AI clinical insights platform that reviews 100% of patient chart data to recommend diagnoses, generate draft documentation, and surface missed conditions at the point of care.
Regard is an AI platform for hospitals that reads entire patient charts to find missed diagnoses and generate clinical documentation before the doctor even opens the record.
Regard is an AI-powered clinical insights platform that addresses a fundamental gap in hospital medicine: physicians can only review about 3% of a patient's medical record (which averages 50,000 data points) during a typical encounter. Regard's AI reviews the entire chart â lab results, medications, vitals, imaging, notes, and historical data â to recommend diagnoses that clinicians may have missed and generate near-complete draft documentation before the physician sees the patient.
The platform calls this approach 'Proactive Documentation,' shifting clinical documentation from a reactive afterthought to an AI-assisted process at the point of care. Regard's diagnostic engine, powered in part by OpenAI's GPT-4, identifies conditions like sepsis, malnutrition, hypertension, and other diagnoses that are often missed during manual chart review. When a recommended diagnosis is accepted, Regard automatically generates the supporting documentation with appropriate clinical detail.
Regard integrates directly with major EHR systems including Epic and Cerner, running as a background process that continuously analyzes patient data and surfaces findings within existing clinical workflows. The platform has demonstrated measurable impact at health systems like Sentara Health (17% increase in CC/MCC capture, 4x ROI per user) and Penn Highlands Healthcare ($7M revenue increase, 30% time savings).
The platform is designed for hospital medicine â primarily hospitalists and internal medicine physicians â and operates as an enterprise SaaS product with custom pricing based on hospital size and volume. Regard is HIPAA-compliant and has been deployed across health systems ranging from rural hospitals to large integrated delivery networks.
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Regard offers specialized ai healthcare capabilities with focus on reliability and integration. Best suited for teams that need proven solutions with good support.
Generates near-complete draft clinical notes â H&Ps, progress notes, and discharge summaries â before the physician sees the patient, using AI analysis of the full patient chart.
Use Case:
A hospitalist opens a patient chart and finds a pre-generated progress note with recommended diagnoses and supporting evidence already documented, reducing note-writing time significantly.
Reviews 100% of patient chart data to identify missed or underdocumented diagnoses like sepsis, malnutrition, acute kidney injury, and other conditions that manual review frequently misses.
Use Case:
Regard flags that a patient has lab values and vitals consistent with early sepsis that the admitting physician hadn't yet documented, enabling earlier intervention.
Integrates directly into existing EHR workflows, presenting findings and draft documentation within the systems clinicians already use â no separate application to open or context-switch.
Use Case:
A physician using Epic sees Regard's recommended diagnoses and draft documentation embedded in their normal workflow, accepting or modifying suggestions without leaving the EHR.
Captures clinically appropriate diagnoses with complete documentation, leading to accurate DRG assignments and reduced claim denials â typically upgrading MS-DRGs for 1.5-3% of seen encounters.
Use Case:
A hospital's finance team sees a measurable increase in case mix index and a 5% reduction in automated denials after deploying Regard across hospitalist teams.
Combines EHR chart data with ambient physician-patient conversation data to provide even more accurate diagnostic recommendations and documentation.
Use Case:
During a patient encounter, Regard captures the physician's verbal assessment and cross-references it with lab trends and medication history to suggest additional diagnoses.
Continuously monitors patient data and alerts care teams to deterioration, missed diagnoses, or conditions requiring immediate attention based on evidence-based clinical criteria.
Use Case:
An overnight nurse receives an alert that a patient's trending lab values suggest acute kidney injury, prompting earlier nephrologist consultation.
Custom
Hospitals and health systems looking to improve clinical documentation, capture missed diagnoses, and optimize revenue integrity
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