AI for diagnostics and labs

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Top use cases

The jobs we would usually look at first for diagnostics and labs, best first.

• Healthcare

   [!] Hb    
    |-> ack? 
    '-> done 

  Test results follow-up tracking

  Results the lab has flagged as abnormal are tracked until a clinician acknowledges them and the agreed action happens, with escalation if they stall.

  Automationread ->

• Healthcare

   [CT] 6mo  
     |->[ ]  
     '->[ok] 

  Imaging follow-up recommendations

  Follow-up recommendations in radiology reports, such as a repeat scan in six months, are tracked until ordered or closed by a clinician.

  Automationread ->

• Healthcare

   [ID] ->   
    plan: ok 
    copay: $ 

  Insurance eligibility checks

  Coverage and benefits are checked electronically before every appointment, and problems go to the front desk days ahead instead of at check-in.

  Automationread ->

• Healthcare

   [Rx]->[?] 
    |     |  
   [ok]<-'   

  Prior authorisation packets

  Prior authorisation requests are assembled from the record against each payer's criteria, with missing evidence flagged, then submitted by staff.

  Agentread ->

• Healthcare

   [ref]     
     |-> [A] 
     '-> [B] 

  Referral intake and routing

  Incoming referrals are read, checked for missing information and routed to the right service, with urgency confirmed by a clinician.

  Automationread ->

• Healthcare

   [X] CO-16 
    |  fix   
   [>] appeal

  Claim denials and appeal letters

  Denied claims are sorted by reason and value, the fix or appeal is prepared with evidence from the record, and billing staff approve every submission.

  Agentread ->

• Customer service

  +------+
  |[x]___|
  |[ ]___|

  Patient and client intake

  Intake forms, emails and scanned documents are read, checked for gaps and entered into your practice system before the first appointment.

  Automationread ->