The development and evaluation of a computerized decision aid for the treatment of psychotic disorders

Abstract Background Routinely monitoring of symptoms and medical needs can improve the diagnostics and treatment of medical problems, including psychiatric. However, several studies show that few clinicians use Routine Outcome Monitoring (ROM) in their daily work. We describe the development and first evaluation of a ROM based computerized clinical decision aid, Treatment-E-Assist (TREAT) for the treatment of psychotic disorders. The goal is to generate personalized treatment recommendations, based on international guidelines combined with outcomes of mental and physical health acquired through ROM. We present a pilot study aimed to assess the feasibility of this computerized clinical decision aid in daily clinical practice by evaluating clinicians’ experiences with the system. Methods Clinical decision algorithms were developed based on international schizophrenia treatment guidelines and the input of multidisciplinary expert panels from multiple psychiatric institutes. Yearly obtained diagnostic (ROM) information of patients was presented to treating clinicians combined with treatment suggestions generated by the algorithms of TREAT. In this pilot study 6 clinicians and 16 patients of Lentis Psychiatric Institute used the application. Clinicians were interviewed and asked to fill out self-report questionnaires evaluating their opinions about ROM and the effectiveness of TREAT. Results Six clinicians and 16 patients with psychotic disorders participated in the pilot study. The clinicians were psychiatrists, physicians and nurse-practitioners which all worked at least 8 years in mental health care of which at least 3 years treating patients with psychotic illnesses. All Clinicians found TREAT easy to use and would like to continue using the application. They reported that TREAT offered support in using diagnostic ROM information when drafting the treatment plans, by creating more awareness of current treatment options. Conclusion This article presents a pilot study on the implementation of a computerized clinical decision aid linking routine outcome monitoring to clinical guidelines in order to generate personalized treatment advice. TREAT was found to be feasible for daily clinical practice and effective based on this first evaluation by clinicians. However, adjustments have to be made to the system and algorithms of the application. The ultimate goal is to provide appropriate evidence based care for patients with severe mental illnesses

An innovative implementation strategy to improve the use of Dutch guidelines on hypertensive disorders in pregnancy:A randomized controlled trial

Objective: To evaluate the effectiveness of an innovative strategy to improve implementation of evidence-based guidelines on the management of hypertension in pregnancy compared to a common strategy of professional audit and feedback. Design: Cluster randomized controlled trial (c-RCT). Setting: Sixteen Dutch hospitals. Population: All patients with a hypertensive disorder during pregnancy who were admitted to one of the participating hospitals between April 1st 2010 and May 1st 2011, were suitable for inclusion; the only exclusion criterion was the presence of lethal fetal abnormalities. Methods: Hospitals were randomly assigned to either an innovative implementation strategy including a computerized decision support system (DSS) and professional audit and feedback or a minimal implementation strategy of audit and feedback only. Main outcome measures: Primary outcome measure was a combined rate of major maternal complications. Secondary outcome measures included process-related measures on guideline adherence, and patient-related outcomes. A process evaluation was performed alongside. Results: No statistically significant difference was found in both the occurrence of major complications and most secondary outcome measures between the two groups. Process evaluation showed limited use of the computerized DSS, with a large variation between hospitals (0–49,5% of the eligible patients), but positive experiences of actual users. Conclusion: Using a computerized DSS for implementation of the clinical guidelines for the management of hypertension in pregnancy did not result in fewer major maternal and fetal complications. Limited use of the DSS in the innovative strategy group could be an explanation for the lack of effect

The propagation of technology management taxonomies for evaluating investments in information systems

To provide managers with a critical insight into the management of new technology, this paper uses a case study research strategy to examine the technology management experiences of a leading UK manufacturing organization during its adoption of a vendor-supplied Manufacturing Resource Planning information system.<br /

Computerization of workflows, guidelines and care pathways: a review of implementation challenges for process-oriented health information systems

There is a need to integrate the various theoretical frameworks and formalisms for modeling clinical guidelines, workflows, and pathways, in order to move beyond providing support for individual clinical decisions and toward the provision of process-oriented, patient-centered, health information systems (HIS). In this review, we analyze the challenges in developing process-oriented HIS that formally model guidelines, workflows, and care pathways. A qualitative meta-synthesis was performed on studies published in English between 1995 and 2010 that addressed the modeling process and reported the exposition of a new methodology, model, system implementation, or system architecture. Thematic analysis, principal component analysis (PCA) and data visualisation techniques were used to identify and cluster the underlying implementation ‘challenge’ themes. One hundred and eight relevant studies were selected for review. Twenty-five underlying ‘challenge’ themes were identified. These were clustered into 10 distinct groups, from which a conceptual model of the implementation process was developed. We found that the development of systems supporting individual clinical decisions is evolving toward the implementation of adaptable care pathways on the semantic web, incorporating formal, clinical, and organizational ontologies, and the use of workflow management systems. These architectures now need to be implemented and evaluated on a wider scale within clinical settings