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SelectionAs of René HerzerCreated with AI

Horizontal AI platform or AI in specialist systems: what hospitals need

Hospitals usually need both. AI in a specialist system, such as the hospital information system, coding or QM software, works within one process and knows its data. AI-native specialist vendors solve one clinical task, often as a medical device. A horizontal AI platform covers the breadth: all departments, questions across several systems, one permission management and one log. The more specialist systems bring AI, the smaller the need in those processes; the breadth remains.

Which patterns are there?

Pattern What it is Examples (according to the vendor)
AI in the HIS AI features in the screens of the hospital information system (HIS, German: KIS): documentation from the conversation, doctor’s letter, coding ORBIS, CGM, NEXUS / KI, iMedOne
Specialist platform with AI Software for one process, retrofitted with AI Recare (discharge management), ID Berlin (coding), roXtra (quality management)
AI-native specialist vendor Built as AI from the start, for one clinical task, in some cases a medical device medicalvalues (laboratory diagnostics)
Horizontal AI platform AI for many tasks in all departments, with access to documents and systems basebox, ChatGPT Enterprise, Langdock

The patterns solve different problems. AI in the HIS and specialist platforms do not compete with a platform in the sense of “doing the same thing”; they cover the depth of one process, the platform covers the breadth of the organisation. Details: AI in the HIS, specialist platforms with AI, AI in laboratory diagnostics.

Not every “AI” in specialist systems is generative AI. Duty rostering and staff planning as with POLYPOINT or ATOSS, transport dispatch as with DYNAMED or the planning of operating theatres and beds as with Timerbee rely mainly on optimisation, forecasts and rules. That is a different task from drafting texts or answering questions on documents; the two do not exclude each other.

What can AI in a specialist system do that a platform cannot?

  • It knows the process and its data. A doctor’s letter in the HIS is created from the diagnoses and medication of the case; a coding suggestion in the coding system knows the rule set and the checking rules.
  • It brings what no software has on its own. Recare, for example, connects hospitals with a network of nursing and rehabilitation facilities.
  • It may help with medical decisions if it is approved as a medical device for that purpose. medicalvalues describes its Diagnostic Intelligence as a class IIa medical device under the MDR.

What can a platform do that a specialist system cannot?

  • Reach all departments. Purchasing, human resources, facilities, pharmacy, secretariats and management rarely have a specialist system with AI.
  • Answer questions across several sources. Guideline, SOP, contract and e-mail at the same time, each with its source.
  • Take on new tasks without a new purchase. A new task becomes an app that a group uses, instead of another tool with its own contract.
  • One control for everything. One permission management, one log, one data protection impact assessment for the platform, extended for each new purpose (Art. 35 GDPR), one data processing agreement (Art. 28 GDPR).

How much AI does a hospital need in which pattern?

The answer depends on which specialist systems already bring AI. An example of how tasks can be split:

Task Pattern
Doctor’s letter from the case data, bedside conversation documentation AI in the HIS
Finding follow-up care, coding, document control in QM Specialist platform
Evaluating laboratory results, suspected diagnoses Specialist vendor, medical device
Querying guidelines and SOPs, letters, translations, e-mails Platform
Purchasing, human resources, facilities, administration Platform
Questions across several systems Platform with connectors

Two consequences follow:

  1. Many point solutions reduce the need for a platform, but only in their processes. If you already have AI in the HIS and in three specialist platforms, you do not need a platform for those processes.
  2. Many point solutions increase the effort. Each vendor brings its own place of data processing, its own contracts, its own permissions and its own interface.

What does each point solution cost beyond its price?

