Continuity of Care in Digital Clinics

1. Research problem

Which governance arrangements prevent fragmentation across telehealth, diagnostics and in-person follow-up? The project would examine this question within health systems & life sciences, where institutional arrangements, measurable outcomes and the costs of implementation may point in different directions. It is designed as a falsifiable research programme rather than a claim that the proposed mechanism has already been demonstrated.

2. Working proposition

Shared clinical responsibility and data-continuity rules may reduce avoidable care gaps. This is a testable proposition, not an established result. Competing explanations and contexts in which the mechanism fails should be specified before data collection begins.

3. Research theses for examination

1. Mechanism: Shared clinical responsibility and data-continuity rules may reduce avoidable care gaps.
2. Boundary conditions: Assess whether the proposition remains plausible when jurisdiction, organisational maturity, resource constraints or stakeholder interests change.
3. Disconfirmation: Record which observations would favour an alternative explanation or show that the proposed approach adds no meaningful value.

4. Research design and methods

Map patient pathways and analyse anonymised continuity indicators, subject to ethics approval. The initial protocol should establish sampling criteria, the unit of analysis, definitions of variables or legal concepts, a transparent source register, and access and ethics approvals where necessary.

5. Evidence horizon and relevant developments

WHO World Health Statistics 2026 consolidates health-related SDG indicators and reviews inequalities and progress in health outcomes. It supplies population-level context, not proof that a proposed clinical intervention works.

WHO extended its Global Strategy on Digital Health through 2027, emphasising the combined financial, organisational, human and technological requirements of health-system transformation.

The cited publications provide current institutional context and candidate sources for the literature review. They do not certify the proposed hypothesis; original empirical work, careful comparison and jurisdiction-specific validation would still be required.

6. Planned work packages

1. Conceptual groundwork: Define the research object, terminology, competing frameworks and decision context.
2. Evidence mapping: Create an auditable inventory of relevant primary evidence, with dates, definitions, strengths and limitations.
3. Evaluation: Map patient pathways and analyse anonymised continuity indicators, subject to ethics approval; contrast results with alternative specifications, control cases or rival interpretations.
4. Critical review: Report missing observations, conflicting evidence, implementation costs and circumstances that limit transferability.
5. Translation into practice: Prepare the intended practical output and an independent review checklist.

7. Anticipated research product

Clinical continuity governance protocol. The deliverable will be evaluated against the research question and the evidence collected.

8. Limitations, ethics and scholarly integrity

At this stage no original sample, statistical test, clinical cohort or experimental result is claimed. Any future research involving human participants, proprietary data, medical outcomes or regulated activities must obtain the applicable permissions. Publicly accessible official publications are cited for context only; their findings are not represented as findings of BBARTI.

9. Selected institutional reading

• WHO · World Health Statistics 2026 ↗13 May 2026
• WHO · Global Strategy on Digital Health 2020–2027 ↗1 December 2025