scholarly journals Perceived Significance of Improved Patient Data and Healthcare Services in the Formation of Inter-organizational Healthcare IT Governance

2014 ◽  
pp. 151-163
Author(s):  
Tomi Dahlberg
Keyword(s):  
It Governance ◽  
Healthcare Services ◽  
Patient Data ◽  
Healthcare It

From Passive to Active Electronic Healthcare Records

2003 ◽  
Vol 42 (05) ◽  
pp. 535-543 ◽  
Author(s):  
J. Bisbal ◽  
W. Grimson ◽  
D. Berry ◽  
L. Hederman ◽  
J. Grimson
Keyword(s):  
Information Systems ◽  
Significant Risk ◽  
Patient Data ◽  
Healthcare Organisation ◽  
Healthcare Outcomes ◽  
Record System ◽  
Electronic Healthcare Record ◽  
Healthcare It ◽  
Explicit Request ◽  
Large Investment

Summary Objectives: The provision of patient data to clinicians as and when it becomes available is a general objective of information systems in healthcare. It is known that the timely receipt of patient data can have a significant bearing on healthcare outcomes. One of the on-going tasks is to provide this data in the form of an Electronic Healthcare Record according to some agreed standard. The aim in this paper is to provide patient data in electronic form by pushing the information to the end users as soon it becomes available, in advance of any explicit request from the users. Methods: This paper describes how an existing record system, the Synapses Federated Healthcare Records Server, has been extended to incorporate active functionality to facilitate pushing the information to end-user applications. The user must specify the information of interest to him, so that the system pushes only information useful to the final user. The approach proposed here relies solely on the use of callbacks through the middleware layer being used, a mechanism available in all existing middleware implementations. Results: The Synapses Federated Healthcare Records Server which has resulted from this research is a more flexible and scaleable system, capable of fulfilling the needs of a wider range of healthcare organisation than when a strictly passive approach is used. Conclusions: It is shown that healthcare organisation can incorporate a healthcare record system with active functionality without any large investment or significant risk to their existing information systems.

scholarly journals Artificial intelligence: future impacts, challenges and recommendations on healthcare services

2020 ◽  
Vol 7 (4) ◽  
pp. 1596
Author(s):  
Deepkumar Patel ◽  
Shruti Ashok Kore
Keyword(s):  
Artificial Intelligence ◽  
Healthcare Professional ◽  
Healthcare Providers ◽  
Relevant Information ◽  
Healthcare Services ◽  
On Demand ◽  
Healthcare It ◽  
Healthcare Executives ◽  
Legal Challenges ◽  
Clinical Confidence

In this report, we review the market impact of artificial intelligence (AI) in healthcare and future predictions. AI is a rapidly advancing technology in healthcare. It provides rich and relevant information to patients and healthcare providers with on-demand medical and clinical confidence, AI can greatly advance healthcare professional and patient communications. Interest and investment in artificial intelligence continues to grow. At the same time there exists some practical challenges that will determine the course of this market trend. We will discuss the macroeconomic, ethical and legal challenges that pertain to this industry and make recommendations to the healthcare executives.

scholarly journals 813 Risk of Death Following Pulmonary Complications After Surgery with And Without SARS-Cov-2 Infection: A Pooled Analysis of Individual Patient Data from Pre-Pandemic and Pandemic International Cohort Studies

2021 ◽  
Vol 108 (Supplement_2) ◽  
Author(s):  
◽  
Keyword(s):  
Bladder Cancer ◽  
Cohort Studies ◽  
Individual Patient Data ◽  
Bladder Tumour ◽  
Healthcare Services ◽  
Pooled Analysis ◽  
Pulmonary Complications ◽  
Patient Data ◽  
Risk Of Death ◽  
Flexible Cystoscopy

