General details
EDIHs involved
Challenges
Before developing Proglance, INNO SOFT faced a common challenge encountered by healthcare providers, clinics, and municipalities: health screening processes were fragmented, inconsistent, and heavily reliant on manual data collection. Screenings such as BMI measurement, blood pressure monitoring, vision checks, and lifestyle assessments were conducted using different tools and paper-based forms, making it difficult to consolidate data or track individual well-being over time.
This lack of standardization limited the ability of municipal authorities and clinics to:
- identify health risks early,
- monitor trends across communities,
- design prevention programs based on evidence,
- or easily scale screening campaigns to multiple locations and multilingual populations.
Furthermore, healthcare workers spent considerable time manually collecting, entering, and transferring patient information — a process prone to human error and inefficiencies.
The absence of a structured digital screening environment also prevented organizations from leveraging advanced analytics or preparing datasets suitable for future AI-enabled diagnostic tools.
The core challenge was therefore to create a unified, interoperable, and user-friendly digital platform that could support large-scale health screenings, empower decision-makers with data-driven insights, and lay the groundwork for next-generation, personalized prevention services.
Solutions
The intervention focused on building a platform capable of automatically converting any screening—regardless of the device used, the team performing it, or the physical location—into a coherent, structured digital record.
Creation of a Unified Digital Data Model
EDIH experts supported INNO SOFT in designing a standardized data architecture that organizes screening results into consistent fields and metadata categories. This eliminated the previous variability caused by paper forms or incompatible digital tools. As a result, screenings performed under different conditions are now fully comparable, searchable, and analyzable.
Where previously data was dispersed across paper sheets, Excel files, and incompatible reports, the new system enables automatic digitization of every screening. All results are stored in a centralized repository that supports quick filtering, exporting, and longitudinal tracking - drastically improving traceability and operational efficiency.
With the new digital workflow, the organisation can now conduct parallel screenings across multiple regions, involving different specialists and screening equipment. The platform ensures that all incoming data flows into the same standardized structure, solving the coordination challenges that had previously limited scalability.
Introducing Multidisciplinary Screening Capabilities
EDIH guidance enabled INNO SOFT to extend with additional screening types—physiological indicators, laboratory parameters, lifestyle surveys—were integrated into the same data model. This allows for cross-disciplinary health correlations, population-level trend monitoring, or the preparation of datasets suitable for future AI-driven diagnostics. Without structured digital workflows, screenings could not be efficiently coordinated across multiple sites, nor could specialists easily collaborate or contribute complementary examinations beyond ophthalmology.
Results and Benefits
The development of the Proglance platform delivered substantial operational, technological, and strategic benefits for the customer, transforming how health screenings are conducted, recorded, and analysed. The intervention enabled a shift from fragmented, paper-based workflows to a fully digital, scalable, and multidisciplinary screening ecosystem.
Operational Efficiency and Quality Improvement
- Complete digitisation of screening workflows resulted in faster, more reliable data collection across mobile and stationary screening campaigns.
- Standardised data structures eliminated inconsistencies between teams, locations, and equipment, ensuring that all screenings are comparable and traceable.
- Centralised data storage and retrieval significantly reduced time spent on manual consolidation and allowed instant access to screening histories and population-level insights.
- Improved collaboration between specialists, who can now contribute additional examinations to a shared digital record, enabling multidisciplinary screening packages.
Enhanced Analytical Capabilities
- The platform enables cross-disciplinary health correlations, combining vision tests, physiological indicators, lifestyle data, and laboratory markers within a single analytical framework.
- Clinics and municipalities can now conduct population-level trend monitoring, identifying risk patterns earlier and supporting evidence-based prevention strategies.
- Proglance establishes the foundation for future AI-driven diagnostic models, as structured, standardized datasets are now available for training predictive algorithms and developing personalised health insights.
Digital and Technological Advancements
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INNO SOFT strengthened its digital capacities by developing:
- Standardised screening data models
- Interfaces for exporting data to external systems
- A modular architecture ready for analytics, dashboards, and telemedicine
- The platform’s architecture supports future enhancements such as automated reporting, encrypted telemedicine exchanges, and integration with hospital information systems.
Scalability and Regional Impact
- The new digital workflow allows parallel screening campaigns to be conducted across multiple sites, specialists, or regions without data fragmentation.
- Municipalities can now deploy large-scale preventive health programs, supported by consistent data structures and multilingual capabilities.
- The ability to aggregate and analyse data at scale increases the value of community health interventions and strengthens public health planning.
Financial and Strategic Benefits
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Expected return on investment is tied to:
- Higher operational efficiency, reducing administrative load and manual processing
- New service models, including extended screening packages and data-driven prevention programs
- Future revenue streams from analytics modules, telemedicine tools, and integrations with clinical systems
- The platform positions INNO SOFT as a competitive provider of next-generation digital health solutions, enabling participation in international partnerships and research initiatives.
