Digital technologies hold great promise for improving the delivery of health services and helping countries to progress towards universal health coverage. This report summarizes initial systematic work to make the economic case for implementing a set of evidence-based digital health interventions for NCD prevention and management, including telemedicine, mobile health and health chatbots. It also highlights the importance of improving access to relevant digital tools and infrastructure.

To ensure that countries can effectively benefit from digital health investments, “digital adaptation kits” (DAKs) are designed to facilitate the accurate reflection of WHO’s clinical, public health and data use guidelines in the digital systems that countries are adopting. DAKs are operational, software-neutral, standardized documentations that distil clinical, public health and data use guidance into a format that can be transparently incorporated into digital systems. For this particular DAK, the operational requirements are based on systems that provide the functionalities of digital tracking and decision support (DTDS) and include components such as personas, workflows, core data elements, decision-support algorithms, scheduling logic and reporting indicators. Web annexes provide certain components in additional detail including: data dictionary (Web Annex A), decision-support logic (Web Annex B), indicator definitions (Web Annex C), and functional and non-functional requirements (Web Annex D). Data elements within the DAK (Web Annex A) are mapped to standards-based terminology, such as the International Classification of Diseases (ICD), to facilitate interoperability. This DAK focuses on providing the content requirements for a DTDS system for HIV care used by health workers in primary health care settings. It also includes cross- cutting elements focused on the client, such as self-care interventions.

Digital health is a rapidly expanding area of interest for both research, policy and practice, and within that area digital technologies (DTs) for health financing receive increasing attention. DTs can change the nature and business processes of health financing functions and tasks and modify the interactions between health financing actors. Depending on their design features and actual implementation as well as broader contextual factors, DTs can affect the health financing tasks and functions (positively or negatively). However, little robust evidence exists on the impact of DTs specifically on health financing and universal health coverage (UHC) objectives. More rigorous evaluations in this area is urgently needed. The aim of this guide is to support the evidence generation on DTs for health financing. The guide provides orientation to analyse a country use case of digital technology and its (positive and negative) effects for health financing, i.e. whether, how and why it contributes to the realization of desirable health financing attributes and UHC intermediate and final objectives or whether, how and in which circumstances it is actually harmful to these.

These consolidated guidelines are aimed at supporting the generation of responsive person-centred data from routine national health management information systems across the HIV cascade, from prevention, testing and treatment to longer-term health care. They build upon the 2017 Consolidated guidelines on person-centred HIV patient monitoring and case surveillance, which describe information that should be collected in primary HIV patient monitoring tools, and the 2020 Consolidated HIV strategic information guidelines, which cover aggregate indicators for managing and monitoring programmes. The purpose of this guideline consolidation is to provide the recommended data elements, indicators and guidance on data systems and their use across the spectrum of health sector HIV services in one place. This document focuses on strengthening the analysis and use of routine data at each stage of the cascade and emphasizes?/addresses? person-centred HIV prevention, testing and treatment, integration of HIV-related infections, the use of routine surveillance data to measure impact, and the development and use of digital health data systems and their governance. It also identifies the gaps and limitations in these data, and the need for strengthening the use of data in all HIV-related strategic information, including population-based surveys, modelling, community-led monitoring and other sources.