Effectively managing chronic diseases such as asthma, diabetes, cancer, and several others have been one of the biggest challenges for healthcare providers worldwide. According to a study, chronic diseases are responsible for 70% of deaths and about 50% of the disease burden globally. Owing to this, we will discuss how AI in chronic care management can change these numbers.
As the pandemic unleashed a global health crisis, many countries faced a shortage of healthcare professionals and medical resources. This caused several hurdles for patients with chronic conditions to get treatment at the right time. Such conditions forced chronic patients to adapt to remote and digital treatment, which is the new normal in the current world.
For medical professionals to deliver quality remote healthcare, it has become essential to leverage fast-emerging technologies like Artificial Intelligence (AI) and Machine Learning (ML).
Both AI and ML have already shown how they can significantly improve the efficiency of operations in various other industries like e-commerce, manufacturing, automotive, etc. In this article, we will take a look at the role of AI in Chronic Care Management (CCM).
Key Benefits of Chronic Care Management
Before we understand the importance of AI in Chronic Care Management, let us look at some key benefits of Chronic Care Management:
- Chronic Care Management or CCM offers an organized approach to dealing with chronic conditions, making the process more coordinated for patients as well as the healthcare provider.
- Healthcare providers can build long-term relationships with patients through their CCM services, which can result in increased revenue.
- It can prevent unnecessary visits to partitioners.
- Researchers have proved that CCM can offer quality healthcare to patients at a lower cost.
What is the Role of AI in Critical Care Management?
Here is how AI in chronic care management can turn around the situation:
● Medical Data Analysis
An extensive medical data set will be required to utilize AI in chronic care management at its full potential. In today’s digital world, it can be easily gathered throughout the patient life cycle via mobile applications, IoT devices, and patient portal software. An Al-based algorithm can analyze this pool of data and generate new insights and opportunities for both patients and medical professionals in CCM. This can streamline the overall chronic care management processes.
● Prognosis and Prevention of the Disease
One aspect of CCM is to prevent diseases from happening. With the help of AI, practitioners can identify the choric disease to which the patient is susceptible. This allows the doctors to take the correct preventive measures and circumvent the chronic condition.
In a study published by Yannis Paschalidis in Harvard Business Review, healthcare professionals were able to forecast hospitalizations due to diabetes and heart disease a year in advance using machine learning and Electronic Health Records (EHRs) with an accuracy of 82%.
● Diagnosis of Diseases
Many recent studies have proved that AI can also be indispensable when it comes to the diagnosis of diseases. Al-algorithms can easily detect diseases based on data points like medical imagery, ECG data, patients’ demography, and their medical history. Such developments have led to time and cost-effective CCM service. It also has significantly improved remote diagnosis.
The healthcare data can be used to create AI/ML models that can assist physicians in medication modeling and treatment suggestions. These models can be further applied to suggest appropriate dosage and treatment plans for the patient.
A personalized plan and treatment for individual patients can also be created by AI. The personalized treatment can enable clinicians to intervene before a patient’s condition becomes critical, making CCM more effective.
Recently, a company named IBM Watson has achieved some remarkable results by utilizing AI in the field of oncology. The organization performed genetic data analysis and was successfully able to identify the rare secondary leukemia caused by myelodysplastic syndromes.
● Remote Patient Monitoring (RPM)
With an AI-powered CCM, healthcare professionals can constantly monitor a patient’s vitals like blood pressure, pulse rate, temperatures, etc., from the comfort of their home. The AI can also send an alert to health professionals if there is any sudden or critical change in the vitals of a patient.
● Virtual Assistant
Chronic diseases generally last for a lifetime. As the patient gets older, it gets difficult for them to keep track of medication and appointments, which causes disturbance in their chronic care management. In such cases, an AI-powered virtual assistant can come in handy for the patient. It can assist them by ensuring drug adherence and also monitor their vital data.
For example, a Meditech company created AI-embed nurse avatars that send notifications to the patient each morning for a check-in routine, record their vitals, and sends alerts for timely intake of medicine.
Another aspect of chronic care management is measuring and managing the patient’s chronic pain. Here again, AI can assist in detecting chronic pain by monitoring the facial muscle movements of patients who are unable to self-report the pain to their physicians.
Artificial Intelligence can offer actionable insights to guide clinical decisions and allow physicians to diagnose, treat and handle chronic conditions remotely, thus making chronic care management more efficient, accessible, and affordable.
That’s why many healthcare organizations have begun to utilize AI in their chronic care management services. If you are also looking to leverage AI to improve your chronic care management, you will need to hire or work with people who have relevant expertise and skill set.
