In addition, we examine a representative set of deep learning-based tools that are being made available for use in external beam radiotherapy treatment planning and how these deep learning-based tools and other AI-based tools will impact members of the radiation treatment planning team. <b><i>Key Messages:</i></b> Compared to past transformative innovations explored in this article, such as the Monte Carlo method or intensity-modulated radiotherapy, the development and adoption of deep learning-based tools is occurring at faster rates and promises to transform practices of the radiation treatment planning team. However, accessibility to these tools will be determined by each clinic’s access to the internet, web-based solutions, or high-performance computing hardware. As seen by the trends exhibited by many technologies, high dependence on new technology can result in harm should the product fail in an unexpected manner, be misused by the operator, or if the mitigation to an expected failure is not adequate. Thus, the need for developers and researchers to rigorously validate deep learning-based tools, for users to understand how to operate tools appropriately, and for professional bodies to develop guidelines for their use and maintenance is essential. Given that members of the radiation treatment planning team perform many tasks that are automatable, the use of deep learning-based tools, in combination with other automated treatment planning tools, may refocus tasks performed by the treatment planning team and may potentially reduce resource-related burdens for clinics with limited resources.


2020 ◽  
Vol 16 (4) ◽  
pp. e395-e404
Author(s):  
John J. Cuaron ◽  
Erin F. Gillespie ◽  
Daniel R. Gomez ◽  
Atif J. Khan ◽  
Borys Mychalczak ◽  
...  

PURPOSE: To evaluate physician-reported assessments of an established faculty orientation program for new radiation oncology physicians at a large academic center and to prospectively analyze the effects of an onboarding improvement program based on those assessments. MATERIALS AND METHODS: An anonymous survey was designed and distributed to physicians new to the department who received onboarding orientation between 2013 and 2017. Survey questions addressed the comprehensiveness, effectiveness, and utility of various orientation activities. On the basis of the survey results, an improved onboarding program was designed and implemented for nine new faculty members between May 2018 and November 2018. A post-intervention survey querying topics similar to those in the pre-intervention survey was distributed to the new faculty members. Descriptive statistics were generated to compare the pre-intervention and post-intervention groups. RESULTS: The overall rate of survey completion was 85% (17 of 20). The intervention program markedly improved physician assessment of comprehensiveness and effectiveness of the onboarding process. Physicians strongly and consistently identified mentor shadowing, on-the-job training, and other faculty mentorship activities as the most important components of an effective onboarding experience. CONCLUSION: An enhanced, tailored, person-oriented, formal onboarding improvement program significantly increased physician assessment scores of comprehensiveness and effectiveness of the faculty onboarding process. This model can serve as a framework for increasing physician preparedness, encouraging early physician mentorship, and ensuring a universal standard of quality across large practices.


2012 ◽  
Vol 30 (34_suppl) ◽  
pp. 177-177
Author(s):  
Tonia Forte ◽  
Julie Klein-Geltink ◽  
Rami Rahal ◽  
Gina Lockwood ◽  
Heather E. Bryant ◽  
...  

177 Background: As part of the Canadian Partnership Against Cancer’s (CPAC) System Performance initiative, indicators measuring treatment practice patterns across the country are now available, offering the ability to compare against evidence-based guidelines. We report on the percentage of patients with stage II and III rectal cancer receiving pre-operative radiation treatment (RT) based on an analysis of Canadian administrative data. A retrospective chart review was conducted to examine reasons for non-treatment with RT, set performance targets, and inform quality improvements. Methods: Data on the percentage of stage II and III rectal cancer cases receiving preoperative RT were obtained from five provincial cancer registries using a standardized methodology for 2,854 cases diagnosed between 2007 and 2008, with 2009 data soon to be available. A retrospective chart review was conducted in five provinces on a random sample of 383 patients diagnosed in 2008 to examine reasons for non-referral and non-treatment. Results: Based on administrative data, an average of 45% of cases received RT preceding surgical resection for stage II or III rectal cancer, ranging from 36% to 48% across provinces. Preoperative RT rates were similar for men and women, but were lower in older patients. From 2007 to 2008, the percentage of patients receiving pre-operative RT increased in all provinces. Results from the chart review showed that, of those who did not receive preoperative RT, 33% were not referred by a surgeon to an oncologist. The most common documented reasons for non-referral were co-morbidities (26%) and patient choice (7%). Among patients referred to an oncologist, 42% were treated with preoperative RT, 30% were treated with post-operative RT and 28% received no treatment. Among those receiving no treatment, 29% were seen only by a medical oncologist, and 18% were not treated due to patient choice. Conclusions: Findings are being used to develop national targets for treatment rates and, working with national oncologist associations, to develop quality improvement strategies, including patient education efforts to promote informed decisions on treatment options.


2019 ◽  
Vol 37 (27_suppl) ◽  
pp. 1-1
Author(s):  
Ethan B. Ludmir ◽  
Karen E. Hoffman ◽  
Anuja Jhingran ◽  
Mee-Chung Puscilla Ip ◽  
Seth D. Frey ◽  
...  

1 Background: With rapid community expansion of academic cancer centers, ensuring high-quality delivery of care across all affiliated network sites is critical. Here we report the results of a radiation oncology peer-review system implemented across a large multinational cancer network. Methods: Weekly radiation oncology peer-review conferences were held between network centers and the main campus of a major cancer system; results of standardized peer-review for each case were recorded. Peer-review resulted in each case being scored as concordant or nonconcordant on initial review; nonconcordance was based on institutional guidelines, national standards, and/or expert opinion. Results: Between 2014 and 2018, 28,730 patient radiation treatment plans underwent peer-review at 10 network centers. The peer-review case volume increased over this study period, from 1,420 cases in 2014 to 9,112 in 2018, concomitant with network expansion. Examining cases reviewed in 2018 (N = 9,112), the most-commonly reviewed cases by disease site were breast (28.9%), head and neck (HN; 13.9%), and lung (12.6%). Of all cases in 2018, 452 (5.0%) were deemed nonconcordant. Higher nonconcordance rates were noted for HN cases (14.0%), and lower rates for lung cases (2.3%; p < 0.001). Of nonconcordant HN cases, the majority (69.5%) were deemed nonconcordant based on target volume delineation. Of nonconcordant breast cases, most (67.1%) were nonconcordant based on radiation field design. For centers added to the network during the study period, we observed a significant decrease in the nonconcordance rate over time after joining the network (average annual decrease of 5.4% in nonconcordant cases; p < 0.001). Conclusions: These data demonstrate the feasibility and efficacy of a large-scale multinational cancer network radiation oncology weekly peer-review program. Nonconcordance rates were highest for HN cases, primarily due to target volume delineation. With improved nonconcordance rates for newly-added network centers, these results offer the promise of improving the quality of radiotherapy delivery across an extensive cancer network with a major academic center as the nucleus.


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