In Germany, every new AI tool that processes patient data brings the same obligations, however small it is:

Obligation Per point solution With one platform
Data processing agreement (Art. 28 GDPR) one per vendor one
Confidentiality commitment (§ 203(4) StGB, German Criminal Code) per vendor once
Data protection impact assessment (Art. 35 GDPR) per processing operation, usually per tool one for the platform, extended for each new purpose
Record of processing activities (Art. 30 GDPR) one entry per tool entries per purpose, one system
Proof under § 393 SGB V for cloud services check per vendor check once
Sign-in and permissions set up per tool from your existing identity management
AI literacy (Art. 4 AI Act) training per tool training on one interface

On top of this come the security review, involving the works council or staff council, and maintaining each tool in operation. With three tools this is manageable; with twenty it becomes a permanent task for IT and data protection.

How do you proceed?

  1. Take stock: Which specialist systems have AI, which have announced it, and which of it does the organisation use?
  2. Name the gaps: Which departments and tasks remain without AI?
  3. Use specialist systems for their processes: Keep AI in the HIS, in coding or in QM where it knows the data and workflows.
  4. Put the breadth on one platform: everything else, with one permission management and one log.
  5. Connect instead of duplicating: Where specialist systems hold knowledge that others need, such as QM documents, the platform connects them, with the permissions of the person concerned.
  6. A rule for new needs: A new need is first checked as an app on the platform; a separate tool comes only if the platform cannot or may not do the task.

How does this work with basebox?

basebox is a horizontal AI platform for the whole organisation, in our cloud in Germany or on a server at your site. basebox does not replace an HIS or a specialist platform and runs alongside any HIS. It comes with 146 use cases for hospitals in 21 areas, permission management from your existing identity management and a log; sharing an app shares its documents, never your own access.

basebox connects specialist systems through connectors: a connector to roXtra is planned at customers’ request; it is to use the roXtra interface. For an HIS or another specialist system, we build the connector as soon as the vendor provides access, for example through the FHIR interface under ISiK (the German interoperability standard for hospital systems); the design is free of charge, followed by a fixed price. basebox is not a medical device; for tasks with patient data it delivers drafts and summaries with sources, no diagnosis and no therapy recommendation; every result is checked by the doctor or the nurse.

Frequently asked questions

What does “horizontal” mean?

A horizontal AI platform is not tied to one process. It provides AI for many tasks in all departments and accesses documents and systems through connectors. The counterpart is AI in a specialist system, which only covers that system's process.

Does an AI platform become unnecessary once all specialist systems have AI?

For the processes in those specialist systems, the need falls. For departments without a specialist system, for questions across several systems and for letters, e-mails and administration, it remains. There is also the question of how many vendors, contracts and rules an organisation wants to manage.

Can an AI platform replace a medical device?

No. Software with a medical intended purpose, for example for diagnosis in individual patients, needs CE marking under the MDR or IVDR. A platform for general tasks is not meant for this. Is AI a medical device? →

Does an AI platform replace the AI of our HIS vendor?

No. The AI in the HIS covers the HIS, a platform covers the whole organisation: documents, guidelines, e-mails and other systems. Both can run side by side.

How do we stop departments from buying their own AI tools?

With an offer that is available faster than their own purchase, and a clear rule: new AI tools go through IT, data protection and procurement. An AI register shows what runs in the organisation and what for.

Sources

  1. Regulation (EU) 2017/745 (Medical Device Regulation), Art. 2(1), EUR-Lex ↗
  2. Regulation (EU) 2016/679 (GDPR), Art. 28, 30 and 35, EUR-Lex ↗
  3. Regulation (EU) 2024/1689 (AI Act), Art. 4 and 26, EUR-Lex ↗
  4. § 203 StGB: violation of private secrets (gesetze-im-internet.de, German) ↗
  5. § 393 SGB V: use of cloud services in healthcare (gesetze-im-internet.de, German) ↗
  6. gematik: ISiK, information technology systems in hospitals (German) ↗
  7. NEXUS AG: NEXUS / KI (accessed 11 October 2026, German) ↗
  8. Recare: home page and products (accessed 11 October 2026) ↗
  9. medicalvalues: Diagnostic Intelligence (accessed 11 October 2026) ↗

This article was created with the help of AI, based on the sources listed. Responsible for the content: basebox GmbH. Not legal advice, no liability. Research as of 30 October 2026.

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