5 research outputs found
Preference-Sensitive Apomediative Decision Support Is Key to Facilitating Self-Produced Health.
In the health capital model, the main function of health services is not to produce health, but to support the person in their self-production investments. In the health context there are three types of decision support tools, depending on the role of the provider (e.g. clinician) and person. Non-mediative tools are designed to help the clinician decide what is best for the patient. Intermediative Patient Decision Aids are designed to help the clinician and patient decide together, in an encounter, what is best for the patient. Apomediative Personalised Decision Support Tools are designed to help the person decide what is best for themselves, including whether to seek a professional consultation and/or to prepare for, and engage in, an intermediative consultation. Only preference-sensitive apomediative support tools ensure that the key requirements of self-produced health are met, along with legally informed and preference-based consent to any subsequent provider action. The desirable form of apomediative support is a publicly accessible, direct-to-citizen, provider-independent, multi-criteria analysis-based decision support of the sort available in many other areas of self-production. Which (UK), Tænk (Denmark), Choice (Australia) and numerous other comparison magazines and websites provide independent multi-criterial support for decisions on, for example, which food and transport to buy to self-produce nutrition and movement. A personalised decision support tool for the statin decision is provided as illustration: Should I go to my general practitioner and ask for a statin prescription or go to discuss taking statins, in the light of the preliminary opinion of the tool
Π’Π°ΡΠ³Π΅ΡΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠ΅ ΠΏΡΠ΅Π΄ΠΎΡΡΠ°Π²Π»Π΅Π½ΠΈΠ΅ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΈ Π½Π° ΡΠΈΡΡΠΎΠ²ΡΡ Π²ΡΠ²Π΅ΡΠΊΠ°Ρ : Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΡΠ΅ ΡΠ΅ΡΠ΅Π½ΠΈΡ
ΠΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½ΠΈΠ΅ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΈ ΡΠΈΡΠΎΠΊΠΎΠΉ Π°ΡΠ΄ΠΈΡΠΎΡΠΈΠΈ Π½Π° ΡΠΈΡΡΠΎΠ²ΡΡ
Π²ΡΠ²Π΅ΡΠΊΠ°Ρ
Β (digital signage) ΡΡΠ°Π»ΠΎ Π²Π΅ΡΡΠΌΠ° ΠΏΠΎΠΏΡΠ»ΡΡΠ½ΡΠΌ ΡΠΏΠΎΡΠΎΠ±ΠΎΠΌ ΠΊΠ°ΠΊ Π² ΠΎΠ±ΡΠ΅Π΄ΠΎΡΡΡΠΏΠ½ΡΡ
ΠΌΠ΅ΡΡΠ°Ρ
(ΡΠΎΡΠ³ΠΎΠ²ΡΠ΅ ΡΠ΅Π½ΡΡΡ, Π²ΡΡΡΠ°Π²ΠΊΠΈ), ΡΠ°ΠΊ ΠΈ Π² ΠΌΠ΅ΡΡΠ°Ρ
, Π΄ΠΎΡΡΡΠΏΠ½ΡΡ
ΠΎΠ³ΡΠ°Π½ΠΈΡΠ΅Π½Π½ΡΠΌ Π³ΡΡΠΏΠΏΠ°ΠΌ Π»ΡΠ΄Π΅ΠΉ (ΠΊΠΎΠ½Π΄ΠΎΠΌΠΈΠ½ΠΈΡΠΌΡ, ΠΎΡΠΈΡΡ ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΉ). ΠΠ°Π½Π½ΡΠΉ ΡΠΏΠΎΡΠΎΠ± ΠΌΠΎΠΆΠ΅Ρ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°ΡΡΡΡ ΠΊΠ°ΠΊ Π΄Π»Ρ ΡΠ΅ΠΊΠ»Π°ΠΌΡ, ΡΠ°ΠΊ ΠΈ Π΄Π»Ρ ΠΏΡΠ΅Π΄ΠΎΡΡΠ°Π²Π»Π΅Π½ΠΈΡ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΈ Π½Π΅ΠΊΠΎΠΌΠΌΠ΅ΡΡΠ΅ΡΠΊΠΎΠ³ΠΎ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠ°. Π₯ΠΎΡΡ ΡΠ°ΡΠ³Π΅ΡΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠ΅ ΠΏΡΠ΅Π΄ΠΎΡΡΠ°Π²Π»Π΅Π½ΠΈΠ΅ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΈ ΠΎΠ΄Π½ΠΎΠΌΡ ΡΠ΅Π»ΠΎΠ²Π΅ΠΊΡΒ (Π½Π°ΠΏΡΠΈΠΌΠ΅Ρ, ΡΠ΅ΠΊΠ»Π°ΠΌΠ½ΡΠ΅ Π±Π°Π½Π½Π΅ΡΡ Π½Π° Π²Π΅Π±-ΡΡΡΠ°Π½ΠΈΡΠ°Ρ
) ΡΠΆΠ΅ Π²Π΅ΡΡΠΌΠ° Ρ
ΠΎΡΠΎΡΠΎ ΡΠ°Π·Π²ΠΈΡΠΎ, ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΠ΅ ΡΠΈΡΡΠΎΠ²ΡΡ
Π²ΡΠ²Π΅ΡΠΎΠΊ, ΠΏΡΠ΅Π΄ΠΎΡΡΠ°Π²Π»ΡΡΡΠΈΡ
ΡΠ°ΡΠ³Π΅ΡΠΈΡΠΎΠ²Π°Π½Π½ΡΡ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΡ, Π½Π΅ ΡΠ΄Π΅Π»ΡΠ΅ΡΡΡ Π΄ΠΎΡΡΠ°ΡΠΎΡΠ½ΠΎΠ³ΠΎ Π²Π½ΠΈΠΌΠ°Π½ΠΈΡ. Π’Π°ΠΊΠΈΠΌ ΠΎΠ±ΡΠ°Π·ΠΎΠΌ, Π² ΡΡΠ°ΡΡΠ΅ ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½Ρ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΡ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ Π² ΠΎΠ±Π»Π°ΡΡΠΈ ΡΠ°ΡΠ³Π΅ΡΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠ³ΠΎ ΠΏΡΠ΅Π΄ΠΎΡΡΠ°Π²Π»Π΅Π½ΠΈΡ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΈ ΠΏΠΎΡΡΠ΅Π΄ΡΡΠ²ΠΎΠΌ ΡΠΈΡΡΠΎΠ²ΡΡ
Π²ΡΠ²Π΅ΡΠΎΠΊ. Π ΡΠ°Π±ΠΎΡΠ΅ ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΠ΅ΡΡΡ ΠΌΠ΅ΡΠΎΠ΄ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ ΠΏΠΎΠ΄Ρ
ΠΎΠ΄Π° DSR (design science research). ΠΠ°Π½Π½ΡΠΉ ΠΏΠΎΠ΄Ρ
ΠΎΠ΄ ΠΌΠΎΡΠΈΠ²ΠΈΡΡΠ΅ΡΡΡ ΠΈ ΠΈΠ½ΠΈΡΠΈΠΈΡΡΠ΅ΡΡΡ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½Π½ΠΎΠΉ Π±ΠΈΠ·Π½Π΅Ρ-ΠΏΡΠΎΠ±Π»Π΅ΠΌΠΎΠΉ ΠΈ ΠΎΡΠΈΠ΅Π½ΡΠΈΡΠΎΠ²Π°Π½ Π½Π° Π΅Π΅ ΡΠ΅ΡΠ΅Π½ΠΈΠ΅ ΠΏΡΡΠ΅ΠΌ ΡΠΎΠ·Π΄Π°Π½ΠΈΡ ΠΈ ΠΏΡΠΎΠ²Π΅ΡΠΊΠΈ Π°ΡΡΠ΅ΡΠ°ΠΊΡΠΎΠ² ΠΈΠ· ΠΎΠ±Π»Π°ΡΡΠΈ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΎΠ½Π½ΡΡ
ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΠΉ, ΡΠ°ΠΊΠΈΡ
ΠΊΠ°ΠΊ ΠΏΡΠΎΡΠΎΡΠΈΠΏΡ, ΠΌΠΎΠ΄Π΅Π»ΠΈ, ΠΌΠ΅ΡΠΎΠ΄Ρ ΠΈΠ»ΠΈ Π°ΡΡ
ΠΈΡΠ΅ΠΊΡΡΡΡ. ΠΠ° Π΅Π³ΠΎ ΠΎΡΠ½ΠΎΠ²Π΅ Π±ΡΠ»ΠΎ Π²ΡΠΏΠΎΠ»Π½Π΅Π½ΠΎ ΡΡΠΎΡΠ½Π΅Π½ΠΈΠ΅ ΠΏΡΠΎΠ±Π»Π΅ΠΌΡ, Π² ΡΠ°ΡΡΠ½ΠΎΡΡΠΈ, Ρ ΡΠΎΡΠΊΠΈ Π·ΡΠ΅Π½ΠΈΡ ΠΎΡΡΠ°ΡΠ»ΠΈ ΠΆΠΈΠ»ΠΈΡΠ½ΠΎ-ΠΊΠΎΠΌΠΌΡΠ½Π°Π»ΡΠ½ΠΎΠ³ΠΎ Ρ
ΠΎΠ·ΡΠΉΡΡΠ²Π°, ΡΡΠΎ ΠΏΡΠΈΠ²Π΅Π»ΠΎ ΠΊ ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΠ΅ Π½ΠΎΠ²ΠΎΠ³ΠΎ ΡΠ΅ΡΠ΅Π½ΠΈΡ Ρ ΡΠ΅Π»ΡΡ ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΠΈ Π±ΠΈΠ·Π½Π΅Ρ-ΠΏΡΠΎΡΠ΅ΡΡΠΎΠ² ΡΡΠ°ΡΡΠ½ΠΈΠΊΠΎΠ² Π΄Π°Π½Π½ΠΎΠΉ ΠΎΡΡΠ°ΡΠ»ΠΈ. ΠΡΠΎΠ²Π΅ΡΠΊΠ° ΠΏΡΠΎΠ΅ΠΊΡΠ° ΠΏΠΎΠΊΠ°Π·Π°Π»Π°, ΡΡΠΎ Π½Π΅ΠΎΠ±Ρ
ΠΎΠ΄ΠΈΠΌΡ Π΄ΠΎΠΏΠΎΠ»Π½ΠΈΡΠ΅Π»ΡΠ½ΡΠ΅ ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΡΠ΅ΡΠ΅Π½ΠΈΡ, ΡΠ°ΠΊΠΈΠ΅ ΠΊΠ°ΠΊ ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΠ° Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΠΈ ΠΈΠ΄Π΅Π½ΡΠΈΡΠΈΠΊΠ°ΡΠΈΠΈ ΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°ΡΠ΅Π»Ρ, ΠΏΠΎΠΈΡΠΊ ΠΎΠ±ΡΠΈΡ
ΠΏΡΠ΅Π΄ΠΏΠΎΡΡΠ΅Π½ΠΈΠΉ Π΄Π»Ρ Π³ΡΡΠΏΠΏΡ ΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°ΡΠ΅Π»Π΅ΠΉ, ΠΎΠ±Π΅ΡΠΏΠ΅ΡΠ΅Π½ΠΈΠ΅ ΠΊΠΎΠ½ΡΠΈΠ΄Π΅Π½ΡΠΈΠ°Π»ΡΠ½ΠΎΡΡΠΈ ΠΈΠ½ΡΠ΅ΡΠ΅ΡΠΎΠ² ΠΈ ΠΏΡΠ΅Π΄ΠΏΠΎΡΡΠ΅Π½ΠΈΠΉ ΠΎΡΠ΄Π΅Π»ΡΠ½ΡΡ
ΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°ΡΠ΅Π»Π΅ΠΉ. ΠΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½Ρ ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΠΈ ΠΈΠ΄Π΅Π½ΡΠΈΡΠΈΠΊΠ°ΡΠΈΠΈ ΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°ΡΠ΅Π»Π΅ΠΉ ΠΈ Π²ΡΡΠ²Π»Π΅Π½ΠΈΡ ΠΈΡ
ΠΎΠ±ΡΠΈΡ
ΠΈΠ½ΡΠ΅ΡΠ΅ΡΠΎΠ² ΠΈ ΠΏΡΠ΅Π΄ΠΏΠΎΡΡΠ΅Π½ΠΈΠΉ
Π’Π°ΡΠ³Π΅ΡΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠ΅ ΠΏΡΠ΅Π΄ΠΎΡΡΠ°Π²Π»Π΅Π½ΠΈΠ΅ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΈ Π½Π° ΡΠΈΡΡΠΎΠ²ΡΡ Π²ΡΠ²Π΅ΡΠΊΠ°Ρ : Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΡΠ΅ ΡΠ΅ΡΠ΅Π½ΠΈΡ
