An integrative framework for health and human performance
A scoping review establishing the need, followed by a framework synthesis addressing it.
Performance Medicine describes the integration of health optimisation and performance enhancement across high-demand human systems. Although related models are used in elite sport, military, and other high-performance environments, the field lacks an agreed definition, conceptual structure, and governing framework.
ObjectivesTo map the literature relating to integrated health and performance systems, examine how such systems are described across domains, and determine whether a coherent conceptualisation of Performance Medicine currently exists.
DesignPRISMA-ScR scoping review with descriptive and thematic synthesis.
SettingPeer-reviewed and grey literature identified through database searching, targeted web searching, and citation screening.
SourcesEmpirical studies, reviews, models, frameworks, and organisational descriptions relating to integrated health and performance systems in high-performance populations.
OutcomesConceptual definitions, system characteristics, multidisciplinary structures, recurring domains, and evidence relevant to the existence of coherent Performance Medicine models.
ResultsThe literature demonstrated widespread practical implementation of integrated and multidisciplinary performance systems, particularly within elite sport and increasingly in corporate and technical settings. However, directly relevant evidence was limited, heterogeneous, and distributed across multiple disciplines and applied settings. Terminology was inconsistent, and no unified framework, taxonomy, or governance structure was identified. Existing publications described important components, including performance health, interdisciplinary teams, system coordination, and domain-specific support functions, but these were fragmented and rarely assembled into a single conceptual model. Much of the literature was descriptive or practice-led rather than theory-building, which limited comparability and reduced the strength of generalisable conclusions across contexts. Overall, the evidence suggested an active field of practice without a clearly articulated conceptual architecture.
ConclusionsPerformance Medicine appears to be widely practised but insufficiently defined. The absence of a coherent conceptual architecture limits standardisation, evaluation, communication, and development of best practice. These findings support further multidisciplinary synthesis to define the field more clearly and to develop an integrated framework and practical tools for system design, delivery, and governance.
Following identification of conceptual and structural gaps in Performance Medicine, there is a need to synthesise existing multidisciplinary knowledge into a coherent framework that can support practice, governance, service design, and future research.
ObjectivesTo develop a Performance Medicine framework and associated operational tools through structured multidisciplinary synthesis of scientific and applied literature.
DesignStructured narrative synthesis with thematic analysis and iterative framework development.
SettingPeer-reviewed literature, consensus statements, organisational models, and key texts drawn from sport, medicine, psychology, and related high-performance domains.
SourcesSources describing relevant concepts, systems, domains, professional roles, and organisational approaches to integrated health and performance support.
OutcomesA conceptual architecture for Performance Medicine, together with applied tools to define system purpose, structure, roles, functions, and evaluation criteria.
ResultsThe synthesis produced a Performance Medicine Framework describing integrated domains of human performance and health, linked through system-level components including governance, team structure, decision-making, and data integration. Two applied outputs were also developed. The Performance Medicine Operational Specification defines domain-level purpose, responsibilities, and core functions across the system. The Performance Medicine Assessment Tool provides a structured method for reviewing current provision, identifying gaps, and supporting service development. Together, these outputs offer a coherent model linking conceptual structure to operational application and providing a practical basis for implementation across high-performance settings. However, the framework remains under development and its transferability, reliability, and utility across different environments will require further testing.
ConclusionsThis work addresses an important gap by presenting a unified conceptual architecture and practical tools for Performance Medicine. Together, the Performance Medicine Architecture, Operational Specification, and Assessment Tool provide an initial framework for system design, evaluation, and governance across high-performance settings, while establishing a basis for subsequent refinement, validation, and applied testing.
