The use of mobile smart devices and medical apps in the family practice setting

Yaman, Hakan; Yavuz, Erdinç; Er, Adem; Vural, Ramazan; Albayrak, Yalçın; Yardımcı, Ahmet; Asilkan, Özcan

doi:10.1111/jep.12476

Cited by 42 publications

(10 citation statements)

References 23 publications

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“…Data acquisition is undergoing rapid change. Wearable devices, integrated sensors, and continuous monitoring capabilities are available for all scales of measurements [ 50 ]. Several legal issues will have to be tackled, for example, when a consumer device becomes a diagnostic device and the quality assurance and regulatory approval are more stringent [ 51 ].…”

Section: The Challenges Ahead For the Effective Use Of Big Data In Hementioning

confidence: 99%

Making sense of big data in health research: Towards an EU action plan

et al. 2016

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Medicine and healthcare are undergoing profound changes. Whole-genome sequencing and high-resolution imaging technologies are key drivers of this rapid and crucial transformation. Technological innovation combined with automation and miniaturization has triggered an explosion in data production that will soon reach exabyte proportions. How are we going to deal with this exponential increase in data production? The potential of “big data” for improving health is enormous but, at the same time, we face a wide range of challenges to overcome urgently. Europe is very proud of its cultural diversity; however, exploitation of the data made available through advances in genomic medicine, imaging, and a wide range of mobile health applications or connected devices is hampered by numerous historical, technical, legal, and political barriers. European health systems and databases are diverse and fragmented. There is a lack of harmonization of data formats, processing, analysis, and data transfer, which leads to incompatibilities and lost opportunities. Legal frameworks for data sharing are evolving. Clinicians, researchers, and citizens need improved methods, tools, and training to generate, analyze, and query data effectively. Addressing these barriers will contribute to creating the European Single Market for health, which will improve health and healthcare for all Europeans.

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Section: The Challenges Ahead For the Effective Use Of Big Data In Hementioning

confidence: 99%

Making sense of big data in health research: Towards an EU action plan

et al. 2016

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show abstract

“…Uluslararası literatürde sayısı gittikçe artan çalışmalara karşın, Türkiye'de KKDS'nin sağlık çalışanları arasında kullanımı ile ilgili oldukça sınırlı sayıda çalışma vardır (21). Kadın hastalıkları ve doğum uzmanlarının (KHDU) KKDS kullanımını araştıran bir çalışmaya da rastlanmamıştır.…”

Section: Introductionunclassified

Kadın Hastalıkları ve Doğum Uzmanlarının Klinik Karar Destek Sistemlerini Kullanımı Utilization af Clinical Decision Support Systems Among Obstetricians and Gynaecologists

Özdemir¹,

Gülhan²,

Tosun³

et al. 2020

STED / Sürekli Tıp Eğitimi Dergisi

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The aim of this study was to determine the level of use of clinical decision support systems (CDSS) by obstetricians and gynaecologists (OB/GYNs), who work in three metropolises of Turkey. Methods:The population of this cross-sectional study consisted of 178 (20,4%) of 872 OB/GYNs working in İzmir, Ankara and İstanbul. The data collected through face-to-face the interviews with OB/GYNs were summarized in percentage distribution. Chi-square test was used to evaluate the relationship between the use of CDSS and independent variables. Findings: 71,9% of the OB/GYNs used at least one CDSS during the working hours. The percentage of those using CDSS every day was 14,8. The percentage of using CDSS was higher among the young physicians (p<0,001), women (p<0,001), those with less than 15 years of expertise (p<0,001), those having academic titles (p= 0,012), and those working in the public sector (p= 0,005) and tertiary healthcare institutions (p<0,001). Conclusion:Although most of the OB/GYNs use CDSS, the proportion of those using it regularly every day is low. It may be recommended that the specialty associations should provide promotion and training about CDSS applications.

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“…Primary care professionals and patients appear to be amenable to integrating apps into care. Most primary care physicians currently use smartphones or tablets, and rate smart devices as important or very important to their daily work (5). In particular, medical students and junior professionals report relying upon apps as important sources of educational and reference information (5).…”

Section: Introductionmentioning

confidence: 99%

“…Most primary care physicians currently use smartphones or tablets, and rate smart devices as important or very important to their daily work (5). In particular, medical students and junior professionals report relying upon apps as important sources of educational and reference information (5). On the patient side, use of mental health apps is high and growing; in one study, 69% of respondents and 80% under age 45 reported a desire to use apps for mental health monitoring (6).…”

Section: Introductionmentioning

confidence: 99%

Mobile App Tools for Identifying and Managing Mental Health Disorders in Primary Care

Magee

Adut

Brazill

et al. 2018

Curr Treat Options Psych

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Purpose of Review. Mental health apps are intriguing yet challenging tools for addressing barriers to treatment in primary care. In the current review, we seek to assist primary care professionals with evaluating and integrating mental health apps into practice. We briefly summarize two leading frameworks for evaluating mental health apps and conduct a systematic review of mental health apps across a variety of areas commonly encountered in primary care. Recent Findings. Existing frameworks can guide professionals and patients through the process of identifying apps and evaluating dimensions such as privacy and security, credibility, and user experience. For specific apps, several problem areas appear to have relatively more scientific evaluation in the current app landscape, including PTSD, smoking, and alcohol use. Other areas such as eating disorders not only lack evaluation, but contain a significant subset of apps providing potentially harmful advice. Summary Overall, individuals seeking mental health apps will likely encounter strengths such as symptom tracking and psychoeducational components, while encountering common weaknesses such as insufficient privacy settings and little integration of empirically-supported techniques. While mental health apps may have more promise than ever, significant barriers to finding functional, usable, effective apps remain for health professionals and patients alike.

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The use of mobile smart devices and medical apps in the family practice setting

Cited by 42 publications

References 23 publications

Making sense of big data in health research: Towards an EU action plan

Making sense of big data in health research: Towards an EU action plan

Kadın Hastalıkları ve Doğum Uzmanlarının Klinik Karar Destek Sistemlerini Kullanımı Utilization af Clinical Decision Support Systems Among Obstetricians and Gynaecologists

Mobile App Tools for Identifying and Managing Mental Health Disorders in Primary Care

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