From Data to Action in Whole-Person Care
Whole-person care advances when healthcare organizations use data to understand the full context of people’s lives and then turn that understanding into better programs, better decisions, and more human-centered support. At the Global Health and Purpose Summit, as part of People and Planet United, Meghan Harris, President & COO of Acentra Health, and Ryan Bosch, EVP, Chief Health and Informatics Officer at Acentra Health, join host Sarah Harper, Senior Account Executive at FINN Partners, for a leadership conversation on “Data to Action: Using Community Drivers of Health to Deliver Whole-Person Care.”
The session places community drivers of health at the center of a practical transformation in healthcare. Medical care, behavioral health, pharmacy, family support, socioeconomic context, access to healthy food, access to clinics, navigation, health literacy, geography, rurality, and local environmental conditions all influence whether an intervention succeeds. Harris and Bosch describe a model in which healthcare leaders use data at the point of program design, not after a program fails, and in which analytics support the people delivering care rather than distancing them from the people they serve.
Harper guides the conversation toward a central leadership question for state Medicaid programs, commercial partners, providers, and healthcare technology organizations. How can abundant healthcare data become actionable intelligence that closes care gaps, advances health equity, and supports whole-person, whole-population care. Harris brings the operational perspective of a healthcare leader focused on vulnerable moments in people’s lives, while Bosch brings the physician and informatics perspective of a leader focused on the discipline required to move from data to outcomes.
The Human Reason for Data
Harris begins the session with a deeply human explanation of why healthcare work matters. Her background is in health analytics and biostatistics, yet her commitment to healthcare is rooted in the moments when people encounter the system at their most vulnerable. A diagnosis, a visit to a physician, a complex care decision, or the need to navigate a public program can become one of the most difficult moments in a person’s life. Data has value when it helps make that moment easier, clearer, and more responsive.
Having the opportunity to engage people at that moment and make that part of their life just a little bit easier is something I feel very strongly about.
— Meghan Harris, Acentra HealthBosch extends that human purpose through the lens of informatics. Trained as an internal medicine physician and shaped by decades of experience across academic, military, commercial, and public-sector healthcare settings, Bosch describes data as the discipline that can connect complex systems to more precise action. His phrase for that work gives the session its central operating logic.
Whole-Person Care Begins with the Full Context
Whole-person care, Harris explains, has evolved as healthcare organizations have learned more about the many forces that shape wellbeing. A medical diagnosis may begin the care journey, but long-term outcomes are influenced by behavioral health, medication access, socioeconomic status, family support systems, transportation, community resources, and the ability to navigate the system. The work is therefore broader than a single condition, program, benefit, or clinical episode.
Harris describes Acentra Health’s evolution from traditional medical healthcare toward a more complete model that includes behavioral health, pharmaceutical needs, social context, family and community support, and resource availability. The practical implication is significant. Healthcare leaders need to design programs that account for the full person from the beginning rather than using data after the fact to explain why a narrowly designed intervention underperformed.
All of the levers that impact somebody's healthcare really need to be addressed in order to really impact somebody's well-being long-term.
— Meghan Harris, Acentra HealthThat framing is especially important for Medicaid and vulnerable populations because the barriers to care often sit outside the clinical encounter. A care management program focused only on a disease state can miss the family, community, food, transportation, literacy, and access issues that determine whether care is received and sustained.
Community Drivers Turn Population Health into Practical Intelligence
Bosch adds another dimension to the model by distinguishing the whole person from the whole community. A person may have clinical, behavioral, pharmaceutical, and social needs, but the community itself can create lift or friction. Access to healthy food, medical care, clinics, navigation tools, and health literacy can shape outcomes before an intervention begins. Whole-person, whole-population care requires both perspectives.
These community drivers are just as important as that individual 360 degree.
— Ryan Bosch, Acentra HealthThe distinction matters because it changes the design of intervention. Leaders can move beyond broad risk labels and begin to ask which people, in which communities, under which conditions, are most likely to benefit from a particular intervention. Bosch describes this as a shift from fragmented program logic toward a richer understanding of risk, receptivity, and measurable lift. The result is a more precise use of care management, disease management, utilization management, food as medicine, transportation support, and access programs.
Harris offers a concrete example from Oregon, where Acentra Health has worked around wildfire-related needs by using data to identify people with chronic lung conditions who may need air purifiers and people with other chronic conditions who may need air conditioners. The program combines health data, geodata, environmental exposure, and targeted case management. It shows how community drivers can become practical program design rather than abstract context.
