11 Essential Elements of a Connected Laboratory Data Enterprise

Clinical laboratories can play a key role in digital healthcare transformation through the power of connected data. With diagnostic data accounting for the largest portion of a patient medical record, connected labs can be in the forefront of positive change. This all starts with an intelligently connected data enterprise enabling fast visualization, intuitive data presentation, seamless interoperability, and collaborative data sharing throughout the care community.Here are 11 ingredients that should be included in any smart clinical laboratory data enterprise.

Uncover new ways to optimize data in your diagnostic laboratory here.

Here are 11 ingredients that should be included in any smart clinical laboratory data enterprise.

1. Increased ROI with limitless data exchange

Enable limitless connections from point to point and cloud- based interfaces for seamless data interoperability between your clinical laboratory and data from any healthcare information system (HIS). Seamlessly interface means better return on investment & improved customer outreach.

2. Optimized clinical, operational, and financial workflow

Ensure bidirectional exchange between EHR, laboratory information systems (LIS), billing, and practice management systems for increased workflow accuracy, reduction in redundancy & faster turnaround time.

3. Seamlessly managed clinical orders and results

Intelligently route orders to partner diagnostic centers based on provider preference, insurance requirements, or site capabilities, while maintaining integrating with your scheduling & registration systems.

4. Improved Care Coordination

Designate multiple providers to share patient data for improved care coordination & communication for collaborative design making and reduction in duplicate orders. Connect disparate systems with point to point configuration or cloud-based hubs for limitless data sharing.

5. Assured compliance with quality and performance initiatives

Multi-directional clinical data sharing between hospital, ancillary departments, physicians, health plans, and regulatory agencies can lower overhead and produce more accurate measurement of provider performance & care quality.

6. Enhanced Clinical Outcomes

Consolidate results delivery at the point of care to produce faster, more complete information to support providers ability to improve patient outcomes.

7. Increased Financial Performance

Normalize and integrate data from disparate systems to optimize existing healthcare information technology investment. Refresh old technology with new capabilities enable through plug and play modules.

8. Maximized outreach to referring physicians

Create an intuitive visualization of orders, referring medical practices and frequency to stay ahead of competition and changes in practice behaviors.

9. Stay Compliant

More complete data helps to improve operational efficiencies & compliance with third party payers & government regulations.

10. Actionable Performance Intelligence

Enlist an administrative portal to allow real-time views of turnaround times, volume, and service efficiency.

11. Analyze Real-time Referral Patterns

Use artificial intelligence to analyze physician order patterns to be alerted to sudden spikes or drops in referrals by a physician, medical practice, or clinic.Optimizing the collaborative exchange of clinical data within your referral base and care community can help your close care gaps with more holistic patient data, maintain compliance with quality and performance measures, and identify intervention opportunities for rising risk patients.Integrated Systems Management (ISM) are the leaders in health data engineering. With a highly skilled team of analysts, clinicians and technologist, ISM can create and implement a data infrastructure to help you maximize your clinical laboratory enterprise.

Take advantage of a free consultation to find out how to optimize lab data.

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