Presenting information to a wide audience through digital signage has now become a very popular way in both public areas (shopping centers, exhibitions) and areas accessible by limited groups of people (condominiums, office buildings). This method of information delivery can be used both for advertising and for non-commercial information. Although targeted information delivery to one person (for example, banner ads on web pages) is already very well developed, the design of digital signage systems that provide targeted information has not been paid enough attention. The paper proposes an approach to providing information through targeted digital signage. The research method used in this work is based on the design science research (DSR) approach. This is an approach to problem solving, motivated and initiated by a specific business problem and trying to solve this problem by creating and verifying information technology artifacts, such as prototypes, models, methods, or architectures. Based on this method, the problem was refined, in particular, from the point of view of the housing industry, which led to the development of a new solution to support business processes of stakeholder groups in the industry. Verification of the draft decision showed that additional technological solutions are needed, such as user identification support, search for common preferences for a group of users, ensuring confidentiality of interests and preferences of individual users. The paper also proposes technologies for user identification and finding common interests and preferences.ΠΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½ΠΈΠ΅ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΈ ΡΠΈΡΠΎΠΊΠΎΠΉ Π°ΡΠ΄ΠΈΡΠΎΡΠΈΠΈ Π½Π° ΡΠΈΡΡΠΎΠ²ΡΡ
Π²ΡΠ²Π΅ΡΠΊΠ°Ρ
(digital signage) ΡΡΠ°Π»ΠΎ Π²Π΅ΡΡΠΌΠ° ΠΏΠΎΠΏΡΠ»ΡΡΠ½ΡΠΌ ΡΠΏΠΎΡΠΎΠ±ΠΎΠΌ ΠΊΠ°ΠΊ Π² ΠΎΠ±ΡΠ΅Π΄ΠΎΡΡΡΠΏΠ½ΡΡ
ΠΌΠ΅ΡΡΠ°Ρ
(ΡΠΎΡΠ³ΠΎΠ²ΡΠ΅ ΡΠ΅Π½ΡΡΡ, Π²ΡΡΡΠ°Π²ΠΊΠΈ), ΡΠ°ΠΊ ΠΈ Π² ΠΌΠ΅ΡΡΠ°Ρ
, Π΄ΠΎΡΡΡΠΏΠ½ΡΡ
ΠΎΠ³ΡΠ°Π½ΠΈΡΠ΅Π½Π½ΡΠΌ Π³ΡΡΠΏΠΏΠ°ΠΌ Π»ΡΠ΄Π΅ΠΉ (ΠΊΠΎΠ½Π΄ΠΎΠΌΠΈΠ½ΠΈΡΠΌΡ, ΠΎΡΠΈΡΡ ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΉ). ΠΠ°Π½Π½ΡΠΉ ΡΠΏΠΎΡΠΎΠ± ΠΌΠΎΠΆΠ΅Ρ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°ΡΡΡΡ ΠΊΠ°ΠΊ Π΄Π»Ρ ΡΠ΅ΠΊΠ»Π°ΠΌΡ, ΡΠ°ΠΊ ΠΈ Π΄Π»Ρ ΠΏΡΠ΅Π΄ΠΎΡΡΠ°Π²Π»Π΅Π½ΠΈΡ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΈ Π½Π΅ΠΊΠΎΠΌΠΌΠ΅ΡΡΠ΅ΡΠΊΠΎΠ³ΠΎ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠ°. Π₯ΠΎΡΡ ΡΠ°ΡΠ³Π΅ΡΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠ΅ ΠΏΡΠ΅Π΄ΠΎΡΡΠ°Π²Π»Π΅Π½ΠΈΠ΅ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΈ ΠΎΠ΄Π½ΠΎΠΌΡ ΡΠ΅Π»ΠΎΠ²Π΅ΠΊΡ (Π½Π°ΠΏΡΠΈΠΌΠ΅Ρ, ΡΠ΅ΠΊΠ»Π°ΠΌΠ½ΡΠ΅ Π±Π°Π½Π½Π΅ΡΡ Π½Π° Π²Π΅Π±-ΡΡΡΠ°Π½ΠΈΡΠ°Ρ
