HealthcareComplex automationSeveral jobs working together: multi-stage pipelines with state, branching on rules or AI decisions, approvals or escalations, 4+ systems, AI agents that act, or reconciliation across sources. Usually rolled out in stages.

Medical records requests fulfilled in a day

For: Multi-specialty clinic group

Typical impact

Fulfillment in 1 day, down from 3 weeks

Patients request their records through a verified web form. The flow validates identity, compiles the complete file from the EHR, applies required redactions for a privacy officer's review, delivers everything via a secure expiring link, and writes an auditable release log automatically.

Typical results

-95%

Turnaround time

100%

Releases logged & auditable

15 min

Staff time per request

Figures reflect typical results for this kind of automation.

The challenge

Records requests arrived by phone, fax, and front-desk visits, then sat in a shared inbox. Staff hunted documents across three EHR systems, redacted by hand, and burned CDs for pickup. Fulfillment averaged three weeks, patients called daily to chase, and nobody could prove what was released to whom, or when.

Before and after

Before With the automation

Fulfillment time

−95%
21 days
1 days

Staff time per request

−83%
90 min
15 min

Chase calls per week

−93%
30 calls
2 calls

The automation

We built a verified web request form that checks the patient's identity against the clinic database with an OTP sent to the phone number on file. A Make scenario compiles the record set from the EHR, applies the group's redaction rules, and queues the file for the privacy officer's one-click approval. Approved files deliver through a secure, expiring download link, and every step — request, verification, approval, delivery — writes to an auditable release log.

How it works

  1. 01

    Verified request

    The patient submits a web form; an OTP to the phone number on file confirms identity before anything moves.

  2. 02

    File compiled

    A Make scenario pulls the requested record set from the EHR automatically — no folder hunting.

  3. 03

    Redactions applied

    The group's redaction rules run on the compiled file, which queues for privacy review.

  4. 04

    One-click approval

    The privacy officer checks the flagged sections side-by-side and approves in one click.

  5. 05

    Secure delivery & log

    An expiring secure link goes to the patient, and every step writes to the auditable release log.

Starts from

  • Verified web request form
  • EHR record pull

Delivers

  • Redaction review queue
  • Secure expiring link
  • Auditable release log

The impact

Fulfillment typically drops from three weeks to one day, with most requests delivered the same afternoon. Staff time per request falls from 90 minutes to 15, chase calls nearly disappear, and the release log answers a privacy audit in minutes instead of days.

Questions about this automation

How is the patient's identity verified before records are released?

The patient fills in a web request form, and the automation matches the details against the clinic database. A one-time code is sent to the phone number already on file, and nothing moves forward until the patient enters it. Failed or mismatched verifications are routed to staff instead of being processed.

Who checks the redactions before the file goes out?

The redaction rules run automatically on the compiled file, and the result waits in a review queue for the privacy officer. Flagged sections appear side by side with the original, so the officer can confirm or adjust them and approve in one click. No file is delivered without that approval.

How are the records delivered and logged?

Approved files are sent through a secure download link that expires after a set period, so copies do not linger in inboxes. Every step, from the request and verification to approval and delivery, is written to a release log with timestamps, which gives the clinic a ready answer to audit questions.

Healthcare

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