Beyond Primary, Secondary, and Tertiary: A Practice-Derived Operational Architecture for Healthcare System Planning, Delivery, and Financing

Author: Dr. Syed Sabahat Azim, MBBS, Ex-IAS Founder & CEO, Zoya Technologies (Zoyel) Founder & Chairman, Glocal Healthcare Systems Pvt Ltd

Abstract

Healthcare systems worldwide are planned, financed, and regulated around a classification framework — the primary, secondary, and tertiary tier system — that was conceptualized in 1920 and formalized at Alma-Ata in 1978. Despite its ubiquity, this framework systematically fails to answer the questions most material to health system planners: where should a facility be located? What infrastructure does it require? Which services can be delivered digitally? How should financing be structured?

Healthcare systems worldwide are planned, financed, and regulated around a classification framework - the primary, secondary, and tertiary tier system - that was conceptualized in 1920 and formalized at Alma-Ata in 1978. Despite its ubiquity, this framework systematically fails to answer the questions most material to health system planners: where should a facility be located? What infrastructure does it require? Which services can be delivered digitally? How should financing be structured? The framework proposed in this paper emerged not from theoretical exercise but from fifteen years of operational healthcare system design and implementation across eastern and northern India, encompassing more than 1,100 hospital beds across West Bengal, Uttar Pradesh, Bihar, and Odisha. Repeated operational observation revealed that two variables - time sensitivity (acuity) and infrastructure dependency (intervention requirement) - are far more predictive of planning requirements than institutional hierarchy or medical specialty. A 2x2 classification matrix built on these two axes yields four operationally coherent quadrants, each with distinct implications for facility location, workforce, digital delivery architecture, financing design, and cluster development. The framework's larger thesis is that healthcare infrastructure should be organised according to operational systems logic rather than institutional tradition or specialty hierarchy.

1. Introduction: The Failure of the Tier Model

   Every health system requires a taxonomy. Without one, planners cannot decide where to build, insurers cannot design rational benefit packages, and policymakers cannot allocate capital. The primary-secondary-tertiary framework has provided that taxonomy since the Dawson Report of 1920 and its formal adoption into World Health Organization doctrine through the Declaration of Alma-Ata in 1978. It is the framework taught in every school of public health, embedded in every national health policy, and assumed in every multilateral health financing discussion.

   The persistence of the framework reflects institutional continuity and the absence of a widely adopted operational alternative rather than demonstrated superiority for contemporary planning problems. This paper offers one.

   The primary-secondary-tertiary classification exists in two parallel and mutually incompatible forms. According to the World Health Organization, the levels of care constitute a comprehensive approach to health systems: primary care is the first point of contact, secondary involves specialized acute care, and tertiary offers highly specialized, complex, or rehabilitative care. In market usage, the tiers describe institutional complexity and cost: general practice and first-contact care (primary), standard hospital procedures including surgery, medicine, and routine hospitalization (secondary), and complex specialist or sub-specialist care (tertiary), with a contested quaternary tier for extreme complexity. These two frameworks are not reconcilable - a community health worker providing preventive nutrition education is primary under WHO logic but has no natural place in the market hierarchy; a high-volume specialist cataract surgeon is tertiary under market logic but largely rehabilitative under WHO logic.

   More importantly, neither version answers the questions that matter most to those who must actually design and build health systems. Neither tells a planner where to site a facility, what that facility needs to contain, whether its services can be delivered digitally, or how the financial incentives around it should be structured. The consequence of this analytical gap is visible across health systems worldwide: hospitals designed for complex care overwhelmed by outpatient demand that could be managed in lower-cost settings; insurance schemes creating friction precisely where the system should be frictionless; digital health investment made without principled guidance on which services can safely migrate to remote delivery; specialist care either over-distributed (reducing volume and outcomes) or under-distributed (reducing access), with no clear principle to govern the balance.

   This paper argues that a 2x2 matrix built on two operationally meaningful axes resolves these problems. The framework is not a theoretical proposal. It is a codification of operational insight derived from fifteen years of healthcare system design and implementation in resource-constrained settings across India.

