Digital Adaptation

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 Adaptation Kits (DAKs) are part of WHO’s SMART guidelines initiative. This aims to ensure that the content of WHO’s evidence-based guidelines is accurately reflected in the digital systems being used at country level. The DAKs provide software-neutral, operational, and structured documentation based on WHO recommendations related to clinical care, health systems and use of data, to systematically and transparently inform the design of digital systems. Standard components of each DAK include: (1) linked health interventions and recommendations; (2) user personas; (3) user scenarios; (4) business processes and workflows; (5) core data elements mapped to standard terminology codes (e.g. the international classification of diseases); (6) decision support; (7) programme indicators; and (8) functional and non-functional requirements.

Sun (communication electronics, U. of Hertfordshire, UK), this volume's editor, also contributed a chapter on the architectures and design of OTA/gm-C filters. The other papers describe on-chip automatic tuning of filters, analog adaptive filters, low voltage techniques for switched-current filters, log domain filters, the MOSFET-C technique and active filters using integrated inductors. The contributors teach electrical engineering in the US, the UK, Thailand, and Canada. Annotation copyrighted by Book News, Inc., Portland, OR

This book is a practical resource on how to help senior management understand the Web and adapt the business, culture, teams and workflows accordingly. No fluff, no theory--just techniques and strategies that worked in practice, and showed results. --

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.