Fellows-in-training (FITs) and early career professionals (ECPs) are currently practicing in a complex health care environment. Indeed, there are multiple foci of interaction in a 21st-century academic medical center (AMC) extending beyond the traditional commitment to the tripartite mission of patient care, education, and research (1). These include interactions with community medical practices, post-acute care facilities, health information technology vendors, research institutes and industry, and public health agencies (2). Therefore, it is imperative for ECPs to have an in-depth understanding of the complex interplay among the regulatory, political, and socioeconomic components of the health care systems in which they work. Moreover, with the advent of the learning health system (LHS), investing in formal training pathways that simultaneously develop leadership skills in patient safety, health care quality, and health informatics—the quintessential building blocks of an LHS—can be pivotal in helping FITs and ECPs carve a career path in academic cardiovascular medicine as a clinician-administrator or an LHS expert.
Attaining leadership skills in patient safety, health care quality, and health informatics is necessary for FITs and ECPs interested in transforming an AMC into an LHS. According to a recent American Heart Association scientific statement, the delivery of cardiovascular care is well suited to serve as a model for the LHS due to its interaction with multiple areas of health care delivery, including chronic disease diagnosis, treatment, and prevention (3). How can FITs and ECPs cultivate and harness these avant-garde skill sets while still being engaged in rigorous training programs and busy clinical practices? This paper delves into the concept of an LHS; provides curriculum insights into skill sets in patient safety, quality, and health informatics; and culminates with 3 illustrative examples of training programs at AMCs. Our objective is to provide a roadmap for other FITs and ECPs to emulate and pioneer LHS efforts in their respective institutions.
WHAT IS AN LHS?
According to the Institute of Medicine, an LHS: 1) generates and applies the best evidence for the collaborative health care choices of each patient and provider; 2) drives the process of discovery as a natural outgrowth of patient care; and 3) ensures innovation, quality, safety, and value in health care (4,5). Simply put, an LHS is a platform in which every patient’s experiences are available to learn from; best practice knowledge is embedded in clinical workflows at the point of care to support clinical decision-making; process improvement is continuously achieved through ongoing study with a focus on patient-centric outcomes; and a workforce culture and infrastructure exist to facilitate this process to happen safely and within the health care system’s economy of scale (6).
SIGNIFICANCE OF AN LHS IN CARDIOVASCULAR MEDICINE
An LHS enables the pursuit of best practices and safer health care at a lower cost through a continuous cycle of rigorous study, learning, and improvement. This is a paradigm shift from how evidence is currently generated and applied to patient care in cardiovascular medicine. The vast majority of evidence-based knowledge that is generated from expensive, large-scale, prospective, multi-center, randomized controlled trials currently ceases its flow toward the end of the “afferent loop” of a learning cycle, at a stage where interpreted results fail to get adopted into clinical practice (Figure 1, steps 1 to 3). In fact, it takes approximately 17 years for new knowledge to get translated into clinical practice in the United States (7). In an LHS, the “efferent loop” of the learning cycle is completed by delivery of tailored messages to providers, translating into timely and actionable items (Figure 1, steps 4 to 6). For example, an LHS can facilitate a cardiologist’s point-of-care decision-making on the prescription of oral anticoagulation for stroke prevention in atrial fibrillation by providing real-time insights on the number of strokes averted and additional occurrences of bleeding events following the implementation of a new policy for referring atrial fibrillation patients to an anticoagulation center (8). Furthermore, it can utilize that information to facilitate shared decision-making conversations with a specific patient in the clinic or at the bedside. It can also provide real-time information while evaluating patients in clinic; for example, predictive analytics in an LHS can provide likelihood estimates on patients filling their antihypertensive medication prescription (8).
FIGURE 1. LHS Learning Health Cycle.
Steps 1 to 3 form the “afferent loop.” Most of the current research, dissemination, and implementation efforts stall at the end of the afferent loop. A learning health system (LHS) completes the learning health cycle by executing the “efferent loop” (steps 4 to 6) through delivering tailored messages to providers at the point of care.
Successful examples of LHS exist throughout the spectrum of cardiovascular care delivery in the United States. Leveraging its electronic health record as the main data source for constructing point-of-care clinical decision support algorithms and real-time patient risk calculators, the Veterans Administration Clinical Assessment Reporting and Tracking program in cardiac catheterization laboratories nationwide has been effective. Data entered at the point of care by the provider is used for real-time implementation of quality and safety initiatives (e.g., rapid review and adjudication of major complications by a national committee of interventional cardiologists) (9). Similarly, the American Heart Association and the American College of Cardiology have both demonstrated continued, longitudinal improvement in stroke, heart failure, and acute myocardial infarction care using clinical registries as the prime data source through the GWTG (Get With The Guidelines) Stroke and Heart Failure programs and the door-to-balloon initiatives (10–12). Finally, the Group Health Cooperative, a nonprofit integrated health care system in Washington State, has successfully employed 6 phases of a rapid LHS in its quality improvement initiatives: internal and external scans, intervention design, implementation, evaluation, iterative adjustment, and dissemination (13). These examples illustrate the growing evidence base supporting that LHS improves patient outcomes and deliver high-value care (14).
ESSENTIAL SKILL SETS FOR BECOMING AN LHS EXPERT
The essential skill sets needed to develop into an LHS expert include proficiencies within the domains of patient safety, health care quality, health informatics, and leadership. Although each of these is a distinct discipline, an LHS expert must synthesize working knowledge of relevant content from each of these fields that aids in promoting an LHS platform. Table 1 lists some of the relevant topics from each discipline that may be essential for development into an effective LHS consultant/expert (15).
TABLE 1.
