scale medical records indexing–any volume in as little as one hour at >99% accuracy
with ScaleHub’s collective intelligence solution
Despite the industry-wide shift to electronic medical records, paper persists in specialty clinics, labs, ambulatory surgery centers, and outpatient facilities. Any and all types of documents get scanned or faxed, but what comes next–uniting the patient health data they contain with the related electronic health records (EHRs)–is complicated, time consuming, and ripe for errors and duplications.
Using artificial and human intelligence (AI + HI), ScaleHub’s collective intelligence solution for medical records indexing seamlessly digitizes and incorporates patient data from paper medical records with existing electronic health records. Any volume of scanned and faxed documents are ingested, separated and classified, before key patient data is extracted and indexed–all in as little as one hour and with >99% accuracy guaranteed. Physicians get more time to focus on providing the best possible patient care, and management gets to concentrate on growing the business.
Our deep-learning model is trained on anonymized medical documents, so ScaleHub customers have high classification accuracy from the very beginning. The best part? The self-learning solution only gets faster and more accurate over time.
With built-in performance tracking, the ScaleHub solution monitors HIPAA-compliant specialist crowd contributors’ speed and accuracy down to the individual keystroke, providing workload optimization and coaching opportunities to guarantee data accuracy and turnaround times.
better patient care and outcomes
When medical records are safely and accurately indexed in under four hours, healthcare providers get the widest possible view into their patients’ health, and can make the most informed decisions.
sensitive patient data – de-risked
Whether through HIPAA-compliant contributors from specialist crowds or using decontextualizing techniques, we ensure that sensitive data is processed safely – with every keystroke tracked.
accelerated revenue cycles
The faster EHRs are accurately completed, the faster they can be submitted for coding and payment.
guaranteed >99% accuracy of indexed data
Combining AI and HI means faster, more accurately indexed medical records, ultimately minimizing the organizational risk posed by scattered patient data and open EHR loops.
limitless scale with no hit to speed or accuracy
Seasonal or even unexpected volume spikes? ScaleHub simultaneously distributes indexing tasks to a limitless number of HIPAA-compliant specialists and contributors.
how it works
Our collective intelligence solution seamlessly digitizes and incorporates patient data from paper-based and digital medical records with existing electronic health records.
Any document that could be included in a medical record–from doctors’ notes to lab results, x-rays, MRI results, inpatient records, medical forms and prescriptions–are ingested.
All images and documents are automatically identified and separated by patient number, then classified based on content and layout using self-learning AI.
If a document cannot be automatically classified or requires validation it’s sent to a private or specialist and HIPAA-compliant BPO crowd.
Relevant data from the images and documents are automatically extracted and validated against master patient data such as date of birth, MRN# or first and last name. Exceptions that can’t be detected or extracted using OCR are manually keyed in by specialist contributors. The >99% accurately indexed data is now ready for an organization’s downstream systems.
ScaleHub for medical records indexing
Watch how this paper-to-electronic bottleneck plays out in real life–and how ScaleHub applies collective intelligence to close the gap.
frequently asked questions
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