Health care companies are increasingly focusing on demonstrating health care value, and the need for big data and deep insight are growing apace. To address this need, Convergence CT has developed a Global Provider Data Network which fosters collaborative work aimed at improving outcomes while also lowering costs. The Global Provider Data Network is carefully designed to allow for retrospective and prospective real world evidence insights that matter to patients, providers, and life science companies. Two application examples for Breast Cancer and Cardiovascular Medicine follow.
Case in Point: Breast Cancer
Integration of hospital and imaging data
Mammography exam results
Follow-up hospital encounters
Adherence to follow-up treatment standards
Tracking of performance related to professional standards of care
Needle biopsy to excisional biopsy
Lumpectomy to mastectomy
Simple mastecotomy with reconstruction vs. simple mastectomy
Adverse events / readmission
Adverse events / length of stay
Timeliness of care / mammogram to biopsy
Case in Point: Cardiovascular
Quality of Care - mortality, infection control, re-admissions, surgical complications, repeat surgeries, falls, bed sores, ER triage accuracy.
Operations - patient volume, patient pathways, length of stay, surgeries, interventional diagnostics and procedures, emergency room operations, clinic operations.
Costs - costs related to medicines, treatments, visits, and patient days, as well as periodic financial ratios and asset utilization.
Acute myocardial infarction and congestive heart failure rates
Congestive heart failure with preserved ejection fraction
Primary and co-morbidity diagnoses for patients with thrombolysis treatment
Discharge outcomes for heart and vascular disease patients
Diabetes Type II with myocardial infarction or angina