Performance Measures Using Electronic Health Records: Five Case Studies

Presents the experiences of five provider organizations in developing, testing, and implementing four types of electronic quality-of-care indicators based on EHR data. Discusses challenges, and compares results with those from traditional indicators

Are care plans suitable for the management of multiple conditions?

Care plans have been part of the primary care landscape in Australia for almost two decades. With an increasing number of patients presenting with multiple chronic conditions, it is timely to consider whether care plans meet the needs of patients and clinicians.To review and benchmark existing care plan templates that include recommendations for comorbid conditions, against four key criteria: (i) patient preferences, (ii) setting priorities, (iii) identifying conflicts and synergies between conditions, and (iv) setting dates for reviewing the care plan.Document analysis of Australian care plan templates published from 2006 to 2014 that incorporated recommendations for managing comorbid conditions in primary care.Sixteen templates were reviewed. All of the care plan templates addressed patient preference, but this was not done comprehensively. Only three templates included setting priorities. None assisted in identifying conflicts and synergies between conditions. Fifteen templates included setting a date for reviewing the care plan.Care plans are a well-used tool in primary care practice, but their current format perpetuates a single-disease approach to care, which works contrary to their intended purpose. Restructuring care plans to incorporate shared decision-making and attention to patient preferences may assist in shifting the focus back to the patient and their care needs

Addendum to Informatics for Health 2017: Advancing both science and practice

This article presents presentation and poster abstracts that were mistakenly omitted from the original publication

Screening Tool within EMR Aimed at Identification of Pediatric Asthma as a Movement towards Accountable Patient Care

In this retrospective cohort study a screening tool aimed at identification of pediatric asthma based on patients’ symptoms and directions for referral for PFT testing was placed in a Pediatric Practice site EMR in template form as a movement towards Accountable Patient Care. Twenty-eight pre-intervention patients and 5 post-intervention patients met criteria based on symptoms for referral to perform PFT testing to evaluate asthma as a diagnosis. These records were evaluated to see if PFT testing was performed, and if performed how it correlated with an asthma diagnosis. The screening tool had 100% identification of asthma as a diagnosis for those referred to PFT testing; however there were only 2 patients referred for this testing in the post-intervention cohort. There were no patients sent for PFT testing in the pre-intervention cohort. Limitations to this study included no pre-intervention PFT testing for comparison and the small number of patients in the post-intervention cohort. Implications for practice are that structured guidelines within practice site EMRs have been shown according to evidence based literature to improve outcomes of quality which will be very important to the upcoming Accountable Care Models and hold promise to assist with meeting quality guidelines. More work should be performed to evaluate the effects of structured templates for diagnosing and treatment of chronic conditions such as asthma to assist with meeting guidelines and improving patient outcomes in the Accountable Patient Care Models

HealthPartners: Consumer-Focused Mission and Collaborative Approach Support Ambitious Performance Improvement Agenda

Presents a case study of a nonprofit healthcare organization that exhibits the six attributes of an ideal healthcare delivery system as defined by the Fund, including information continuity, care coordination and transitions, and system accountability

Medical legal partnership and health informatics impacting child health: Interprofessional innovations

Dramatic differences in health are closely related to degrees of social and economic disadvantage. Poverty-induced hardships such as food insecurity, utility shut-offs, and substandard housing, all have the potential to negatively impact the health of families. In an effort to better address social determinants of health in pediatric primary health care settings using the Medical Legal Partnership (MLP) model of health care delivery, an interprofessional team of investigators came together to design an innovative process for using computerized clinical decision support to identify health-harming legal and social needs, improve the delivery of appropriate physician counseling, and streamline access to legal and social service professionals when non-medical remedies are required. This article describes the interprofessional nature of the MLP model itself, illustrates the work that was done to craft this innovative health informatics approach to implementing MLP, and demonstrates how pediatricians, social workers and attorneys may work together to improve child health outcomes

A service oriented architecture to implement clinical guidelines for evidence-based medical practice

Health information technology (HIT) has been identified as the fundamental driver to streamline the healthcare delivery processes to improve care quality and reduce operational costs. Of the many facets of HIT is Clinical Decision Support (CDS) which provides the physician with patient-specific inferences, intelligently filtered and organized, at appropriate times. This research has been conducted to develop an agile solution to Clinical Decision Support at the point of care in a healthcare setting as a potential solution to the challenges of interoperability and the complexity of possible solutions. The capabilities of Business Process Management (BPM) and Workflow Management systems are leveraged to support a Service Oriented Architecture development approach for ensuring evidence based medical practice. The aim of this study is to present an architecture solution that is based on SOA principles and embeds clinical guidelines within a healthcare setting. Since the solution is designed to implement real life healthcare scenarios, it essentially supports evidence-based clinical guidelines that are liable to change over a period of time. The thesis is divided into four parts. The first part consists of an Introduction to the study and a background to existing approaches for development and integration of Clinical Decision Support Systems. The second part focuses on the development of a Clinical Decision Support Framework based on Service Oriented Architecture. The CDS Framework is composed of standards based open source technologies including JBoss SwitchYard (enterprise service bus), rule-based CDS enabled by JBoss Drools, process modelling using Business Process Modelling and Notation. To ensure interoperability among various components, healthcare standards by HL7 and OMG are implemented. The third part provides implementation of this CDS Framework in healthcare scenarios. Two scenarios are concerned with the medical practice for diagnosis and early intervention (Chronic Obstructive Pulmonary Disease and Lung Cancer), one case study for Genetic data enablement of CDS systems (New born screening for Cystic Fibrosis) and the last case study is about using BPM techniques for managing healthcare organizational perspectives including human interaction with automated clinical workflows. The last part concludes the research with contributions in design and architecture of CDS systems. This thesis has primarily adopted the Design Science Research Methodology for Information Systems. Additionally, Business Process Management Life Cycle, Agile Business Rules Development methodology and Pattern-Based Cycle for E-Workflow Design for individual case studies are used. Using evidence-based clinical guidelines published by UK’s National Institute of Health and Care Excellence, the integration of latest research in clinical practice has been employed in the automated workflows. The case studies implemented using the CDS Framework are evaluated against implementation requirements, conformance to SOA principles and response time using load testing strategy. For a healthcare organization to achieve its strategic goals in administrative and clinical practice, this research has provided a standards based integration solution in the field of clinical decision support. A SOA based CDS can serve as a potential solution to complexities in IT interventions as the core data and business logic functions are loosely coupled from the presentation. Additionally, the results of this this research can serve as an exemplar for other industrial domains requiring rapid response to evolving business processes

A collaborative platform for management of chronic diseases via guideline-driven individualized care plans

Older age is associated with an increased accumulation of multiple chronic conditions. The clinical management of patients suffering from multiple chronic conditions is very complex, disconnected and time-consuming with the traditional care settings. Integrated care is a means to address the growing demand for improved patient experience and health outcomes of multimorbid and long-term care patients. Care planning is a prevalent approach of integrated care, where the aim is to deliver more personalized and targeted care creating shared care plans by clearly articulating the role of each provider and patient in the care process. In this paper, we present a method and corresponding implementation of a semi-automatic care plan management tool, integrated with clinical decision support services which can seamlessly access and assess the electronic health records (EHRs) of the patient in comparison with evidence based clinical guidelines to suggest personalized recommendations for goals and interventions to be added to the individualized care plans. We also report the results of usability studies carried out in four pilot sites by patients and clinicians