A Business Analytics Framework for Primary Care.

In this paper, we present a Business Analytics (BA) framework, which addresses the challenge of analysing primary care outcomes for both patients and clinicians from multiple data sources in an accurate manner. A review of the process monitoring literature has been conducted in the context of healthcare management and decision making and its findings have informed the formulation of a BA conceptual framework for process monitoring and decision support in primary care. Furthermore, a real case study is conducted to demonstrate the application of the BA framework to implement a BA dashboard tool within one of the largest primary care providers in England.

Usability and Acceptability of a Mobile App for Behavior Change and to Improve Immunization Coverage among Children in Pakistan: A Mixed-Methods Study.

Background: Pakistan's immunization uptake rates are still significantly lower than anticipated despite several initiatives. Lack of awareness, forgetting about vaccination schedule, and vaccine misconception/misinformation are a few of the major drivers that mitigate the rates of immunization. The current COVID-19 pandemic emphasizes the importance of immunization.

An Artificial Intelligence-Based, Personalized Smartphone App to Improve Childhood Immunization Coverage and Timelines Among Children in Pakistan: Protocol for a Randomized Controlled Trial.

Background: The immunization uptake rates in Pakistan are much lower than desired. Major reasons include lack of awareness, parental forgetfulness regarding schedules, and misinformation regarding vaccines. In light of the COVID-19 pandemic and distancing measures, routine childhood immunization (RCI) coverage has been adversely affected, as caregivers avoid tertiary care hospitals or primary health centers.

Current Challenges of Digital Health Interventions in Pakistan: Mixed Methods Analysis.

Background: Digital health is well-positioned in low and middle-income countries (LMICs) to revolutionize health care due, in part, to increasing mobile phone access and internet connectivity. This paper evaluates the underlying factors that can potentially facilitate or hinder the progress of digital health in Pakistan.

Objective: The objective of this study is to identify the current digital health projects and studies being carried out in Pakistan, as well as the key stakeholders involved in these initiatives.

Web-services-based resource discovery model and service deployment on HealthGrids.

HealthGrids represent the next generation of advanced healthcare IT and hold the promise to untangle complex healthcare-data problems by integrating health information systems and healthcare entities. Healthcare could benefit from a new delivery approach using HealthGrids to better meet the biomedical and health-related needs. Specialized services are needed to provide unified discovery of and ubiquitous access to available HealthGrid resources.

An evaluation framework for Health Information Systems: human, organization and technology-fit factors (HOT-fit).

Background And Purpose: The realization of Health Information Systems (HIS) requires rigorous evaluation that addresses technology, human and organization issues. Our review indicates that current evaluation methods evaluate different aspects of HIS and they can be improved upon. A new evaluation framework, human, organization and technology-fit (HOT-fit) was developed after having conducted a critical appraisal of the findings of existing HIS evaluation studies.

Investigating evaluation frameworks for health information systems.

Background And Purpose: Evaluation of health information systems (HIS) enables the assessment of the extent to which HIS are fulfilling their objectives in supporting the services of healthcare delivery. This paper presents an overview of evaluation in health informatics and information systems.

Methods: Literature review on discourses, dimensions and methods of HIS and IS evaluation.

Management of medicines information for patient safety.

Ensuring patient safety in the management of medicines requires the efficient collection, administration, analysis and distribution of huge amounts of data from different sources. This requires the development of generic methods and tools for tasks such as: (1) data mining and semantics-based inference; (2) integration of heterogeneous scientific information databases relating to drugs and diseases; (3) terminology and coding issues; (4) adverse drug events and signal detection; and (5) networking and security. Collaborative research and development will be required to develop coordinated health care information services.

Impact phase kinematics of instep kicking in soccer.

The purpose of this study was to capture the lower limb kinematics before during and after ball impact of soccer kicking by examining the influence of both sampling rate and smoothing procedures. Nine male soccer players performed maximal instep kicks and the three-dimensional leg movements were captured at 1000 Hz. Angular and linear velocities and accelerations were determined using four different processing approaches: processed using a modified version of a time-frequency filtering algorithm (WGN), smoothed by a second-order low-pass Butterworth filter at 200 Hz cut-off (BWF), re-sampled at 250 Hz without smoothing (RSR) and re-sampled at 250 Hz but filtered by the same Butterworth filter at 10 Hz cut-off (RSF).

Matched time-frequency filter for ECG signal enhancement.

A new method for ECG signal enhancement is presented, based on "matched" time-frequency filtering in the Wigner representation. Performance analysis shows that the method is particularly useful for noise removal in clinical ECG.