Predict

Clinical decision support that runs inside your EMR

Predict continuously monitors live patient data through FHIR R4, calculates clinical risk in real time, and delivers guideline-based alerts directly inside the patient chart, supporting faster, more confident clinical decisions.

Reference tools answer questions. They do not watch patients.

Reference tools depend on the right question. HakeemDx Predict continuously identifies emerging clinical risk before it is overlooked.

What static reference tools do

Where the gaps show up

~1 in 2

diagnosed hypertensive patients are not at blood pressure target.

< 1 in 3

patients with type 2 diabetes and CKD are on a guideline-indicated SGLT-2 inhibitor.

~1 in 5

in-hospital deaths globally are attributable to sepsis.

Designed for enterprise healthcare

HAKEEMDX

AI Clinical Reasoning Platform

A standalone reasoning assistant for physicians. Differential diagnosis, treatment planning, drug guidance and evidence synthesis, with every output citable to peer-reviewed literature and international guidelines.

PREDICT

EMR-Integrated Clinical Decision Support

Runs inside the EMR as a FHIR R4 and CDS Hooks service. Continuously monitors live patient data, computes risk, and delivers guideline-grounded alerts at the workflow event.

HOW IT WORKS

From chart open to documented decision

Predict completes the full loop inside the clinician's existing screen — no second application to open, no leaving the workflow.

01

Chart open or workflow trigger

A CDS Hooks event fires on patient-view, order-select or order-sign. Patient context arrives over FHIR R4.

02

Risk computation

Validated scores run against the live record: SCORE2, UKPDS, CKD-EPI, NEWS2 and Sepsis-3 criteria. Target: under 1 second.

03

Evidence synthesis

Retrieval ranks the relevant guidance from the indexed evidence base against this specific patient profile. Target: under 2 seconds.

04

Alert delivery

A tiered alert surfaces inside the EMR with the rationale, the evidence grade and one-click access to the source. Under 3 seconds end to end.

05

Decision capture

The clinician accepts or overrides. Both paths are captured and feed the quality improvement and audit dashboard.

Risk detection across acute and chronic care

Each module is anchored to named international guidelines, so every alert can be traced back to the standard it came from.

Sepsis Surveillance

Continuous inpatient and post-ED surveillance across 50+ clinical variables, refreshed every 15 minutes. Sepsis-3 and NEWS2 scoring, with tiered escalation toward Hour-1 bundle recommendations.

Surviving Sepsis 2021
Sepsis-3
NICE NG51
IDSA 2024

Hypertension

Trend analysis across in-hospital, remote monitoring and telehealth blood pressure readings, against ESC/ESH thresholds. Surfaces uncontrolled patients between appointments rather than at the next crisis.

ESC/ESH 2023
NICE NG136
ACC/AHA 2023

Diabetes & Renal Care

HbA1c trajectory, eGFR decline and screening-gap detection. Flags high-risk cohorts where a guideline-indicated SGLT-2 inhibitor or GLP-1 receptor agonist has not been started.

ADA 2024
KDIGO 2024
EASD/ADA 2023
EVIDENCE-FIRST ARCHITECTURE

Every alert is traceable to the guideline it came from

An alert a physician cannot verify is an alert a physician will not act on. The reasoning behind every recommendation is inspectable in one click and defensible in the medical record.

Retrieval-grounded

Answers are generated against the indexed evidence base rather than model priors alone.

Confidence thresholds

Low-confidence responses are flagged or withheld rather than presented as certainty.

Clinical citations

Every recommendation links to the source, the specific section and the evidence grade.

Physician in the loop

Clinicians accept or override. Predict supports the decision. The clinician makes it.

FAQ's

How does Predict avoid adding to alert fatigue?

Alerts are tiered by severity and routed by role, so a soft nursing advisory never arrives as a physician interruption. During pilot activation, alerts run in shadow mode against live data while precision is measured and thresholds are tuned with your clinical team. Overrides are captured with reason codes and drive ongoing recalibration.
Predict connects through FHIR R4 and CDS Hooks, and supports HL7 v2 streams routed via Rhapsody, Mirth or a native integration engine. Compatibility with your specific environment and version is confirmed during architecture review.
In-region and in-Kingdom hosting options are available so data can remain inside your regulatory boundary. Transport is secured with TLS 1.2 or above, with optional mutual TLS. Full deployment and data-flow documentation is provided for information security review.
Integration and security work typically runs over the first two months, with pilot activation in months two to three and clinical go-live from month three. The exact path depends on your integration engine, governance process and module scope.
 
Yes. Standard practice is two service lines in pilot, most often hypertension and diabetes, before the sepsis module is activated in ED and ICU.
International guidelines including ESC/ESH, ACC/AHA, ADA, KDIGO, NICE, IDSA and Surviving Sepsis, alongside peer-reviewed literature. Every recommendation links to the specific source and section.

Make every clinical decision faster, safer and defensible

HakeemDx Predict deliver AI clinical reasoning where it belongs: inside the workflow, grounded in evidence, and accountable in the record.