To help ensure Roadmap execution delivers on the goal, initial efforts focus on four high priority clinical targets:
Additional targets will be added as execution progresses, and efforts to improve the knowledge ecosystem function for all these targets will be designed to scale to many other targets via efforts that unfold synergistically and in parallel with those specifically addressed by this Roadmap. The Roadmap is divided into four phases: Concept Demonstrations (2021–2024), Pilots (2024–2027), Scaling (2027–2030), and LHS (2031).
Each phase includes tasks organized around five critical activities: Create/Use Governance; Collaboration; Enhance/Leverage Infrastructure; Enhance/Develop Living, Computable Guidance; Enhance Guidance Implementation and Assessment; and Evaluate/Plan Roadmap Execution.
Together, the tasks are designed to improve the entire knowledge ecosystem cycle (i.e., from evidence to guidance to action to data and back to evidence).
Initial AHRQ-funded pilots to address Roadmap activities that enhance this cycle are currently underway as this Roadmap is being reviewed by AHRQ and many other organizations for possible actions. The ACTS project team has received letters from 33 stakeholder organizations expressing support for the ACTS Future Vision and interest in cultivating synergies between their efforts and Roadmap-recommended approaches to broadly realizing that future vision.
Healthcare outcomes in the United States are far from optimal. Patients' care experiences are often frustrating and fragmented—lacking clear care plans, plagued by slow or missing communication and unclear or unshared priorities, and fraught with challenges to access critically needed information and tools. Patients often are not fully engaged in reconciling their care goals with those of their clinicians to achieve important results. Furthermore, the United States has the poorest healthcare outcomes among 11 high-income countries, even though it spends the most (7). According to the Centers for Medicare and Medicaid Services (CMS), the United States spent 17.7% of its 2019 Gross Domestic Product (GDP) on healthcare—and costs are rising (8). A 2019 peer review of literature from 2012 to 2019 estimated approximately 30% of healthcare spending could be considered waste, resulting in a staggering total annual waste estimate of $760 billion to $935 billion and a potential $191 billion to $286 billion in savings from interventions that address waste, including in the following domains pertinent to this Roadmap (4):
Despite the high expenditures, many are still uninsured or underinsured and substantial health disparities by race, ethnicity, and socioeconomic status exist (9). It can take over a decade for research-supported interventions to become standard care (10), and one New England Journal of Medicine study found that adults receive only half the care that is recommended (11). Preventable harm (e.g., medication errors) causes up to 1,000 deaths per day (12), and that does not include errors of omission. Approximately $210 billion/year is wasted on unnecessary services, while another $130 billion/year is spent on inefficient services and $55 billion is lost to missed prevention opportunities (13).
Clinicians are also burning out. Poor information flow also contributes to clinician burnout that costs billions every year (14) and further degrades care quality. A 2017 panel on physician burnout called it "a public health crisis" and described the pressure on doctors to meet quality measures without the resources or support to meet those demands (15). The 2019 novel coronavirus (COVID19) has exacerbated this problem (16). While high burnout is associated with lower quality care, the magnitude and clinical significance is still unclear (17) (18) (19). One contributor to burnout could be lack of resources needed to work more efficiently and effectively. Some estimate that physician decisions influence more than 80 percent of healthcare costs (20) (21), so efficiently supporting these decisions should be a priority. Valuable evidence-based resources, knowledge, and tools curated by AHRQ and others to guide decisions and actions to address these problems do exist, but they are underused. This may be due to potential users not being aware that these resources already exist, having poor access to them, or having difficulty integrating them within their workflow and underlying health IT systems.
Figure 2. High-Cost, Suboptimal U.S. Healthcare (12) (13) (14) (20) (11) (15)
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A common theme underlying these problems is suboptimal support for healthcare decisions and actions with helpful, evidence-based guidance and tools. Effective support requires a robust flow of essential information, tools, and resources around the LHS cycle, but as shown in Figure 3. Current Barriers to an Effective LHS Cycle this flow isn't happening well. This is due in part to myriad, fragmented, uncoordinated pathways whereby these assets are created and deployed (e.g., across patients, care teams, resource developers, insurance providers, hospitals, clinics, public health organizations, researchers, and many other users).