Data Discipline Makes Equity Actionable
Healthcare has more data than ever, Bosch explains, but abundance creates value only when it becomes structured, reliable, and usable. Electronic health records, health information exchanges, claims data, public-sector data, Medicaid data, commercial data, and Medicare data all offer potential insight. Yet fragmented, inconsistent, or poorly governed data makes it harder to close care gaps and measure whether interventions are working.
Bosch describes the work as data discipline. It includes data fidelity, data liquidity, lineage, fill rates, nomenclature, consistency, update methods, and the ability to segment data by risk. That discipline allows teams to look at disparities by age, gender, medical condition, race, region, geography, and rural or urban context. It also allows teams to apply scientific method to determine whether an intervention is producing meaningful lift.
The phrase captures a key leadership lesson. Innovation depends on discipline before it depends on technology. Clean, structured, traceable, and consistently updated data gives leaders confidence that patterns, correlations, causation, risk segmentation, and outcome measurements are meaningful. That is what allows health equity to become an operational agenda rather than a stated priority.
Policy and Technology Move Toward Program Design
Harper then brings the conversation to the relationship between policy and technology, especially as CMS mandates and health-related social needs gain more prominence. Harris sees important progress in interoperability, rural health transformation, and efforts to free clinical teams to spend more time on healthcare. She also emphasizes that healthcare leaders cannot rely only on CMS to solve the problem. Organizations with programs, technology, and operational capability share responsibility for bringing these tools forward.
Bosch complements that view by describing the continued relationship between technology modernization and the claims-based world of healthcare. Inpatient care, outpatient care, pharmacy care, and claims adjudication remain structured, programmatic systems. The opportunity now is to use technology and data discipline to connect those systems more intelligently. With Acentra Health’s work across 110 million lives under contract, Bosch sees an opportunity to evaluate not only who is high risk, but who is likely to benefit from a specific intervention, engagement, or program.
This is a strategic shift. Instead of applying a narrow intervention to a broad category, such as a food program for a diabetic population in a rural area, leaders can ask a more sophisticated question. Which combination of clinical, social, geographic, and community factors identifies the people most likely to benefit, and how can the system measure that benefit over time. That is where policy, technology, and program design begin to converge.
Automation Should Bring Care Closer to People
Automation and analytics often raise questions about whether healthcare will become less personal. Harris argues the opposite. Used well, automation can make healthcare more human-centered by putting the right information at the fingertips of the people delivering care and reducing the non-clinical work that consumes time from nurses, physicians, clinicians, and community health workers.
In Harris’s view, the point of data, automation, AI, and machine learning is to make critical human interactions more focused. A clinician, nurse, physician, or community health worker should be able to sit with a person, understand what is going on, and focus attention on the most important need. The technology should reduce friction around the interaction, not replace the interaction itself.
Bosch reinforces that point through a historical comparison. Many tools in medicine have created concern at the moment of adoption, from the stethoscope to computers, electronic health records, internet search, advanced analytics, machine learning, and AI. Each tool requires change management. The central principle remains constant.
The Next Standard Is an Outcomes Practice
Looking ahead, Bosch identifies the most promising direction as the ability to build an outcomes practice. Outcome measures matter, but measures alone do not define a practice. Many organizations still rely heavily on business measures such as net promoter scores, uptime, service-level performance, and turnaround times. Those measures are important because they indicate operational performance. Yet a true outcomes practice also measures more health for the population, better quality, more lives lived, lower cost, stronger value, and the impact of interventions on people and communities.
Harris agrees with that direction and connects it back to the person at the center of care. AI, machine learning, data, and automation should help the people doing critical healthcare jobs focus more directly on the individual in front of them. In a mature model, information is already actionable, workflows are easier, and human-to-human interactions become more meaningful.
We need to have our programs at the time of development to be able to address that whole person and that whole community.
— Meghan Harris, Acentra HealthData to Action offers a clear leadership standard for the future of whole-person care. The goal is to convert fragmented data into structured intelligence, structured intelligence into better program design, and better program design into measurable outcomes. Community drivers of health become powerful when they are used from the beginning, measured with discipline, connected to policy and technology, and translated into support that helps people navigate healthcare at vulnerable moments. The result is a healthcare model that is more precise, more equitable, more human-centered, and more accountable for outcomes.
Watch the Dedicated Session
Access the full dedicated session page for Data to Action: Using Community Drivers of Health to Deliver Whole-Person Care, featuring Meghan Harris, Ryan Bosch, and host Sarah Harper.
View the Session Page
