As a member of the Indonesian Healthcare Association (AHI), PT Quantum Infra Solusindo, as a SIM-RS application developer, will work alongside the best practices in the healthcare sector. At the National Seminar on Data Management and Artificial Intelligence for Healthcare organized by CIO Healthcare Indonesia, it was emphasized that the era of digital transformation in the healthcare sector has changed the way data is managed and medical services are provided. Data has now become a strategic asset that must be managed systematically in order to support innovation and evidence-based decision making. In this context, good data management and the use of Artificial Intelligence (AI) are two main pillars that complement each other to improve the quality of healthcare services.
The event opened with a keynote speech by Setiaji (Chief Digital Transformation Office of the Ministry of Health), who provided participants with insight into the Data Management Body of Knowledge (DAMA-DMBOK) framework, which covers 11 main areas of knowledge, namely 1. Data Governance 2. Data Architecture 3. Data Modeling & Design 4. Data Storage & Operations 5. Data Security 6. Data Integration & Interoperability 7. Documents & Content Management 8. Reference & Master Data 9. Data Warehousing & Business Intelligence 10. Metadata Management 11. Data Quality. The application of DAMA for healthcare facilities includes
- Data Management Maturity Assessment (DAMA Maturity Assessment)
- Improving Training and Certification of Talent in the field of Health Data Management (e.g. CDMP)
- Establishing a clear Data Governance Structure (roles of Data Owner, Data Steward)
Alex Budiyanto, President of DAMA Indonesia Jakarta, also emphasized that amid the complexity and dynamics of the healthcare system, Data Management as a comprehensive discipline is the main foundation in maximizing the strategic value of healthcare organizations data assets.
In the context of the health sector, data management plays a crucial role. This is due to the sensitivity, complexity, and large volume of medical data, which demands high standards in terms of security, quality, and integrity. The implementation of Electronic Medical Records (EMR), which has been mandated through Minister of Health Regulation No. 24 of 2022, is an important milestone in the digitization of health services. All healthcare facilities are required to adopt EMR and integrate it with the national SATUSEHAT platform, which is the backbone of Indonesia’s health information system.
Furthermore, Artificial Intelligence (AI) has opened up great opportunities to improve the efficiency and effectiveness of healthcare services. However, the success of AI implementation is highly dependent on the quality, completeness, and representativeness of the data used as training data. Without a strong data management foundation, there is a risk of bias, inaccuracy, and failure of AI models to generalize to the population.
Intel Corporation, widely known as the world’s largest processor company, is also contributing to increasing the use of AI in the healthcare industry with its AI innovation, namely the launch of OpenVINO™ IPEX-LLM. Fransiskus Leonardus (Enterprise Country Lead Indonesia INTEL) explained the use of AI Triage “Intelligent Medical Triage,” the use of AI for clinical transcription “Intelligent Transcription for Clinical Documentation,” and the multimodal AI assistant for Clinical Confidence “Multimodal Vision Assistant.”
Next, Julian Petrescu (Senior Business Development Manager at Intersystem) explained how Generative AI will work in the healthcare industry today and in the future.
Basically, the specific objectives of this seminar were to encourage the implementation of DAMA-DMBOK-based data governance, achieving data architecture standardization and interoperability, strengthening data security and regulatory compliance, optimizing healthcare data quality management, accelerating the adoption of AI technology in healthcare services, evaluating case studies and measuring the impact of AI, mitigating risks and implementing ethical AI, and building a collaborative digital healthcare ecosystem.
Source:
- Seminar Nasional: Data Management & AI for Healthcare – CIO Healthcare Indonesia
- Term of Reference Seminar Nasional Data Management & AI for Healthcare