) ΡΠΆΠ΅ Π²Π΅ΡΡΠΌΠ° Ρ
ΠΎΡΠΎΡΠΎ ΡΠ°Π·Π²ΠΈΡΠΎ, ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΠ΅ ΡΠΈΡΡΠΎΠ²ΡΡ
Π²ΡΠ²Π΅ΡΠΎΠΊ, ΠΏΡΠ΅Π΄ΠΎΡΡΠ°Π²Π»ΡΡΡΠΈΡ
ΡΠ°ΡΠ³Π΅ΡΠΈΡΠΎΠ²Π°Π½Π½ΡΡ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΡ, Π½Π΅ ΡΠ΄Π΅Π»ΡΠ΅ΡΡΡ Π΄ΠΎΡΡΠ°ΡΠΎΡΠ½ΠΎΠ³ΠΎ Π²Π½ΠΈΠΌΠ°Π½ΠΈΡ. Π’Π°ΠΊΠΈΠΌ ΠΎΠ±ΡΠ°Π·ΠΎΠΌ, Π² ΡΡΠ°ΡΡΠ΅ ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½Ρ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΡ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ Π² ΠΎΠ±Π»Π°ΡΡΠΈ ΡΠ°ΡΠ³Π΅ΡΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠ³ΠΎ ΠΏΡΠ΅Π΄ΠΎΡΡΠ°Π²Π»Π΅Π½ΠΈΡ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΈ ΠΏΠΎΡΡΠ΅Π΄ΡΡΠ²ΠΎΠΌ ΡΠΈΡΡΠΎΠ²ΡΡ
Π²ΡΠ²Π΅ΡΠΎΠΊ. Π ΡΠ°Π±ΠΎΡΠ΅ ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΠ΅ΡΡΡ ΠΌΠ΅ΡΠΎΠ΄ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ ΠΏΠΎΠ΄Ρ
ΠΎΠ΄Π° DSR (design science research). ΠΠ°Π½Π½ΡΠΉ ΠΏΠΎΠ΄Ρ
ΠΎΠ΄ ΠΌΠΎΡΠΈΠ²ΠΈΡΡΠ΅ΡΡΡ ΠΈ ΠΈΠ½ΠΈΡΠΈΠΈΡΡΠ΅ΡΡΡ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½Π½ΠΎΠΉ Π±ΠΈΠ·Π½Π΅Ρ-ΠΏΡΠΎΠ±Π»Π΅ΠΌΠΎΠΉ ΠΈ ΠΎΡΠΈΠ΅Π½ΡΠΈΡΠΎΠ²Π°Π½ Π½Π° Π΅Π΅ ΡΠ΅ΡΠ΅Π½ΠΈΠ΅ ΠΏΡΡΠ΅ΠΌ ΡΠΎΠ·Π΄Π°Π½ΠΈΡ ΠΈ ΠΏΡΠΎΠ²Π΅ΡΠΊΠΈ Π°ΡΡΠ΅ΡΠ°ΠΊΡΠΎΠ² ΠΈΠ· ΠΎΠ±Π»Π°ΡΡΠΈ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΎΠ½Π½ΡΡ
ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΠΉ, ΡΠ°ΠΊΠΈΡ
ΠΊΠ°ΠΊ ΠΏΡΠΎΡΠΎΡΠΈΠΏΡ, ΠΌΠΎΠ΄Π΅Π»ΠΈ, ΠΌΠ΅ΡΠΎΠ΄Ρ ΠΈΠ»ΠΈ Π°ΡΡ
ΠΈΡΠ΅ΠΊΡΡΡΡ. ΠΠ° Π΅Π³ΠΎ ΠΎΡΠ½ΠΎΠ²Π΅ Π±ΡΠ»ΠΎ Π²ΡΠΏΠΎΠ»Π½Π΅Π½ΠΎ ΡΡΠΎΡΠ½Π΅Π½ΠΈΠ΅ ΠΏΡΠΎΠ±Π»Π΅ΠΌΡ, Π² ΡΠ°ΡΡΠ½ΠΎΡΡΠΈ, Ρ ΡΠΎΡΠΊΠΈ Π·ΡΠ΅Π½ΠΈΡ ΠΎΡΡΠ°ΡΠ»ΠΈ ΠΆΠΈΠ»ΠΈΡΠ½ΠΎ-ΠΊΠΎΠΌΠΌΡΠ½Π°Π»ΡΠ½ΠΎΠ³ΠΎ Ρ
ΠΎΠ·ΡΠΉΡΡΠ²Π°, ΡΡΠΎ ΠΏΡΠΈΠ²Π΅Π»ΠΎ ΠΊ ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΠ΅ Π½ΠΎΠ²ΠΎΠ³ΠΎ ΡΠ΅ΡΠ΅Π½ΠΈΡ Ρ ΡΠ΅Π»ΡΡ ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΠΈ Π±ΠΈΠ·Π½Π΅Ρ-ΠΏΡΠΎΡΠ΅ΡΡΠΎΠ² ΡΡΠ°ΡΡΠ½ΠΈΠΊΠΎΠ² Π΄Π°Π½Π½ΠΎΠΉ ΠΎΡΡΠ°ΡΠ»ΠΈ. ΠΡΠΎΠ²Π΅ΡΠΊΠ° ΠΏΡΠΎΠ΅ΠΊΡΠ° ΠΏΠΎΠΊΠ°Π·Π°Π»Π°, ΡΡΠΎ Π½Π΅ΠΎΠ±Ρ
