The development of Seattle Children's enterprise analytics program was facilitated by in-depth interviews with ten key leaders. The leadership roles explored in interviews included Chief Data & Analytics Officer, Director of Research Informatics, Principal Systems Architect, Manager of Bioinformatics and High Throughput Analytics, Director of Neurocritical Care, Strategic Program Manager & Neuron Product Development Lead, Director of Dev Ops, Director of Clinical Analytics, Data Science Manager, and Advance Analytics Product Engineer. The interviews, featuring unstructured conversations, sought to understand the experiences of leadership in establishing enterprise analytics at Seattle Children's.
By adopting an entrepreneurial mindset and agile development processes, characteristic of startup environments, Seattle Children's has developed a sophisticated enterprise analytics ecosystem which is fully integrated into their daily procedures. Projects of high analytics value were approached iteratively by teams, specifically Multidisciplinary Delivery Teams, that were part of integrated service lines. By setting project priorities, determining project budgets, and overseeing the governance of their analytic endeavors, service line leadership and the Delivery Team leads collectively ensured the team's achievement. click here Seattle Children's has benefited from an organizational framework that has facilitated the development of a broad spectrum of analytical tools, enhancing both operational effectiveness and patient care.
Seattle Children's exemplary near real-time analytics ecosystem showcases a leading healthcare system's capacity to create a robust and scalable solution, yielding significant value from the vast amount of health data encountered today.
The analytics ecosystem developed at Seattle Children's exemplifies how a leading healthcare system can build a strong, scalable, and near real-time data analytics framework, generating substantial value from the current deluge of health information.

Direct benefits for participants are a concomitant outcome of clinical trials, alongside the generation of critical evidence for guiding decision-making. Clinical trials, unfortunately, frequently fail to progress, encountering challenges in participant recruitment and high expenses. The disconnection between clinical trials creates a problem with trial conduct by preventing the quick dissemination of data, obstructing the development of useful insights, impeding the implementation of targeted improvements, and obstructing the identification of knowledge gaps. Other areas of healthcare have explored the utilization of a learning health system (LHS) as a model for sustained improvement and learning. Clinical trial performance could be markedly improved through the implementation of an LHS approach, fostering continual enhancements in trial procedures and operational efficiency. click here Trial data-sharing infrastructure, a continuous monitoring of trial recruitment and related success factors, and the implementation of specific trial improvements are likely key components of a Trials Learning Health System reflecting a learning cycle, enabling consistent advancements in trial performance. By employing a Trials LHS, clinical trials can be viewed as a unified system, leading to improvements in patient care, advancements in treatment, and cost reductions for all involved parties.

Academic medical centers' clinical departments are focused on delivering clinical care, providing education and training, fostering faculty growth, and promoting scholarly investigation and excellence. click here Improving the quality, safety, and value proposition of care delivery has become a more pressing demand for these departments. Sadly, a critical gap exists in the number of clinical faculty members with expertise in improvement science across many academic departments, which impedes their capacity to lead initiatives, provide instruction, and create original research. Within an academic medical department, this article explores a program's architecture, actions, and initial outcomes in promoting scholarly work.
The University of Vermont Medical Center's Department of Medicine initiated a Quality Program, aiming to enhance care delivery, foster educational opportunities, and cultivate improvement science scholarship. Students, trainees, and faculty find the program to be a crucial resource center that provides comprehensive educational and training opportunities, analytic support, consultation in design and methodology, and support for project management initiatives. Through the integration of education, research, and care delivery, it learns, applies, and improves healthcare, based on evidence.
Throughout the initial three-year period of complete implementation, the Quality Program consistently aided an average of 123 projects each year. These endeavors included future-focused clinical quality enhancement projects, retrospective reviews of existing clinical programs and methods, and the development and evaluation of educational materials. A total of 127 scholarly products, including peer-reviewed publications and abstracts, posters, and presentations at local, regional, and national conferences, have been the outcome of the projects.
To advance a learning health system's objectives within academic clinical departments, the Quality Program offers a practical model, supporting care delivery improvement, training, and scholarship in improvement science. Dedicated departmental resources hold promise for improving care delivery, fostering academic success in improvement science for faculty and trainees.
By serving as a practical model, the Quality Program can drive improvement in care delivery, facilitate training in improvement science, and encourage scholarship, thereby promoting the objectives of a learning health system within an academic clinical department. Dedicated departmental resources have the capacity to upgrade care delivery, while also nurturing the academic achievement of faculty and trainees, focusing particularly on advancements in improvement science.

The provision of evidence-based practice is a crucial component of learning health systems (LHSs). Evidence reports, a product of the rigorous systematic reviews performed by the Agency for Healthcare Research and Quality (AHRQ), aggregate existing evidence on specific areas of interest. In spite of the AHRQ Evidence-based Practice Center (EPC) program's effort in creating high-quality evidence reviews, their application and usability in practice are not automatically ensured or promoted.
To ensure the applicability of these reports to local health systems (LHSs) and to advance the circulation of evidence, the Agency for Healthcare Research and Quality (AHRQ) awarded a contract to the American Institutes for Research (AIR) and its Kaiser Permanente ACTION (KPNW ACTION) partner to formulate and deploy web-based mechanisms tailored to overcome the obstacles in disseminating and putting into practice evidence-practice reports in local health settings. Between 2018 and 2021, this work's accomplishment was facilitated by a co-production approach, which included three phases: activity planning, co-design, and implementation. We present the procedures used, the acquired outcomes, and the bearing on future projects.
For increased awareness and accessibility of AHRQ EPC systematic evidence reports, LHSs can utilize web-based tools. These tools provide clinically relevant summaries with clear visual representations, formalizing and enhancing LHS evidence review infrastructure, facilitating the creation of system-specific protocols and care pathways, improving practice at the point of care, and enabling training and education.
Implementation of co-designed tools, facilitated carefully, created a way to improve the accessibility of EPC reports, and encourages broader use of systematic review results to support evidence-based practices in local health services.
Co-designing these tools and the facilitated deployment of them created an approach to make EPC reports more readily accessible, thus allowing wider use of systematic review results for the support of evidence-based practices in local health systems.

A cornerstone of a contemporary learning health system, enterprise data warehouses (EDWs), store clinical and other system-wide data, facilitating research, strategic planning, and quality enhancement endeavors. In conjunction with the long-standing relationship between Northwestern University's Galter Health Sciences Library and the Northwestern Medicine Enterprise Data Warehouse (NMEDW), a complete clinical research data management (cRDM) program was implemented to strengthen the clinical data workforce and extend the scope of library-based support services for the institution.
Clinical database architecture, clinical coding standards, and the formulation of research questions into queries for effective data extraction are all part of the training program's curriculum. This program's description, encompassing its partners and driving forces, along with its technical and societal components, the incorporation of FAIR principles into clinical data research workflows, and the potential long-term impact to serve as a model for clinical research, with support for library and EDW partnerships at other institutions.
This training program has facilitated a stronger link between our institution's health sciences library and clinical data warehouse, supporting researchers more effectively and boosting the efficiency of training workflows. Researchers are provided with the capacity to improve the reproducibility and reusability of their research outputs via instruction on best practices for preservation and distribution, resulting in positive impacts for both the researchers and the institution. Publicly available training resources are now provided for those supporting this critical need at other institutions, enabling them to enhance our collaborative efforts.
Supporting training and consultation programs in clinical data science is an important role played by library-based partnerships within learning health systems. Galter Library and the NMEDW's cRDM program underscores the significance of collaborative partnerships, expanding upon past collaborations to deliver comprehensive clinical data support services and training throughout the campus.