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        <article-title>Case Problem Brief: Preserving Human Connection in Digital Health Systems</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Darko Frtunik</string-name>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Dragan Sahpaski</string-name>
        </contrib>
        <contrib contrib-type="author">
          <string-name>SORSIX</string-name>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Skopje</string-name>
        </contrib>
        <contrib contrib-type="author">
          <string-name>North Macedonia</string-name>
        </contrib>
        <contrib contrib-type="author">
          <string-name>SORSIX</string-name>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Skopje</string-name>
        </contrib>
        <contrib contrib-type="author">
          <string-name>North Macedonia</string-name>
        </contrib>
      </contrib-group>
      <pub-date>
        <year>2025</year>
      </pub-date>
      <abstract>
        <p>This paper presents the industrial case study used for the STPIS2025 workshop. Drawing upon the industry case study the workshop adopted a participatory approach to explore various aspects of the National Cancer Screening Program in New Zealand. Within this framework, the authors posed two key socio-technical questions, which participants addressed in two parallel group sessions to propose potential solutions. First question: How can a national population screening program work with community service providers to implement data tracking and oversight mechanisms necessary for quality and audit, while preserving the culturally sensitive and authentic relationships that make their contribution to the service eective? Second question: What technological, procedural, and policy solutions might allow both accountability and intimacy to coexist? SORSIX is a global health-technology company headquartered in Sydney with major engineering operations in Skopje, North Macedonia, and oces in New Zealand and Serbia. It develops and deploys Pinga™, a modular “health operating system” that integrates electronic medical records, patient administration, clinical workows, claims, CRM, and interoperability services. Pinga is already used at national scale in Macedonia and Serbia, while expanding across Australia, New Zealand, and Canada. The platform emphasizes cloud-native design, standards-based interoperability (HL7 FHIR, IHE, EHDS compliance), and AI-enabled innovation, oering solutions such as referrals management, telehealth, risk stratication, and advanced data analytics. Beyond product development, SORSIX contributes actively to global digital health initiatives, including HL7, IHE Connectathon, EHDS, and Horizon Europe projects. With a mission of “solving human health,” SORSIX combines technical excellence, regulatory alignment, and user-centric design to help healthcare providers deliver safer, more ecient, and value-driven care.</p>
      </abstract>
      <kwd-group>
        <kwd>eol&gt;National Cancer Screening Program</kwd>
        <kwd>SORSIX Case Study</kwd>
        <kwd>Workshop</kwd>
        <kwd>Sociotechnical Perspective1</kwd>
      </kwd-group>
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    <sec id="sec-1">
      <title>1. Introduction</title>
    </sec>
    <sec id="sec-2">
      <title>2. Background</title>
      <p>A national cancer screening programme has achieved signicant success through community-based
support services. Support to Screening Service Providers (SSSPs) are trusted community members
with a mixture of clinical and non-clinical expertise and support the screening programmes by
building personal relationships with participants. They are active at community promotion events,
and oer transportation, emotional support, and guidance throughout the screening process. This
personalised approach has proven highly eective in increasing screening uptake, particularly
among underserved populations who may otherwise avoid preventive healthcare for a myriad of
reasons.</p>
    </sec>
    <sec id="sec-3">
      <title>3. The Challenge</title>
      <p>As the programme scales nationally, health authorities require comprehensive data tracking to
ensure quality, measure outcomes, and maintain accountability. All interactions between SSSPs and
participants must be documented, including:
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●</p>
      <sec id="sec-3-1">
        <title>Contact frequency, channels, and methods</title>
      </sec>
      <sec id="sec-3-2">
        <title>Transportation arrangements</title>
      </sec>
      <sec id="sec-3-3">
        <title>Appointment outcomes</title>
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      <sec id="sec-3-4">
        <title>Participant concerns and responses</title>
        <p>Implementing systematic data collection must strike a balance with the foundation of the
programme's success, which is built on the ability to build and maintain personal relationships
between SSSPs and participants.
3.1.</p>
        <p>Key Tensions
1. Trust vs. Surveillance: Both Participants and SSSPs value the condential and informal nature
of their relationships. Knowing their conversations are being recorded or tracked may impact
open communication about fears, barriers, and sensitive health concerns.
2.</p>
        <p>Authenticity vs. Compliance: SSSPs naturally build rapport through spontaneous, caring
interactions. Formal documentation requirements may make these relationships feel
transactional and clinical.
3. Privacy vs. Accountability: While participants need assurance that their personal information
is protected, the national system requires visibility into service delivery to ensure equity and
eectiveness.
4. Local Flexibility vs. Standardisation: SSSPs understand local cultural nuances and individual
needs, but national oversight demands consistent protocols and metrics.
3.2.</p>
        <p>Stakeholder Perspectives
1. Participants: Value the personalised and community-oriented approach to supporting their
healthcare needs them with their health.
2. SSSPs: Focus on fostering genuine personal connections and delivering tailored support that
meets each participant's unique circumstances. Resistant to administrative requirements that
may transform caring relationships into transactional interactions or create barriers to the
informal and empathetic nature of care delivery that is their strength.</p>
        <p>Want to maintain trusted, personal relationships without feeling monitored. Concerned
about administrative burden interfering with caring relationships.
4. Programme administrators: Require accurate data to justify funding, ensure quality, and
demonstrate programme eectiveness. Must ensure that sensitive health data is being
collected with clear consent frameworks and respect for cultural sensitivity.</p>
        <p>How can a national population screening programme implement the necessary data tracking and
oversight mechanisms while preserving the culturally sensitive and authentic relationships that
make the service eective?</p>
        <p>What technological, procedural, and policy solutions might allow both accountability and
intimacy to coexist?
3.4.</p>
        <p>Discussion Points
1. What data is truly essential for programme oversight versus what is collected out of
habit?
2. How might consent and transparency be redesigned to build rather than erode
trust?
3. How might SSSP user activity be tracked and managed to allow quality reporting
data to be obtained without sacrificing the personal nature of their interactions with
participants?
4. What safeguards (e.g. informed consent) could protect the relational aspects of care
while enabling quality improvement?</p>
        <sec id="sec-3-4-1">
          <title>Acknowledgements</title>
          <p>This work was created by SORSIX, then presented and discussed as a case study together with the
participants of the STPIS2025 workshop. Thanks to members of the SORSIX team and individuals
that actively participated the workshop was engaging and proceeded with great success.</p>
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        <sec id="sec-3-4-2">
          <title>Declaration on Generative AI</title>
          <p>The author(s) have not employed any Generative AI tools.</p>
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