Intelligent data integration can help improve the quality of data-driven decision making, especially in scenarios where clinical decision-makers face multiple obstacles and challenges along the patient journey. And this is critically important in today’s digital healthcare environment where the quality of decision making depends on the quality and availability of the underlying data.
In medicine, decision-making has a clear goal: the benefit of the patient. Healthcare decisions are shaped by professional standards, specialist knowledge, patient wishes and treatment options.
Achieving this goal increasingly depends on the intelligent use of medical data. The ever-growing and multidimensional array of health data from electronic medical records, image databases and other multi-layered and often fragmented computer systems is becoming increasingly important for making up-to-date, patient-oriented decisions. patient and design process care accordingly.
Of course, not all medical decisions are necessarily difficult. In some straightforward healthcare situations, professional medical knowledge is enough to find a quick solution, so decisions are straightforward. Decision making becomes more complex as the number of diagnoses and treatment options increases, as does the amount of relevant patient data and the risk of complications.
The challenge in a complex case is to integrate a wide range of data from a variety of sources, such as clinical, radiological or laboratory information; genetic and pathological findings; and information on behavioral and social conditions so that the decision meets the highest possible quality standards and takes into account the patient’s personal situation and preferences.
Medical decisions are made along the continuum of care, from first clinical contact to follow-up. The questions that healthcare providers should answer are:
- What should be done on the diagnostic and therapeutic level?
- How can I efficiently use my resources in the process?
- Who do I share information with and coordinate with to achieve the best possible outcome for the patient?
Digital technologies can improve decision making in all of these dimensions and provide valuable decision support along the patient journey.
Complex decisions can fail for a variety of reasons. Patient data may not be accessible or may be too complete and unstructured. Information can be overlooked. Directives may not be sufficiently carried out. These challenges can create inefficient and costly workflows and compromise clinical outcomes.
However, they can be solved with a scalable and flexible digital platform that can collect patient data from sources in various IT systems and institutions and can provide caregivers with easy access to patient data at all points of care. contact of the patient’s journey. This smart data integration can ultimately provide a more complete picture of the patient and support holistic decision making in medicine.
Today’s IT architectures must be able to constantly evolve and grow as needs change.
Siemens Healthineers designed its digital health platform as a flexible tool that uses increasingly important data for healthcare. Its integrated marketplace provides single access to a growing number of proprietary applications as well as selected and pre-approved partner applications, enabling advanced and personalized scanning for a wide range of healthcare providers and healthcare situations. care.
Digitization is certainly not only a question of technology but also of design. Healthcare increasingly uses an abundance of complex healthcare data, and three changes will facilitate the digital shift:
- Healthcare providers need a digital infrastructure that is as simple as possible, versatile and adaptable: ideally a system-wide platform for data networking.
- Providers need a growing number of intelligent applications that can meaningfully apply networked data to specific operational and clinical questions.
- As digitization changes the nature of medical decision-making, these decisions will continue to be the responsibility of physicians and patients. Nonetheless, healthcare providers will increasingly need to rely on advanced digital decision support to incorporate the wealth of data into their deliberations and use it cost-effectively.
Learn more about how Siemens Healthineers supports smart data integration and decision support along the patient’s journey.
This content was produced by Siemens Healthineers. It was not written by the editorial team of the MIT Technology Review.