Abstract: A parallel network architecture connects among providers, subscribers, and storage networks to pull clinical records in an automated and verifiable electronic context. Messages, alerts, or data updates from a healthcare event such as a discharge are received, and example embodiment networks calculate patient clinical data target from the same and query the target for the patient to solicit records for the patient of the event, proximate to the event. The received records may be clinical, with diagnostic and treatment records for the patient, to be automatically delivered back to a subscribing user. Example embodiment networks may improve record quality and data match by verifying a target stores records for the patient, timing queries and requested data to those found most successful for a target, and/or not delivering records that contain errors, no clinical data, are duplicative or unreadable, and/or are not for the patient or healthcare event.

Abstract: A parallel network architecture connects among providers, subscribers, and storage networks to pull clinical records in an automated and verifiable electronic context. Messages, alerts, or data updates from a healthcare event such as a discharge are received, and example embodiment networks calculate patient clinical data target from the same and query the target for the patient to solicit records for the patient of the event, proximate to the event. The received records may be clinical, with diagnostic and treatment records for the patient, to be automatically delivered back to a subscribing user. Example embodiment networks may improve record quality and data match by verifying a target stores records for the patient, timing queries and requested data to those found most successful for a target, and/or not delivering records that contain errors, no clinical data, are duplicative or unreadable, and/or are not for the patient or healthcare event.