Towards Regional Population Health Management: A Prospective Analysis Using the Adjusted Clinical Groups Classification.

This research seeks to assess the potential of regionally integrated health management for specific sub-populations, including the incorporation of self-management initiatives. It will achieve this by conducting a thorough stratification analysis of hospital data, utilizing the Adjusted Clinical Groups (ACG) classification system. The approach involves a retrospective review of healthcare data spanning five years, which includes patient demographics, health outcomes, and healthcare utilization metrics.

Self, at Home, and Digital if Possible, Drivers to Population Health Management.

The Dutch healthcare system is known for its strong emphasis on primary care and a decentralized approach to healthcare delivery. This system will have to adapt in view of the ever-increasing demand and overburdened caregivers, because otherwise it will eventually be insufficient to offer patients adequate care at sustainable costs. The focus must shift from the volume and profitability of all parties involved to a collaborative model for achieving the best outcomes for patients.

The Tiel Shift Towards Person Centered Care.

The health system in the Netherlands is one of the best in the world and it is a challenge to keep this affordable and accessible for everyone. A shift from care to lifelong maintenance of health is highly needed, but the drivers of change are missing. Obviously, the involvement of citizens is essential, but to introduce the change the indispensable incentives must be identified.

Person-Centered Care Coordination Next Steps in a Long Journey.

Citizens of the Netherlands receive excellent care, when they need it, insurance based funded according to the solidarity principle. Maintaining this system is a huge challenge, as we live longer and the demand for care is growing. With an increasing percentage of multi-morbidity in all age groups the need for integrated network organized care is growing at equal pace.

Factors affecting the manual linking of clinical progress notes to problems in daily clinical practice: A retrospective quantitative analysis and cross sectional survey.

This cross sectional study examines how patient characteristics, doctor characteristics, and doctors' education and attitudes affect the extent to which doctors link progress notes to clinical problems. The independent effects of patient characteristics on the linking of notes was examined with a mixed model logistic regression. The effects of doctor characteristics and doctors' education and attitudes on the link ratio was analyzed with univariate analysis of variance.