scholarly journals Improving the quality of healthcare data through information design

2017 ◽  
Vol 23 (1) ◽  
pp. 104-122 ◽  
Author(s):  
Guillermina Noël ◽  
Janet Joy ◽  
Carmen Dyck
Keyword(s):  
Patient Care ◽  
Healthcare Providers ◽  
Improve Patient Care ◽  
Quality Of Healthcare ◽  
Healthcare Data ◽  
Advantages And Disadvantages ◽  
Quality Of Patient Care ◽  
Improve Patient ◽  
Insight Into

Improving the quality of patient care, generally referred to as Quality Improvement (QI), is a constant mission of healthcare. Although QI initiatives take many forms, these typically involve collecting data to measure whether changes to procedures have been made as planned, and whether those changes have achieved the expected outcomes. In principle, such data are used to measure the success of a QI initiative and make further changes if needed. In practice, however, many QI data reports provide only limited insight into changes that could improve patient care. Redesigning standard approaches to QI data can help close the gap between current norms and the potential of QI data to improve patient care. This paper describes our study of QI data needs among healthcare providers and managers at Vancouver Coastal Health, a regional health system in Canada. We present an overview of challenges faced by healthcare providers around QI data collection and visualization, and illustrate the advantages and disadvantages of different visualizations. At present, user– centred and evidence–based design is practically unknown in healthcare QI, and thus offers an important new contribution.

Agile Patient Care with Distributed M-Health Applications

2009 ◽  
pp. 282-304
Author(s):  
Rafael Capilla ◽  
Alfonso del Río ◽  
Miguel Ángel Valero ◽  
José Antonio Sánchez
Keyword(s):  
Patient Care ◽  
Point Of Care ◽  
Improve Patient Care ◽  
Quality Of Healthcare ◽  
Handheld Devices ◽  
New Challenges ◽  
Online Access ◽  
Care Demands ◽  
Improve Patient

This chapter deals with the conceptualization, design and implementation of an m-health solution to support ubiquitous, integrated and continuous health care in hospitals. As the life expectancy of population grows in modern societies, effective healthcare becomes more and more important as a key social priority. Medical technology and high quality, accessible and efficient healthcare is currently demanded by citizens. Existing technologies from the computer field are widely used to improve patient care but new challenges demand the use of new communication, hardware and software technologies as a way to provide the necessary quality, security and response time at the point of care need. In this scenario, mobile and distributed developments can clearly help to increase the quality of healthcare systems as well as reduce the time needed to react to emerging care demands. In this chapter we will discuss important issues related to m-health systems and we deeply describe a mobile application for hospital healthcare. This application offers a modern solution which makes more agile doctor and nurse rounds on behalf of an instant online access to patient records through wireless networks. We also provide a highly usable application that makes simple patient monitoring with handheld devices.

Agile Patient Care with Distributed M-Health Applications

2011 ◽  
pp. 633-654
Author(s):  
Rafael Capilla ◽  
Alfonso del Río ◽  
Miguel Ángel Valero ◽  
José Antonio Sánchez
Keyword(s):  
Patient Care ◽  
Point Of Care ◽  
Improve Patient Care ◽  
Quality Of Healthcare ◽  
Handheld Devices ◽  
New Challenges ◽  
Online Access ◽  
Care Demands ◽  
Improve Patient

This chapter deals with the conceptualization, design and implementation of an m-health solution to support ubiquitous, integrated and continuous health care in hospitals. As the life expectancy of population grows in modern societies, effective healthcare becomes more and more important as a key social priority. Medical technology and high quality, accessible and efficient healthcare is currently demanded by citizens. Existing technologies from the computer field are widely used to improve patient care but new challenges demand the use of new communication, hardware and software technologies as a way to provide the necessary quality, security and response time at the point of care need. In this scenario, mobile and distributed developments can clearly help to increase the quality of healthcare systems as well as reduce the time needed to react to emerging care demands. In this chapter we will discuss important issues related to m-health systems and we deeply describe a mobile application for hospital healthcare. This application offers a modern solution which makes more agile doctor and nurse rounds on behalf of an instant online access to patient records through wireless networks. We also provide a highly usable application that makes simple patient monitoring with handheld devices.

