India’s Digital Health Mission: Aims, ‌Challenges and Future

⁢ Updated December 4, 2023

For more than 20 ‌years, India has been integrating⁤ information and communication technologies into its healthcare system. Both ⁤public and private sectors have been working to develop health information systems and electronic medical records. The Center for Development of Advanced⁢ Computing (C-DAC) created India’s first hospital information system (HIS) software in the 1990s.

While electronic medical records and hospital information systems exist in many corporate and some public hospitals, clinical data is rarely used to monitor ​outcomes or support clinical decisions. there is little Indian research on the impact⁢ of digital health tools on clinical results, efficiency, or ⁢effectiveness. Mobile ‍health applications are popular for health‍ service ⁢delivery, especially among frontline health workers who use them for task automation, record-keeping, and reporting.However, health information systems in low- and middle-income countries are⁢ often weak, fragmented, and focused on specific diseases, hindering evidence-based decisions.

Under the National Health Mission, ‍India has implemented various mobile applications⁢ and software programs to support service delivery. However, these applications often lack the ability to share ⁤data or facilitate referrals across the healthcare system.This absence of integrated information and the use of multiple applications leads to duplication and burdens health professionals ⁤with redundant, fragmented, and inconsistent data collection methods.

The National⁣ Health Policy (NHP) 2017 aims to achieve⁣ the⁤ highest possible‌ level of health and well-being for all, ​emphasizing preventive⁢ and promotive healthcare in all developmental policies. It also seeks to provide worldwide⁤ access to quality healthcare services without financial hardship. The NHP⁢ 2017 highlights the importance of health​ management information systems, including:

• Ensuring district-level electronic databases of health system information ‍by 2020.
• Strengthening health⁢ surveillance and establishing disease registries for public health concerns by 2020.
• Establishing ​a federated‍ integrated health information architecture, including Health Information ⁢Exchanges and a‍ National Health information‍ network, by 2025.
• Updating undergraduate and postgraduate medical education curricula to address‌ evolving disease patterns, technological advances, and emerging disease threats.

The COVID-19 pandemic exposed gaps in medical education and the healthcare ⁤workforce’s preparedness. ⁣The lack of familiarity with translating emerging‍ evidence into clinical practice, combined with the⁤ absence of national integrated health information systems, hindered the generation of local clinical insights and the monitoring ⁤of clinical outcomes. Despite the enthusiasm for digital health interventions like contact tracing apps, their effectiveness in‌ the public health ⁤response was limited.

Addressing these challenges requires digital‌ tools that​ consider end-user functionality, necessitating that healthcare professionals have a basic understanding of digital health principles⁣ and clinical​ data ‌management. One approach is for‌ the State and Union governments to ensure mass installation of a single contact tracing app or to work towards common data models when different tools are necessary. State-specific mobile apps⁣ can provide context-specific information, clinical⁤ protocols,‌ and tools to combat​ misinformation, supporting local health systems.

what’s ⁢next

Launched on August 15, 2020, the National digital Health Mission (NDHM) aims to create a national digital ‌health ecosystem that supports⁤ India’s progress towards universal health coverage. The NDHM prioritizes efficiency, accessibility, affordability, inclusiveness, timeliness, and safety. It seeks ⁢to facilitate the availability of a wide range of data, information, ⁤and infrastructure‍ services through open, interoperable, standards-based digital systems, ensuring the security, confidentiality, and privacy ⁢of health-related personal information.

The⁣ NDHM is expected ​to improve the efficiency, effectiveness, and⁢ transparency​ of ⁢health service delivery. Though, healthcare professionals must be ​trained to maximize the benefits of digital health technologies. Experiences from ​other countries suggest that introducing electronic health records without considering user acceptance, usability, preparedness, and process ⁣reengineering can lead to⁤ clinician stress and burnout.Clinicians⁣ and health professionals should contribute to designing and implementing digital ⁤health systems that focus‍ on improving clinical service delivery and ⁤monitoring outcomes.

The World Health Organization (WHO) provides guidelines on digital health interventions, offering an overview of available evidence⁣ and implementation considerations within health systems. Embedding clinical decision ‍support systems‍ (CDSS) within clinical ‍workflows can improve outcomes. Incorporating evidence-based treatment guidelines and best-practice pathways into CDSS and EHR platforms is a widely recommended strategy. ‌CDSSs aid clinicians in selecting appropriate antimicrobial therapy and avoiding‌ preventable errors, improving the overall quality of ⁤care.

the ‌long-term goal is to empower citizens with access⁤ to authentic, validated, and⁣ updated information, enabling informed decision-making ‌and increasing transparency and accountability of healthcare providers. Future health professionals will embrace⁣ digital health tools and leverage data-driven approaches to ⁢deliver evidence-informed care. they ⁣will automate repetitive tasks using validated algorithms, freeing up time for human-centered engagement and bridging the⁤ trust deficit in the‌ healthcare system.

The increasing availability of⁢ wearable devices and the Internet of Medical Things (IoMT) is becoming integral to⁢ people’s lives. These devices continually collect data from those in self-quarantine, home isolation, or recovering from​ COVID-19. Artificial Intelligence (AI) will enable clinicians to improve results and monitor activities more efficiently. AI-based avatars can manage personal health data⁤ through an ⁣integrated digital portrayal of a human,⁢ allowing clinicians to deliver tailored⁢ medical‍ interventions.

Future healthcare professionals will operate in an surroundings ⁣of massive volumes of citizen-generated data, requiring skills to glean clinically critically important signals and deliver person-centered care with ⁣empathy.Digital tools‍ should free professionals from cumbersome tasks, allowing them⁢ to extend the human touch⁤ and show they care. Future-ready health professionals will actively participate in the digital health ecosystem being built under the National Digital Health Mission.