Lack of Acceptance of Digital Healthcare in the Medical Market: Addressing Old Problems Raised by Various Clinical Professionals and Developing Possible Solutions

다국어 초록 (Multilingual Abstract)

Various digital healthcare devices and apps, such as blood glucose meters, blood pressure monitors, and step-trackers are commonly used by patients; however, digital healthcare devices have not been widely accepted in the medical market as of yet. Despite the various legal and privacy issues involved in their use, the main reason for its poor acceptance is that users do not use such devices voluntarily and continuously. Digital healthcare devices generally do not provide valuable information to users except for tracking self-checked glucose or walking.
To increase the use of these devices, users must first understand the health data produced in the context of their personal health, and the devices must be easy to use and integrated into everyday life. Thus, users need to know how to manage their own data. Medical staff must teach and encourage users to analyze and manage their patient-generated healthcare data, and users should be able to find medical values from these digital devices. Eventually, a single customized service that can comprehensively analyze various medical data to provide valuable customized services to users, and which can be linked to various heterogeneous digital healthcare devices based on the integration of various health data should be developed. Digital healthcare professionals should have detailed knowledge about a variety of digital healthcare devices and fully understand the advantages and disadvantages of digital healthcare to help patients understand and embrace the use of such devices.

참고문헌 (Reference)

1 Greaves F, "What is an appropriate level of evidence for a digital health intervention" 392 (392): 2665-2667, 2019

2 Lu L, "Wearable health devices in health care : narrative systematic review" 8 (8): e18907-, 2020

3 Kim HS, "Using mobile phones in healthcare management for the elderly" 79 (79): 381-388, 2014

4 Sharma A, "Using digital health technology to better generate evidence and deliver evidence-based care" 71 (71): 2680-2690, 2018

5 McElroy I, "Use of digital health kits to reduce readmission after cardiac surgery" 204 (204): 1-7, 2016

6 Dunn P, "Technology approaches to digital health literacy" 293 : 294-296, 2019

7 Kim HS, "Social networking services-based communicative care for patients with diabetes mellitus in Korea" 7 (7): 899-911, 2016

8 Lee J, "Recent technology-driven advancements in cardiovascular disease prevention" 1 (1): 43-49, 2019

9 Stukus DR, "Real-world evaluation of a mobile health application in children with asthma" 120 (120): 395.e1-400.e1, 2018

10 Abdolkhani R, "Quality management of patient generated health data in remote patient monitoring using medical wearables-a systematic review" 252 : 1-7, 2018

11 Saravanakumar NM, "Predictive methodology for diabetic data analysis in big data" 50 : 203-208, 2015

12 Sung JH, "Peripartum management of gestational diabetes using a digital health care service : a pilot, randomized controlled study" 41 (41): 2426-2434, 2019

13 Melstrom LG, "Patient generated health data and electronic health record integration in oncologic surgery : a call for artificial intelligence and machine learning" 123 (123): 52-60, 2021

14 Maeder A, "Patient compliance in home-based self-care telehealth projects" 21 (21): 439-442, 2015

15 Lee J, "Out-of-hospital data: patient generated health data" 21 (21): 149-155, 2020

16 Smith B, "New technologies, new disparities : The intersection of electronic health and digital health literacy" 292 : 280-282, 2019

17 김헌성, "New Directions in Chronic Disease Management" 대한내분비학회 30 (30): 159-166, 2015

18 Bhavnani SP, "Mobile technology and the digitization of healthcare" 37 (37): 1428-1438, 2016

19 Sim I, "Mobile devices and health" 381 (381): 956-968, 2019

20 김헌성, "Medical Big Data Is Not Yet Available - Why We Need Realism Rather Than Exaggeration" 대한내분비학회 34 (34): 349-354, 2019

21 김헌성, "Lessons from Use of Continuous Glucose Monitoring Systems in Digital Healthcare" 대한내분비학회 35 (35): 541-548, 2020