Mindfire Solutions is an IT-service provider that has worked with several healthcare organizations over the years to provide customized healthcare tech solutions that are highly cost-effective, secure, and scalable. Visit Mindfire Solutions to learn more about us.
Kuendesha kwa ufanisi magonjwa ya muda mrefu kama vile pumu, kisukari, kansa, na mengine mengi imekuwa moja ya changamoto kubwa kwa watoa huduma za afya ulimwenguni. Kulingana na utafiti, magonjwa ya muda mrefu ni wajibu kwa 70% ya vifo na karibu 50% ya mzigo wa magonjwa duniani kote. Kwa sababu hii, tutazungumzia jinsi AI katika usimamizi wa utunzaji wa muda mrefu inaweza kubadilisha idadi hizi. Wakati janga hilo lilipozua mgogoro wa afya ulimwenguni, nchi nyingi zilikabiliwa na upungufu wa wataalamu wa huduma za afya na rasilimali za matibabu. Hii ilisababisha vizuizi kadhaa kwa wagonjwa wenye magonjwa ya kudumu kupata matibabu kwa wakati unaofaa. Hali kama hizo zililazimisha wagonjwa wa muda mrefu kukabiliana na matibabu ya mbali na ya dijiti, ambayo ni kawaida mpya katika ulimwengu wa sasa. Kwa wataalamu wa matibabu kutoa huduma bora za afya za mbali, imekuwa muhimu kutumia teknolojia zinazojitokeza haraka kama akili ya bandia (AI) na kujifunza mashine (ML). AI na ML tayari zimeonyesha jinsi zinaweza kuboresha ufanisi wa shughuli katika viwanda vingine kama vile e-commerce, utengenezaji, magari, na kadhalika. Katika makala hii, tutaangalia jukumu la AI katika Usimamizi wa Utunzaji wa Muda Mrefu (CCM). Kumbuka: Kabla ya kuelewa umuhimu wa AI katika usimamizi wa huduma ya muda mrefu, hebu tuangalie baadhi ya faida kuu za usimamizi wa huduma ya muda mrefu: Usimamizi wa huduma ya muda mrefu (CCM) hutoa mbinu iliyoandaliwa ya kushughulikia hali ya muda mrefu, na kufanya mchakato huo ujumuike zaidi kwa wagonjwa na watoa huduma za afya. Watoa huduma za afya wanaweza kujenga uhusiano wa muda mrefu na wagonjwa kupitia huduma zao za CCM, ambayo inaweza kusababisha mapato ya kuongezeka. - Inaweza kuzuia ziara zisizohitajika kwa partitioners. Watafiti wamethibitisha kuwa CCM inaweza kutoa huduma bora ya afya kwa wagonjwa kwa gharama ya chini. Ni nini jukumu la AI katika usimamizi wa Huduma ya Makali? AI inaweza kubadilisha hali katika usimamizi wa utunzaji wa muda mrefu: Uchambuzi wa Takwimu za Matibabu Mkusanyiko mkubwa wa data ya matibabu utahitajika kutumia AI katika usimamizi wa utunzaji wa muda mrefu kwa uwezo wake kamili. Katika ulimwengu wa leo wa dijiti, inaweza kukusanywa kwa urahisi katika mzunguko wa maisha ya mgonjwa kupitia programu za rununu, vifaa vya IoT, na programu ya portal ya mgonjwa. Algorithm ya AI inaweza kuchambua hifadhi hii ya data na kutoa ufahamu mpya na fursa kwa wagonjwa na wataalamu wa matibabu katika CCM. Hii inaweza kurahisisha mchakato wa jumla wa usimamizi wa utunzaji wa muda mrefu. • Ugonjwa wa ugonjwa wa ugonjwa wa ugonjwa wa ugonjwa wa ugonjwa wa ugonjwa wa ugonjwa wa ugonjwa wa ugonjwa wa ugonjwa wa ugonjwa wa ugonjwa wa ugonjwa wa ugonjwa wa ugonjwa wa ugonjwa wa ugonjwa wa ugonjwa wa ugonjwa wa ugonjwa wa ugonjwa wa ugonjwa wa ugonjwa wa ugonjwa wa ugonjwa wa ugonjwa wa ugonjwa wa ugonjwa wa ugonjwa wa ugonjwa. Kwa msaada wa AI, wataalamu wanaweza kutambua ugonjwa wa choric ambao mgonjwa ni nyeti. Hilo huwawezesha madaktari kuchukua hatua sahihi za kuzuia na kuepuka hali hiyo ya kudumu. Katika utafiti uliochapishwa na Yannis Paschalidis katika Harvard Business