The case for information fiduciaries: The implementation of a data ethics checklist at Seattle Children's Hospital.

There is little debate about the importance of ethics in health care, and clearly defined rules, regulations, and oaths help ensure patients' trust in the care they receive. However, standards are not as well established for the data professions within health care, even though the responsibility to treat patients in an ethical way extends to the data collected about them. Increasingly, data scientists, analysts, and engineers are becoming fiduciarily responsible for patient safety, treatment, and outcomes, and will require training and tools to meet this responsibility. We developed a data ethics checklist that enables users to consider the possible ethical issues that arise from the development and use of data products. The combination of ethics training for data professionals, a data ethics checklist as part of project management, and a data ethics committee holds potential for providing a framework to initiate dialogues about data ethics and can serve as an ethical touchstone for rapid use within typical analytic workflows, and we recommend the use of this or equivalent tools in deploying new data products in hospitals.

But what do participants want? Comment on the "Data Sharing in Psychology" special section (2018).

This commentary addresses a recent special section on data sharing (i.e., open data) in the February-March 2018 American Psychologist. In 4 articles, the authors outline how open data can positively impact psychology and provide guidelines for adopting open data practices, which we believe is to be commended. However, this special issue has not acknowledged a crucial concern in the open data debate: the views and desires of participants. Participants are the backbone of psychological research and an important stakeholder in open data issues. We review research that has studied participants' opinions of open data and outline concerns regarding open data raised by some groups of participants. We conclude with recommendations, including a call to psychological researchers to move beyond opinion and instead to empirically examine the impact of open data. We believe psychology is a discipline uniquely poised to execute these recommendations and guide researchers' understandings of how to appropriately and ethically implement open data practices across multiple disciplines. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Evaluating New Skill Sets for Performance Improvement: Human Factors as a Case Study.

New skill sets and improvement disciplines are constantly arising across the vast industrial and academic landscape of modern economies. Prescient hospital administrators are routinely searching for new and innovative ways to improve care, care delivery, safety, quality, and access. But, it can be challenging to identify those emerging skill sets, which will likely have lasting effect and will provide strong return on investment, from passing fads with little capacity to move performance benchmarks for a hospital. Here, we present a rubric for investigating new skill sets, using The Children's Hospital of Philadelphia's investigation into human factors engineering as a case study, and determining whether they can support hospital operations and improvements while providing sufficient return to justify the expense and challenge of incorporating ideas and methods into a quality and performance improvement environment.

Managing Disruptions to Patient Flow Capacity: Rapid-Cycle Improvement in a Pediatric Cardiac Procedure Complex.

BACKGROUND: Managing service disruptions is a challenge in every health care environment. Discrete event simulation (DES)--a computer modeling tool used to build in silico (that is, in a digital computer) testbeds for potential changes in complex systems--has been deployed in health care for research and quality improvement (QI), specifically in surgical suite management. A strategy for managing a 6-week planned service disruption needed to be enacted 12 weeks after the announcement, in late October 2014, of the closure of the Hybrid Suite (operating room/catheterization laboratory) for renovation, at The Children's Hospital of Philadelphia's Cardiac Center's Cardiac Operative and Imaging Complex (COIC). METHODS: A previously developed DES was queried to determine theoretical system throughput capacity during the temporary disruption. On the basis of this analysis, a rapid improvement event (RIE) was enacted to address systemic challenges to meeting demand with diminished capacity. During the RIE, system stakeholders (physicians, nurses, and technicians) engaged with performance improvement personnel to identify potential improvements, test those changes in rapid succession, and then implement successful candidates for the disruption. RESULTS: First-case start time was 43 minutes earlier during the period of diminished capacity. Turnaround time between cases was reduced by 23 minutes. Length of day increased by 1 hour, in accordance with simulated predictions. System throughput was 138 patients during the disruption, compared with 135 patients during the same period the previous year. CONCLUSION: A combination of systems analysis and QI methodologies enabled the Cardiac Center to meet demand during a six-week period of diminished capacity. Planned, temporary service disruptions, which must be managed by clinical personnel, can be addressed proactively with promising results.

Impact of Open Data Policies on Consent to Participate in Human Subjects Research: Discrepancies between Participant Action and Reported Concerns.

Research outlets are increasingly adopting open data policies as a requisite for publication, including studies with human subjects data. We investigated whether open data policies influence participants' rate of consent by randomly assigning participants to view consent forms with and without discussion of open data policies. No participants declined to participate, regardless of condition, nor did rates of drop-out vs. completion vary between conditions. Furthermore, no significant change in potential consent rates was reported when participants were openly asked about the influence of open data policies on their likelihood of consent. However, follow-up analyses indicated possible poor attention to consent forms, consistent with previous research. Moreover, thematic analysis of participants' considerations of open data policy indicated multiple considerations such as concerns regarding confidentiality, anonymity, data security, and study sensitivity. The impact of open data policies on participation raises complex issues at the intersection of ethics and scientific innovation. We conclude by encouraging researchers to consider participants as stakeholders in open data policy and by providing recommendations for open data policies in human subjects research.

Sensitivity of diabetic retinopathy associated vision loss to screening interval in an agent-based/discrete event simulation model.

