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Avia Summary
Targeted voice based Survey and Assessment can be built into bespoke applications of Opa as the platform is built with a modular structure allowing bespoke and interoperable suitability to various care setting.
Opa is suitable for use in population cohorts that require complete anonymity and also for patient type groups in '' identified care settings '' with information made available to clinicians / care support teams
As outlined @ Behavioural Health Integration. Opa can be used by people in the recovery pathway from Support Services as a 24 /7 support tool in the absence of their care team or designated support colleague. Information can be shared '' on a permission only basis '' The user has the decision on sharing their input and reports
Integrations: | Patient portal, Home health, Behavioral health, Community based organizations |
EMR Integration & Relevant Hardware: | Use case dependent |
EMRs Supported: | Would prefer not to disclose |
Hardware Compatibility: | Desktop, Mobile / Tablet (web optimized), Mobile / Tablet (native app) |
With the increasing level of remote diagnostic monitoring in the community / home healthcare setting. There is also a strong need for clinicians to have 24/7 insight into the emotional state of vulnerable patients where fears and apprehensions will exist about psysiological conditions. It's well known that '' condition stress '' can further exacerbate matters negatively.
Opa can act as an interoperable element of a wider diagnostic solution provided to healthcare.
Opa is in final user testing stages and will release to market in November 2023
The mental / emotional state of patients has rarely been classed as important. The Opa solution can only enhance EHR functionality. In assessing and knowing the emotional health status of a patient, particularly in more regular '' Elder Care '' patients, both in the home and potential hospital stays. The clinician can take important lifestyle indicators as valuable insights into preparing varied care plans.
The internal process and evaluation method of the user is quite different to other competitors in the space.
Readability
Diversity
Whole person care
Equity informed design
Data accessibility
User support
Engagement options
Privacy
Language accessibility
Cultural competence
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