Abstract Risk of death following pulmonary complications after surgery with and without SARS-CoV-2 infection: a pooled analysis of individual patient data from pre-pandemic and pandemic international cohort studies Introduction Diagnostic haematuria services have been reduced due to the COVID-19 pandemic, compromising patient care, and necessitating a more pragmatic pathway. Method The IDENTIFY study was an international, prospective, multicentre cohort study of over 11,000 patients referred to secondary care for investigation of haematuria. Using this data, we developed strategies using combinations of imaging and cytology as triage tests to maximise cancer detection within a pragmatic pathway. Results 8112 patients (74·4%) received an ultrasound or a CT urogram, with or without cytology. 5737 (70·7%) patients had visible haematuria (VH) and 2375 (29·3%) had non-visible haematuria (NVH). Diagnostic test performance was used to determine optimal age cut-offs for four proposed strategies. We recommended proceeding directly to transurethral resection of bladder tumour for patients of any age with positive triage tests for cancer. Patients with negative triage tests under 35-years-old with VH, or under 50-years-old with NVH can safely be discharged without undergoing flexible cystoscopy. The remaining patients may undergo flexible cystoscopy, with a greater priority for older patients to capture high risk bladder cancer. Conclusions We suggest diagnostic strategies in patients with haematuria, which focus on detection of bladder cancer, whilst reducing the burden to healthcare services in a resource-limited setting.

A Strategic Approach for Patient-Centric E-Healthcare Development

2019 ◽  
pp. 211-237
Author(s):  
Abdallah Qusef ◽  
Mohammad Daradkeh ◽  
Sharefa Murad
Keyword(s):  
Health Service ◽  
Service Providers ◽  
Cloud Model ◽  
Healthcare Providers ◽  
Quality Of Healthcare ◽  
Healthcare Services ◽  
Health Service Providers ◽  
Strategic Approach ◽  
Proposed Model ◽  
Healthcare It

Different types of industries, strategic thinking, planning, and management in healthcare have become cornerstones of providing high quality of healthcare services among the rapidly changing competitive environment and the emerging technologies, which is pushing health service providers to adopt the eHealth solutions to automate the treatment workflows during health service. This chapter introduces a new healthcare IT cloud model called HealthGate Cloud (HGC), which is specially designed as a central repository for patients' EHRs. The proposed model provides a technical and business framework for a centralized enterprise healthcare information system and data sharing between all participated healthcare providers in the country or region, which makes them all as if they are one big hospital having one single repository and database for all patients' medical records. It can be used by any HA in any country or region to provide this solution for HSPs through subscriptions business model.

IT Governance Maturity Patterns in Portuguese Healthcare

2017 ◽  
pp. 24-52
Author(s):  
Ruben Pereira ◽  
Miguel Mira da Silva ◽  
Luís Velez Lapão
Keyword(s):  
Design Science ◽  
It Governance ◽  
Science Research ◽  
Design Science Research ◽  
Healthcare Services ◽  
Exploratory Research ◽  
Financial Industry ◽  
Use Of Technology ◽  
The Right ◽  
Future Work

The pervasive use of technology in organizations to address the increased services complexity has created a critical dependency on Information Technology (IT) that calls to a specific focus on IT Governance (ITG). However, determining the right ITG mechanisms remains a complex endeavor. This paper uses Design Science Research and proposes an exploratory research by analyzing ITG case studies to elicit possible ITG mechanisms patterns. Six interviews were performed in Portuguese healthcare services organizations to assess the ITG practices. Our goal is to build some theories (ITG mechanisms patterns), which we believe will guide healthcare services organizations about the advisable ITG mechanisms given their specific context. We also intend to elicit conclusions regarding the most relevant ITG mechanisms for Portuguese healthcare services organizations. Additionally, a comparison is made with the financial industry to identify improvement opportunities. We finish our work with limitations, contribution and future work.

Access Control for Healthcare

2011 ◽  
pp. 1920-1929
Author(s):  
Yifeng Shen
Keyword(s):  
Information System ◽  
Information Systems ◽  
Health Information ◽  
Rapid Development ◽  
Healthcare Providers ◽  
Healthcare Services ◽  
Patient Data ◽  
Healthcare Information ◽  
Administrative Services ◽  
Healthcare Information System

Thanks to the rapid development in the field of information technology, healthcare providers rely more and more on information systems to deliver professional and administrative services. There are high demands for those information systems that provide timely and accurate patient medical information. High-quality healthcare services depend on the ability of the healthcare provider to readily access the information such as a patient’s test results and treatment notes. Failure to access this information may delay diagnosis, resulting in improper treatment and rising costs (Rind et al., 1997). Compared to paper-based patient data, computer-based patient data has more complex security requirements as more technologies are involved. One of the key drivers to systematically enhance the protection of private health information within healthcare providers is compliance with the healthcare information system security standard framework and related legislation. Security standards and legislation of the healthcare information system are critical for ensuring the confidentiality and integrity of private health information (Amatayakul, 1999). Privacy determines who should have access, what constitutes the patient’s rights to confidentiality, and what constitutes inappropriate access to health records. Security is embodied in standards and technology that ensure the confidentiality of healthcare information and enable health data integrity policies to be carried out.

