Data Dissect provides intelligent data capture solutions to realise a future where data drives the best healthcare outcomes.
High volumes of healthcare data generated each year.
The healthcare industry is the largest generator of data, with a single patient generating nearly 80 megabytes of data each year in imaging and electronic medical record (EMR) data. (Source: Forbes.com)
Collecting data can be problematic.
Data quality decays quickly with increased distance from the point of care. Legacy systems, outdated paper forms, unclear data management and governance practices yield poor quality data.
Poor data collection limits clinical improvements and impacts patient care.
Only 10% of healthcare practitioners said they use data to help them understand what should happen next and how in patient care.
(Source: The Quality in Australian Health Care Study)
Our platform powers better, easier data collection solutions,
securely integrating multiple, structured data sources along the patient journey - catering for simple or complex cases.
A Solution for Clinicians
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Fit for purpose – structured data, digital images & files captured how you want
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Workflow & lifecycle management – data capture follows the patient journey
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Complex operating models – multi-disciplinary team (MDT) management, multi-site data collection
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Reporting & visualisation – view summarised data in real-time
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Self-administer data model & user access for tailored configuration, including eConsent
A Solution for Patients
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Participate – share data with clinicians & researchers, access to rehab info/modules
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Self-reporting – patient-centric view of how you feel, when you feel it
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Security & transparency – patients own your data along your health journey. You can view your data, at any time on any device
A Solution for Industry
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Clinical registry – cost-effective, secure scalable, broadly adopted clinical registry model across healthcare disciplines
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Quality monitoring – control quality outcomes across geographies, systems and conditions via standardized data capture and reporting approach
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AI & Machine Learning – overlay latest technology to drive real-time treatment, improve patient outcomes and control spiralling healthcare costs
"Up to one-third of what's spent annually on healthcare is lost on unnecessary hospitalizations, unneeded and often redundant tests, unproven treatments, over-priced, more expensive drugs, procedures and devices with no evidence of improved efficacy, and end-of-life care that brings neither comfort, care nor cure."
*Source: The George Institute “Health policy, administration and expenditure submission to the Senate Select Committee on Health”