2. Origin and Method: A Practice-Derived Framework

   The framework proposed in this paper emerged from approximately fifteen years of healthcare system implementation experience through Glocal Healthcare Systems Pvt. Ltd., spanning multiple states in eastern and northern India including West Bengal, Uttar Pradesh, Bihar, and Odisha, with the network ultimately encompassing more than 1,100 hospital beds.

   The earliest operational experiments began in Sonamukhi, in Bankura district of West Bengal - a semi-rural region with severe access deficits and limited public health infrastructure. The initial vision attempted to establish a fully comprehensive hospital model: a facility that could serve the population across the full clinical spectrum. While clinically ambitious, this model rapidly revealed fundamental structural tensions. Comprehensive care under one roof required infrastructure intensity, workforce depth, and utilization density that could not be sustained in a semi-rural catchment. The economics of a full-service facility assumed patient volumes that were incompatible with geographic dispersion. The workforce requirements assumed specialist concentration that was incompatible with the talent market. And the clinical model assumed that all categories of care had similar location requirements - which operational reality quickly disproved.

   Patients with acute emergencies could not travel. Patients needing highly specialised elective procedures were already travelling — long distances, to concentrated centres in Chennai, Hyderabad, and Kolkata — despite the existence of nominally nearer facilities. The geographic behavior of patients was not irrational; it was a precise signal about the different location requirements of different types of care.

   The observation that proved most consequential was simple: different categories of care obeyed fundamentally different geographic, economic, and infrastructural logic. Patients with acute emergencies could not travel. Patients needing highly specialised elective procedures were already travelling - long distances, to concentrated centres in Chennai, Hyderabad, and Kolkata - despite the existence of nominally nearer facilities. The geographic behavior of patients was not irrational; it was a precise signal about the different location requirements of different types of care.

   Over time, as the network expanded across districts and states, these observations crystallized. Lack of emergency and stabilization infrastructure at district level produced immediate mortality - preventable deaths attributable entirely to distance. Highly specialized procedural centres, by contrast, could not be made financially or operationally viable at district level regardless of policy intent; they required the volume, talent, supply chain, and ecosystem that only concentration could produce. The conventional primary-secondary-tertiary framework provided no conceptual tool to distinguish between these two realities. It treated them both as questions of institutional tier rather than questions of operational logic.

   The 2x2 framework proposed in this paper emerged from repeated operational iteration: what are the two variables that most reliably predict the infrastructure, workforce, geography, and financing requirements of a given service? The answer, tested across hundreds of clinical categories across multiple states over more than a decade, was consistent: time sensitivity (is this care acutely time-critical, or can it be planned?) and infrastructure dependency (does this care require physical intervention in a specialized facility, or can it be delivered through information and conversation?). These two variables - acuity and intervention dependency - define the four quadrants of the framework.

   This paper should be read as a practice-derived operational framework subsequently interpreted and strengthened through health systems literature. The literature is cited to support and contextualize the framework's claims; the framework itself did not derive from the literature.

3. The Proposed Framework

   3.1 The Two Axes

   Axis 1 - Acuity: Acute versus Non-Acute. The first axis separates conditions involving a serious and immediate risk of death, disability, or irreversible damage from conditions that are non-acute, stable, or elective. This is not a measure of severity in the conventional sense - a non-acute condition can be severe. It is a measure of time sensitivity: does delay between presentation and care materially worsen the outcome? Acute conditions are those for which the answer is yes. The practical implication is location: acute care must be geographically proximate to the population it serves because the patient cannot travel. Non-Acute care can, in principle, be accessed at greater distances.

   Axis 2 - Delivery Modality: Interventional versus Non-Interventional. The second axis separates care that requires a physical intervention in a specialised facility - surgery, procedural medicine, device implantation, physical therapy requiring specialist equipment - from care that does not. Non-interventional care encompasses diagnosis, monitoring, counselling, medication management, rehabilitation guidance, preventive services, and longitudinal follow-up. The critical insight is that non-interventional care can, in principle, be delivered through any medium capable of transmitting clinical information: digital platforms, telephone, community health workers, and kiosk-based diagnostics. The practical implication is delivery architecture: non-interventional care is inherently scalable through digital and community channels; interventional care is not.

