Advancing the use of patient-reported outcomes in practice: understanding challenges, opportunities, and the potential of health information technology.

PURPOSE: The effective use of patient-reported outcomes (PROs) can play a critical role in improving health care delivery and patient experience with care. However, PROs are not widely collected and used in clinical practice. This study aims to understand current opportunities and challenges with the use of PROs and the potential for health information technology (IT) to advance their use. METHODS: The Agency for Healthcare Research and Quality held two technical expert panel (TEP) meetings to discuss the current use of PROs, challenges, and opportunities in implementation, and how health IT can be leveraged to support effective PRO use in clinical practice. Results were synthesized to identify major themes and takeaways based on different stages of PRO data utilization. RESULTS: Findings from the TEP meetings indicated varying degrees of PRO usage in ambulatory care settings. Practices often lack a business case to collect PROs. Primary care physicians face more challenges than specialists in selecting appropriate PRO measures due to extensive variation in their patient populations. Providers also need training to use PRO data for shared decision making and population health management. Potential research areas to address PRO implementation challenges include measures harmonization, implementation process and workflow, electronic data collection and integration, and user-friendly data displays. CONCLUSIONS: Opportunities exist during different stages of PRO implementation to advance the use of PROs in clinical practice. Health IT can be utilized to address challenges in data collection, integration, and visualization to make PRO data accessible and understandable to patients and providers.

AHRQ's digital healthcare research program: 20 years of advancing innovation and discovery.

OBJECTIVES: To reflect on the achievements of the Agency for Healthcare Research and Quality's (AHRQ) Digital Healthcare Research Program over the past 20 years, evaluate its impact on US healthcare quality and safety, and outline current and future priorities for digital healthcare research and innovation. PROCESS: The article reviews key milestones in AHRQ's digital healthcare initiatives, including its founding and its advances in telehealthcare and clinical decision support. It highlights AHRQ's contributions to advancing technology integration in healthcare, promoting patient safety, and addressing equity gaps. The article also examines the evolving role of artificial intelligence (AI) in healthcare delivery. CONCLUSIONS: AHRQ's Digital Healthcare Research Program has significantly contributed to improving healthcare quality. As digital technologies evolve, particularly with AI, the program remains focused on enhancing safety, equity, and efficiency in healthcare. Continued research and investment will be essential to maintaining progress and addressing new challenges.

Building the evidence-base to reduce electronic health record-related clinician burden.

Clinicians face competing pressures of being clinically productive while using imperfect electronic health record (EHR) systems and maximizing face-to-face time with patients. EHR use is increasingly associated with clinician burnout and underscores the need for interventions to improve clinicians' experiences. With an aim of addressing this need, we share evidence-based informatics approaches, pragmatic next steps, and future research directions to improve 3 of the highest contributors to EHR burden: (1) documentation, (2) chart review, and (3) inbox tasks. These approaches leverage speech recognition technologies, natural language processing, artificial intelligence, and redesign of EHR workflow and user interfaces. We also offer a perspective on how EHR vendors, healthcare system leaders, and policymakers all play an integral role while sharing responsibility in helping make evidence-based sociotechnical solutions available and easy to use.

A novel application of SMART on FHIR architecture for interoperable and scalable integration of patient-reported outcome data with electronic health records.

OBJECTIVE: Despite a proliferation of applications (apps) to conveniently collect patient-reported outcomes (PROs) from patients, PRO data are yet to be seamlessly integrated with electronic health records (EHRs) in a way that improves interoperability and scalability. We applied the newly created PRO standards from the Office of the National Coordinator for Health Information Technology to facilitate the collection and integration of standardized PRO data. A novel multitiered architecture was created to enable seamless integration of PRO data via Substitutable Medical Apps and Reusable Technologies on Fast Healthcare Interoperability Resources apps and scaled to different EHR platforms in multiple ambulatory settings. MATERIALS AND METHODS: We used a standards-based approach to deploy 2 apps that source and surface PRO data in real-time for provider use within the EHR and which rely on PRO assessments from an external center to streamline app and EHR integration. RESULTS: The apps were developed to enable patients to answer validated assessments (eg, a Patient-Reported Outcomes Measurement Information System including using a Computer Adaptive Test format). Both apps were developed to populate the EHR in real time using the Health Level Seven FHIR standard allowing providers to view patients' data during the clinical encounter. The process of implementing this architecture with 2 different apps across 18 ambulatory care sites and 3 different EHR platforms is described. CONCLUSION: Our approach and solution proved feasible, secure, and time- and resource-efficient. We offer actionable guidance for this technology to be scaled and adapted to promote adoption in diverse ambulatory care settings and across different EHRs.

Summary of second annual MCBK public meeting: Mobilizing Computable Biomedical Knowledge-A movement to accelerate translation of knowledge into action.

The volume of biomedical knowledge is growing exponentially and much of this knowledge is represented in computer executable formats, such as models, algorithms and programmatic code. There is a growing need to apply this knowledge to improve health in Learning Health Systems, health delivery organizations, and other settings. However, most organizations do not yet have the infrastructure required to consume and apply computable knowledge, and national policies and standards adoption are not sufficient to ensure that it is discoverable and used safely and fairly, nor is there widespread experience in the process of knowledge implementation as clinical decision support. The Mobilizing Computable Biomedical Knowledge (MCBK) community formed in 2016 to address these needs. This report summarizes the main outputs of the Second Annual MCBK public meeting, which was held at the National Institutes of Health on July 18-19, 2019 and brought together over 150 participants from various domains to frame and address important dimensions for mobilizing CBK.

A national data infrastructure for patient-centered outcomes research.

Concerted efforts are underway to improve healthcare decision-making through patient-centered outcomes research. These efforts are supported by the Patient-Centered Outcomes Research Trust Fund, which was established within the Patient Protection and Affordable Care Act. This article focuses on describing national data infrastructure efforts that support patient-centered outcomes research. A national data infrastructure has the potential to decrease research costs and improve research throughput. We describe early and current efforts that demonstrated this potential, how the national effort is utilizing the lessons learned from these predecessor efforts and remaining challenges.