Interesting reads ... December 2022

Topics: #DigitalHealth #Wearables #IoT #Healthcare?#Innovation?#HealthTech #ArtificialIntelligence #MachineLearning #AI?#ML #VBHC

Wearable?devices provide an alternative pathway to clinical diagnostics by exploiting various physical, chemical and biological sensors to mine physiological (biophysical and/or biochemical) information in real time (preferably, continuously) and in a non-invasive or minimally invasive manner.

The?IoT, in which sensors continuously transmit data on all types of processes, hold great promise for the?healthcare?industry. Medical sensors could for instance allow clinicians to remotely monitor their patients and to take immediate actions when required.

Patients’ experiences of their diagnosis, condition, and treatment (including the impact on their lives), and their experiences surrounding expectations of care, are becoming increasingly important in shaping?healthcare?systems that meet the evolving needs and priorities of different patient communities over time; this is an ongoing goal of all healthcare stakeholders.?

If?healthcare?systems are to evolve, they must shift both operations and leadership out of the hospital. We can let the market drive health system change in a fragmented, uncoordinated, and reactive way, or manage the change in a coordinated and deliberate way to optimize the impact on patient outcomes and organization performance.

The?healthcare?industry has experienced a proliferation of innovations aimed at enhancing life expectancy, quality of life, diagnostic and treatment options, as well as the efficiency and cost effectiveness of the healthcare system. Information technology has played a vital role in the?innovation?of healthcare systems. Despite the surge in innovation, theoretical research on the art and science of healthcare innovation has been limited.

The success of health technologies in practice is highly dependent on the implementation approach. However, a lot of?health tech?fail due to a lack of commitment and investment to introduce, maintain, and manage these technologies in a sustainable way.

Innovation?is too often envisioned in?healthcare?as occasional bouts of inspired creativity by so-called disruptive innovators, whereas innovation in other industries is understood to be a participatory customer-centred process.

The development and integration of person-centred self-driven?healthcare solutions will be key to drive up personal empowerment, quality of life and health and wellbeing outcomes, and deliver more sustainable health systems.?

As the use of?artificial intelligence?and?machine learning?continues to expand in?healthcare, much attention has been given to mitigating bias in algorithms to ensure they are employed fairly and transparently. Less attention has fallen to addressing potential bias among?AI/?ML’s human users or factors that influence user reliance.?

Value-based healthcare has been a strategic priority among?healthcare?stakeholders for years. Pioneering providers embrace?VBHC?principles (such as organising care delivery around medical conditions, monitoring health outcomes and costs per patient group along the clinical pathway, and using those metrics to drive organisational improvements).

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