Pathology Informatics Essentials for Residents: A Flexible Informatics Curriculum Linked to Accreditation Council for Graduate Medical Education Milestones (a secondary publication)

A Model Curriculum for an Emergency Medicine Residency Rotation in Clinical Informatics

Audience

This curriculum is designed for emergency medicine residents at all levels of training. The curriculum covers basic foundations in clinical informatics for improving patient care and outcomes, utilizing data, and leading improvements in emergency medicine.

Length of Curriculum

The curriculum is designed for a four-week rotation.

Introduction

The American College of Graduate Medical Education (ACGME) mandated that all Emergency Medicine (EM) residents receive specific training in the use of information technology.1,2 To our knowledge, a clinical informatics curriculum for EM residents does not exist. We propose the following standardized and reproducible educational curriculum for EM residents.

Educational Goals

The aim of this curriculum is to teach informatics skills to emergency physicians to improve patient care and outcomes, utilize data, and develop projects to lead change.3 These goals will be achieved by providing a foundational informatics elective for EM residents that follows the delineation of practice for Clinical Informatics outlined by the American Medical Informatics Association (AMIA) and the American Board of Preventive Medicine (ABPM).4-6.

Educational Methods

The educational strategies used in this curriculum include asynchronous learning via books, papers, videos, and websites. Residents attend administrative sessions (meetings), develop a project proposal, and participate in small group discussions.The rotation emphasizes the basic concepts surrounding clinical informatics with an emphasis on improving care delivery and outcomes, information systems, data governance and analytics, as well as leadership and professionalism. The course focuses on the practical application of these concepts, including implementation, clinical decision support, workflow analysis, privacy and security, information technology across the patient care continuum, health information exchange, data analytics, and leading change through stakeholder engagement.

Research Methods

An initial version of the curriculum was introduced to two separate institutions and was completed by three rotating resident physicians and one rotating resident pharmacist. A brief course evaluation as well as qualitative feedback was solicited from elective participants by the course director, via email following the completion of the course, regarding the effectiveness of the course content. Learner feedback was used to influence the development of this complete curriculum.

Results

The curriculum was graded by learners on a 5-point Likert scale (1=strongly disagree, 5 = strongly agree). The mean response to, "This course was a valuable use of my elective time," was 5 (sd=0). The mean response to, "I achieved the learning objectives," and "This rotation helped me understand Clinical Informatics," were both 4.75 (sd=0.5).

Discussion

Overall, participants reported that the content was effective for achieving the learning objectives. During initial implementation, we found that the preliminary asynchronous learning component worked less effectively than we anticipated due to a lower volume of content. In response to this, as well as resident feedback, we added significantly more educational content.In conclusion, this model curriculum provides a structured process for an informatics rotation for the emergency medicine resident that utilizes the core competencies established by the governing bodies of the clinical informatics specialty and ACGME.

Topics

Clinical informatics key concepts, including definitions, fundamental terminology, history, policy and regulations, ethical considerations, clinical decision support, health information systems, data governance and analytics, process improvement, stakeholder engagement and change management.

Pathology Residency Program Special Expertise Tracks Meet the Needs of an Evolving Field

Pathologists who enter the workforce must have a diverse skill set beyond that of clinical diagnostics alone. Anticipating this need, the Johns Hopkins Pathology Residency Program developed Special Expertise Tracks to enhance training in relevant subspecialty domains. Using a combination of discussions and surveys, we assessed: (1) our current resident curriculum; (2) perceived curricular strengths and needs; (3) resident career preferences and ultimate career paths; (4) perceived barriers to implementing an advanced elective curriculum; and (5) available departmental/institutional resources. Additionally, we utilized the Accreditation Council for Graduate Medical Education Pathology Milestones as a curricular guide. Six professional residency training Special Expertise Tracks were established: Education, Physician-Scientist Research, Informatics, Quality Improvement/Quality Assurance/Value-Based Care, Health Policy/Hospital Management and Global Health. After implementation in 2017, the Education track has had 4 residents complete the curriculum successfully; the Physician-Scientist Research track has had 2 residents and the Informatics and Global Health tracks have each had one resident successfully complete their respective curricula. Currently, 5 residents are pursuing the Education track, one is pursuing the Physician-Scientist Research track, one is pursuing the Informatics track, and 2 residents are pursuing the Global Health track. Five residents have completed long-term projects including developing several e-learning modules, an online free digital cytopathology atlas, peer-reviewed articles, book chapters, and books. The Johns Hopkins Pathology Resident Special Expertise Track program provides pathology residents an opportunity to gain meaningful experience and additional skills tailored to their individual career interests.

Smartpathk: a platform for teaching glomerulopathies using machine learning

BACKGROUND

With the emergence of the new coronavirus pandemic (COVID-19), distance learning, especially that mediated by information and digital communication technologies, has been adopted in all areas of knowledge and at all levels, including medical education. Imminently practical areas, such as pathology, have made traditional teaching based on conventional microscopy more flexible through the synergies of computational tools and image digitization, not only to improve teaching-learning but also to offer alternatives to repetitive and exhaustive histopathological analyzes. In this context, machine learning algorithms capable of recognizing histological patterns in kidney biopsy slides have been developed and validated with a view to building computational models capable of accurately identifying renal pathologies. In practice, the use of such algorithms can contribute to the universalization of teaching, allowing quality training even in regions where there is a lack of good nephropathologists. The purpose of this work is to describe and test the functionality of SmartPath^k, a tool to support teaching of glomerulopathies using machine learning. The training for knowledge acquisition was performed automatically by machine learning methods using the J48 algorithm to create a computational model of an appropriate decision tree.

RESULTS

An intelligent system, SmartPath^k, was developed as a complementary remote tool in the teaching-learning process for pathology teachers and their students (undergraduate and graduate students), showing 89,47% accuracy using machine learning algorithms based on decision trees.

CONCLUSION

This artificial intelligence system can assist in teaching renal pathology to increase the training capacity of new medical professionals in this area.

Informatics Training for Pathology Practice and Research in the Digital Era

Pathology informatics is a relatively new field with limited structured training programs for pathologists, especially for computer programming. Here, we describe our efforts to develop and implement a training program in the department of pathology at the University of Florida to meet these additional needs of current students as well as faculty and staff. Three one-credit courses were created using a flipped classroom design. Each course was assessed with a novel survey instrument, and the impact of the program was further measured 6 months after program completion with interviews of 6 participants and thematic analysis. Course objectives were met but with room for improvement. Major factors that had a positive impact included collaborative learning and real-world practice problems. Also, it improved communication with informatics colleagues as well as job task efficiency and effectiveness. Overall, the program raised awareness of informatics professional development and career path opportunities within pathology.