Figure 3. Current Barriers to an Effective LHS Cycle
In this broken supply chain, data, knowledge, information—and access to them—are siloed in disparate systems that are not interoperable. This problem is pervasive throughout the entire healthcare system, leading to inefficiencies, lost time and productivity, and undesirable outcomes. For example, healthcare organizations often experience difficulties to:
More specifically, there are significant missed opportunities at critical junctures along the LHS cycle. Data reflecting care results are frequently not used well to improve the evidence base because it is typically difficult and expensive to gather, incomplete, and/or inaccurate. This limited data scope yields evidence that does not address many important questions. Further, the evidence is often inconsistent and not in a standardized format, making it difficult to process into readily updatable knowledge, tools, and resources that support care delivery and transformation. The many support offerings that already exist are difficult to locate and apply. They often do not fit smoothly into workflow and can require major investments to acquire and deploy in health IT systems. The poor interoperability and flow from data to evidence to guidance to tools that support critical decisions and actions and back to data about care results is depicted in Figure 4. Current Healthcare Information Flow). This current state is a major driver for the preventable problems with care and patient outcomes, unnecessarily high expenditures, suboptimal patient experience, and overburdened clinicians noted above. <ac:structured-macro ac:name="anchor" ac:schema-version="1" ac:macro-id="01e10289-94ec-4617-85cd-cf5955f280a6"><ac:parameter ac:name="">_Ref60735279</ac:parameter></ac:structured-macro><span style="color: #262626">Figure 4.<ac:structured-macro ac:name="anchor" ac:schema-version="1" ac:macro-id="e3da25cd-dbe7-4523-8eac-f4f993a91e67"><ac:parameter ac:name="">_Ref56414265</ac:parameter></ac:structured-macro></span> <span style="color: #262626">Current Healthcare Information Flow</span> !worddav3e459d814a2972a4d0ded15a3f8c09aa.png|height=409,width=384! These challenges led healthcare leaders to establish the <span style="color: #262626"><strong>Quintuple Aim</strong></span> (22) (23)—a goal where the healthcare system simultaneously enhances patient experience, improves population health, reduces costs, and improves clinician experience. Health information technology (IT) is widely considered a key enabler to improve information flow and achieve the Quintuple Aim. While there have been major investments in health IT (including artificial intelligence \[AI\] and cloud computing infrastructure), substantial standards efforts, and regulations around _data_ interoperability, there remains a chasm between the kind of transformation achieved in other industries and that seen in healthcare (2). There is growing consensus that health IT-enabled care transformation delivered through an LHS, both at the enterprise and national levels, supported by evidence and knowledge interoperability that complements data interoperability, is the solution to these deficiencies (24). There have been major efforts over decades to address these problems, and this ACTS Roadmap builds on these efforts, a sampling of which includes:
Full realization of LHSs and the Quintuple Aim in follow-up to these important initaitives have been impeded by forces such as:
This ACTS Roadmap deliverable builds on prior work and leverages more robust and widely adopted critical standards (e.g., Fast Healthcare Interoperability Resources \[FHIR\], more ubiquitous and sophisticated health IT (developed with greater attention to user-centered design), increased interest in value-based care and LHSs, and greater attention to stakeholder-driven approaches to accelerate transformation. These developments should substantially accelerate progress toward the Quintuple Aim beyond what these prior initiatives achieved. This Roadmap focuses on the problems and solutions that AHRQ and other knowledge ecosystem stakeholders can directly address by replacing the broken cycle, shown in Figure 3. Current Barriers to an Effective LHS Cycle and Figure 4. Current Healthcare Information Flow with an effective LHS cycle, shown in Figure 5. The LHS Cycle. In this effective LHS cycle, public health, care delivery, and quality improvement (QI) actions produce data about results, which is processed into evidence about effective actions, which is in turn processed into knowledge, tools, and resources that inform subsequent action—in a continuous cycle—to achieve the Quintuple Aim. Producing an effective LHS cycle requires that information flows seamlessly around that cycle. The environment in which people use processes and technology to address this flow in ways that deliver desired outcomes we call the "knowledge ecosystem."
Functionally, the knowledge ecosystem enables the LHS cycle, which we also refer to as the "knowledge ecosystem cycle."
Figure 5. The LHS Cycle
The CDS 5 Rights Framework (29), is a widely cited approach for putting evidence, guidance, and tools into practice better—that is, for optimizing the _guidance to action_ portion of the knowledge ecosystem cycle. The framework, recommended by CMS as a health IT / QI best practice (30), asserts that optimizing a particular healthcare process or outcome requires getting the information (e.g., evidence-based and actionable) to the right people (e.g., care teams and patients) in the right formats (e.g., registry reports, documentation tools, data display, care plans) through the right channels (e.g., electronic health record \[EHR\], personal health record \[PHR\], smartphones, smart home devices) at the right times (e.g., during a key decision or action). This framework can be extended to cover the _entire_ LHS cycle by broadening each of the five dimensions to include _all_ the pertinent who, what, when, where, how options.
Figure 6. The Decision/Action Support (DAS) 5-Rights-Supported LHS Cycle illustrates how the LHS virtuous cycle requires addressing well each of those five dimensions throughout all activities in the cycle.
Figure 6. The Decision/Action Support (DAS) 5-Rights-Supported LHS Cycle
Figure 7. LHS Functions That the Knowledge Ecosystem Supports illustrates additional details about processes performed around the knowledge ecosystem cycle. Each of these processes is an opportunity to put the DAS 5 Rights Framework into action to make them efficient and well-coordinated to achieve a virtuous LHS cycle.