The Proglance platform fundamentally improved how health screenings are conducted and utilised. By providing a unified, standardised, and scalable solution, the project supports early risk detection, multidisciplinary collaboration, population-level insights, and long-term innovation—delivering clear value for both the SME and the broader healthcare ecosystem.
Perceived social/economic impact
The introduction of the Proglance platform has generated meaningful social and economic benefits for both healthcare providers and the broader community. By transforming fragmented screening workflows into a unified digital ecosystem, the solution enables more efficient delivery of preventive health services and enhances the long-term sustainability of regional healthcare initiatives.
Social Impact
- Improved early detection of health risks: Standardised and multidisciplinary screenings allow clinicians and municipalities to identify vision problems, lifestyle-related risks, and physiological abnormalities earlier, supporting timely interventions and reducing the likelihood of severe conditions developing unnoticed.
- Greater accessibility of preventive care: The platform supports multilingual, mobile, and multisite screening campaigns, making preventive health services more accessible to rural, underserved, or vulnerable populations.
- Enhanced health literacy: Individuals receive clearer, better-structured information about their health status, helping them make informed decisions and engage more actively in their well-being.
- Strengthened public health planning: Aggregated and anonymised data enables municipalities and institutions to detect population-level trends, allocate resources more effectively, and design targeted prevention programs.
Economic Impact
- Reduced operational costs: Digitised workflows minimise manual data entry, paper handling, and administrative overhead, allowing staff to focus on high-value clinical tasks.
- Increased efficiency in large-scale screenings: The ability to conduct parallel campaigns across multiple locations reduces logistical complexity and lowers overall programme costs.
- Foundations for new revenue streams: The platform positions the organisation to develop additional modules—analytics, telemedicine, AI diagnostics, system integrations—that can be commercialised and scaled across regions.
Measurable data
Operational Performance
- 80–90% reduction in manual data entry, thanks to automated digitisation of screening results.
- 100% consistency of screening records, due to standardised data fields across teams, equipment, and locations.
- 50–60% faster processing of screening campaigns, as mobile and stationary teams can now upload structured results in real time.
- 0% data loss during screenings, replacing previously inconsistent paper-based workflows.
Scalability and Coverage
- Ability to run parallel screenings at 3–5 different locations simultaneously, compared to single-site operations before digitisation.
- 2× increase in the number of screened participants per campaign, enabled by streamlined workflows.
- 100% multilingual support, expanding campaigns to diverse communities and regions.
Data Quality and Analytical Impact
- 100% digitally stored screening records, enabling traceability and longitudinal tracking.
- Integration of 5+ different screening types (vision, physiological metrics, lifestyle surveys, laboratory parameters).
- Creation of a dataset structure suitable for AI training with tens of thousands of potential records.
- 30–40% faster analytical reporting, due to structured data exports and dashboard-ready formats.
Digital Capacity Building
- 3 new digital skills profiles developed in the organisation (data standardisation, screening workflow engineering, interoperability/API design).
- 1 multidisciplinary screening logic framework established, enabling cross-indicator correlations previously impossible.
- 100% readiness for integration with future dashboard and analytics modules.
Economic and Strategic Outcomes
- 20–30% reduction in administrative costs for screening campaigns.
- Short to medium-term ROI (1–2 years) expected through new prevention services and additional modules (analytics, telemedicine).
- 100% reduction in paper-based processes, lowering recurring operational expenses.
- 1 new commercial product line (Proglance) ready for regional and international scaling.
Ecosystem Reach
- Platform prepared to support regional-level campaigns across municipalities, clinics, and public health stakeholders.
- Structured data model suitable for cross-disciplinary research, enabling the development of AI-based predictive models in the future.
Success story: Proglance and the new era in medical screening
Lessons learned
The implementation of the Proglance platform demonstrated that digitalising screening data is a complex yet highly valuable process that requires a coordinated technological, medical, and organisational approach. One of the most important lessons learned is that early data structuring and the definition of common standards for each examination type significantly simplify future analytics and the development of new functionalities. When specialists from different fields—ophthalmologists, laboratory technicians, physiotherapists—operate within a shared digital framework, it becomes possible to build multidisciplinary screening packages that are richer, more insightful, and more reliable for research and prevention.
A key challenge that emerged was the need for a robust GDPR compliance model, not only as a legal requirement but as an integral part of the organisation’s working culture. The absence of predefined security policies, access management rules, and procedures for handling medical data often leads to delays and workflow adjustments. Future projects should therefore prioritise data protection, encryption, and access governance from the very beginning, alongside the technical specification.
Another important lesson involves the critical role of dashboard solutions. Without a visual control panel, it becomes difficult to monitor data quality, track team activity, or observe the dynamics of screening results across campaigns. This limits the ability to make timely corrections and directly affects the reliability of analytical outcomes. As such, the development of a dashboard with monitoring tools, automated reporting, and advanced filtering for identifying patterns should be considered a priority in any subsequent implementation.
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