openEHR does not have a UI. That means I will have to create an EHR from scratch, or build upon open EHRBase.org Version. Correct? or in more technical parlance develop my own version or use someone’s reference implementation.? If someone else’s Reference Implementation, where are they indexed or repositoried?
If correct, are there examples of EHRs created in the past, available online? esp. on youtube where the functioning of the EHR has been demonstrated?
My primary aim(s) are to create an openEHR based comprehensive EHR, scalable to a Unified Digital Health Platform (UDHP) down the line, that can help me;
(1) Incorporate and Integrate all the available WHO Digital Adaptation Kits vis-a-vis, (in order of implementation)
- WHO.SMART.DAK-HIV2edition
- WHO.SMARTDAK-TB
- WHO.SMARTDAK-FP (Family Planning)
- WHO.SMARTDAK-SMBP (Self Measurement of Blood Pressure during Pregnancy)
- WHO.SMARTDAK-ANC (Antenatalcare). A similar Capstone by Nicola Hall Cohort1 was the motivation behind my capstone.
- WHO.SMARTDAKPNC ( Post Natal Care)
- WHO.SMARTDAK-Birth Defects
- WHO.SMARTDAK (Child Health 0-59 months) . A cute 4 year old kid lives with me at my home and I want to implement this DAK over his WOMB to TOMB Shared Single Patient Record.
- WHO.SMARTDAK-Immunization
(2) Build Clinician-First Precision Medicine Infrastructure
I have a long standing wish to do something on Transforming EHRs like Medknowts, but I am clueless about this untouched area as my expertise is rather in Health Information Management than Clinical Integration or Interoperability space. However I am a very strong proponent of GPs taking quintessential role using Health AI, and take the load off the Health Systems and provide Succint, Non Nalefiscence, Quintuple Aim Healthcare at the first point of entry of a patient. I maintain a General Practice Clinic that I have evolved to a Gynae OPD/Ambulatory clinic recently by having a OBS/Gynae on call every tuesday.
In addition I run 6 Generic Medicine Stores situated around 2 Kms apart where I give GP services for 2 hours per day, a branded drug store, a healthtech company and a foundation into Digital Transformation of Healthcare ( Not Yet functional). I wish to initiate PREM and PROM at all 6 + 1 drug stores, in order to achieve some sort of TRE Trusted Research Environment where I can collect credible integral data on openEHR instances and tender it to India AI Mission for RWE and Drug Discovery.
Together I wish to practice Precision Medicine ultimately.
Eventually, at all 6 Generic Medicine Stores, I plan to run Conversational AI, Google AMIE thus Deploying AI in Primary Care and Pharmacy
AI->Generative AI>Conversational AI->HealthAI>Google A.M.I.E.
I am new to EHR and please alert me/reframe my questions, if not succinct or aligned with discourse guidelines.
Regards,
Mayank Agarwal
Agra
India
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I ran Siddharth Ramesh’s youtube video WhatisopenEHR and How do I use it on a google Notebook LM and it generated the following:
Building Health Software with openEHR Templates and Archetypes
1 source·16 Jun 2026
The source material describes openEHR, a specialized technical framework designed to revolutionize how healthcare software manages and stores medical information. Unlike traditional systems where data formats are often proprietary and hidden within the code, this approach uses a separate data layer consisting of standardized building blocks called archetypes and templates. By assembling these vendor-neutral components, developers can create flexible clinical forms while ensuring that the underlying records remain uniform and interoperable across different applications. This separation of content from the software ensures that patient data remains accessible even when a hospital decides to switch software providers or upgrade their systems. Ultimately, the framework prioritizes a reference model that allows for consistent data querying and long-term storage, offering a more structured and stable alternative to other standards like FHIR.
Tuesday, 16 June
How does openEHR improve data portability between hospital software systems?
openEHR improves data portability by separating clinical content from the software application itself, ensuring that data is stored in a uniform, non-proprietary format that any compatible system can read.
Key mechanisms that facilitate this portability include:
1. Separation of Concerns
In traditional systems, clinical content is often hardcoded into the software. openEHR dictates that this content should reside separately through the use of archetypes and templates. This means the software doesn’t “own” the data structure; instead, it uses external definitions to handle clinical information.
2. The Reference Model (RM)
All data in an openEHR system is stored as an instance of a Reference Model, which is a formal specification provided by openEHR. This ensures that no matter which database or application is used, the data layer remains uniform. Because applications read and write to this identical standard, information remains consistent across different software systems.
3. Standardised “Building Blocks” (Archetypes)
- Archetypes: These are “maximal data sets” or “building blocks” (similar to Lego bricks) for clinical concepts, such as the Glasgow Coma Scale or pulse.
- Clinical Knowledge Manager (CKM): These archetypes are sourced from a central repository, ensuring that a specific clinical concept is represented the same way everywhere.
- Consistency: Unlike other standards where data representation might vary between different profiles, an openEHR archetype is consistent no matter which template it is used in. This allows a new application to immediately understand and use data created by a previous system.
4. Future-Proofing and Vendor Neutrality
Hospital systems are typically replaced every 7 to 15 years, often resulting in significant data loss because information is trapped in proprietary formats. openEHR eliminates this by:
- Preventing Data Loss: Since data is stored in a uniform format based on the Reference Model, any application that replaces an old one can use the existing data without loss of information.
- Encouraging Competition: Software vendors are forced to compete on features and pricing rather than by “locking” data into a proprietary format.
While openEHR focuses on this uniform internal storage, it can also be converted (serialized) to other formats like FHIR resources for external sharing, further enhancing its ability to communicate with diverse systems.