across teams to get correspondence sent out quicker
with reduced chance of human error
with mobile apps for the latest smartphones and tablets
Helps to clinicians stay organised, by creating a list of their clinics and appointments, which enables them to create dictations associated with specific patient information without the need for manual data re-entry, and eliminating the risk of human error that goes with it. Clinic and appointment information can be imported via HL7 feed, SQL, XML or CSV input.
Allows you to use key patient information such as NHS Numbers, PAS ID, and date of birth, to look up full sets of demographics from any third party SQL database. These demographics can then be used to automatically populate fields in documents, or to automate downstream processes.
Create documents from Word templates with a single click, and populate key fields with patient demographics automatically, such as addresses, GP information, and other details. Templates can also be centrally managed and customised by specialty or even by user. Combined with Speech Recognition transcription, this reduces the time spent creating documents to a fraction of what it takes by hand.
Allows you to quickly proof, amend and approve or reject batches of clinical documents before sending them.
Allows users to print large volumes of documents either as a batch or individually with a single click or keystroke, per document.
Allows clinical documents to be exported automatically as part of a workflow so that they can be used by other systems (such as EMRs, EDMSs or document transmission systems). It can also convert automatically to .PDF so the ‘final’ version can be stored in a repository.
This SharePoint-based Document Management system allows you to seamlessly store and retrieve clinical documentation. Last Letters enables trusts to move their clinical correspondence to paper free/paper light – and is seamlessly integrated into the BigHand workflow.
Find out how we can help you deliver the NHS 5-year forward view
Contact us to find out more about how you could used BigHand Correspond in your organisation
Download our Speech Recognition for Healthcare brochure