   3.2 The Four Quadrants

   
   Figure 1. The 2x2 Healthcare Framework: Quadrant Classification
   Healthcare services classified by time sensitivity (Acute vs Non-Acute) and intervention dependency (Non-Interventional vs Interventional).

   Each quadrant has a distinct operational signature that determines its planning requirements across four dimensions: location, infrastructure, workforce, and financing.

   • Acute Non-Interventional: Triage, rapid clinical assessment, stabilization protocols, first contact in emergency settings. The defining activity is determining acuity and directing patients to appropriate resources rapidly. This quadrant does not require surgical theatre or intensive procedural equipment, but it does require geographic proximity to the population it serves. The principal workforce is nursing and paramedical; the principal technology is structured triage and assessment protocol.
   • Acute Interventional: Emergency surgery, trauma resuscitation, intensive care, cardiac catheterization for STEMI, stroke thrombolysis, emergency obstetric intervention. This quadrant requires both geographic proximity and substantial infrastructure investment. It is the quadrant for which time-to-care standards are most firmly established in clinical evidence, and for which the case for proximity is strongest
   • Non-Acute Non-Interventional: Chronic disease monitoring, counselling, medication titration, physiotherapy guidance, preventive care, mental health support, longitudinal follow-up, and survivorship care. This quadrant has the greatest potential for transformation through digital delivery - and is the least well-served by the existing tier classification, which provides no conceptual basis for distinguishing it from interventional care.
   • Non-Acute Interventional: Elective surgery, complex specialist procedures, cancer surgery and radiotherapy, joint replacement, ophthalmological surgery, organ transplantation, and high-volume procedural care. This quadrant is the natural home of specialist clusters. Its location logic is market-driven rather than population-proximity-driven: concentration of volume produces better outcomes, lower costs, superior supply chains, and deeper talent pools.

   3.3 Specialties Span Multiple Quadrants

   The framework classifies episodes and modes of care delivery rather than entire medical specialties. This distinction is essential and should not be misread as a weakness. On the contrary, the fact that specialties span multiple quadrants is evidence that planning should be organised around operational care characteristics rather than specialty labels.

   Oncology illustrates this most clearly. Diagnostic consultation and survivorship follow-up fall in Q3 (Non-Acute Non-Interventional). Radiotherapy and oncologic surgery fall in Q4 (Non-Acute Interventional). Emergency neutropenic sepsis may fall in Q1 or Q2 depending on severity and the intervention required. Chemotherapy delivery spans multiple quadrants depending on the toxicity profile, urgency, monitoring requirements, and infrastructure dependency of the specific regimen. An oncology planning framework derived from this classification would therefore specify different location, infrastructure, and financing requirements for each component of oncology care - a far more useful output than the single label of 'tertiary' that the existing framework provides.

   Dialysis presents a further instructive case. While renal failure is a chronic disease state, interruption of dialysis rapidly produces acute physiological deterioration. Dialysis therefore behaves operationally closer to acute support infrastructure than to elective specialty care. It requires equipment-intensive but comparatively modular infrastructure that can be deployed at district or urgent-care level without requiring the full ecosystem of a specialist cluster. This operational observation generates a specific planning implication - dialysis coverage should follow a proximity logic closer to Q2 than Q4 - that the tier classification cannot generate.

   
   Figure 2. Patient Journeys Across the 2x2 Healthcare Framework
   Illustrative patient pathways showing how clinical journeys move dynamically across quadrants depending on acuity and intervention dependency. Examples include oncology (spanning Q3→Q4→Q1/Q2), dialysis (proximate to Q2 despite chronic etiology), and stroke care (Q1 triage → Q2 intervention → Q3 rehabilitation).

4. Evidence by Quadrant

   4.1 Q2: Acute Interventional - Time, Distance, and Mortality

   The evidence base for the acute interventional quadrant is the strongest of the four and provides the empirical foundation for the framework's location logic. The concept of the 'golden hour' in trauma care - resuscitation and hemorrhage control within sixty minutes of major injury substantially reducing mortality - was developed by R. Adams Cowley at the Maryland Institute for Emergency Medical Services Systems and has since been refined through decades of trauma registry data. While the sixty-minute threshold is now understood as a heuristic rather than a sharp biological boundary, the underlying relationship between time-to-care and outcome in major trauma is among the most consistently replicated findings in clinical medicine.

