Orion Health’s product offerings

Customer update

Southern Cross Healthcare completes roll out of Progress Notes 

In February 2020, Orion Health implemented a solution called Progress Notes powered by Care Pathways with Southern Cross Healthcare.

The solution was initially rolled out to one pilot hospital with their feedback being used to identify possible areas for improvement and optimisation before extending out to all of their hospitals in New Zealand.  

The solution aims to allow electronic clinical notes to be used to improve legibility, availability and accuracy. Initial feedback following two weeks of implementation at the roll out hospital was positive, with users describing the solution as user-friendly, intuitive, time-saving and providing easier legibility of notes.  

We are now pleased to share that the roll out of Progress Notes across the entire Southern Cross Healthcare network is complete. Following the successful pilot and full roll out, there has been a high level of buy-in from hospital users with more than 50k progress notes being made electronically every month.  

Future development work for this project includes Orion Health and Southern Cross Healthcare working together to enable Progress Notes on smartphone devices for all of the hospital networks’ clinicians to provide them with access to a patient’s notes wherever they may be in the hospital.  

Product updates

Orion Health De-Identifier enables safe data sharing through de-identification

Enables safe data sharing through de-identification 

 Regulations such as HIPAA, GDPR and various privacy acts exist to protect data that contain sensitive patient health information (PHI).  

 One way to ensure data is safe to use, without individual consent is de-identification. De-identifying data will mean it can’t be traced back to an individual patient.  

 Orion Health De-identifier is a framework of tools covering end-to-end de-identification activities. This software can handle a range of data types and applies various de-identification techniques to ensure your data is safe to use.  

What does this mean for you? 

  • – Off-the-shelf all-in-one de-identification application package 
  • – Healthcare data expert 
  • – Machine learning-based entity recognition 
  • – Comprehensive reporting 

Use cases 

With a user-friendly web-based de-identification portal, the application can achieve: 

  • – De-Identifying datasets to release data for research and analytic purposes 
  • – De-identifying databases to replicate a production-like environment 
  • – De-identifying clinical free texts to generate surrogated clinical documents 

 If you are interested in knowing more about De-identifier, please reach out to us. 

Document Tagger (Beta) now supports clinical entity identification and linking to all SNOMED concept types.

Orion Health Document Tagger is a Natural Language Processing solution for making sense of free-text clinical documents.

Document Tagger is a beta-released NLP solution that converts unstructured text into structured, codified content, so that focused clinical insights can be extracted. We emphasise on clinical-lead continuous learning approach, ensuring that the deployed NLP solution is optimized for the local population context.

Document Tagger (Beta) now supports clinical entity identification and linking to all SNOMED concept types.

What does this mean for you?

  • Clinical concept detection

Identifies clinically relevant phrases from free text, automatically. Named entities include disorders, procedures, medication, substance, findings, etc.

  • Clinical concept linking

Deep learning-based entities linking normalises free text to clinical ontologies such as SNOMED CT. A list of all potential concepts is returned with probabilities.

  • – Abbreviation normalisation

Automatic detection and normalization of clinical abbreviations from free text, based on context.

  • – Clinical concept relationship extraction

Understands context of clinical concepts such as negation.

Use case

Document Tagger is used to enable the smart semantic search feature in Clinical Portal. Clinically relevant texts are first identified and linked to SNOMED concepts automatically.

This gives clinicians the ability to quickly search across clinical documents and filter them using SNOMED concepts and synonyms.

If you are interested in knowing more about Document tagger, please reach out to us.

Clinical Portal 8.11. (Early Adopter) is now released

Providing clinicians with tools to support patient care by integrating existing disparate information systems, providing a single view of all patient data. 

The following capabilities are available to early adopters.

What does this mean for the customer?

In this release we have included the first release of docked windows, allowing docking, and viewing of content throughout the user’s workflow (see animation illustrating results being docked). 

This is the first step towards viewing and doing capability. In this release, we’ve also delivered the user preference service, a mechanism we’re using to store personalisation data gathered through the user experience. The first functionality of the Portal to use the user preference service is the CDV tree’s width, which now retains its width throughout navigation and across user sessions, meaning that it will be sticky ongoing.

We have included our Context Action button, allowing quick access to commonly used functionality from the patient banner. This allows, for example, quick launch of activities in a user’s workflow (e.g. Vitals entry, Progress notes etc), in a docked window (where supported) or lightbox.

We have continued to progress our Portal Mobile capability with this release. We are pleased to say that we have a customer making use of Portal Mobile and Bedside Vitals collection within their hospital facilities. This has been very well received and we are delighted with our collaboration. More to follow on this (next month).

Please note, from Portal 8.9, browsers earlier than IE11 are no longer supported. Supported browsers include IE11, Edge Chromium, Chrome (Enterprise), Firefox (LTS) or a supported version of Safari is necessary. 

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