scholarly journals Do medical students and residents impact the quality of patient care? An assessment from different stakeholders in an Italian academic hospital, 2019

PLoS ONE ◽  
2021 ◽  
Vol 16 (10) ◽  
pp. e0258633
Author(s):  
Giuseppe Perri ◽  
Matteo d’Angelo ◽  
Cecilia Smaniotto ◽  
Massimo Del Pin ◽  
Edoardo Ruscio ◽  
...  
Keyword(s):  
Medical Students ◽  
Patient Care ◽  
Descriptive Analysis ◽  
Direct Interaction ◽  
Quality Of Healthcare ◽  
Training Data ◽  
Patient Privacy ◽  
Academic Hospital ◽  
Quality Of Patient Care

Medical students and residents play an important role in patient care and ward activities, thus they should follow hospital procedures and ensure best practices and patient safety. A survey concerning staff on training was conducted to assess the perceived quality of healthcare from healthcare workers (HCWs), residents, medical students and patients in Udine Academic Hospital, Italy. Between December, 2018 and March, 2019, a 5-point Likert-scale questionnaire was administered in 21 units, covering four thematic areas: patients and medical staff satisfaction with the quality of care provided by residents and students, patient privacy, clinical risk management, patient perception of staff on training. Data analysis included descriptive analysis and ordered logistic regressions. A total of 596/1,863 questionnaires were collected from: HCWs (165/772), residents (110/355), students (121/389), and patients (200/347). Residents were rated high both by patients (median = 5, IQR = 4–5, OR 0.49, 95%CI 0.26–0.93) and HCWs (median = 4, IQR = 3–5, OR 0.14, 95%CI 0.08–0.26), with a lower score for medical students on the same topic, both by patients (median = 4, IQR = 3–5, OR 2.94, 95%CI 1.49–5.78) and HCWs (median = 3, IQR = 2–3, OR 0.41, 95%CI 0.25–0.67). Therefore, the role of staff on training in quality and safety of healthcare deserves integrated regular evaluation, since direct interaction with patients contributes to patients’ perception of healthcare.

Implementation of a new patient health questionnaire into standard practice in outpatient cancer clinics to improve patient care and quality of treatment.

2016 ◽  
Vol 34 (7_suppl) ◽  
pp. 214-214
Author(s):  
Kathryn Estey ◽  
Catherine Brown ◽  
Andrea Perez-Cosio ◽  
Gursharan Gill ◽  
Mindy Liang ◽  
...  
Keyword(s):  
Risk Factor ◽  
Patient Care ◽  
Treatment Options ◽  
Healthcare Providers ◽  
Improve Patient Care ◽  
Electronic Version ◽  
Clinic Visit ◽  
Additional Information ◽  
Risk Factor Information

214 Background: Patient socio-demographic, lifestyle, and risk factor information at the Princess Margaret Cancer Centre (PM) is routinely collected for clinical purposes. The only standardized patient information presently being gathered in the outpatient cancer clinics at the PM is symptom management data, which is linked directly into the electronic medical records. Collecting and recording additional data can improve the quality of patient care, help identify risk factors, and guide treatment options. Our aim was to determine the feasibility of collecting this additional information in a clinical setting. Methods: This pilot cohort study was implemented in the thoracic outpatient oncology clinic at the PM. It involved developing a questionnaire utilizing literature sources, expert review, and pilot testing. Adult cancer patients completed the questionnaire and a complementary acceptability survey during their first clinic visit. Results: 170 patients with thoracic tumours, primarily lung cancer, took part in the feasibility study. Of these, 51% were female, 67% were Caucasian, and the median age was 65 (range 32 to 88) years old. The acceptability survey demonstrated that: 76% of respondents found that the questionnaire did not make their clinic visit more difficult, 68% found that it asked the right questions, 79% thought the questionnaire contained pertinent information for their doctor and other healthcare providers to know, and 51% found that it was time consuming to complete. Conclusions: This study determined that it is feasible to implement a standardized questionnaire that gathers patient socio-demographic, lifestyle, and risk factor information in routine clinical cancer care. Since half of the study population found the questionnaire time consuming to complete it should be administered prior to patient visits, in an electronic format, and with greater explanation/education. The next phase is converting the questionnaire into an electronic version, which aligns with the preferences of study participants and will allow the information to be more easily accessible by clinicians/researchers.