   MacKenzie and colleagues, publishing in the New England Journal of Medicine in 2006, demonstrated that patients treated at designated Level I trauma centres had a 25 percent lower risk of death than those treated at non-trauma centres after controlling for injury severity. The advantage was partially mediated by proximity and transport time. Across cardiac emergencies, the ACC/AHA guidelines establish a door-to-balloon time under ninety minutes as the standard for primary percutaneous coronary intervention in STEMI, based on trial evidence showing that each thirty-minute delay is associated with approximately one additional death per 100 patients treated. For ischaemic stroke, the IST-3 trial and subsequent meta-analyses confirm a 4.5-hour therapeutic window for thrombolysis, within which earlier treatment produces substantially better outcomes.

   These findings have a direct and specific planning implication. The ninety-percentile one-hour travel time standard proposed in this framework is consistent with international evidence on the time thresholds beyond which mortality increases substantially. In settings where this standard cannot be met for all populations, the planning obligation is to make the access gap explicit and to fund transport infrastructure to bridge it - not to paper it over with a tier label.

   4.2 Q1: Acute Non-Interventional - Triage as a Clinical System

   The acute non-interventional quadrant performs a function that is often undervalued because it does not involve intervention: it separates patients who need immediate Q2 resources from those who can safely wait, be redirected, or be managed remotely. The evidence for formalized triage systems is strong. The Manchester Triage System, developed in 1996 and now used across Europe, Australasia, and parts of Asia, has been shown in multiple studies to reliably categorize patients by clinical priority and reduce inappropriate use of emergency resources.

   The principal innovation available in this quadrant is digital extension. Structured telephone triage systems - NHS 111 in the United Kingdom being the most extensively studied - have demonstrated that significant proportions of callers can be safely managed without physical emergency attendance. This is a direct validation of the non-interventional digital delivery model: the clinical function of triage and stabilization assessment can, for a large subset of presentations, be performed through information exchange rather than physical contact. The implication for the framework is that Q1 can be partially or substantially virtualized, serving as a pre-filter that reserves Q2 infrastructure for patients who genuinely require it.

   4.3 Q3: Non-Acute Non-Interventional - Digital Opportunity and Its Honest Limits

   The potential of the Non-Acute Non-Interventional quadrant to be transformed by digital and community delivery is large, but the current evidence base must be read carefully. A systematic review by Omboni and colleagues found that telemonitoring combined with clinical decision support produced better blood pressure control than usual care in the majority of randomized trials reviewed. For diabetes, evidence of digital interventions on HbA1c is positive in some populations but inconsistent across settings, particularly where digital literacy and device access are barriers. For heart failure, the TIM-HF2 trial found that structured telemonitoring reduced all-cause mortality and improved quality of life in a protocol-managed cohort, though effect sizes in unselected populations have been more modest.

   These results should not be interpreted as evidence against digital Q3 delivery. Many early telemedicine programmes represent immature implementations of transitional technology architectures - fragmented, poorly integrated with clinical workflows, and lacking the longitudinal patient data, algorithmic triage support, and escalation pathways that a well-designed digital chronic care system would incorporate. The relevant comparison is not between a poorly designed digital programme and well-resourced in-person care, but between a well-designed digital system - incorporating structured data, validated workflows, physiological monitoring, and AI-supported guardrails - and the fragmented, inconsistent, often inaccessible in-person chronic care that most populations in low- and middle-income countries actually receive. On that comparison, the case for digital Q3 delivery is considerably stronger.

   The evidence for community health worker interventions in chronic disease management is particularly robust in low- and middle-income settings, where Lewin and colleagues' Cochrane review found consistent improvements in chronic disease outcomes attributable to community-based non-physician delivery. This provides strong support for the non-interventional delivery model in Q3 even where digital infrastructure is limited.

