ConnectHealth by Mindbowser is an AI-powered healthcare interoperability and workflow automation platform designed to simplify integration between healthcare systems, digital health applications, medical devices, and operational workflows. The platform enables healthcare organizations, digital health companies, and MedTech providers to rapidly connect with EHR systems, clearinghouses, legacy platforms, and modern healthcare applications using interoperability standards such as FHIR and HL7.

ConnectHealth provides a low-code / no-code workflow builder that allows teams to design and automate complex clinical and operational workflows without extensive engineering effort. Organizations can create intelligent workflows for patient onboarding, eligibility verification, referral management, scheduling, prior authorizations, and revenue cycle processes. The platform also supports agentic AI and AI/ML-driven automation to orchestrate tasks, generate workflows, and reduce manual configuration across systems.

The platform is AWS-native, enabling secure, scalable deployment within the customer’s cloud environment while maintaining HIPAA-compliant data handling. Through its Smart Nodes architecture, ConnectHealth simplifies integration with EHRs, clearinghouses, legacy systems, patient portals, and third-party healthcare services, enabling seamless data exchange across the healthcare ecosystem.

ConnectHealth also supports integrations with wearables, remote patient monitoring devices, and MedTech platforms, enabling healthcare providers to collect and process real-time patient data from remote devices and digital health applications. This allows organizations to automate care coordination workflows, monitor patient health remotely, and improve clinical decision-making.

By combining interoperability, AI-powered automation, and a low-code workflow orchestration engine, ConnectHealth enables healthcare organizations to accelerate digital transformation, reduce integration timelines, and streamline both clinical and operational workflows across modern and legacy healthcare systems.

1.Healthcare IT and integration teams managing EHR interoperability

2.CTOs, CIOs, and CMIOs evaluating integration platforms for hospitals and health systems

3.Digital health product teams integrating with EHRs for care workflows, patient access, or reporting

4.Engineering leaders who want faster integration delivery with less long-term maintenance

5.Organizations standardizing interoperability across multiple partners and systems

A Texas based was looking for a single source of truth that could
provide insights on their care continuum. The organization deployed Innovaccer’s Data Activation Platform, that helped them establish intact patient records, standardize care processes, and managed to deliver meaningful information. The ACO was engaged with five national and commercial payers, looking after more than 200,000 patients. With data incoming from EHRs at 60+ practices, over 280 physicians, and three labs, the ACO required a holistic view of population health. The ACO had the following data needs:
• Data aggregation and normalization from multiple facilities
• Accurate data segmentation and ensured security
• Interoperability across systems
• Gaps in care monitoring
• Quality and performance measurement

With the help of Innovaccer's platform, the outcomes were:
• Gaps in care bridged for 9,000+ lives by 25 care managers in only 6 months.
• 1 FTE saved for the network within the first month of implementation.
• One-click access to patient records, anywhere in the network.
• Network utilization monitored across 5 measures to optimize the utilization of Emergency Room facilities, Inpatient Admits, Specialist Visits, and High Tech Imaging.
• Quality of care tracked across 20 quality measures and calculated to encourage improvement in the quality scores.
• Over 200,000 patient records streamlined for 60+ practices.

Innovaccer applications rely heavily on trustworthy data formatted into a master patient index.
DAP’s EMPI engine helps in uniquely identifying members (patients) across disparate healthcare IT systems, as an imperative for any downstream applications. DAP employs a proprietary Bayesian-based flexible matching algorithm that produces an accuracy of more than 96% every time to create a Patient 360 longitudinal view.
Deployment of pediatric solution powered by data ie. pediatric centric, we collect, normalize, standardize data and then through our automated workflows find pediatric-specific care gaps and some of them are:
Well Child Visits (W15)
Child Immunization Status (CIS)
Adolescent Immunization Status (IMA)
Private Duty Nursing (PDN), and more.

This supports our pediatric solution deployment and the data powers downstream applications to show results over 100+ pediatric measures.

Data Analysts, Administrators, IT Support personnel, Business Analysts, Data Analytics Managers