Digi-HTA: Health technology assessment framework for digital healthcare services

Haverinen, Jari; Keränen, Niina; Falkenbach, Petra; Maijala, Anna; Kolehmainen, Timo; Reponen, Jarmo

doi:10.23996/fjhw.82538

Cited by 58 publications

(98 citation statements)

References 30 publications

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“…However, AIHTs suffer from ambiguities with respect to their definition and purpose as there is no agreed-upon definition that may help build an adapted and efficient policy and regulatory infrastructure ( Pesapane et al, 2018 ). The drawback of AI exceptional features and of the high variability that exists among AI systems is that it poses definitional problems that affect AIHTs’ regulation and slow down their deployment in the healthcare sector ( Love-Koh et al, 2018 ; Haverinen et al, 2019 ). Compared with traditional health technologies (such as drugs, vaccines and medical devices), AIHTs are not static products and have the capability to learn and improve over time ( Parikh, Obermeyer, and Navathe 2019 ; Dzobo et al, 2020 ).…”

Section: Resultsmentioning

confidence: 99%

“…This technology is particularly sensitive for the healthcare sector as it raises new existential questions that regulators and public decision-makers must now face. One of such key existential challenge for HTA, according to Haverinen et al (2019) , is that AI is becoming a new decision-maker. This adds an actor with a decision-making role on the fate of patients and the health care system in addition to the role of HCPs and increases the complexity of performing comprehensive HTA.…”

Section: Resultsmentioning

confidence: 99%

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What Makes Artificial Intelligence Exceptional in Health Technology Assessment?

Bélisle-Pipon¹,

Couture²,

Roy³

et al. 2021

Front. Artif. Intell.

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The application of artificial intelligence (AI) may revolutionize the healthcare system, leading to enhance efficiency by automatizing routine tasks and decreasing health-related costs, broadening access to healthcare delivery, targeting more precisely patient needs, and assisting clinicians in their decision-making. For these benefits to materialize, governments and health authorities must regulate AI, and conduct appropriate health technology assessment (HTA). Many authors have highlighted that AI health technologies (AIHT) challenge traditional evaluation and regulatory processes. To inform and support HTA organizations and regulators in adapting their processes to AIHTs, we conducted a systematic review of the literature on the challenges posed by AIHTs in HTA and health regulation. Our research question was: What makes artificial intelligence exceptional in HTA? The current body of literature appears to portray AIHTs as being exceptional to HTA. This exceptionalism is expressed along 5 dimensions: 1) AIHT’s distinctive features; 2) their systemic impacts on health care and the health sector; 3) the increased expectations towards AI in health; 4) the new ethical, social and legal challenges that arise from deploying AI in the health sector; and 5) the new evaluative constraints that AI poses to HTA. Thus, AIHTs are perceived as exceptional because of their technological characteristics and potential impacts on society at large. As AI implementation by governments and health organizations carries risks of generating new, and amplifying existing, challenges, there are strong arguments for taking into consideration the exceptional aspects of AIHTs, especially as their impacts on the healthcare system will be far greater than that of drugs and medical devices. As AIHTs begin to be increasingly introduced into the health care sector, there is a window of opportunity for HTA agencies and scholars to consider AIHTs’ exceptionalism and to work towards only deploying clinically, economically, socially acceptable AIHTs in the health care system.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

What Makes Artificial Intelligence Exceptional in Health Technology Assessment?

Bélisle-Pipon¹,

Couture²,

Roy³

et al. 2021

Front. Artif. Intell.

View full text Add to dashboard Cite

show abstract

“…Assessment tools for AI and robotics need to be further developed [30] and the standardisation of data and semantics coding, integration, and usability have to improve. In addition, signal processing and thus, signal quality control at the bedside have to be developed [1] .…”

mentioning

confidence: 99%

Artificial Intelligence for clinical decision support in Critical Care, required and accelerated by COVID-19

Jansson

Rubio

Gavaldà

et al. 2020

Anaesthesia Critical Care & Pain Medicine

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“…The article 'Health technology assessmenta framework' by Joore et al focuses on the analysis of new health technologies, their effectiveness, safety and costs and its great interest in this difficult time of growing pressure on healthcare budgets. 1 Health Technology Assessment is described as a multidisciplinary process, encompassing different aspects such as medical, economic, organisational, social and ethical considerations. Health technology is indeed a complex concept that includes any product or activity used to promote health in different contexts and its assessment helps provide evidence to inform decision-making and helps develop guidance on the reimbursement and administration of new health technologies.…”

mentioning

confidence: 99%