Oncology Hospital Management: Chapter Portfolio
Chapter portfolio · 16 chapters · 2026
Oncology Hospital Management: Chapter Portfolio
Four core training chapters and twelve supplementary chapters on managing cancer services as a system: flow and capacity, KPIs and quality, economics, AI and digitalisation, outcome measurement and causal evaluation. Each record links to its English topic page.
About this portfolio. The chapters were written as training texts for an oncology hospital management training series. The four core chapters are available in English and Turkish; the supplementary chapters were written in Turkish and are presented here as English topic pages. Two short Turkish drafts (an introductory system management text and an early KPI draft) were merged into Chapters 1 and 2, and a short variable report was merged into the variable taxonomy chapter.
How to use it. Start with the core chapters for the management framework, then follow the supplementary chapters for depth on flow, measurement and evaluation. Search matches titles and key sections.
Core Training Chapters
The four-part core text of the oncology hospital management programme, available in English and Turkish.
Managing an Oncology Hospital as a System
Patient Journey, Process and Capacity Management
- Publisher
- Oncology Hospital Management Training Series
- Edition
- 2026
- Languages
- English, Turkish
Treats the oncology hospital as one service line and links the patient journey, process, bottleneck and capacity management through a single intermediate output: time from diagnosis to treatment.
Key sections8 entries
- Seeing the hospital as a system
- The patient journey: diagnosis, pathology, MDT, treatment and follow-up
- Process management: mapping, measurement and TDABC
- Bottleneck management and the human-resource bottleneck
- Integrated capacity: chemotherapy chairs, theatres and radiotherapy
- Managing the time from diagnosis to treatment
- The Turkish context
- Patient harm warnings and durable principles
Performance and Quality Management in an Oncology Hospital
From KPI to Management Decision
- Publisher
- Oncology Hospital Management Training Series
- Edition
- 2026
- Languages
- English, Turkish
Builds a four-layer KPI architecture (structure, process, outcome, balancing) and a five-stage cycle that turns an indicator into a management decision, with evidence from radiotherapy QA, chemotherapy safety and PROMs.
Key sections8 entries
- Not everything measurable is a good KPI
- KPI architecture and a core KPI set
- Waiting time as a clinical risk indicator
- 30-day surgical mortality, radiotherapy QA and chemotherapy safety
- Incident reporting, peer review and tumour boards
- Data infrastructure and patient-reported outcomes
- The five-stage cycle from KPI to decision
- The Turkish national indicator and accreditation framework
The Economics of Oncology
Cost, Value, Resource Allocation and Drug Management
- Publisher
- Oncology Hospital Management Training Series
- Edition
- 2026
- Languages
- English, Turkish
Replaces "how much did we spend?" with "how much health did we produce per unit of resource?", covering QALY and ICER, ESMO-MCBS and ASCO frameworks, value-based payment, drug waste reduction, radiotherapy economics and financial toxicity.
Key sections8 entries
- Defining cost correctly
- Value, QALY and ICER
- ESMO-MCBS and the ASCO Value Framework
- Willingness-to-pay thresholds and value-based payment
- High-cost drug management: biosimilars, dose rounding, vial sharing
- Radiotherapy economics and hypofractionation
- Financial toxicity and end-of-life care
- The five-stage value chain and economic fallacies
The Next-Generation Oncology Hospital
MDT, Data, Digitalisation and Management Analytics
- Publisher
- Oncology Hospital Management Training Series
- Edition
- 2026
- Languages
- English, Turkish
Positions AI as verified decision support: automatic contouring, QA, radiomics and LLMs at the tumour board, on top of interoperable data infrastructure and management analytics, with six cautions about patient harm.
Key sections8 entries
- What next-generation means
- AI applications in oncology
- Tumour boards and large language models
- Data infrastructure and interoperability (FHIR, mCODE)
- Management analytics: flow, discharge and no-show prediction
- Patient harm cautions
- The five-step digitalisation chain
- The Turkish digital health context
Flow, Access and Capacity
Supplementary chapters that go deeper into waiting, the patient journey, bottlenecks and capacity.
Managing Waiting in Health Services
Strategies, Techniques, Tools and Measurement Approaches
- Publisher
- Oncology Hospital Management Training Series
- Edition
- 2026
- Languages
- Turkish original; English topic page
Separates objective time, perceived time and expectation, classifies interventions into four strategy families, and proposes a six-dimension measurement system with safe waiting thresholds.
Key sections7 entries
- Objective time, perceived time and expectation
- Stages and psychological burden of waiting
- Four strategy families: duration, perception, active waiting, fairness
- Demand, capacity and variability
- Six-dimension measurement system
- Evaluation design and digital tools
- An eight-step decision framework
The Patient Journey in Oncology
Access, Waiting, Referral and Transitions (101)
- Publisher
- Oncology Hospital Management Training Series
- Edition
- 2026
- Languages
- Turkish original; English topic page
A 101 text on the links of the oncology journey (access, intervals, geography and cost, referral and iatrogenic delay) with five patient harm warnings.
Key sections7 entries
- What the patient journey is
- Access: the first and most unequal link
- Waiting and time intervals
- Geography, travel and cost
- Referral, rapid access and flow design
- Iatrogenic delay
- Warnings and durable principles
Bottleneck Management in Oncology
Finding the Constraint That Sets the Pace (101)
- Publisher
- Oncology Hospital Management Training Series
- Edition
- 2026
- Languages
- Turkish original; English topic page
A 101 text applying the theory of constraints to oncology: finding the bottleneck, the diagnostic and capacity bottlenecks, and process bottlenecks in pharmacy, infusion and appointments.