   4.4 Q4: Non-Acute Interventional - Volume, Outcomes, and the Cluster Effect

   The case for allowing Non-Acute Interventional care to concentrate geographically rests on one of the most consistently replicated findings in health services research. Luft and colleagues, publishing in the New England Journal of Medicine in 1979, first demonstrated that hospitals performing higher volumes of complex procedures had significantly better outcomes. Birkmeyer and colleagues quantified this relationship across major procedures: mortality for pancreatic resection was 3.8 percent at the highest-volume hospitals versus 16.3 percent at the lowest-volume hospitals; for esophagectomy, 3.4 versus 12.2 percent. These differences are not attributable to the innate skill of individual surgeons alone but to the entire system within which they work - volume of procedures, team experience, specialized nursing, anesthetic expertise, intensive care capability, and re-intervention protocols.

   The Indian experience offers some of the most compelling illustrations of what this dynamic produces at health system level. Aravind Eye Care, founded in Madurai in 1976, now performs over 400,000 surgeries annually, achieving complication rates comparable to NHS benchmarks at a fraction of the cost. The efficiency is not despite the volume; it is because of it. Task-shifting, specialized theatre design, supply chain optimization, and team training are viable only above volume thresholds that a geographically dispersed model could never reach. Shankar Nethralaya in Chennai has created not merely a high-volume hospital but an ecosystem: fellowship programmes drawing ophthalmologists from across South Asia, device and pharmaceutical suppliers locating near the cluster to serve its volume, and a reputation attracting patients internationally. Similar cluster dynamics characterize the cardiac surgery concentrations in Chennai and Hyderabad, the oncology centres in Mumbai, and - relevant to the author's own operational experience - the pattern of patient travel from district-level settings to high-volume referral centres that consistently outperformed attempts to replicate specialist care locally.

   Porter's work on economic clusters and Krugman's economic geography framework provide the theoretical underpinning: spatial concentration of related economic activity generates externalities - shared labour pools, specialized suppliers, knowledge spillovers - that improve productivity and quality beyond what any dispersed model can achieve. The healthcare cluster is not an exception to this principle; it is one of its clearest manifestations.

5. Implications for Health System Architecture

   5.1 Location and Infrastructure Planning

   The framework generates differentiated location principles for each quadrant. Acute facilities (Q1 and Q2) must be located according to population access standards, not market viability or administrative convenience. The appropriate measure is travel time, not geographic distance: a fifty-kilometre highway journey and a ten-kilometre mountain road journey may represent radically different access realities. The framework proposes a ninety-percentile one-hour travel time standard as the planning target, with three hours as the minimum acceptable threshold in resource-constrained contexts. These standards should be explicit obligations in national planning documents.

   Non-Acute Non-Interventional care (Q3) should be distributed as widely as possible, including through digital and community channels that reduce the effective distance between patient and provider to zero. The planning priority for Q3 is connectivity, device access, community health worker training, and digital platform design - not physical facility construction. Non-Acute Interventional facilities (Q4) should be permitted and, through appropriate referral and transport policies, encouraged to concentrate where ecosystems are viable. The policy obligation is to fund patient pathways to these clusters - not to prevent cluster formation in the name of distribution equity.

   
   Figure 3. Geographic Logic of the 2x2 Healthcare Framework
   Different categories of healthcare obey fundamentally different geographic rules. Acute quadrants (Q1-Q2) require proximity-based planning driven by the relationship between delay and mortality. Non-Acute quadrants (Q3-Q4) can be distributed digitally or concentrated into high-volume specialist clusters. Healthcare location planning should be governed by operational logic rather than institutional tier designation.

   5.2 Workforce by Quadrant

   Each quadrant requires a distinct workforce model. Q2 (Acute Interventional) demands full multi-disciplinary specialist teams with continuous availability, anesthetic depth, and intensive care capacity: this is the most resource-intensive workforce model and the principal constraint on geographic distribution of acute interventional care. Q1 (Acute Non-Interventional) can be staffed substantially by trained nurses, paramedics, and community health workers supported by structured protocols and digital decision support - a workforce model accessible at district level.