Performance Medicine is conceptually distinct from Sports and Exercise Medicine, Lifestyle Medicine, and Preventive Medicine — though it draws on all three. The table below maps key differences and areas of overlap.
| Domain / issue | Performance Medicine | Sport & Exercise Medicine | Lifestyle Medicine | Preventive Medicine |
|---|---|---|---|---|
| Conceptual field | Emerging integrative field concerned with coordinated health optimisation and performance enhancement across high-demand human systems | Established clinical specialty focused on physical activity, sport-related health, exercise prescription, and musculoskeletal or activity-related care | Emerging stand-alone field centred on behavioural and lifestyle determinants of health and chronic disease risk | Established public health / medical field concerned with disease prevention, risk reduction, screening, and population or systems-level prevention |
| Primary orientation | Health and performance together | Clinical sport, exercise, and musculoskeletal care, plus exercise as medicine | Behaviour change and whole-person health optimisation | Prevention of disease, morbidity, and population risk |
| Typical populations | Athletes, teams, coaches, performance staff, tactical or military populations, executives, and other high-demand performers | Athletes, physically active individuals, general patients with exercise- or sport-related issues | General population, at-risk individuals, and patients requiring lifestyle modification | General population, defined risk groups, occupational groups, and public health populations |
| Main unit of analysis | Integrated performance system | Individual patient / athlete, sometimes team or service | Individual lifestyle and behavioural profile | Individual risk, population risk, and prevention systems |
| Typical aims | Readiness, resilience, sustainable performance, reduced decrement, integrated support, system functioning | Diagnosis, treatment, rehabilitation, return to activity, exercise prescription, athlete health | Improved health behaviours, reduced disease risk, enhanced quality of life, sustainable lifestyle change | Prevention of disease onset or progression, population screening, risk factor reduction, policy development |
| System model | Layered architecture: domains → components → governance → context (collective, integrated) | Largely episodic and consultation-based; team models emerging | Preventive pathway model; patient-centred; behaviour-change focus | Public health systems model; screening pathways; population intervention |
| Governance / accreditation | No unified framework or accreditation yet identified — primary evidence gap (C6) | FSEM · CSEM · National sports medicine bodies · WADA | ACLM · BSLM · National equivalents · Primary care pathways | Established within public health, occupational health, and preventive medicine frameworks |
| Evidence base | Predominantly conceptual and low-level (Level III–V); no randomised trials for the integrated model | Robust within-domain; systematic reviews and RCTs for many conditions | Growing base; RCTs for lifestyle interventions; primary care evidence | Strong epidemiological and trial evidence base for preventive interventions |
| Conceptual distinctiveness | Distinct by virtue of integrated architecture, performance orientation, and system-level governance (C7) | Medically-led; primarily injury and illness focus; less performance-system emphasis | Disease-prevention and behaviour-change focus; not performance-oriented | Population and prevention focus; not oriented to performance optimisation |
| Overlap with PM | — | SEM contributes domain expertise to PM; shares athletic populations; injury and load management are PM domains | LM provides behavioural and lifestyle evidence that underpins PM's health-optimisation functions | Preventive orientation is a shared value; PM extends prevention into active performance optimisation |
Table 1. Comparison of Performance Medicine and adjacent fields of practice. ACLM: American College of Lifestyle Medicine. BSLM: British Society of Lifestyle Medicine. CSEM: College of Sport, Exercise and Musculoskeletal Medicine. FSEM: Faculty of Sport and Exercise Medicine. RCT: randomised controlled trial. WADA: World Anti-Doping Agency. C6, C7: claim reference numbers from the PM1 evidence synthesis.
The PMIF organises Performance Medicine across four discipline quadrants, bounded by three overarching aspects applied across the whole system.
The PMA translates the PMIF into operational practice through two complementary applied tools.
The conceptual backbone. A concentric integrative framework organising the field across four discipline quadrants, three overarching aspects, and a Governance, Management and Delivery boundary.
A structured dual-purpose instrument for prospective needs evaluation and evaluative service assessment, with integrated gap analysis and RAG priority rating across all 22 PMIF domains.
A live commissioning document defining domain-level purpose, responsibilities, and core functions, structured across nine operational sub-components with a Foundation / Established / Advanced maturity model.
Performance Medicine is being defined iteratively, with input from practitioners, researchers, and commissioners across elite sport, military, clinical, and corporate settings. The survey takes 5 to 8 minutes.