22 김헌성, "Lessons from Temporary Telemedicine Initiated owing to Outbreak of COVID-19" 대한의료정보학회 26 (26): 159-161, 2020

23 Yeston NS, "Inspection, palpation, percussion, and auscultation = connection" 66 (66): 757-758, 2002

24 Koehler F, "Impact of remote telemedical management on mortality and hospitalizations in ambulatory patients with chronic heart failure : the telemedical interventional monitoring in heart failure study" 123 (123): 1873-1880, 2011

25 Kim JW, "Impact of personal health records and wearables on health outcomes and patient response : three-arm randomized controlled trial" 7 (7): e12070-, 2019

26 Rockwern B, "Health information privacy, protection, and use in the expanding digital health ecosystem: a position paper of the American College of Physicians" 174 (174): 994-998, 2021

27 Kim HS, "Future prospects of health management systems using cellular phones" 20 (20): 544-551, 2014

28 Nittas V, "Electronic patient-generated health data to facilitate disease prevention and health promotion : scoping review" 21 (21): e13320-, 2019

29 김헌성, "Efficacy of the Smartphone-Based Glucose Management Application Stratified by User Satisfaction" 대한당뇨병학회 38 (38): 204-210, 2014

30 김수경, "Effectiveness of 3-Day Continuous Glucose Monitoring for Improving Glucose Control in Type 2 Diabetic Patients in Clinical Practice" 대한당뇨병학회 38 (38): 449-455, 2014

31 Suman A, "Effectiveness and cost-utility of a multifaceted eHealth strategy to improve back pain beliefs of patients with nonspecific low back pain : a cluster randomised trial" 9 (9): e030879-, 2019

32 Lee SK, "Effect of diabetes education through pattern management on self-care and self-efficacy in patients with type 2 diabetes" 16 (16): 3323-, 2019

33 Blakey JD, "Digital technologies and adherence in respiratory diseases : the road ahead" 52 (52): 1801147-, 2018

34 Fagherazzi G, "Digital health strategies to fight COVID-19worldwide : challenges, recommendations, and a call for papers" 22 (22): e19284-, 2020

35 Widmer RJ, "Digital health intervention during cardiac rehabilitation : a randomized controlled trial" 188 : 65-72, 2017

36 Codella J, "Data quality challenges for person-generated health and wellness data" 62 (62): 3:1-3:8, 2018

37 김헌성, "Current Clinical Status of Telehealth in Korea: Categories, Scientific Basis, and Obstacles" 대한의료정보학회 21 (21): 244-250, 2015

38 Jung SH, "Continuous glucose monitoring is needed to detect unrecognized hypoglycemic event in diabetic patients with stroke" 3 (3): 140-151, 2002

39 Kim HS, "Continuous glucose monitoring : current clinical use" 28 (28): 73-78, 2012

40 Giacomo Cappon, "Continuous Glucose Monitoring Sensors for Diabetes Management: A Review of Technologies and Applications" 대한당뇨병학회 43 (43): 383-397, 2019

41 Ferguson CM, "Clinical Methods: The History, Physical, and Laboratory Examinations" Butterworths 1990

42 Godfrey A, "BioMeT and algorithm challenges : a proposed digital standardized evaluation framework" 8 : 0700108-, 2020

43 Purswani JM, "Big data from small devices : the future of smartphones in oncology" 29 (29): 338-347, 2019

44 김헌성, "Apprehensions about Excessive Belief in Digital Therapeutics: Points of Concern Excluding Merits" 대한의학회 35 (35): 1-8, 2020

45 Huang Z, "A smartphone app to improve medication adherence in patients with type 2 diabetes in Asia : feasibility randomized controlled trial" 7 (7): e14914-, 2019

46 Anand SS, "A digital health intervention to lower cardiovascular risk : a randomized clinical trial" 1 (1): 601-606, 2016