Using AI to streamline patient referral intake
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The variety and volume of referral documentation received by home health agencies presents a significant challenge to intake staff, clinicians, coders and QA teams to review quickly and accurately. However, AI can be applied as a helpful tool for patient intake by automating certain aspects of this complex process. Deploying an AI solution goes beyond workflow automation and allows providers to streamline their operations and free up valuable time to focus on patient care.
Once applied, AI powered systems rapidly analyze referral medical records and identify information like patient history, symptoms, diagnoses, medications and social determinants of health (SDOH).??This and other information is highlighted using emphasis framing and presented to the reviewer. With this process providers can quickly identify potential health risks, make accurate diagnoses and develop effective treatment plans.??Some AI solutions for streamlining patient intake include:
1.??????AI not only finds diagnostic markers but can validate when the record is complete. It can speed up the identification and coding medical diagnosis through a process called natural language processing (NLP).??NLP involves training an AI module to understand and interpret human language in free text such as medical records and notes.
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2.?????To use AI in this way, the model is trained on a large data set of labeled medical records, where the correct diagnosis codes are already assigned to each record. The AI model can then analyze new medical records and predict or assign the appropriate diagnosis codes based on a comparison between the new records and the ones it was previously trained on.
3.?????AI can be used to predict potential health issues by analyzing patient data and identifying patterns of symptoms, comorbidities, SDOHs and other markers. This can help providers proactively address health concerns.
Note that AI should be used as a complementary tool to healthcare providers, not as a replacement period while AI can help automate certain aspects of patient intake, providers still need to interact with patients to provide personalized care.