#Opensource Healthcare Community for #DigitalHealth #Ecosystem [OpenHealthCODE]

Digital Health 101 is a basic set of webinar recordings from AHD Academy.  Suitable for Doctors/Nurses/Clinicians, Public Health and Healthcare Managers, Government Administrators and Technologists interested in Digital Health. The Courses are spread across Basic, Specialist and Expert Levels.   It is a video based learning model and  It is free.   Disclaimer:   AHD Academy is a Library of Live Webinar Recordings from AHD on various Digital Health topics. It is opensource material meant for learning from experts at your own pace. This is Not an Academic Course material. Please do not confuse these webinar recordings with regular recognized courses run by universities/colleges. You may contact your College, University, Organization for  properly moderated  Lectures, Trainings, Courses  on Digital Health. Basic Course for Digital Health Enthusiasts: Suitable for Clinicians, Healthcare Managers, Govt Administrators and Technologists interested ...

Social Entrepreneurship Accelerator [SEA] OpenHealthCODE  is a a not for profit think tank working on NDHB Digital Health Standards for India. We run a Social Entrepreneurship Accelerator [SEA] for helping Indian HealthTech startups and vendors to implement Open Digital Health Standards that are applicable globally. #AtmaNirbharBharat #VocalForLocal SEA Silver Club Silver Club has implemented the Standards and achieved our  Stamp of Confidence . https://openhealthcode.blogspot.com/2021/07/stamp-of-confidence.html SEA implements the eObjects Interoperability framework. eObjects were first written by Prof Dennis Streveler and Dr Pankaj Gupta in a white paper in Nov 2018 that was published by Niti Aayog in the book  Health Systems for New India, Chapter 5 - Reimagining India's Digital Health Landscape Wiring the Indian Health Sector in Nov 2019. SEA Objectives SEA Cohort 1 SEA Cohort 2 In late October 2020, India's National Health Authority' Market ACCESS Program [MAP] put 1...

Since the start of the Millennium, India has been trying to overcome the problem of interoperability and fragmented healthcare delivery ecosystem across states, health policies and vertical health programs to deliver seamless or uninterrupted continuum of care. With the launch of the Pradhan Mantri Jan Arogya Yojna (PMJAY), that covers & provides free healthcare to approximately 40 % of the Indian population, it has become critical to identify each patient uniquely. The criticality for unique identification of individuals got highlighted when India was hit by the COVID 19 pandemic – when patient tracking and relevant health information on comorbidities was not available for effectively and efficiently executing surveillance. States and government could only collect aggregated data in non-standard and an unstructured format via door to door screening, which was extremely inefficient and poorly suited for response planning and to effectively combat a pandemic of this size and scale. ...

The Public and Private Health System in India is struggling with multiplicity of information systems being used at central as well as at state level. Each of these systems is unable to exchange data and information with each other. To overcome similar challenges across ministries, the Ministry of Communication and Technologies initiated semantic standardization across various domains under Metadata and Data Standards (MDDS) project. The intent was to promote the growth of e-Governance within the country by establishing interoperability across e-Governance applications for seamless sharing of data and services. MDDS for health domain was created by adopting global standards in such a way that existing applications could be easily upgraded to the MDDS standards.  The exercise yielded approximately 1000 data elements. These data elements were expected to serve as the common minimum data elements for development of IT applications for various sub domains of health care. The need for th...

What is a Registry? A registry is an organized system or database that collects, stores uniformed data or information about an entity like patient, person , or facility etc and is kept updated at all times to act as “Single Source of Truth” for the entity in question. The data facilitated by the registry can be accessed as service by information technology applications or by the government for planning initiatives and governance. How a Registry is different from a Directory? A registry is an official record keeping database which not only identifies an entity uniquely but also proves its existence in the ecosystem in question. E.g.: ADHAAR- A person must be listed in AADHAAR registry to be able to verify his/her identification as an Indian Citizen with authentic demographic details. Directory on the other hand does not required to be an official or comprehensive, but mere a collection of data without uniquely identifying entities listed in it and do not serve as “single ...

Overview  With a proactive concern for patient safety and quality of care, The Indian Medical Council Act 1956 prohibits a person other than a medical practitioner enrolled on a State Medical Register or the Indian Medical Register (IMR) to practice in India. Every New Medical Graduate must Register with the respective State Medical Council Register and is then allocated a registration number. With that Registration Number, the Doctor can Practice anywhere in India.  As it works Currently, apart from MCI’s National level Indian Medical Register (IMR), different state councils have their own medical Registers. The MCI then compiles data received from state medical councils. Problem Statement  Healthcare being a State Subject, a degree of latency creeps into the system. However, when a Doctor migrates to any other part of India, he/she often overlook to update the State Register and also similarly about recent Qualifications, Degrees, Certifications, etc. This...

Epidemiology Surveillance is a Lever of Change - for implementation of National Digital Health Blueprint and adoption of National Digital Health Ecosystem. Given the vast and variable nature and quality of legacy and operational data being generated in  real time which requires to be captured, any solution adopted requires to essentially ingest these  disparate forms, allowing meaningful options in its use. This becomes a tall order for traditional  architectures like Data Warehouses, that constrain the types of data that can be stored in them,  both in terms of type and quality. Data lakes are the leading edge and evolving architecture that can help store, share and use  electronic health records and other patient data in its ever-expanding variety. Data Lakes open the  possibility of taking Healthcare Analytics to its Next Level by keeping pace with the rapid growth in  types and magnitude of data that needs to be harnessed and made use of. It is imp...