ΠΎΠ΄ΠΈΠΌΡ Π΄ΠΎΠΏΠΎΠ»Π½ΠΈΡΠ΅Π»ΡΠ½ΡΠ΅ ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΡΠ΅ΡΠ΅Π½ΠΈΡ, ΡΠ°ΠΊΠΈΠ΅ ΠΊΠ°ΠΊ ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΠ° Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΠΈ ΠΈΠ΄Π΅Π½ΡΠΈΡΠΈΠΊΠ°ΡΠΈΠΈ ΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°ΡΠ΅Π»Ρ, ΠΏΠΎΠΈΡΠΊ ΠΎΠ±ΡΠΈΡ
ΠΏΡΠ΅Π΄ΠΏΠΎΡΡΠ΅Π½ΠΈΠΉ Π΄Π»Ρ Π³ΡΡΠΏΠΏΡ ΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°ΡΠ΅Π»Π΅ΠΉ, ΠΎΠ±Π΅ΡΠΏΠ΅ΡΠ΅Π½ΠΈΠ΅ ΠΊΠΎΠ½ΡΠΈΠ΄Π΅Π½ΡΠΈΠ°Π»ΡΠ½ΠΎΡΡΠΈ ΠΈΠ½ΡΠ΅ΡΠ΅ΡΠΎΠ² ΠΈ ΠΏΡΠ΅Π΄ΠΏΠΎΡΡΠ΅Π½ΠΈΠΉ ΠΎΡΠ΄Π΅Π»ΡΠ½ΡΡ
ΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°ΡΠ΅Π»Π΅ΠΉ. ΠΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½Ρ ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΠΈ ΠΈΠ΄Π΅Π½ΡΠΈΡΠΈΠΊΠ°ΡΠΈΠΈ ΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°ΡΠ΅Π»Π΅ΠΉ ΠΈ Π²ΡΡΠ²Π»Π΅Π½ΠΈΡ ΠΈΡ
ΠΎΠ±ΡΠΈΡ
ΠΈΠ½ΡΠ΅ΡΠ΅ΡΠΎΠ² ΠΈ ΠΏΡΠ΅Π΄ΠΏΠΎΡΡΠ΅Π½ΠΈΠΉ
pHealth 2021. Proc. of the 18th Internat. Conf. on Wearable Micro and Nano Technologies for Personalised Health, 8-10 November 2021, Genoa, Italy
Smart mobile systems β microsystems, smart textiles, smart implants, sensor-controlled medical devices β together with related body, local and wide-area networks up to cloud services, have become important enablers for telemedicine and the next generation of healthcare services. The multilateral benefits of pHealth technologies offer enormous potential for all stakeholder communities, not only in terms of improvements in medical quality and industrial competitiveness, but also for the management of healthcare costs and, last but not least, the improvement of patient experience.
This book presents the proceedings of pHealth 2021, the 18th in a series of conferences on wearable micro and nano technologies for personalized health with personal health management systems, hosted by the University of Genoa, Italy, and held as an online event from 8 β 10 November 2021. The conference focused on digital health ecosystems in the transformation of healthcare towards personalized, participative, preventive, predictive