   Q3 (Non-Acute Non-Interventional) is precisely the domain where task-shifting generates its greatest returns. Community health workers, trained nurses, pharmacist-led chronic disease management programmes, and AI-supported digital platforms can deliver the longitudinal monitoring, medication management, and behavioral support that constitute the majority of Q3 care - at a fraction of the cost of physician-led in-person delivery. The WHO Task Shifting report provides the evidentiary basis for this redistribution across multiple clinical categories.

   Q4 (Non-Acute Interventional) requires the deepest specialist concentration but also enables the most efficient specialist utilization: high-volume specialist clusters allow surgeons and proceduralists to operate at the top of their training, supported by specialised teams and supply chains. The cluster model is not merely a market outcome; it is the operationally superior workforce utilization model.

   5.3 Digital Infrastructure and Artificial Intelligence

   The non-interventional axis of the framework provides a principled basis for digital health investment that the tier classification cannot generate. Any service that is genuinely non-interventional is, in principle, a candidate for digital or community delivery. This is a broader category than most health systems have recognized: it encompasses not only routine chronic disease monitoring but also mental health counselling, physiotherapy guidance, medication management, certain forms of diagnostic interpretation, nutritional support, and a substantial proportion of first-contact triage.

   Digital infrastructure should not be treated as an optional technological overlay on a physical delivery system. In the non-interventional quadrants - Q1 and Q3 - digital systems are increasingly the primary delivery architecture. Their scalability depends on continuity of longitudinal patient data, algorithmic triage support, remote supervision capability, and integrated escalation pathways. Many inefficiencies in existing health systems - duplicated investigations, coordination failures, medication errors, delayed escalation - arise not from insufficient clinical expertise but from fragmented information systems that force each encounter to begin without context.

   Artificial intelligence is likely to disproportionately transform the non-interventional quadrants. In Q3, AI-supported monitoring, pattern recognition, and proactive escalation can extend the effective reach of clinical supervision across large patient populations. In Q1, AI-assisted triage can improve the consistency and accuracy of clinical prioritization. In Q4, AI is primarily a tool for planning and outcome measurement rather than primary delivery. Interventional quadrants remain constrained by the physical requirements of procedure and infrastructure; non-interventional quadrants do not.

   5.4 Insurance and Financing Design

   The framework has significant implications for insurance benefit design. The dominant dysfunction of health insurance worldwide - creating friction precisely where the system should be frictionless, and permitting overuse where gatekeeping would be most valuable - can be traced to the application of uniform incentive structures across qualitatively different categories of care.

   A framework-informed insurance design would apply co-payments and utilization management primarily to Q3 care, where the risk of low-value utilization is highest and the cost of deterrence is lowest. Acute pathways (Q1 and Q2) should be largely free at the point of use - the evidence consistently shows that co-payments on emergency presentations deter necessary as well as unnecessary care, with adverse outcome effects that outweigh administrative savings. Acute interventional infrastructure cannot be financed purely on utilization economics because the value of the system lies partly in continuous readiness capacity. Trauma theatres, ICU beds, blood banks, and emergency specialist teams must exist before they are needed; Q2 therefore behaves economically more like strategic infrastructure than conventional market service delivery. Complex elective care (Q4) may appropriately involve cost-sharing, but its structure should incentivise use of high-volume specialist centres rather than simply imposing financial barriers.

   This logic also clarifies the appropriate architecture for insurance pre-authorization and network design. Pre-authorization adds value in Q3 and Q4, where care is planned and clinical alternatives exist. It adds no value and considerable harm in Q1 and Q2, where care is urgent and alternatives are dangerous. Networks should be designed to ensure that all acute care is in-network by geography and that Q4 specialist clusters are appropriately incentivized for high-volume referral.

   
   Figure 4. Financing and Insurance Logic Across the 2x2 Healthcare Framework
   Acute quadrants (Q1-Q2) require readiness financing and minimal financial friction at point of use. Non-Acute quadrants (Q3-Q4) enable utilization management, longitudinal population-health financing, and bundled specialist reimbursement. Payment models, insurance design, and capital allocation should align with acuity and intervention dependency rather than institutional hierarchy.

