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--- chatehr [2026/08/03 18:25]
nigam [Timeline]
+++ chatehr [2026/08/05 09:26] (current)
nigam [Automations]
@@ Line 3: / Line 3: @@
 ===== Automations =====
-Automations are fixed prompts applied to defined sets of patients, and performance is quantified using a clinician-curated gold-standard truth set and impact is measured during monitoring. There are seven automations for which information is publicly available.
+Automations are fixed prompts applied to defined sets of patients. Across seven operational workflows, these automations convert high-volume, repetitive review into focused, actionable work embedded in the EHR. They help place patients in the right care setting, identify surgery cases who may need medical co-management, strengthen infection surveillance, accelerate referral triage, surface patients who may benefit from inpatient hospice, standardize complex orthopedic referrals, and validate billing accounts.
-  - [[https://pulse.stanfordmedicine.org/articles/ai-tool-will-streamline-patient-screening-at-sequoia | Streamline patient screening]]
+{{ ::chatgpt_image_aug_4_2026_03_12_58_pm.png?nolink |}}
-  - [[https://pulse.stanfordmedicine.org/articles/chatehr-automation-categorizes-surgical-patients-for-better-care-coordination | Identify patients for medical co-management during surgery]]
-  - [[https://pulse.stanfordmedicine.org/articles/chatehr-automation-supports-enhanced-surveillance-of-surgical-site-infections | Enhanced surveillance of surgical site infections]]
-  - [[https://pulse.stanfordmedicine.org/articles/enterprise-contact-center-launches-chatehr-automation-referral-triage-indexing | Referral triage at the Enterprise Contact Center]]
+  * [[https://pulse.stanfordmedicine.org/articles/ai-tool-will-streamline-patient-screening-at-sequoia | Streamlined patient screening]] turns a 5 to 20 minutes chart review for 150 patient charts to roughly 30 highly probable cases.
-  - [[https://pulse.stanfordmedicine.org/articles/how-ai-can-help-identify-eligibility-for-inpatient-hospice | Identify eligibility for Inpatient Hospice]]
+  * [[https://pulse.stanfordmedicine.org/articles/chatehr-automation-categorizes-surgical-patients-for-better-care-coordination | Identifying patients for surgical co-management]] lets hospitalists focus on the right neurosurgery, orthopedics, and ENT patients.
-  - [[https://pulse.stanfordmedicine.org/articles/orthopedics-launches-chatehr-automation-referral-summary-tool | Accelerate referral triage in Orthopedics]]
+  * [[https://pulse.stanfordmedicine.org/articles/chatehr-automation-supports-enhanced-surveillance-of-surgical-site-infections | Surveillance of surgical site infections]] reduces chart review by 40%, and improves the timeliness of infection reporting.
-  - [[https://pulse.stanfordmedicine.org/articles/patient-financial-services-launches-chatehr-automation-for-billing-review | Review of accounts with an LoA stop bill]]
+  * [[https://pulse.stanfordmedicine.org/articles/enterprise-contact-center-launches-chatehr-automation-referral-triage-indexing | Referral triage at the Contact Center]], cuts time by 17.7%, raises throughput by 17.8%, and reduced backlog from five to two days.
+  * [[https://pulse.stanfordmedicine.org/articles/how-ai-can-help-identify-eligibility-for-inpatient-hospice | Identifying eligibility for Inpatient Hospice]], screens 600 patient charts to find 10–40 eligible cases to avoid 18–20 hours each day.
+  * [[https://pulse.stanfordmedicine.org/articles/orthopedics-launches-chatehr-automation-referral-summary-tool | Accelerated referral triage in Orthopedics]], processes over 4,700 documents and saves at least 1.7 staff hours each day.
+  * [[https://pulse.stanfordmedicine.org/articles/patient-financial-services-launches-chatehr-automation-for-billing-review | Review of accounts with an LoA stop bill]], saves 10–15 min/account per resolution and lowers underpayment recovery cost.
+\\
 ===== User Interface =====
@@ Line 18: / Line 23: @@
 {{ :screenshot_2026-07-30_at_4.34.09 pm.png?nolink& }}
+\\
 ==== Testimonials ====
@@ Line 24: / Line 30: @@
 {{  :chatehr-testimonials.png?nolink&  }}
+\\
 ==== Current usage ====
-The panels below show current usage as of July 2026. The top left panel shows usage by role and to top right shows usage by service line. The bottom left panel shows usage by time and day of week, and the bottom right panel shows the top 20 tasks performed by the users.
+The panels below show current usage as of July 2026, with 3400+ active users, 150,000+ sessions, and 140B tokens processed. The top left panel shows usage by role and to top right shows usage by service line. The bottom left panel shows usage by time and day of week, and the bottom right panel shows the top 20 tasks performed by the users.
 {{ ::screenshot_2026-08-03_at_1.42.18 pm.png?nolink |}}
+----
+\\
+===== Our Journey =====
+ChatEHR was made possible by [[https://med.stanford.edu/news/all-news/2022/03/nigam-shah-inaugural-chief-data-scientist-stanford-health-care.html | embedding the data science team]], which includes software engineers, product managers, and data scientists with direct access to academic researchers, in the IT organization. Because of this set up, what began as a sandbox in April 2023 was conceptualized as ChatEHR in November 2023, underwent multiple prototypes by mid-2024, leading to a pilot in early 2025 that scaled to 150 clinical users by August 2025, and a health system-wide roll out by September 2025.
+{{ ::chatgpt_image_aug_3_2026_06_24_36_pm.png?nolink |}}
+\\
 ===== News coverage =====
-  - [[https://www.statnews.com/2026/01/28/stanford-research-ai-validation-tools-ai-prognosis/|Stanford’s health AI validation tools you should know about]]
+  - [[https://www.statnews.com/2026/01/28/stanford-research-ai-validation-tools-ai-prognosis/|StatNews - Stanford’s health AI validation tools you should know about]]
-  - [[https://www.statnews.com/2026/01/28/stanford-penn-hospitals-build-electronic-health-record-chatbots/|Why some hospitals are making their own ChatGPTs for patient records]]
+  - [[https://www.statnews.com/2026/01/28/stanford-penn-hospitals-build-electronic-health-record-chatbots/| StatNews - Why some hospitals are making their own ChatGPTs for patient records]]
   - [[https://med.stanford.edu/news/all-news/2025/06/chatehr.html|Stanford News - Clinicians can ‘chat’ with medical records through new AI software, ChatEHR]]
-  - [[https://news.stanford.edu/stories/2025/06/ai-medical-records-chat-ehr|AI lets clinicians ‘chat’ with medical records]]
+  - [[https://news.stanford.edu/stories/2025/06/ai-medical-records-chat-ehr| Stanford News - AI lets clinicians ‘chat’ with medical records]]
   - [[https://www.mobihealthnews.com/news/stanford-medicines-chatehr-expedites-chart-review-process|MobiHealthNews - Stanford Medicine's ChatEHR expedites the chart review process]]
   - [[https://www.healthcareitnews.com/news/new-chatehr-tool-enables-clinical-conversation-stanford|HealthcareITNews - New 'ChatEHR' tool enables clinical conversation at Stanford]]
@@ Line 42: / Line 60: @@
   - [[https://www.medicaleconomics.com/view/stanford-s-chatehr-lets-doctors-talk-to-the-chart-and-it-talks-back|Stanford’s ChatEHR lets doctors talk to the chart — and it talks back]]
-===== Our Journey =====
-{{ ::chatgpt_image_aug_3_2026_06_24_36_pm.png?nolink |}}

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