Alcidion and Novari Health Forge Strategic Partnership to Advance Patient Flow Management
MELBOURNE, AUS & KINGSTON, CAN – March 12, 2024 – Alcidion Group Limited (ASX: ALC), a leading provider of FHIR-native patient flow solutions for
Regional and hospital central intake models have demonstrated they improve access to care for patients seeking mental health and addiction services. The Novari Mental Health & Addiction (Novari MHA)™ software improves the referral, intake, triage, routing, receiving, and processing of referrals. The system recognises the complexity of providing coordinated access to mental health services and is scalable to manage high referral volumes with complex workflows.
Mental health and addiction central intake and coordinated care models vary widely. While they all share the goal of improving access to mental health and addictions services their scope, workflows, referral forms, triaging, and routing often have significant variation. Our experienced analysts and configuration teams can configure the Novari MHA™ system to align with your organisation’s vision and unique workflows.
Novari MHA™ can be configured for the specific clinical and administrative workflow needs of each hospital or health region’s mental health anad addictions coordinated care model. The software can support organisations’ complex multi-step workflows.
When using paper and fax, referring clinicians and other stakeholders are frequently unaware of the current status of each referral. Novari MHA™ helps to close the loop by displaying the status of each referral and sending updates as referrals move through the system.
Your referring clinicians and organisations likely have a mix of technologies and processes from electronic to paper and sadly fax. Novari MHA™ was designed with this in mind and is capable of accepting referrals electronically from a variety of sources (e.g., electronic medical record (EMR), practice management systems (PMS), hospital information systems (HIS/EHR), existing regional eReferral solutions), and by fax. Optionally, patient self-referrals can be supported via a public web form.
Mental health and addictions central intake care coordination models are designed to reduce wait times and improve access to care. Novari MHA™ uses sophisticated and customisable wait list management and workflow dashboards to help manage patients in various queues. Provider wait times are tracked in real-time and used to help load balance demand for mental health and addictions services across all available providers, thereby improving wait times and ensuring that all providers are leveraged according to their capacity.
Incomplete or clinically inappropriate referrals are inefficient and unnecessarily delay patient care. Novari MHA™ enables mandatory referral data sets, so referrals received digitally are always complete and appropriate. Referrals received via fax can easily be reviewed for completeness and appropriateness and if required, quickly returned to the sender with one of many templated notes.
In today’s world patients often expect to receive electronic update notifications. Novari MHA™ can send both email and text (SMS) appointment and other notifications to patients. Doing so reduces the time and cost of contacting patients and reduces expensive “no shows”. Appointments scheduled in hospital enterprise scheduling systems (e.g., Oracle Cerner, WebPAS, iPM, Meditech, etc.) can trigger patient notifications in Novari MHA™ .
MELBOURNE, AUS & KINGSTON, CAN – March 12, 2024 – Alcidion Group Limited (ASX: ALC), a leading provider of FHIR-native patient flow solutions for
This article was written by Keane Bourke for ABC News. Published June 21, 2022. To access the original article, click here. WA health authorities are
This article was written by Alexandra Smith for The Sydney Morning Herald. Published June 20, 2022. To read the access the original article, click here.
Optimising our digital mental health, addiction and wellbeing ecosystem to improve equity and create impact in Aotearoa This document was written by the Digital
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