Competencies in Patient Safety, Health Care Quality, Health Informatics, and Leadership as Important Building Blocks for Becoming a Learning Health System Expert*
| Core Competency | Curriculum |
|---|---|
| Patient safety | Developing a hospital program in patient safety |
| Adverse event reporting | |
| Reviewing errors: root cause analyses | |
| Hospital-acquired conditions and serious reportable events | |
| Just culture | |
| Safety culture | |
| Disclosure and apology | |
| A trainee curriculum in safety | |
| Patient engagement | |
| Free from harm | |
| Diagnostic errors: what they are and how they can be better understood and prevented | |
| The hazardous intersection of electronic health records and patient safety | |
| The Food and Drug Administration Sentinel Network | |
|
| |
| Health care quality | Frontline process improvement |
| Total quality improvement planning | |
| Developing a hospital-based program to improve quality | |
| Hospital quality and performance measurement | |
| Population health management | |
| Standardized care assessment and management | |
| Ambulatory care coordination for high-risk patients | |
| Health care consumer quality: the patient perspective | |
| Creating and evaluating effective clinical decision support tools | |
|
| |
| Health informatics | Basics of clinical databases: storing and retrieving data, types of data, data mining, data security |
| The design or architecture of health information systems | |
| The usability of an electronic health record | |
| Clinical decision support: improving quality and safety | |
| Global eHealth trends and technologies: definitions, standards, impact, implications for research | |
| Patient portals | |
| How can we achieve an LHS? | |
| A view from the Office of the National Coordinator—the intersection of health information technology and policy | |
| Essential requirements of electronic health records and responsibilities of clinicians who use them | |
| Essential requirements of a comprehensive health information technology evaluation and monitoring function at the local or national level | |
| Exchanging clinical data electronically: progress and remaining challenges | |
| Electronic health record adoption and effective use: what can we learn from other countries and industries | |
| Integrating new data sources to improve population health | |
| Using informatics to study and improve chronic disease | |
| Building the App Store for health | |
|
| |
| Leadership | Physician leaders case study |
| Harvard Business School leadership case study: ChangePro | |
| Case study of leadership and translation of health information technology | |
| Becoming a change leader within your organization | |
This curriculum has been derived from the Harvard Medical School Safety, Quality, Informatics, and Leadership certificate program (15).
LHS = learning health system.
LHS CHAMPION: A NOVEL CAREER PATHWAY IN ACADEMIC CARDIOVASCULAR MEDICINE
Innovation is needed to curtail health care spending, augment the delivery of value-based services, and improve the timely dissemination and implementation of evidence-based medicine (2). In response to this unmet need, several AMCs and cardiovascular medicine divisions have established centers of innovation; consequently, several training programs have emerged to foster professional development in this space. The 1-year certificate program at Harvard Medical School is one such example and focuses on peer collaboration, providing the nuts and bolts for delivering safe, efficient, cost-conscious, and high-value care with high-quality outcomes (15). Participation by busy FITs and ECPs is feasible, as coursework mostly consists of live interactive webinars and pre-recorded lectures. There are 3 in-person workshops per year, with continued access to faculty and mentorship, which is important in helping participants mature into “change agents” of the future.
Additional nondegree certificate programs as well as degree-granting programs have been developed at several institutions, including the University of Pennsylvania Health System and University of Michigan. At the University of Pennsylvania Health System, cardiovascular medicine fellows have the option of pursuing either a 12-month certificate program or a 24-month fellowship program in health care improvement and patient safety. The certificate program allows fellows to enroll in courses in quality improvement methods/patient safety while simultaneously becoming embedded in a local unit-based quality improvement team led by physician/nurse dyads. Ultimately, trainees complete capstone projects, present them at regional and national meetings, and join a local community of fellows committed to developing an LHS. Trainees completing the 24-month fellowship participate in the previously listed activities and earn a master’s degree while taking additional courses in topics such as quality metric development and implementation science. A strong, experienced, and committed multidisciplinary, multi-institutional team of mentors joins these 2 programs.
Similarly, at the University of Michigan, the Healthcare Administration Scholars Program provides a 20-month certificate program. Didactic lectures examine a gamut of topics ranging from health care economics, health care law and regulation, and operations management to quality and safety in health care, interprofessional education, health care information systems, and advocacy. Scholars also complete and present a mentored capstone project at the conclusion of the program, highlighting the principles and skills of quality improvement and health care administration acquired during the project experience. These opportunities enhance experiential learning and provide trainees a foundation upon which to build their skill set in LHS.
With health care reforms such as the Medicare Access and CHIP Reauthorization Act, Merit-based Incentive Payment Systems, and Advanced Alternative Payment Models becoming integral parts of the medical lexicon in the current health care environment, it is imperative for the current generation of FITs and ECPs to learn the concepts underpinning LHS and to help catalyze the transformation of AMCs into LHS. Perhaps LHSs will help AMCs realize their potential of point-of-care, individualized, and personalized health care delivery.
Acknowledgments
The authors thank Dr. Charles P. Friedman for his input on this manuscript. Dr. Friedman is Chair of the Department of Learning Health Sciences at the University of Michigan Medical School, codirector of the Safety, Quality, Informatics, and Leadership certification program at Harvard Medical School, and former Deputy National Coordinator at the Office of the National Coordinator for Health Information Technology, U.S. Department of Health and Human Services. Dr. Friedman first explored the concept of Learning Health Systems in 2010 through the Institute of Medicine while at the Office of the National Coordinator for Health Information Technology.
Footnotes
Dr. Sinha is a section editor of the Fellows-in-Training and Early Career Page of the Journal. All other authors have reported that they have no relationships relevant to the contents of this paper to disclose.
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