6. Limitations and Critiques

   6.1 The Boundary Problem

   The most immediate conceptual challenge is the definition of the acute-non-acute boundary. Many presentations are neither clearly time-critical nor clearly elective. The patient with escalating heart failure who has not yet decompensated, the child with worsening asthma, the elderly patient with early septic foot - these sub-acute presentations occupy a clinical middle ground the binary axis does not easily accommodate. The framework's position is that this is a challenge of clinical implementation rather than a conceptual flaw: the planning implications of the two categories are sufficiently distinct to justify the binary distinction, and the clinical grey zone - like all clinical grey zones - requires clinical judgment rather than algorithmic classification. The key planning implication is that health systems need explicit protocols for managing sub-acute presentations, including clear escalation criteria and transport arrangements.

   6.2 Mental Health as a Validation of the Non-Interventional Axis

   Rather than presenting an exception to the framework, mental health services - much like oncology - serve as a prime validation of its core thesis: operational characteristics, rather than medical specialty, should dictate delivery architecture. The traditional tier system has long struggled to classify mental health effectively, often isolating it from broader health system planning. Under the proposed 2x2 framework, mental health maps seamlessly onto the operational quadrants.

   The vast majority of mental health care is non-acute and non-interventional, placing it firmly in Q3. Here, digital and personal-device-based delivery is not merely a fallback but often the superior modality, effectively bypassing the severe barriers of societal stigma and privacy concerns that deter in-person attendance in many societies. Furthermore, initial psychiatric assessment and crisis triage are highly amenable to the Q1 (Acute Non-Interventional) quadrant. Standardized clinical instruments, such as DSM-5-derived scales, can be easily operationalized through digital or tele-triage platforms to determine clinical acuity. Once an acute risk is identified, the patient can be deliberately routed to the necessary physical or interventional setting. The mental health use case emphatically reinforces the framework's underlying premise: specialty labels must not be the dominant factor in the location, design, or financing of healthcare infrastructure.

   6.3 Low- and Middle-Income Country Application: An Economic Imperative

   A common assumption is that rigorous planning frameworks requiring specific access and infrastructure standards are a luxury for high-income nations. The operational reality is precisely the opposite. Inefficiency, misallocated capital, and mislocated facilities are luxuries only wealthy countries can afford to bear. In resource-constrained environments, deploying capital with operational precision is an absolute economic imperative.

   The existing primary-secondary-tertiary model actively harms health systems by encouraging the construction of the wrong facilities in the wrong geographic locations, thereby squandering scarce financial and human resources. By contrast, this 2x2 framework forces capital to follow operational logic - for instance, directing funds toward highly scalable Q3 digital networks rather than underutilized, geographically dispersed physical facilities for non-acute non-interventional care. This is not a theoretical projection. The framework was specifically developed, tested, and iterated over fifteen years across highly resource-constrained regions of eastern and northern India. It is precisely in these environments that the framework's operational clarity is most critical, ensuring that investment aligns directly with the actual geographic and interventional needs of the population rather than legacy institutional hierarchies.

   6.4 Institutional and Political Resistance

   Any reclassification of healthcare involves institutional interests. Hospitals classified as tertiary may resist reclassification that affects their funding or status. Primary care practitioners who have built professional identity around the "primary care" label may object to its dissolution. WHO and international agencies have significant investments in the existing framework. None of these objections invalidate the analytical case for reclassification. They are, however, real obstacles to adoption and deserve acknowledgment.

7. Prior Art and Novelty

   A review of existing healthcare classification literature identifies several frameworks that partially overlap with the proposed approach. The WHO primary-secondary-tertiary framework classifies by disease management stage rather than acuity or delivery modality. Market tier classifications distinguish by procedure complexity and cost. The Essential Health Package approach (DCP3) classifies by burden of disease and cost-effectiveness, providing a prioritisation tool but not a delivery architecture. The Chronic Care Model (Wagner, 1998) identifies the distinct requirements of chronic disease management and emphasizes community and self-management - corresponding partially to Q3 - but does not address acuity or interventional complexity. Porter and Teisberg's value-based healthcare framework introduces integrated practice units and the concentration of complex care, aligning with the Q4 clustering logic, but does not address acute care access standards or non-interventional digital delivery.