OBJECTIVE: To examine the effect of changes to screening interval on the incidence of vision loss in a simulated cohort of Veterans with diabetic retinopathy (DR). This simulation allows us to examine potential interventions without putting patients at risk. METHODS: Simulated randomized controlled trial. We develop a hybrid agent-based/discrete event simulation which incorporates a population of simulated Veterans--using abstracted data from a retrospective cohort of real-world diabetic Veterans--with a discrete event simulation (DES) eye clinic at which it seeks treatment for DR. We compare vision loss under varying screening policies, in a simulated population of 5000 Veterans over 50 independent ten-year simulation runs for each group. RESULTS: Diabetic Retinopathy associated vision loss increased as the screening interval was extended from one to five years (p<0.0001). This increase was concentrated in the third year of the screening interval (p<0.01). There was no increase in vision loss associated with increasing the screening interval from one year to two years (p=0.98). CONCLUSIONS: Increasing the screening interval for diabetic patients who have not yet developed diabetic retinopathy from 1 to 2 years appears safe, while increasing the interval to 3 years heightens risk for vision loss.

Enhancing entrance into PTSD treatment for post-deployment veterans through collaborative/integrative care.

High rates of posttraumatic stress disorder (PTSD) among post-deployment veterans and the associated long-term consequences highlight the importance of early identification and treatment. The Veterans Health Administration (VHA)'s Primary Care Mental Health Integration (PCMHI) program aims to increase identification and access to care for veterans with mental illness, decrease stigma, improve continuity of care, and the efficiency of healthcare utilization. This project examines PCMHI's progress towards these goals within the Operation Iraqi Freedom/Operation Enduring Freedom (OEF/OIF) population. We examined data from consults to the OEF/OIF PTSD clinic for 18 months. PCMHI placed 129 consults and 91 (70.5%) were completed. Veterans referred by PCMHI tended to have increased consult completion in specialty care, higher rates of confirmed PTSD, however, no significant differences in reported PTSD symptoms, or follow-up visits in the OEF/OIF PTSD clinic compared to Veterans referred from the hospital at large. PCMHI potentially preserve resources, increases continuity of care, and increases treatment access for OEF/OIF/OND veterans.

Commentary: the role of mentored internships for systems engineering in improving health care delivery.

The authors advise the adoption of mentored internships in systems engineering, conducted at academic hospitals, directed by physicians, epidemiologists, and health administrators and overseen by faculty at attendant schools of engineering. Such internships are anticipated to directly address the immediate objectives of administrators and clinicians. Additionally, this affords future generations of health care engineers the opportunity to learn the language and methodology of the medical sciences to provide a common ground for the analysis and understanding of medical systems. In turn, this should foster collaboration between the principal stakeholders in health care delivery--practitioners, administrators, engineers, and researchers--in the collective efforts to improve the quality of services provided.

The use of queueing and simulative analyses to improve an overwhelmed pharmacy call center.

Like many others, the St. Louis Veterans Administration Medical Center (VAMC) Pharmacy help desk receives far more calls than can be processed by current staffing levels. The objective of the study is to improve pharmaceutical services provided by the call center, by using queueing theory and discrete event dynamic simulation to analyze incoming telephone traffic to the help desk. Queueing and simulation models using both archival and hand-gathered data over a 1-year period were created, compared, and presented in order to determine the minimum quantities of staff needed to reach the desired service threshold. The simulation model was validated in comparison with real-world data. Results suggest that telephone traffic congestion in this setting may be alleviated by increasing the number of staff responsible for telephone services from 2 to 6 throughout the week, with an additional one serving on Monday. Both queueing and simulative models can be used to improve overwhelm pharmacy call centers, by determining the theoretical minimal staff needed to reach a service threshold.

Scheduling the resident 80-hour work week: an operations research algorithm.

OBJECTIVE: The resident 80-hour work week requires that programs now schedule duty hours. Typically, scheduling is performed in an empirical "trial-and-error" fashion. However, this is a classic "scheduling" problem from the field of operations research (OR). It is similar to scheduling issues that airlines must face with pilots and planes routing through various airports at various times. The authors hypothesized that an OR approach using iterative computer algorithms could provide a rational scheduling solution. METHODS: Institution-specific constraints of the residency problem were formulated. A total of 56 residents are rotating through 4 hospitals. Additional constraints were dictated by the Residency Review Committee (RRC) rules or the specific surgical service. For example, at Hospital 1, during the weekday hours between 6 am and 6 pm, there will be a PGY4 or PGY5 and a PGY2 or PGY3 on-duty to cover Service "A." A series of equations and logic statements was generated to satisfy all constraints and requirements. These were restated in the Optimization Programming Language used by the ILOG software suite for solving mixed integer programming problems. RESULTS: An integer programming solution was generated to this resource-constrained assignment problem. A total of 30,900 variables and 12,443 constraints were required. A total of man-hours of programming were used; computer run-time was 25.9 hours. A weekly schedule was generated for each resident that satisfied the RRC regulations while fulfilling all stated surgical service requirements. Each required between 64 and 80 weekly resident duty hours. CONCLUSIONS: The authors conclude that OR is a viable approach to schedule resident work hours. This technique is sufficiently robust to accommodate changes in resident numbers, service requirements, and service and hospital rotations.