Automated patient monitoring that cut rehospitalizations by 52%

Automated patient monitoring that cut rehospitalizations by 52%

Automated patient monitoring that cut rehospitalizations by 52%

Case study · Healthcare

Automated patient monitoring that cut rehospitalizations by 52%

Across thousands of facilities, patient vitals were monitored by hand, so deterioration was caught late and readmissions climbed. We built an automated patient monitoring and clinical alerting system that reads live EHR data, watches vitals in real time, and sends physicians only the alerts that matter.

Industry
Healthcare, US
Client
Health data & interoperability provider
Services
Custom software, EHR integration, mobile app
Engagement
7-year partnership
52%
fewer rehospitalizations
Real time
clinical alerts to physicians
No code
to onboard a new facility
EHR integrationHL7 & FHIRNo-code rules engineReal-time alertsMobile appLTPAC

About the client

A major player in US healthcare, serving thousands of health systems, hospitals, ACOs, managed care providers, and LTPAC (long term and post acute care) facilities. They are dedicated to improving care and reducing costs while promoting interoperability between healthcare organizations, so providers can achieve better outcomes for their patients and raise the overall quality of care.

The challenge

Manual monitoring could not keep up with patient risk

Patient vitals had to be monitored continuously and checked against acceptable limits. Correlating those vitals against benchmarks and notifying the right physician was almost entirely manual, which made it tedious, slow, and easy to miss.
Physicians needed to be alerted the moment a patient's condition started to deteriorate, not hours later when it surfaced in a report.
Organizations had no single, comprehensive view of admitted and discharged patients, hospital readmissions, and the patients who needed follow-up or assistance.
The COVID pandemic raised the stakes. Monitoring the spread and severity of infectious disease, the effectiveness of vaccinations, and any post-vaccination side effects became critical, and none of it could be tracked by hand.

The solution

An automated, EHR-integrated healthcare management system

We built a Healthcare Management System that removes the manual work from patient data collection and alerting. It integrates directly with existing EHR systems to collect patient data, including demographics and vitals, promptly and continuously, so decisions are made on live clinical data instead of stale snapshots.

At its core is a flexible Domain Specific Language (DSL): a dynamic, no-code rules engine for defining exactly when an alert should fire based on a patient's medical condition. It can evaluate a single vital or several vitals together, at a single moment or across a period of time, and it accommodates the different requirements of each healthcare organization and LTPAC facility without any code deployment.

When a rule is triggered, the system sends a clinical alert with recommendations to the physician in real time through a mobile app, so the right person acts on the right patient at the right moment.

The approach

How we delivered it

1Connect to the EHR. We integrated with the client's existing EHR systems to stream patient demographics and vitals continuously, with no manual data entry.
2Configure the rules. Each organization and LTPAC facility defines its own alert conditions in the no-code engine, across single or multiple vitals and time windows, with no code deployment.
3Alert in real time. When a rule is met, a clinical alert with recommendations reaches the physician instantly on a mobile app.
HOW IT WORKS Live vitals Streamed from the EHR in real time EVALUATE Rules engine No-code conditions, set per facility SpO2 < 92 HR > 120 for 10 min NOTIFY Clinical alert Patient 204 Elevated risk detected. Review recommendations. View
How it works: live EHR data, a no-code rules engine, and a real-time clinical alert to the physician.

Putting the alert rules in each facility's hands, instead of routing every threshold change through engineering, is what let the system scale across thousands of very different care settings.

The results

A 52% drop in rehospitalizations and better care at lower cost

Rehospitalization rates dropped by 52%, creating significant cost savings for healthcare organizations and LTPAC facilities.
The no-code solution made onboarding new organizations easy, supporting each one's customized clinical alert requirements with no dependency on the development team.
Physicians received only relevant alerts, leading to prompt, effective care and fewer human-induced errors, thanks to a fully automated process for alert generation and notification.
Interoperability improved across different healthcare organizations, helping them coordinate and achieve better outcomes for their patients.
The system tracked the spread and severity of infectious disease, vaccination effectiveness, and post-vaccination side effects, contributing to stronger public health management.

Our company has teamed up with Tark for almost seven years to collaborate on a variety of projects. They are exceptionally capable at understanding not only the business requirements, but the business itself. Beyond delivering functional software, they have consistently prioritized performance, user experience, and keeping our technology stack current, and we've been able to rely on their architectural recommendations.

In our experience, most firms we've engaged with have struggled to balance requirements, deadlines, performance, and usability. Tark is a clear exception.

Client, US healthcare provider · 7-year partnership

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Comments

Deepak September 26, 2024

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