Custom Laboratory Information System

• Bidirectional data exchange between LIS and EHR/EMR, HIE, billing software, and other enterprise systems.
• Support of the required data formats (e.g., XML, JSON) and data exchange protocols (e.g., HL7, ASTM).
• Automated transfer of test results to LIS from lab instruments (e.g., HPLC, GC-MS, LC-MS) and molecular diagnostic platforms (e.g., PCR, NGS).
• Commands and requests to lab instruments (e.g., calibration requests).
• Tools for communication between patients, laboratory staff, healthcare providers and other parties (e.g., internal messaging systems).

• Generating barcodes and printing labels.
• Real-time sample logging with the help of barcode scanners.
• Tracking sample locations, storage conditions (e.g., temperature, humidity) and expiration dates.
• Linking samples to the relevant tests (including linking multiple tests to one sample or multiple samples to one test).
• Manual and rule-based updates on sample status.
• Disposal management (e.g., maintaining records of sample disposal methods and dates).
• Real-time notifications to staff (e.g., on result availability, process discrepancies).

• Test order entry via different options (as an H7 message from EHR/EMR; by uploading CSV, via web portal, XML and custom entry).
• Customizable templates for electronic requisition forms, collection lists, test reports.
• Automated interpretation of test results.
• Test validation capabilities (e.g., ability to accept, re-run, reject a test, order additional tests and send the relevant notifications).
• Rule-based test routing to specific instruments or reference labs.
• Automated generation of test result reports with delivery to the relevant parties.

• Aggregating non-clinical patient information (e.g., name, age, sex, address, data of birth, contact info, insurance details, patient consent information).
• Accumulating medical history data (e.g., previous test results, diagnoses, allergies, medications, clinical notes).
• Automated linking of test results to patient profiles.
• Manual and rule-based patient data updates with automated notifications to the staff.

• Comparing test results against the set validation criteria from lab standards, internal protocols, and regulatory requirements.
• Comparing QC samples with actual test samples.
• Documenting, tracking and validating corrective and preventive actions (CAPA).
• Alerts on out-of-control results.

• Capabilities for creating customized workflows in line with SOPs (e.g., adding sample-specific tasks, assigning required inputs for certain steps, providing prompts) without the need for any custom programming.
• Scheduling and task assignment based on staff skills and availability.
• Tools for patient appointment scheduling.

• Tools for inventory and equipment cataloging.
• Real-time tracking of laboratory supplies and sending out-of-stock and expiration alerts.
• Automated inventory reordering.
• What-if modeling for simulating procurement strategies.
• Automated generation of purchase orders.
• Order tracking from placement to delivery.
• Supplier performance evaluation (e.g., based on delivery time, material quality).

In line with CLIA, HIPAA, and other regulations

• Mechanisms for sensitive data protection (e.g., data masking and encryption, two-factor authentication, role-based access).
• Centralized storage of regulatory documents, including SOPs and quality manuals.
• Automated logging of all system activities (e.g., user actions, equipment usage, data modifications).
• Regulation-specific capabilities (e.g., automated quality checks to ensure compliance with CLIA).
• Process-specific compliance checklists.
• Automated generation of reports for regulatory bodies in compliant formats (e.g., for FDA, CAP, CMS).

• Continuous monitoring of equipment status and availability.
• Automated scheduling of equipment maintenance and calibration based on data from equipment logs, manufacturer recommendations, and internal protocols.
• Predictive equipment maintenance.

• Service catalog with service descriptions, turnaround times, and pricing.
• Automated quote and invoice generation based on provided services.
• Payment processing via integrated payment gateways.
• Order placement, status updates, and access to test results for patients.
• Feedback gathering tools (e.g., patient surveys).

• Monitoring lab operational KPIs (e.g., turnaround time, cost per test).
• Data segmentation (e.g., costs per test type, suppliers by performance).
• Identifying root causes of inefficiencies and errors (e.g., deviation from QC standards due to improper instrument calibration).
• Predictive analytics and what-if modeling (e.g., to forecast inventory demand).