Products and Ongoing Projects


In-Reach: Secure messaging to patients of authentic information.

This technology allows patients to be granted secure access to their confidential information in source systems through the use of a mobile application. Using our Application Programming Interfaces (APIs), Electronic Medical Record (EMR) providers may directly integrate the functionality of sending private messages to patients on their mobile devices through the interim of our mobile application. Once notified, patients may view an original version of their medical information in the palm of their hand, directly from the source system, thereby guaranteeing authenticity. This entire process is journalized for full traceability, and an automated ‘safety net’ feature is built-in to ensure unread messages are promptly flagged for further action.

Additional functionalities provided to patients by using the mobile application include:

  • Receiving test or consult requisitions from their care providers,
  • Appointment confirmation or cancellation,
  • Consent management for interest in medical research studies.

Clinics and medical professionals benefit from this technology by making the communication of all results and requisitions to patients a breeze, and greatly reducing the humanpower needed to manage phone calls and follow-ups. Patients benefit from having secure immediate access to their medical information, including personalized messages and instructions from their care providers, and being able to manage their appointments and consent for interest in research studies, all in an easy-to-use mobile application.

In-Reach has been in production since March 2019, and has been certified secure by Trousse globale de vérification (TGV) from Ministère de la Santé et des Services sociaux du Québec.


In-Touch: Asynchronous bidirectional secure communications with Request-response reconciliation.

This initially stand-alone product will provide a web portal for healthcare providers and a mobile application for patients to allow asynchronous bidirectional secure communications, and Request-Response Reconciliation (RRR). The functionalities of our In-Reach technology will be integrated and expanded upon to create In-Touch. This solution will allow groups of healthcare providers, or circles-of-care, to securely and fluidly communicate with patients on their mobile devices through the interim of our mobile application. Patients will be able to communicate back-and-forth with their circle-of-care, receive test results and requisitions, and manage their consent for interest, participation, and sharing of their information with medical research studies.


Request-Response Reconciliation

Medical professionals will greatly benefit from a robust method for Request-Response Reconciliation when using In-Touch. When a test, lab, imaging, or consult is requested by a healthcare provider, In-Touch will allow them to specify an automated follow-up protocol to contact the patient after the specified delay and obtain their response if they have completed the action. This process will be supported by a ‘safety net’ to alert the healthcare provider of any outstanding requests or unanswered messages. No longer will requests or test results be missed, directly addressing a growing need in the medical profession to do away with the ’no-news-is-good-news’ approach, thereby protecting patient health and safety, and healthcare professionals’ medico-legal responsibilities.

LIS Interface

Portable EHR is already negotiating terms to interface with one of the major Canadian private Laboratory Information System.

RIS Interface

Portable EHR is now negotiating with third parties to interface with their Radiology Information System.

The aim is to put patients in the loop to ensure proper follow-up, improve outcome and decrease liability to both radiologists and clinic managers

CTMS Interface

In its vision to democratize medical research and allow citizens to control access of their own data by third parties, Portable EHR is working to interface a CTMS (Clinical Trial Management System) to its application.

It will greatly facilitate access to cohorts in a much shorter time while allowing citizens to manage their consent to data sharing in real time through their mobile

Smart Cohorts

“Smart Cohorts” using Artificial Intelligence

This project is designed to use Machine Learning to train an Artificial Intelligence predictive algorithm that takes as input incomplete patient data and produces as output a measure of fit for a patient being included in a pharmaceutical research study. Participants in the study will be able to use a mobile application to provide and manage their consent, and to securely and confidentially share access to their medical information stored in connected source systems. The mobile application will also gather missing information using automated functionality. The resulting tool will be able to rapidly and cost-effectively gather a ‘smart cohort’ of participants meeting the inclusion and exclusion criteria of a client pharmaceutical company.