Case Study Yañez (2009, p. 503) specifies the consistency of open-EHR in accordance with the new electronic health record communication standard. The incorporation of archetypes in open-EHR models ascertains the effective reutilization of core clinical information while integrating variety of health related information for enhancing the quality of medical care across various healthcare settings. Indeed, the appropriate presentation of significant medical information through open databases facilitates clinical care in terms of rendering error free medical prescriptions following the disease manifestations. The open-EHR system effectively incorporates multiple clinical guidelines and compliance parameters for dealing with various clinical situations (Mantas, 2012, p. 491). The flexibility of open-EHR system is evident with the provision of multidimensional archetypes requiring customization by clinicians following their individualized clinical contentions (European Federation for Medical Informatics, 2009, p. 129). The review of clinical content, binding of medical terminology and language translations assisted by clinical knowledge manager effectively require clinician agreement and confirmation in accordance with the in-built policies and procedures incorporated in open-EHR system. The open-EHR model of clinical information system allows collaborative contribution by clinicians and other medical professionals for improving the quality of care and therapy to the patients’ population. The clinical process model advocated by open-EHR approaches facilitates the effective integration of EHR systems for managing the clinical information in the hospital environment (Sinha et al., 2012). Indeed, the open-EHR ontology approaches globally adopted by healthcare organizations for customizing their EHR strategies and standards following the healthcare requirements. Conceptual Basis of Open-HER: The contributors of open-EHR improvised strategic and well-planned modelling approaches with the effective utilization of ontological system for retrieving the desirable clinical outcomes (Hovenga,2010a, p. 120). The open-EHR model indeed allows user feedback and multilevel collaborations with esteemed healthcare organizations, governance policies and mechanistic procedures for systematic recording and retrieval of healthcare information. The open-EHR syntactic interoperability incorporates multidimensional aspects of data integration and representation (Dua & Acharya, 2014, p. 14). However, the application of semantic interpretability in open-EHR system ascertains the effective interpretation of clinical concepts by the domain expert. Furthermore, the semantic interoperability simplifies the data exchange processes in terms of preconfigured clinical semantics requiring effective sharing between the clinical systems. Future of Open-HER: The open-EHR system prospectively objectivizes implementation of baseline specifications for enhancing the efficiency and interoperability of clinical databases. The incorporation of ADL – 2 across open-EHR systems will ensure the formalization of unified template model enabling simultaneous incorporation of template tools and archetypes for effectively enhancing the decision support systems. The integration of open-EHR model with Snomed CT will strategize the best clinical approaches for implementing versatile models of clinical information in the immediate future. The assimilation of API definitions under open-EHR specifications will indeed facilitate effective functioning of EHR, care pathways and decision support systems in the global context. Discussions: The intent of implementing open-EHR model relates to the contention advocating the appropriate recording and management of clinical information for its prospective utilization in various clinical scenarios. The logical integration of data points across customizable archetypes in domain networking facilitates the cycling of domain content definitions for the error free interpretation of multiple clinical scenarios. Furthermore, the provision of open-EHR model mandates the collaborative co-configuration, publishing and review of clinical information for its logical interpretation. The incorporation of template in open-EHR system ascertains the integration of data items attributing to the elements of clinical investigation and medical summary. The standard clinical content definitions in open-EHR system function in accordance with the predefined instances of recorded data identified by data points attributing to data definitions for their effective utilization in various clinical scenarios. The best part of open-EHR system includes the provision of locally governed and shared archetypes allowing the consistent modification of health information irrespective of the organizational constraints. Furthermore, the extended flexibility in terms of configuration of new archetypes targets the prospective requirements of clinical data management in the global context. The querying method adopted by open-EHR follows the archetype querying language (AQL) with the vision of implementing shared care plans for the patients’ population. The open-EHR system promotes the reusability and universality of clinical information to facilitate effective care models across health care settings. The developmental approach to open-EHR system advocates the configuration of EHR repository in the absence of clinical content specifications. However, the specifications about clinical data require effective integration across separate data models for their appropriate utilization in healthcare systems in the context of clinical requirements. The open-EHR strategies indeed facilitate direct participation of clinicians and healthcare professionals in the construction of electronic health record for enhancing the quality of clinical data and consequent improvement of quality of care and therapy to the target population. The preliminary intent for conceptualizing and implementing open-EHR system attributes to developing interoperability and computability of health information for enhancing the quality of medical care across healthcare settings.