Digital Health Data Quality Issues: Systematic Review.

Background: The promise of digital health is principally dependent on the ability to electronically capture data that can be analyzed to improve decision-making. However, the ability to effectively harness data has proven elusive, largely because of the quality of the data captured. Despite the importance of data quality (DQ), an agreed-upon DQ taxonomy evades literature.

Three novel bird strike likelihood modelling techniques: The case of Brisbane Airport, Australia.

The risk posed by wildlife to air transportation is of great concern worldwide. In Australia alone, 17,336 bird-strike incidents and 401 animal-strike incidents were reported to the Air Transport Safety Board (ATSB) in the period 2010-2019. Moreover, when collisions do occur, the impact can be catastrophic (loss of life, loss of aircraft) and involve significant cost to the affected airline and airport operator (estimated at globally US$1.

The effectiveness of transabdominal cerclage placement via laparoscopy or laparotomy: a systematic review and meta-analysis.

Objective: Failure or technical impossibility to place a prophylactic transvaginal cerclage in women with cervical insufficiency justifies the need for an abdominal cerclage. In this systematic review and meta-analysis, we studied the obstetrical and surgical outcomes of laparoscopic and open laparotomy abdominal cerclage approaches performed before (interval) or during pregnancy.

Data Sources: We performed a systematic literature search in PubMed, Embase, and the Cochrane Library for studies on laparoscopic and open laparotomy abdominal cerclage placement in February 2022.

The Cloud DX connected HealthKit Pulsewave in home blood pressure monitoring during pregnancy: A clinical evaluation and user experience study.

Objective: Clinical evaluation and user experience of the Cloud DX connected HealthKit Pulsewave wrist cuff blood pressure monitor (CDXP) for home blood pressure monitoring during pregnancy.

Methods: In the first phase, an adjusted version of the European Society of Hypertension International Protocol Revision 2010 was used to compare the CDXP and Omron M6 Comfort to the gold standard, the aneroid manometer, In the second phase, we evaluated the performance of home blood pressure measurement (HMBPM) by the CDXP to standard hospital blood pressure measurement with the Welch Allyn 53000P. Additionally, patients filled out a questionnaire regarding user experience.

Trauma by-pass guideline: A data-driven conformance analysis for road trauma cases in Queensland.

Objective: Study objectives were to (i) develop and test a whole-of-system method for identifying patients who meet a major trauma by-pass guideline definition; (ii) apply this method to assess conformance to the current 2006 guideline for a road trauma cohort; and (iii) leverage relevant findings to propose improvements to the guideline.

Methods: Retrospective analysis of existing, routinely collected data relating to Queensland road trauma patients July 2015 to June 2017. Data from ambulance, aero-medical retrievals, ED, hospital and death registers were linked and used for analysis.

A Comparative Process Mining Analysis of Road Trauma Patient Pathways.

In this paper we report on key findings and lessons from a process mining case study conducted to analyse transport pathways discovered across the time-critical phase of pre-hospital care for persons involved in road traffic crashes in Queensland (Australia). In this study, a case is defined as being an individual patient's journey from roadside to definitive care. We describe challenges in constructing an event log from source data provided by emergency services and hospitals, including record linkage (no standard patient identifier), and constructing a unified view of response, retrieval, transport and pre-hospital care from interleaving processes of the individual service providers.

Privacy-Preserving Process Mining in Healthcare.

Process mining has been successfully applied in the healthcare domain and has helped touncover various insights for improving healthcare processes. While the benefits of process miningare widely acknowledged, many people rightfully have concerns about irresponsible uses of personaldata. Healthcare information systems contain highly sensitive information and healthcare regulationsoften require protection of data privacy.

A clinical evaluation of blood pressure measurement by iHealth BP5 in pregnancy.

Objective: To evaluate the value of blood pressure measurement by the smartphone device iHealth BP5 in pregnant women in a clinical setting, as compared to the Omron M6 Comfort and aneroid manometer.

Materials And Methods: Women with a gestational age of thirty weeks or more who visited the outpatient clinic for routine visit were eligible for inclusion. For the clinical evaluation we used an adjusted form of the European Society of Hypertension International Protocol.

Leveraging Data Quality to Better Prepare for Process Mining: An Approach Illustrated Through Analysing Road Trauma Pre-Hospital Retrieval and Transport Processes in Queensland.

While noting the importance of data quality, existing process mining methodologies (i) do not provide details on how to assess the quality of event data (ii) do not consider how the identification of data quality issues can be exploited in the planning, data extraction and log building phases of any process mining analysis, (iii) do not highlight potential impacts of poor quality data on different types of process analyses. As our key contribution, we develop a process-centric, data quality-driven approach to preparing for a process mining analysis which can be applied to any existing process mining methodology. Our approach, adapted from elements of the well known CRISP-DM data mining methodology, includes conceptual data modeling, quality assessment at both attribute and event level, and trial discovery and conformance to develop understanding of system processes and data properties to inform data extraction.

Requirements for medical modeling languages.

Objective: The development of tailor-made domain-specific modeling languages is sometimes desirable in medical informatics. Naturally, the development of such languages should be guided. The purpose of this article is to introduce a set of requirements for such languages and show their application in analyzing and comparing existing modeling languages.

Progress with formalization in medical informatics?

The prevailing view of medical informatics as a primarily subservient discipline in health care is challenged. Developments in both general informatics and medical informatics are described to identify desirable properties of modeling languages and tools needed to solve key problems in the application field. For progress in medical informatics, it is considered essential to develop far more formal modeling languages, modeling techniques, and tools.

Formal description of disease courses.

Patient case analysis is an elementary and crucial process clinicians are confronted with daily. The importance and complexity is reflected in the need to discuss individual patient cases in clinicopathological conferences and the documentation of more than 70,000 patient cases in MEDLINE. This paper introduces DCGL, a technique to model disease course descriptions as present in medical literature.

Formal description of temporal knowledge in case reports.

Patient case analysis is an elementary and crucial process which clinicians are daily confronted with. The importance and complexity is reflected in the need to discuss cases in clinicopathological conferences and the documentation of more than 70,000 patient cases in MEDLINE. This paper introduces a generic patient case report language (PCRL) based on general medical temporal concepts to formalise temporal knowledge as present in case descriptions.

[CAMDEX-N: the Dutch version of the Cambridge Examination for Mental Disorders of the Elderly with automatic data processing].

In the study of dementia four distinct categories of instruments can be distinguished: instruments to examine cognitive dysfunction, to measure the severity of dementia, to assess disturbances in daily behaviour, and instruments to make a differential diagnosis of dementia. The Cambridge Examination for Mental Disorders of the Elderly (CAMDEX), published in 1988, incorporates these four categories in a single comprehensive interview schedule. Items related to the diagnosis of clouded/delirious state, depression and other psychiatric symptoms are also included.