Key sections6 entries
- Constraint, queue and capacity
- Finding the bottleneck
- Diagnosis and staging bottleneck
- Capacity bottleneck
- Process bottlenecks: pharmacy, infusion, appointments
- Warnings and durable principles
The Capacity Problem in Oncology and How to Solve It
A capacity stack, three laws and six levers
- Publisher
- Oncology Hospital Management Training Series
- Edition
- 2026
- Languages
- Turkish original; English topic page
Introduces the four-layer capacity stack, Little's Law, the variability law and the occupancy trap, a minimum capacity dashboard, six levers in the right order and a 90-day roadmap.
Key sections7 entries
- The capacity stack
- Three laws every manager should know
- What the literature says
- A minimum capacity dashboard
- Six levers in the right order
- A 90-day roadmap
- Books, approaches, tools and techniques
Data, AI and Process Mining
Supplementary chapters on artificial intelligence and on reconstructing real patient flow from event data.
Oncology and Artificial Intelligence
A 101 Introduction
- Publisher
- Oncology Hospital Management Training Series
- Edition
- 2026
- Languages
- Turkish original; English topic page
Introduces AI, machine learning, radiomics and LLMs and reviews evidence in segmentation, QA, response prediction, symptom management and tumour board decisions, with five patient harm warnings.
Key sections7 entries
- Basic concepts
- Segmentation and automatic contouring
- Treatment planning and quality assurance
- Radiomics and response prediction
- Symptom management and supportive care
- LLMs and clinical decisions
- Patient harm warnings
Process Mining 101 for Oncology Hospitals
Seeing and Managing Real Patient Flow
- Publisher
- Oncology Hospital Management Training Series
- Edition
- 2026
- Languages
- Turkish original; English topic page
A manager-oriented introduction to event logs, discovery, conformance checking and enhancement in oncology, with data quality, ethics and a seven-stage project model.
Key sections8 entries
- What process mining is and is not
- Core concepts and the event log
- Discovery, conformance and enhancement
- Performance analysis in radiation oncology
- Algorithms and model quality
- Prediction, object-centric mining and simulation
- Data quality, ethics and governance
- Project model and priority uses
Variables, Outcomes and Success Measures
Bibliometric analyses of how the oncology management literature defines variables, measures outcomes and judges success.
Variable Taxonomy in Oncology Operations and Management Research
Roles, Relationships and Effects
- Publisher
- Oncology Hospital Management Training Series
- Edition
- 2026
- Languages
- Turkish original; English topic page
Maps 45 variables in six methodological roles, an effect matrix of 40 relationships and eight causal axes within a Donabedian nomological network.
Key sections7 entries
- Corpus and method
- Forty-five variables in six roles
- Role flexibility
- Illustrations from the literature
- Effect matrix and eight causal axes
- Donabedian nomological network
- Gaps and research agenda
Medical Outcome Scales in Oncology Management Research
Which instruments, which outcomes
- Publisher
- Oncology Hospital Management Training Series
- Edition
- 2026
- Languages
- Turkish original; English topic page
Catalogues 28 named instruments across 152 articles, from EORTC QLQ-C30 and CTCAE to COST and ProQOL, and maps instrument domains to medical outcomes.
Key sections6 entries
- How the inventory was built
- Quality of life and utility instruments
- Clinical and toxicity instruments
- Symptom and psychosocial instruments
- Instrument domain by outcome cross-tabulation
- Examples from the management core
Oncological Success Parameters
Survival, Response and Value
- Publisher
- Oncology Hospital Management Training Series
- Edition
- 2026
- Languages
- Turkish original; English topic page
Catalogues 22 success endpoints across 327 articles, sets out a four-tier hierarchy and documents the rise of the QALY over overall survival in management research.
Key sections7 entries
- Survival endpoints
- Response and control endpoints
- Surgical, composite and inverse indicators
- A four-tier hierarchy
- Distribution and trend 2020 to 2026
- Evaluation: two lenses of success
- Management-success bridge studies
Causal Evaluation Series
A three-report series that moves from mapping causal chains to formal identification and realist evaluation.
Causal Chain Analysis in Oncology Management Research
Dependent, independent, mediating, moderating and control variables
- Publisher
- Oncology Hospital Management Training Series
- Edition
- 2026
- Languages
- Turkish original; English topic page
Reads an 856-article corpus to build a 69-variable inventory and eight candidate causal chains, showing that the organisational middle of the chain is largely untested.
Key sections6 entries
- Theoretical anchors
- Corpus profile
- Variable inventory by role
- Eight candidate causal chains
- Evidence density and gaps
- Eight frameworks for stronger evaluation
DAGs and Target Trial Emulation for Oncology Management Research
Eight causal chains
- Publisher
- Oncology Hospital Management Training Series
- Edition
- 2026
- Languages
- Turkish original; English topic page
Draws a DAG for each chain, derives back-door adjustment sets, flags mediators and colliders, writes target trial protocols and shows by simulation how common designs reverse the sign of effects.
Key sections7 entries
- Method in brief
- Identifiability summary
- Chain-by-chain DAG results
- Target trial emulation principles
- Simulations S1 to S3
- Three common errors
- Recommendations and limitations
Realist Evaluation and QCA of Complex Interventions in Oncology Management
MDT, telehealth/ePRO and QA/QI
- Publisher
- Oncology Hospital Management Training Series
- Edition
- 2026
- Languages
- Turkish original; English topic page
Extracts 16 CMO configurations from 59 studies, identifies five cross-family mechanisms and uses csQCA to arrive at the Structure x Loop x Owner programme theory.
Key sections7 entries
- Method
- Programme theories for MDT, telehealth and QA/QI
- Five cross-family mechanisms
- QCA results
- Structure x Loop x Owner
- Managerial implications
- Evidence assessment and limitations
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