Business/IT Alignment through IT Governance Patterns in Portuguese Healthcare

2014 ◽  
Vol 5 (1) ◽  
pp. 1-15 ◽  
Author(s):  
Ruben Pereira ◽  
Miguel Mira da Silva ◽  
Luís Velez Lapão
Keyword(s):  
Design Science ◽  
It Governance ◽  
Science Research ◽  
Healthcare Services ◽  
Exploratory Research ◽  
Financial Industry ◽  
It Alignment ◽  
Use Of Technology ◽  
The Right ◽  
Future Work

The pervasive use of technology in organizations to address the increased services complexity has created a critical dependency on information technology (IT) that calls to a specific focus on IT Governance (ITG). However, determining the right ITG mechanisms remains a complex endeavor. This paper uses Design Science Research and proposes an exploratory research by analyzing ITG case studies to elicit possible ITG mechanisms patterns. Six interviews were performed in Portuguese healthcare services organizations to assess the ITG practices. The goal of the authors is to build some theories (ITG mechanisms patterns), which will guide healthcare services organizations about the advisable ITG mechanisms given their specific context. The authors also intend to elicit conclusions regarding the most relevant ITG mechanisms for Portuguese healthcare services organizations. Additionally, a comparison is made with the financial industry to identify improvement opportunities. The authors finish the paper with limitations, contribution and future work.

scholarly journals IOT Framework for Heart Diseases Prediction Using Machine Learning

2021 ◽  
Vol 10 (3) ◽  
pp. 2036-2041
Keyword(s):  
Machine Learning ◽  
Internet Of Things ◽  
Heart Diseases ◽  
Healthcare Services ◽  
Patient Data ◽  
Classification Algorithms ◽  
Machine Learning Classification ◽  
Abnormal Form

latest evolution in the domain of internet of things and technology of sensors can be carrier for online healthcare services. The modern rectification in IOT sector enhance the employed rate in online healthcare control. So according to in this paper we proposed a framework for heart diseases prediction with the help of IOT and machine learning. Basically IOT sensors attached with patient body and that sensors transfers the patient data into dataset form. Then help with the machine learning classification algorithms predict the data for patient having anormal or abnormal form of data

Clinical Decision Support Systems

2005 ◽  
pp. 251-270 ◽  
Author(s):  
Spyretta Golemati ◽  
Stavroula Mougiakakou ◽  
John Stoitsis ◽  
Ioannis Valavanis ◽  
Konstantina S. Nikita
Keyword(s):  
Decision Support ◽  
Clinical Decision Support ◽  
Clinical Decision Support Systems ◽  
Clinical Decision ◽  
Quality Of Healthcare ◽  
Healthcare Services ◽  
Patient Data ◽  
Patient Treatment ◽  
Biomedical Knowledge ◽  
Time Required

This chapter introduces the basic principles of Clinical Decision Support (CDS) systems. CDS systems aim to codify and strategically manage biomedical knowledge to handle challenges in clinical practice using mathematical modelling tools, medical data processing techniques and Artificial Intelligence (AI) methods. CDS systems cover a wide range of applications, from diagnosis support to modelling the possibility of occurrence of various diseases or the efficiency of alternative therapeutic schemes, using not only individual patient data but also data on risk factors and efficiency of available therapeutic schemes stored in databases. Computer-Aided Diagnosis (CAD) systems can enhance the diagnostic capabilities of physicians and reduce the time required for accurate diagnosis. Modern Therapeutic Decision Support (TDS) systemsmake use of advanced modelling techniques and available patient data to optimise and individualise patient treatment. CDS systems aim to improve the overall health of the population by improving the quality of healthcare services, as well as by controlling the cost-effectiveness of medical examinations and treatment.

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