precision medicine (5P medicine). The book contains 46 peer-reviewed papers (1 keynote, 5 invited papers, 33 full papers, and 7 poster papers). Subjects covered include the deployment of mobile technologies, micro-nano-bio smart systems, bio-data management and analytics, autonomous and intelligent systems, the Health Internet of Things (HIoT), as well as potential risks for security and privacy, and the motivation and empowerment of patients in care processes.
Providing an overview of current advances in personalized health and health management, the book will be of interest to all those working in the field of healthcare today
Master of Science
thesisExpertise is increasingly relied upon in the making of decisions, particularly decisions pertaining to health and pregnancy. And yet, recent interactions between scientists and the American public have highlighted the fact that scientific expertise has become a contested, if not rejected, form of knowledge. To more fully assess and understand the state of scientific communication in today's public discourse, this thesis examines a specific expert-lay relationship: that of pregnant women and their healthcare professionals. To examine this interaction, I look at a particular website, TheBump.com, which posits itself as providing "the inside scoop on pregnancy and parenting." Through a close reading of the webpages, discussion forums, and technical structure of the website, my analysis shows how neoliberal operationalizations of expertise work to complicate the expert-lay relationship in ways that offer no clear resolution. Specifically, I argue that neoliberal sensibilities reconfigure expertise by deploying authenticity, risk, and apomediation such that pregnant women are vested with the task of identifying, consuming, and correctly applying expertise to their decision-making. I conclude by arguing that we can understand expertise in neoliberal societies as being defined and deployed to attribute knowledge, responsibility, and choice to individuals with the ultimate result of reifying and protecting neoliberal capitalism itself