   No existing framework appears to combine the acute-non-acute axis with the interventional-non-interventional axis and derive from that combination differentiated location, workforce, technology, and financing principles for each quadrant. The individual elements of the framework are well-evidenced; the combination and its operational implications appear to be novel.

8. Policy Recommendations

   1. Adopt the 2x2 framework as the basis for national health facility planning and capital investment, replacing the primary-secondary-tertiary tier system in health planning documents.

   2. Establish travel-time access standards for acute facilities (Q1 and Q2) as binding planning obligations: 90th-percentile population within one hour as the target; universal coverage within three hours as the minimum threshold in resource-constrained settings. Map and publish current coverage gaps.

   3. Develop national strategies for digital and community delivery of Q3 (Non-Acute Non-Interventional) services, with investment in connectivity, device access, community health worker training, and digital platform design. Set targets for the proportion of non-acute non-interventional care delivered outside hospital settings.

   4. Redesign insurance benefit packages and co-payment structures along quadrant lines: remove or minimize co-payments in acute pathways (Q1 and Q2); apply graduated utilization management to Q3; structure Q4 cost-sharing to incentivize use of high-volume specialist clusters.

   5. Enable Q4 specialist cluster development by removing regulatory barriers to geographic concentration of elective specialist services, while investing in subsidised transport and referral infrastructure to ensure equitable access to clusters across all population groups

   6. Treat digital infrastructure investment as foundational health system architecture - particularly for Q1 and Q3 - rather than as a supplementary technological programme. Establish minimum interoperability, data continuity, and escalation protocol standards for digital health delivery.

9. Conclusion

   The primary-secondary-tertiary framework has served its historical purpose. It gave health systems a shared vocabulary at a moment when that vocabulary was urgently needed. But it has calcified into a set of assumptions that now impedes more than it enables - obscuring the practical distinctions that matter for planning, financing, and delivering care in a world defined by digital technology, specialized clinical clusters, and time-sensitive emergency medicine.

   The 2x2 framework proposed in this paper is not a theoretical exercise. It emerged from the operational experience of building health systems in settings where the consequences of misclassification are immediate and visible: preventable deaths attributable to distance from emergency care; specialist services that cannot sustain themselves when dispersed to meet bureaucratic distribution mandates; chronic disease loads that overwhelm hospital outpatient departments that were never designed for them. The framework is a codification of what operational experience in those settings consistently revealed.

   The framework's central thesis is not merely that this is a better classification system. The larger argument is that healthcare infrastructure should be organized according to operational systems logic rather than institutional tradition or specialty hierarchy. That reorganization - grounded in acuity and intervention dependency - generates coherent, differentiated, and actionable guidance on where to build, how to staff, which services to digitize, and how to finance the result. That is the standard by which any health system planning framework should be judged, and it is the standard by which this one deserves to be tested.

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About the Author

Dr. Syed Sabahat Azim Founder & Chairman, Glocal Healthcare Systems Pvt. Ltd., India │ Founder & CEO, Zoya Technologies (Zoyel), Dubai, UAE

Dr. Syed Sabahat Azim is a physician, former Indian Administrative Service officer (Batch of 2000), and healthcare entrepreneur. He is Founder and Chairman of Glocal Healthcare Systems Pvt. Ltd., which built one of India's largest rural health delivery networks spanning 11 multi-specialty hospitals and over 512 digital dispensaries across Bihar, West Bengal, Odisha, Uttar Pradesh, Rajasthan, and Gujarat. He is currently Founder and CEO of Zoya Technologies (Zoyel), Dubai, developing sovereign edge AI clinical systems for national-scale healthcare deployment.

The framework presented in this paper emerged from fifteen years of operational healthcare system design and implementation through Glocal Healthcare Systems across resource-constrained settings in eastern and northern India.

Dr. Azim has served on advisory bodies including the NITI Aayog Committee on Frontier Technologies in Healthcare, the FICCI Healthcare Services Committee, and the Consultative Committee on Ayushman Bharat. He is a World Economic Forum / Schwab Foundation Social Entrepreneur of the Year (2020) and Bloomberg Businessweek Game Changer (2020).

Correspondence: sabahatazim@gmail.com