IHR Health

Solutions Delivered

ihr.health met these challenges by creating three innovative tools:

Medical Interchange A cloud-native approach to accepting data exchange with traditional DMSE, Wado, and MLLP payloads and securely transporting, transforming, transcoding, and transmitting or storing the data in internal or external stores. This tool has proven to be highly effective in streamlining healthcare data interchange and improving operational efficiency.

Speech Recognition The use of Google’s Speech-to-Text has enabled medical dictation to be efficient and rapid. The integration into a radiology dictation screen allows quick and efficient transformation of the text into HL7 files that can be further added to the EMR or RIS. This tool has been highly praised by medical professionals for its accuracy and efficiency.

Machine Learning ihr.health has developed a solution that allows machine learning teams to rapidly go to market without the need for instrumenting complex DICOM, HL7, or FHIR components. This solution also de-identifies and re-identifies clinical records to ensure that patient data is not exposed to third-party models, making it highly secure and compliant.

Conclusion

ihr.health’s goal was to facilitate the exchange of healthcare information and maximize the value of data within the healthcare industry. And our suite of cloud-native tools has been highly effective in achieving these goals. By leveraging the power of cloud technology, ihr.health enables healthcare organizations to securely and seamlessly exchange information with other healthcare providers, patients, and other stakeholders. This includes medical records, diagnostic images, lab results, and other critical data that are essential for delivering high-quality healthcare services.

Due to the increasing demand for digital tools that help healthcare organizations streamline their operations, reduce costs, and improve patient outcomes, ihr.health is well-positioned to continue making substantial advancements in the healthcare industry in the future.