RespDoc: a new clinical decision support system for childhood asthma management based on Fraction of Exhaled Nitric Oxide (FeNO) measurements

Increasing Complexity in Rule-Based Clinical Decision Support: The Symptom Assessment and Management Intervention

BACKGROUND

Management of uncontrolled symptoms is an important component of quality cancer care. Clinical guidelines are available for optimal symptom management, but are not often integrated into the front lines of care. The use of clinical decision support (CDS) at the point-of-care is an innovative way to incorporate guideline-based symptom management into routine cancer care.

OBJECTIVE

The objective of this study was to develop and evaluate a rule-based CDS system to enable management of multiple symptoms in lung cancer patients at the point-of-care.

METHODS

This study was conducted in three phases involving a formative evaluation, a system evaluation, and a contextual evaluation of clinical use. In Phase 1, we conducted iterative usability testing of user interface prototypes with patients and health care providers (HCPs) in two thoracic oncology clinics. In Phase 2, we programmed complex algorithms derived from clinical practice guidelines into a rules engine that used Web services to communicate with the end-user application. Unit testing of algorithms was conducted using a stack-traversal tree-spanning methodology to identify all possible permutations of pathways through each algorithm, to validate accuracy. In Phase 3, we evaluated clinical use of the system among patients and HCPs in the two clinics via observations, structured interviews, and questionnaires.

RESULTS

In Phase 1, 13 patients and 5 HCPs engaged in two rounds of formative testing, and suggested improvements leading to revisions until overall usability scores met a priori benchmarks. In Phase 2, symptom management algorithms contained between 29 and 1425 decision nodes, resulting in 19 to 3194 unique pathways per algorithm. Unit testing required 240 person-hours, and integration testing required 40 person-hours. In Phase 3, both patients and HCPs found the system usable and acceptable, and offered suggestions for improvements.

CONCLUSIONS

A rule-based CDS system for complex symptom management was systematically developed and tested. The complexity of the algorithms required extensive development and innovative testing. The Web service-based approach allowed remote access to CDS knowledge, and could enable scaling and sharing of this knowledge to accelerate availability, and reduce duplication of effort. Patients and HCPs found the system to be usable and useful.

A smart spirometry device for asthma diagnosis

In this paper an innovative prototype for smart asthma spirometry device to be used by doctors and asthma patients is presented. The novelty in this prototype relies in the fact that it is destined to subtend not only adults but offers an efficient and attractive manner to accommodate children patients as well thus, making it efficient for doctors, patients and parents to detect and monitor such intricate cases at stages as early as six years old. Moreover, the apparatus used enables us to integrate a vital parameter representing the Forced Expiratory Volume to the final diagnosis. Besides, the presented device will automatically diagnose those patients, assess their asthma condition, and schedule their medication process without excessive visits to medical centers whilst providing doctors with accurate and pertinent and comprehensive medical data in a chronological fashion. Zooming into under the hood of the device, a fully reliable hardware digital system lies along with a flowmeter detector and a Bluetooth emitter to interface with a user-friendly GUI-based application installed on smartphones which incorporates appealing animated graphics to encourage children to take the test. Furthermore, the device offers the capability of storing chronological data and a relevant resourceful display for accurate tracking of patients' medical record, the evolvement of their asthma condition, and the administered medication. Finally, the entire device is aligned with the medical requirements as per doctors' and telemedicine specialists' recommendations; the experiments carried out demonstrated the effectiveness and sustainable use of such device.