Figure 7. LHS Functions That the Knowledge Ecosystem Supports
AHRQ produces many valuable, evidence-informed resources to support care delivery and transformation and LHSs. However, many who could significantly benefit from these resources aren't aware they exist, have difficulty finding or accessing them, or are challenged to incorporate them into information systems and workflow. To promote broader value from these carefully curated resources, AHRQ launched the ACTS Initiative (31) in late 2018 to develop a roadmap for how to improve access to and use of resources that AHRQ and others provide. That is, to chart a path for how the Agency could better realize its mission (32) (33) by creating an AHRQ DKP that makes its resources more FAIR (34), computable, and useful, and, most importantly, does this in a manner synergistic with other public and private efforts to likewise mobilize computable biomedical information into an integrated knowledge ecosystem that supports LHSs, the DAS 5 Rights, and the Quintuple Aim in ways that help achieve respective organizational missions.
See Figure 8. Sampling of Non-AHRQ Initiatives Addressing the Knowledge Ecosystem With Which Roadmap Execution Coordinates and Appendix A, Interplay With a Sampling of Other Strategic Plans, Priorities & Initiatives for examples of these other important and inter-related activities.
Figure 8. Sampling of Non-AHRQ Initiatives Addressing the Knowledge Ecosystem With Which Roadmap Execution Coordinates
[N] indicates not a Federal initiative. See Appendix H, Acronyms & Abbreviations for definitions.
The current knowledge ecosystem is not effective at supporting LHS efforts, which contributes significantly to slow progress toward the Quintuple Aim. The elements of each LHS cycle are not well integrated and don't meet the needs of users. Meanwhile, most LHS are siloed and do not communicate universally across the ecosystem.
Creating LHSs at organization, national, and international scales is increasingly viewed as a core strategy to optimize healthcare delivery and achieve the Quintuple Aim (57) (58). Computable knowledge is a key enabler for these LHSs (3). By illustrating how health IT that supports the interoperable flow of computable knowledge around the knowledge ecosystem and LHS cycle, Figures 5–11 and 13 reflect key future vision elements for broadly realizing LHSs. In this future vision, resources needed to support key decisions and actions throughout the knowledge ecosystem cycle are FAIR (59) (see Figure 14. Characteristics of FAIR Resources), computable, useful, and widely used to great benefit.
Enhanced information flow in the knowledge ecosystem and LHS cycle should produce continuously improving public health, and care quality and outcomes. Evidence is effectively translated into resources that are widely and successfully used to guide actions, which generate useful data that inform more robust evidence in a virtuous learning cycle (see What a Digital Knowledge Ecosystem Will Enhance). Stakeholders in each area of the cycle must have clear economic incentives naturally guiding local policies and behaviors toward this model. We refer to this overall cycle as a national LHS cycle when it encompasses efforts across an entire country. An ultimate Roadmap goal is data, evidence, knowledge, guidance, and tools that are computable and interoperable across national, geographic, policy, and other boundaries in ways that enable the virtuous cycle to encompass everyone, everywhere. The COVID19 pandemic reinforces the need for such a global learning and improvement cycle.
Individual CDOs can likewise become LHSs by supporting helpful evidence-based information and tools use in practice by care teams, quality teams and patients (e.g., through evidence-based, integrated care plans); systematically examining results from their care delivery and QI efforts; and using these results to enhance care and QI efforts continuously. We refer to this CDO-specific work as the organizational LHS cycle. CDOs and entities that support them typically refer to these activities as QI, continuous QI (CQI), or care transformation.
The ACTS Future Vision Workgroup described in detail desirable workflows and information flows that could occur in LHSs supported by a high-functioning knowledge ecosystem (Appendix B, Future Vision). Four knowledge ecosystem perspectives were selected for this visioning work:
Figure 15. Future Vision for a Virtuous LHS Cycle includes a one-sentence future vision overview for each of these perspectives, encapsulating many pages of detailed descriptions presented in the future vision appendix.
Other future vision perspectives not addressed by the Future Vision Workgroup are also essential for driving a knowledge ecosystem that delivers LHSs. For example, defining desirable specifics for the data-to-evidence portion of the LHS cycle as depicted in Figure 15. Future Vision for a Virtuous LHS Cycle. The Roadmap is designed to support stakeholders in defining and addressing a consensus future vision for these key ecosystem components in ways that leverage and advance related initiatives to collect and analyze data to generate new evidence (60) (61) (62) (63) and for related LHS cycle activities. The LHS cycle—and the outcomes it should deliver such as the Quintuple Aim—will only be as successful as permitted by the least effective cycle component, so careful attention must be paid to all components.
Figure 14. Characteristics of FAIR Resources Adapted from (347) and (59)
Figure 15. Future Vision for a Virtuous LHS Cycle