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From diagnostic network to infrastructure: the vision behind Cross Doctoring
Discover the evolution of Cross Doctoring into a B2B infrastructure that connects journey, capacity, images, data, finances and software.
Cross Doctoring Health TechDigital editionContinuous updates
Information for more connected diagnostic healthcare
Jornal Cross
News, analysis and knowledge for those transforming the exam journey.
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Focused reads on the forces shaping diagnostics, technology and healthcare management.
- 01RIS and PACS: what is the difference and why do the two systems need to work together?4 min
- 02DICOM Worklist: how to connect the schedule to imaging equipment4 min
- 03HL7 FHIR: what is it and how does it support interoperability in healthcare?4 min
- 04Zero Trust in Healthcare: Why Being In-Network Shouldn't Mean Unrestricted Access4 min
- 05Observability in healthcare systems: how to see failures before they become an invisible queue4 min
35 editorial articles
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35 articles found
Cross Ecosystem
02 articlesDiagnostic infrastructure: what it is and why it can transform exam management
Understand what diagnostic infrastructure is and how request, authorization, network, schedule, images, reports, data and finance form a single journey.
From diagnostic network to infrastructure: the vision behind Cross Doctoring
Discover the evolution of Cross Doctoring into a B2B infrastructure that connects journey, capacity, images, data, finances and software.
PACS & Imaging
05 articlesRIS and PACS: what is the difference and why do the two systems need to work together?
Understand the differences between RIS and PACS, the role of each system in diagnostic imaging and how integration reduces operational rework.
DICOM Worklist: how to connect the schedule to imaging equipment
Learn what DICOM Modality Worklist is and how the worklist connects schedule, patient, procedure and equipment in diagnostic imaging.
What is PACS and why is it essential in diagnostic imaging?
Understand what PACS is, how it organizes and makes available medical images and why it is different from common file storage.
DICOM: the language that allows medical equipment to share images
Understand in a simple way what DICOM is, why the standard exists and how it connects equipment, medical images and PACS systems.
Is PACS the same thing as saving exams in a folder?
PACS is not a file folder. See the differences between common storage, medical studies, metadata, search, access, and diagnostic flow.
Diagnostics
01 articlesThe report does not need to end as an isolated document
See how centralization, context, search and structured data can connect reports to the diagnostic journey without replacing medical decision-making.
Healthcare Management
07 articlesDigital accessibility during the exam journey: clarity is also infrastructure
See how accessibility, clear language and inclusive interfaces improve scheduling, preparation and access to exam information.
Data quality in TISS: why do inconsistencies become reworks and glosses?
Understand how completeness, validation, versioning and traceability improve the TISS exchange between healthcare providers and operators.
What happens between the doctor's order and the examination?
Learn about the exam journey, from medical request to completion, and the points that require coordination between authorization, network, schedule and patient.
Exam authorization: why does this process still generate so much rework?
Understand why eligibility, documents, pending issues and communication make exam authorization complex and how to organize the process.
Provider network: how to connect demand, location and capacity?
See how provider network management combines demand, region, procedure, availability and capacity without reducing the network to a registry.
Exam scheduling is not just about choosing a date
Exam scheduling involves capacity, provider, location, preparation, confirmation and rescheduling — not just a space on the calendar.
How to make the patient journey clearer before an exam?
Guidance, preparation, documents, location and reminders make the patient's journey before the exam clearer and safer.
Data & Intelligence
07 articlesHealth data governance: how to transform dispersed information into a reliable asset
Understand how quality, catalog, responsibility, security and lifecycle form data governance applicable to diagnostic health.
Indicators for diagnostic centers: what to measure besides the number of exams?
Discover demand, access, capacity, flow and quality indicators to understand the operation of a diagnostic center.
A stopped exam room is also a management factor
Understand how vacant schedules, cancellations, no-shows and idleness reveal opportunities to improve exam capacity and management.
Your healthcare operation generates more data than you realize
Orders, authorizations, schedules, services, images and reports generate events capable of revealing time, capacity, quality and bottlenecks.
Having a dashboard does not mean having operational intelligence
Understand the difference between data, indicator, information, context, knowledge and decision in healthcare operations management.
What changes when a manager can see his operation in real time?
Real-time queues, bottlenecks, times, capacity and backlogs can anticipate decisions — as long as the data is reliable and actionable.
Why shouldn't operational history rely solely on conversations and spreadsheets?
Databases help preserve history, structure, search, auditing, and operational continuity without eliminating the value of spreadsheets and conversations.
Software & Technology
08 articlesHL7 FHIR: what is it and how does it support interoperability in healthcare?
Understand the HL7 FHIR standard, its capabilities, and how it helps healthcare systems exchange structured data with governance and context.
Observability in healthcare systems: how to see failures before they become an invisible queue
See how logs, metrics and traces help track integrations, performance and reliability in digital healthcare operations.
Tailor-made medical software or generic system: when does each approach make sense?
Compare custom-made medical software and ready-made systems based on process, cost, integration, differentiation, deadline and maintenance criteria.
Before the code comes the problem: how a Cross Software solution is born
Discover the eight steps that take a healthcare operational problem to modeling, integration, automation, measurement and continuous improvement.
Healthcare APIs: why do systems need to talk to each other?
Understand what an API is, how it integrates healthcare systems and why contracts, standards, security and failure handling matter.
Healthcare automation: where does it help and where do we still need people?
Automation can take over repetitive tasks, notifications and integrations; Clinical decisions, exceptions and human relations require responsibility.
Vector database: how can systems find information by meaning?
Understand semantic search, embeddings, and vector banks conceptually — and why meaning, context, and governance matter.
Redis in healthcare systems: why is speed also part of the architecture?
Cache, sessions, queues and fast events can use Redis, but speed requires consistency, monitoring and proper design.
Security
03 articlesZero Trust in Healthcare: Why Being In-Network Shouldn't Mean Unrestricted Access
Learn the principles of Zero Trust and how identity, least privilege, and continuous verification protect healthcare systems and data.
Continuity of systems in diagnosis: how to prepare the operation for unavailability
See how to map dependencies, define contingency, test recovery and reconcile data after diagnostic system failures.
Why does cybersecurity need to be created alongside healthcare software?
Security in healthcare software involves access, authentication, authorization, auditing, backup, monitoring, least privilege and LGPD.
Finance
01 articlesOperations and finance need to talk in the healthcare ecosystem
Procedures carried out, billing, receivables, settlement, working capital and prepayments depend on connected operational data.
Innovation
01 articlesAI in healthcare does not need to start with diagnosis
AI in healthcare can also support organization, classification, extraction, summarization and search, with governance and without replacing clinical decisions.
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