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Interoperability-For-Hospital-Care-Consortium 4

Enabled data interoperability for a leading U.S. care consortium, facilitating seamless sharing and integration of healthcare data across diverse systems and providers. This achievement enhances collaboration, improves patient care quality, and optimizes operational efficiency within the consortium's expansive network, setting a new standard for healthcare data management and interoperability.

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Interoperability-For-Hospital-Care-Consortium 4

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  1. Delivered Data Interoperability to one of the United States largest Care Consortium  About Customer: Our customer is a California based care consor�um that was established in 1945 and has been providing comprehensive medical care with their consolidated group of hospitals, medical groups and non-profit health plan ini�a�ves.  Customer Highlights: Customer has more than 35+ hospitals, 600+ medical offices and a personnel of 80.000+ physicians and nurses across the United States Customer has a total funding of $7.5 Million over the years Customers has a widespread network of healthcare ecosystem present in 8 states of the US Business Scenario: Customer wanted to create interoperability amongst their hospitals and their connected digital healthcare systems Integrate custom interoperability engine that can adhere to their internal and external systems Generate REST APIs that can facilitate FHIR based data exchange capabili�es AIMDek Digital Partnership Scope: To ensure that customer can get an integrated system and create op�mized data interoperability, our cloud engineers deployed AIMDek’s proprietary Interoperability Architecture that we have built as an accelerator for Healthcare Organiza�ons and MedTech companies to become a cloud intelligence pla�orm.

  2. The Solution: Cloud Interoperability in a Hospital Ecosystem The hospital has implemented diverse healthcare systems, including EMR, EHR, RPM, Telehealth, and others. The challenge is to seamlessly exchange cri�cal data among these systems, specifically related to healthcare providers, laboratory results, and ongoing clinical trials. Interoperability Components & Data Formats: AIMDek Interoperability Engine: We deployed a sophis�cated interoperability engine that adheres to the latest USA-based healthcare regulatory standards (such as HL7, FHIR, and DICOM). This engine acts as a centralized hub for data exchange, ensuring seamless communica�on between various systems. Lab Data Exchange: Secure exchange of lab data between the hospital's laboratory informa�on system which was legacy card punch system combined with na�ve mobile applica�on and they were both connected to EMR and EHR systems. This ensured that healthcare providers have real-�me access to the latest lab results, enabling them to make informed decisions about pa�ent care. Data Format: DICOM was used for Lab data communica�on protocols with different healthcare systems. Interoperability File Format: DICOM based Implicit VR Li�le Endian and Explicit VR Li�le Endian, Metadata Tags, Pixel Data and Mul�-frame DICOM. Remote Pa�ent Monitoring (RPM): The hospital employs RPM solu�ons to monitor pa�ents remotely, collec�ng data on vital signs, ac�vity levels, and other relevant health metrics. The interoperability engine integrates with RPM systems, enabling the seamless transfer of pa�ent-generated health data to both EMR and EHR systems. This ensures that healthcare providers can monitor and respond to changes in pa�ent health in real �me. Data Format: Con�nua Health Alliance standards (such as IEEE 11073 and ISO/IEEE 11073) were used for RPM data, defining communica�on protocols for health devices. Interoperability File Format: XML or HL7 CDA (Clinical Document Architecture) as interoperability formats for remote monitoring data. marke�ng@aimdek.com

  3. Telehealth Solu�ons: Telehealth solu�ons were implemented to facilitate virtual consulta�ons and remote healthcare services using Vidyo. Our interoperability engine enables the exchange of pa�ent data, including consulta�on notes and treatment plans, between Telehealth pla�orms and EMR/EHR systems, ensuring that virtual care is seamlessly integrated into the pa�ent's overall healthcare record. Data Format: Combina�on of Con�nua Health Alliance Standards for device communica�on and DICOM (Digital Imaging and Communica�ons in Medicine) for medical imaging data. Clinical Trial Collabora�on: The hospital ac�vely par�cipates in clinical trials to advance medical research. The interoperability engine extends its capabili�es to integrate with external clinical trial databases. Pa�ent eligibility criteria, enrolment status, and relevant trial data are exchanged between the hospital's systems and external databases, fostering collabora�on, and suppor�ng research ini�a�ves. Data Format: CDISC were used to define communica�on protocols for clinical trial pla�orms. EMR and EHR Integra�on: The interoperability engine enabled bidirec�onal communica�on between the EMR and EHR of Epic Systems, ensuring that pa�ent records are consistent across both pla�orms. Health updates, medica�on changes, and treatment plans ini�ated in the EMR are instantly reflected in the EHR, providing a unified view of pa�ent informa�on. EMR (Electronic Medical Records) Data Format: Con�nua Health Alliance standards (such as IEEE 11073 and ISO/IEEE 11073) were used for RPM data, defining communica�on protocols for health devices. EMR (Electronic Medical Records) Interoperability File Format: HL7 messages encoded in XML or JSON format, following the FHIR (Fast Healthcare Interoperability Resources) standard for modern interoperability. EHR (Electronic Health Records): HL7 FHIR resources encoded in XML or JSON format. FHIR resources were used for provider, pa�ent and lab informa�on exchange including Pa�ent, Encounter, Observa�on, and others. marke�ng@aimdek.com

  4. FILE FORMATS STANDARDS HL7 (v2 and FHIR), XML, JSON, .dcm, JSON, CDA based XML, ODM in XML, SDTM-XML, CTR-XML DICOM, HIPAA, FHIR, HL7 v2, CDISC, Con�nua Health Alliance Standards Outcomes Delivered: Complete data interoperability with compliance to the FDA interoperability standards End-to-end data inges�on, management, processing, and distribu�on ecosystem Hospital chains were able to export data with on-call APIs to the Clinical Trials organiza�ons We delivered enhanced pa�ent care, streamlined workflows, and delivered research collabora�on marke�ng@aimdek.com

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