Patient Data and Clinical Trial Management

Case Study

Patient Data and Clinical Trial Management for a new hospital

Manage large amounts of patient data requires efficient and ever improving applications.

Challenge

IdealMed is opening a new hospital, oriented both for patient care and clinical research. Committed with the best care delivery while investing on clinical research, Ideal Group managers focused on having all patient data aggregated, enabling data to be shared across different points and moments of care, and also allowing data to be used for research purposes.

On today´s healthcare organizations, data are scattered by different systems, making impossible to have an integrated view of the patient health status and of the delivered care. As a consequence, data are not being efficiently used for research purposes.

Working with affiliated physicians, IdealMed defined a strategic goal of narrowing the gaps between the clinical and the research practices, seating (?) the IT solutions on data aggregation and normalization.

The Partnership

IdealMed and Critical Software have partnered to deliver optimized IT solutions for this new hospital’s needs and created software products in response to data fragmentation, lack of integrated patients view and data reuse challenges.

The delivered solution is composed by:

a Clinical Data Repository (based on the Open EHR standard), aggregating and structuring data from multiple, different, IT systems, providing a full interoperable solution.
a Virtual Electronic Health Record (EHR) that allows Web-based access to the integrated patient data in a simple, organized and structured way, thus considering the different needs of different professionals.
a Clinical Trial Management System that manages all the clinical trials information, with increased efficiency on patients eligibility definition.

Benefit

The solution offers a strategic platform for IdealMed to integrate, share and use all the captured information. Aggregating the data of each patient into a single Repository, which has the ability to structure data according to each professional groups needs, supports the connectivity needs and the need for the patient integrated view, leads to care improvements and gives patients a feeling of a global structure, showing the advantages of selecting the different services offered by IdealMed.

This data aggregation and normalization allows IdealMed to lower costs related with patient eligibility definition, as the Clinical Trials Management System offers an instant list of the patients that meet the criteria defined on Clinical Trials protocols. Besides the management of Clinical Trials information of each patient, by easily indicating the status of data introduction for each patient and the study overall status (number of screened patients, number of completed visits, etc.), the system decreases data duplication as it receives the information already available in the Clinical Repository. The solution reduces the overall time of each protocol defined visit as there is no need for reinserting already existing data.

The narrow of the gaps between the clinical and the research practices is also achieved by providing services that might be used by the existing EHRs of IdealMed, giving to the clinicians the information about study participation and planned visits for each patient.