Review, wataalamu wa huduma za afya waliweza kutabiri upatikanaji wa wagonjwa wa kisukari na ugonjwa wa moyo mwaka mmoja mapema kwa kutumia kujifunza mashine na Rekodi za Afya za Elektroniki (EHRs) na usahihi wa 82%. Utafiti wa hivi karibuni unaonyesha kwamba AI inaweza kuwa muhimu sana katika utambuzi wa magonjwa. Algorithms inaweza kwa urahisi kugundua magonjwa kulingana na pointi za data kama picha za matibabu, data ya ECG, idadi ya watu wa wagonjwa, na historia yao ya matibabu. Maendeleo kama hayo yamesababisha huduma ya CCM ya wakati na gharama nafuu. Pia imeboresha sana utambuzi wa mbali. Takwimu za huduma za afya zinaweza kutumiwa kuunda mifano ya AI-ML ambayo inaweza kusaidia madaktari katika muundo wa dawa na mapendekezo ya matibabu. Mifano hii inaweza kutumika zaidi kupendekeza dozi sahihi na mipango ya matibabu kwa mgonjwa. Mpango wa kibinafsi na matibabu kwa wagonjwa binafsi pia yanaweza kuundwa na AI. Matibabu ya kibinafsi yanaweza kuwawezesha madaktari kuingilia kati kabla ya hali ya mgonjwa kuwa muhimu, na kufanya CCM iwe na ufanisi zaidi. Kampuni ya IBM Watson imepata mafanikio makubwa katika utafiti wake wa AI. Shirika hilo lilifanya uchambuzi wa data ya maumbile na lilifanikiwa kutambua leukemia ya pili nadra inayosababishwa na ugonjwa wa myelodysplastic. • Remote mgonjwa ufuatiliaji (RPM): Kwa AI-powered CCM, wataalamu wa huduma ya afya wanaweza daima kufuatilia vitals mgonjwa kama vile shinikizo la damu, msukumo wa moyo, joto, na kadhalika, kutoka faraja ya nyumba yao. AI inaweza pia kutuma tahadhari kwa wataalamu wa afya ikiwa kuna mabadiliko yoyote ya ghafla au muhimu katika vitals ya mgonjwa. ● Msaidizi wa Virtual Magonjwa ya muda mrefu kwa kawaida huendelea maisha yote. Kadiri mgonjwa anavyoendelea kukua, inakuwa vigumu kwa ajili yao kufuatilia dawa na miadi, ambayo husababisha usumbufu katika usimamizi wao wa utunzaji wa muda mrefu. Katika hali kama hizo, msaidizi wa kihalisi mwenye nguvu ya AI anaweza kuwa na manufaa kwa mgonjwa. Inaweza kuwasaidia kwa kuhakikisha kufuata dawa na pia kufuatilia data zao muhimu. Kampuni ya Meditech imeanzisha avatar za muuguzi zilizounganishwa na AI ambazo hutuma taarifa kwa mgonjwa kila asubuhi kwa utaratibu wa ukaguzi, kurekodi alama zao muhimu, na kutuma tahadhari kwa ulaji wa dawa kwa wakati. Sehemu nyingine ya usimamizi wa utunzaji wa muda mrefu ni kupima na kusimamia maumivu ya muda mrefu ya mgonjwa. AI inaweza kusaidia katika kugundua maumivu ya muda mrefu kwa kufuatilia misuli ya uso wa wagonjwa ambao hawawezi kujiripoti kwa madaktari wao. Akili bandia inaweza kutoa ufahamu unaoweza kutekelezwa ili kuongoza maamuzi ya kliniki na kuruhusu madaktari kugundua, kutibu na kushughulikia hali za muda mrefu kwa mbali, na hivyo kufanya usimamizi wa huduma ya muda mrefu kuwa na ufanisi zaidi, kupatikana na bei nafuu. Hiyo ndiyo sababu mashirika mengi ya huduma za afya yameanza kutumia AI katika huduma zao za usimamizi wa utunzaji wa muda mrefu. Ikiwa unaangalia pia kutumia AI kuboresha usimamizi wako wa utunzaji wa muda mrefu, utahitaji kuajiri au kufanya kazi na watu ambao wana utaalam na ujuzi unaofaa. Mindfire Solutions ni mtoa huduma wa IT ambaye amefanya kazi na mashirika kadhaa ya huduma za afya kwa miaka mingi kutoa suluhisho la teknolojia ya huduma za afya zilizoboreshwa ambazo ni za gharama nafuu, salama, na zinazoweza kubadilishwa. Tembelea Mindfire Solutions kujifunza zaidi kuhusu sisi.