Know the score: management of patients with a new diagnosis of acute pulmonary embolism

2020 ◽  
Vol 81 (11) ◽  
pp. 1-4
Author(s):  
D'Marieanne Koomson ◽  
Neil Smith ◽  
Simon McPherson ◽  
Vivek Srivastava
Keyword(s):  
Patient Outcome ◽  
Pulmonary Embolism ◽  
Quality Of Care ◽  
Patient Care ◽  
Acute Pulmonary Embolism ◽  
Improve Patient Care ◽  
Confidential Enquiry ◽  
New Diagnosis ◽  
Improve Patient

The National Confidential Enquiry into Patient Outcome and Death review into the quality of care provided to UK patients with a new diagnosis of acute pulmonary embolism highlights both clinical and organisational changes that should be made to improve patient care and outcomes.

scholarly journals A community integrated respiratory team can improve patient care, quality of life and reduce hospital stays

2016 ◽  
Vol 16 (Suppl 3) ◽  
pp. s33-s33
Author(s):  
Michael Apps ◽  
Jan Minter ◽  
James Whitfield ◽  
Sue Field ◽  
Ronni Pearce ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Patient Care ◽  
Improve Patient Care ◽  
Care Quality ◽  
Patient Care Quality ◽  
Hospital Stays ◽  
Improve Patient

scholarly journals Incorporating palliative care principles to improve patient care and quality of life in urologic oncology

2021 ◽  
Author(s):  
Lee A. Hugar ◽  
Elizabeth M. Wulff-Burchfield ◽  
Gary S. Winzelberg ◽  
Bruce L. Jacobs ◽  
Benjamin J. Davies
Keyword(s):  
Quality Of Life ◽  
Palliative Care ◽  
Patient Care ◽  
Improve Patient Care ◽  
Urologic Oncology ◽  
Improve Patient

S126 – Missed Diagnoses in Otolaryngology

2008 ◽  
Vol 139 (2_suppl) ◽  
pp. P119-P119
Author(s):  
Mary E. Gorman ◽  
Herbert Gould ◽  
Dana W. Giel ◽  
Jerome W Thompson
Keyword(s):  
Patient Care ◽  
Improve Patient Care ◽  
Neck Surgery ◽  
Insurance Company ◽  
Quality Of Patient Care ◽  
Malpractice Claims ◽  
Mutual Insurance ◽  
Missed Diagnosis ◽  
Missed Diagnoses

Objectives 1) Increase awareness of common missed diagnoses in the practice of otolaryngology. 2) Identify opportunities for improvement in the quality of patient care. Methods Working with the State Volunteer Mutual Insurance Company of Tennessee State, we evaluated malpractice claims in otolaryngology that were closed with indemnity payment between 1981 and 2005. We identified all such claims resulting from alleged missed or delayed diagnoses by otolaryngologists. Claims were divided into two main categories based on whether the missed diagnosis was primarily otolaryngologic or non-otolaryngologic. Results A total of 9 missed diagnosis claims were identified, representing 9% of claims overall. 6 of the 9 were otolaryngologic missed diagnoses, with the remaining 3 non-otolaryngologic diagnoses. The total indemnity payment for missed diagnosis claims was $4,072,100, representing 32% of all indemnity payments for the study period. Conclusions Missed diagnoses represent a danger to patients and a disproportionately high percent of total indemnity payments (32%). Increased awareness of missed diagnoses is necessary to improve patient care and maintain a level of excellence within the field of otolaryngology-head and neck surgery.

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